Knit is an end-to-end Insights Platform combining the power of Quant, Video and AI to help brands get a quicker and more holistic understanding of their target audience.

Industry: Research
Company Size: 11-50 employees

Knit

Savvy Admin PROD

**Who we're looking for...**

**Role: ** Director of Enterprise Sales

**Supervisory Responsibility: ** This role will have 6-8 direct reports

**Location: **We are a remote-first company but we prioritize candidates in Seattle, Denver, and San Francisco given the requirements of this role.

**Travel: **This role will travel as needed for in-person customer meetings and industry conferences. Note: Knit does US All Team, in-person company events 2x per year.

**Salary Range: **$160 - 180K base (50% variable, 50% commission)

**A little about us…**

**Knit ** is the AI-native consumer research platform helping brands automate and accelerate primary research. With our Researcher-Driven AI, we’ve condensed the entire quant + qual research process from weeks into days (sometimes hours!) for 50+ enterprise brands — including Amazon, T-Mobile, Mars, NASCAR, and more. We’re on a mission to scale and democratize world-class research. From survey generation to stakeholder-ready reports, our platform is redefining how insights teams operate — and we need your help to push the limits of what’s possible.

**Overview**

The **Director of Enterprise Sales ** will play a pivotal role in leading and developing Knit's enterprise sales organization—driving the execution, discipline, and results needed to accelerate our journey from **$10M to $100M in ARR **.

You’ll lead a team of 7–8 full-cycle **Enterprise Account Executives ** responsible for acquiring new enterprise clients and expanding into new business units within existing accounts. This is a hands-on leadership role focused on refining and enforcing a rigorous, metrics-driven sales process while coaching the team to perform at their highest level.

**You’ll join a team that’s building something category-defining—and you’ll help shape how some of the world’s most respected brands uncover and activate insights through AI-native research.**

Reporting to the Head of Sales and Partnerships, you’ll partner closely with senior leadership—including the COO—to strengthen Knit's sales methodology, optimize pipeline health, and scale a culture of accountability, excellence, and growth.

**Responsibilities | What you will own...**

**Primary Responsibilities**

- **Lead, coach, and develop ** a high-performing team of 7–8 Enterprise Account Executives, driving consistent execution and professional growth.

- **Enforce a disciplined sales process, ** ensuring every deal follows clear qualification, stage progression, and documentation standards.

- **Drive operational excellence ** through rigorous pipeline management, accurate forecasting, and adherence to Salesforce hygiene best practices.

- **Refine and optimize repeatable sales processes ** using elements of MEDDIC and SPICED, improving efficiency and predictability across the team.

- **Partner closely with Marketing, Research, and Customer Success ** to ensure alignment across the entire customer journey—from initial outreach through onboarding.

- **Inspect and support active deals, ** providing real-time coaching, feedback, and hands-on assistance in strategic opportunities.

- **Recruit, hire, and onboard ** top enterprise sales talent, building a world-class team that embodies Knit’s values and culture.

- **Collaborate with Sales Leadership and the COO ** to define KPIs, analyze performance trends, and continuously improve the go-to-market motion.

- **Foster a culture of accountability and learning, ** emphasizing data-driven decision-making, teamwork, and professional development.

**What Success Looks Like**

You’ll be measured primarily by:

- **Team Quota Attainment: ** Achieving and exceeding collective new business and cross-sell revenue targets.

- **Pipeline Health: ** Maintaining consistent, qualified pipeline coverage and high forecasting accuracy.

- **Sales Process Excellence: ** Driving consistent execution of MEDDIC/SPICED methodologies and Salesforce best practices.

- **Talent Development: ** Improving individual AE performance through structured coaching and skill development.

- **Hiring and Retention: ** Recruiting exceptional sales talent and cultivating a high-performance, low-turnover team.

**Required Skills & Experiences**

A successful candidate for this role is a proven enterprise sales leader who thrives on building teams, improving processes, and coaching people toward peak performance. You combine operational rigor with empathy and lead through data, accountability, and example.

**Required:**

- 7+ years of enterprise sales experience, including 3+ years managing a team of 4 or more quota-carrying Account Executives.

- Proven success leading enterprise sales teams focused on new logo acquisition and cross-sell growth.

- Strong command of sales process design and execution—ideally with experience using MEDDIC, SPICED, or similar frameworks.

- Expertise managing CRM systems (Salesforce preferred) with a deep commitment to pipeline hygiene and data accuracy.

- Consistent track record of team quota attainment and pipeline growth in enterprise B2B environments.

- Exceptional coaching and leadership skills, with a focus on developing AEs into top performers.

- Strategic mindset with strong analytical ability—able to identify patterns, diagnose performance gaps, and implement effective improvements.

- Experience collaborating cross-functionally with Marketing, Research, and Customer Success teams.

- A builder’s mindset—comfortable bringing structure to a scaling organization and excited to refine repeatable, world-class sales processes.

**Nice to Haves:**

- Background in research, insights, data analytics, or SaaS platforms serving enterprise clients.

- Experience managing sales teams within high-growth or startup environments.

- Familiarity with AI or technology-enabled solutions that transform enterprise decision-making.

- Track record of successfully hiring, mentoring, and promoting top sales talent.

**Benefits**

Upon joining the Knit team, you will receive a competitive salary + commission plan if applicable to role, Equity Options, Healthcare (medical, dental, and vision), and Additional Coverage, a company laptop and one-time, onboarding Technology Stipend, a 401(k) with company match, flexible time-off, hybrid working, and more!

**Salary**

In accordance with New York pay transparency requirements, the base salary range for this role is $160,000-$180,000 with OTE of $300,000-$340,000. Final compensation will be determined based on the candidate’s level, experience, and qualifications upon joining Knit.

**Our Company Values**

**We are the Championship Team. This means we:**

- **Are 1% better every day: **We approach situations with a growth mindset and ask, “How can we make the business better?” and “What would it take?”

- **Play to win: **We set audacious goals and push ourselves to achieve them with a bias towards action (When we see a need, we take initiative, and hold ourselves accountable to seeing it through).

- **Keep the main thing the main thing: ** Identify what has the biggest impact and prioritize to focus on it.

Pay Range: $300,000 USD - $340,000 USD

Knit Privacy Policy here.

CCPA disclosure here.

Director of Enterprise Sales (PST/MST)

Cohere is the leading AI platform for enterprise. Our world-class AI is uniquely suited to the needs of business, unlocking unprecedented ease-of-use, accessibility, and data privacy. Cohere’s platform is cloud-agnostic, accessible through API as a managed service, and can be deployed on virtual private cloud (VPC) or even on-site to meet companies where their data is, offering the highest levels of flexibility and control. 

Founded by Google Brain alumni and a co-author of the seminal Transformer research paper, Cohere is on a mission to transform enterprises and their products with AI that unlocks a more intuitive way to generate, search, and summarize information than ever before. We are backed by group of global institutional and strategic investors including Index Ventures, Oracle, NVIDIA, Salesforce Ventures, Inovia Capital, DTCP, Mirae Asset, Radical Ventures, Section 32, and Tiger Global, as well as several AI luminaries, including Geoffrey Hinton, Jeff Dean, Fei-Fei Li, Pieter Abbeel, and Raquel Urtasun.

Industry: Software Development
Company Size: 201-500 employees

Cohere

**Who are we?**

Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.

We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.

Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.

Join us on our mission and shape the future!

**About The Role**

Cohere is seeking a creative Social Media Community Specialist to build and engage communities on X (Twitter) and Reddit. This **intermediate individual contributor ** role is perfect for a digital storyteller passionate about bringing together audiences interested in AI and ML in a way that strengthens Cohere’s brand identity and technical credibility in the AI space.

**Key Responsibilities**

- Create and post content tailored to each platform (X, Reddit) that will resonate with audiences interested in AI modelling and technology, ensuring a consistent yet platform-specific brand voice.

- Be the voice of Cohere in communities on Reddit and X where AI models are debated, dissected, and discussed. Champion Cohere’s “Sovereign AI” approach and positioning.

- Create a variety of content types, including text, visuals, and videos, optimized for social media engagement.

- Stay ahead of trends and leverage AI tools for content ideation, generation, and performance analysis.

- Collaborate with cross-functional teams (Design, Marketing, Product) to align content with broader company social campaigns and product launches.

- Monitor social media analytics to refine content approaches and enhance audience engagement.

**What We're Looking For**

- Experience: 3-5 years in community curation and content creation on X and Reddit, with a strong portfolio showcasing platform-specific strategies and audience growth at a tech company or similar organization.

- Creativity: Ability to produce engaging content that stands out in a crowded digital landscape–from end to end, including copywriting and asset creation.

- Strategic thinking: Skill in analyzing trends, audience behavior, and performance to inform decisions.

- Adaptability: Comfort experimenting on new platforms and adjusting strategies based on emerging trends and technologies.

- Collaboration: Excellent teamwork skills, with the ability to work closely with designers, writers, marketers, PR, and product teams.

- Ecosystem Knowledge: Proven ability to engage and interact with technical and developer communities with confidence and credibility

- AI curiosity: Interest in leveraging AI tools for content creation and optimization, even without prior experience.

**Why Cohere?**

- Impactful work: Shape the voice of a leading AI company and engage with a global audience of tech enthusiasts, business leaders, and AI experts.

- Innovative environment: Join a team that values creativity, experimentation, and staying ahead of digital trends.

- Growth opportunities: Be part of a growing team with opportunities to explore new platforms and strategies.

- Flexible culture: Enjoy remote work flexibility and a collaborative, supportive atmosphere.

**Bonus Points**

- Experience with AI-powered content tools.

- Familiarity with analytics tools for tracking social media performance.

- A finger on the pulse of social trends, AI trends, and experience creating multimedia content.

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.

**Full-Time Employees At Cohere Enjoy These Perks**

🤝 An open and inclusive culture and work environment

🧑‍💻 Work closely with a team on the cutting edge of AI research

🍽 Weekly lunch stipend, in-office lunches & snacks

🦷 Full health and dental benefits, including a separate budget to take care of your mental health

🐣 100% Parental Leave top-up for up to 6 months

🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement

🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend

✈️ 6 weeks of vacation (30 working days!)

Social Media Community Specialist (Reddit, Twitter/X)

Polymath is an applied research lab focused on increasing the reliability and autonomy of AI agents, in order to better serve people. We're heading towards a future where AI agents will be able to perform useful work over long horizons, with little or no human supervision. To increase the performance of autonomous agents, they must be trained in simulation environments that reflect the real world. Polymath builds simulated worlds for agents to practice and learn through experience.

Industry: Research Services
Company Size: 2-10 employees

Polymath

**About Polymath **

Polymath** **is** **an applied research lab focused on advancing long-horizon agent capabilities through reinforcement learning. We design and scale simulation environments where agents learn to operate safely and autonomously. We work with the world’s leading model labs to push the frontier of agent capabilities. Polymath is backed by Base10, Founders Future, Y Combinator, and other incredible investors & angels.

**About the role **

We’re hiring engineers and researchers to build the systems, environments, and benchmarks that will define the next generation of autonomous agents. Depending on your skillsets and interests, you could work across building environment simulation systems, distributed evaluation infrastructure, or agent post-training. You’ll be on the founding team, and have ownership over core technical bets at the company. Examples of projects you could work on include:

- Developing advanced environment simulation engines for training & evaluating autonomous AI agents

- Building scalable infrastructure to run thousands of simulation environments in parallel

- Developing frontier benchmarks

- Post-training general and specialized agents

- Publishing research

**You’ll be a good fit if you: **

- Have strong engineering fundamentals

- Are a prolific user of AI tools

- Enjoy tackling difficult, open-ended technical problems

- Have high agency, ship quickly, and uphold a high quality bar

- Want to work closely with a small, ambitious team

**Top candidates will have expertise in at least one of these domains, but interest in multiple: **

- Infrastructure, containerization, and networking

- Large-scale data systems / distributed systems

- Post-training frontier models

- Reinforcement learning

**Perks: **

- 🪷 Comprehensive health, dental, and vision insurance

- 🏦 401(k)

- 🌎 Unlimited PTO

- 🍽 Free meals with the team

- 🧘 Wellness stipend & learning stipend

- 💻 Top of the line tech

- 🌁 Frequent team activities and outings

**Culture: **

- Polymath is a team of researchers, engineers, and operators passionate about advancing the frontier of safe, superintelligent AI agents.

- We have a flat organizational structure. We believe that people do their best work when they’re self-motivated and driven by a desire to learn, contribute to the team’s goals, and advance scientific progress.

- We’re looking for folks who ship fast, set high standards for themselves, and are great team players. You’ll be a member of our founding team: have fun, learn a lot, and do high-impact work alongside great people.

Member of Technical Staff

Lambda provides computation to accelerate human progress. We're a team of Deep Learning engineers building the world's best GPU cloud, clusters, servers, and workstations. Our products power engineers and researchers at the forefront of human knowledge. Customers include Intel, Microsoft, Google, Amazon Research, Tencent, Kaiser Permanente, MIT, Stanford, Harvard, Caltech, Los Alamos National Lab, Disney, and the Department of Defense.

Industry: Software Development
Company Size: 201-500 employees

Lambda

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

- Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

**The Opportunity**

We're looking for a Head of Corporate Strategy to serve as a key strategic thought partner to the SVP of Commercial Strategy and Lambda's senior leadership team. As we scale rapidly across GPU cloud, data center infrastructure, and AI systems, we need a seasoned strategist who can independently own Lambda's corporate strategy function—synthesizing market intelligence, competitive dynamics, and internal data into clear strategic choices—and drive high-priority cross-functional initiatives from concept to execution. This role sits at the intersection of long-range planning, commercial strategy, M&A and technology evaluation, executive communication, and will have high visibility with the CEO and C-suite.

**What You'll Do**

- Lead Corporate Strategy & Long-Range Planning

- Own Lambda's annual and multi-year strategic planning process, synthesizing input from commercial, product, finance, and operations into a cohesive corporate strategy

- Identify and size emerging opportunities in AI infrastructure, GPU cloud, and adjacent markets; develop strategic frameworks to guide investment and build/buy/partner decisions

- Lead competitive intelligence efforts—tracking hyperscalers, co-location providers, GPU cloud competitors, and AI-native challengers—and translate insights into executive recommendations

- Partner with the CFO and Finance to align the long-range strategic plan with the financial model and capital allocation priorities

- Drive Executive Communication & Stakeholder Alignment

- Develop board-level strategy materials and CEO decision-support documents

- Drive alignment across senior leadership on strategic priorities; create clear frameworks to resolve competing resource and investment decisions

- Prepare the CEO and SVP for external strategy conversations, including customer EBRs, partner discussions, and industry forums

- Support Commercial Strategy

- Partner with the SVP of Commercial Strategy on go-to-market architecture, pricing strategy, and large deal structuring for enterprise and hyperscaler accounts

- Lead cross-functional projects on behalf of the SVP, ensuring workstreams deliver on time and at C-suite quality bar

- Support Strategic Technology Evaluation

- Own the framework for evaluating long range strategic technology areas that maybe synergistic with Lambda’s current business —from initial screening and thesis development through diligence and recommendation. This includes assess emerging technologies, AI software platforms, hardware capabilities, and infrastructure tooling for strategic fit, competitive differentiation, and build/buy/partner trade-offs

- Develop and maintain a structured pipeline of potential partnership opportunities in AI infrastructure, silicon, networking, and adjacent software markets while working closely with the corporate development team on potential M&A fit.

- Lead financial and strategic diligence workstreams: market sizing, competitive positioning, synergy modeling, integration risk assessment, and long-range value creation scenarios

- Build Market & Organizational Intelligence

- Build and maintain Lambda's strategic market model—tracking TAM/SAM, competitive positioning, win/loss patterns, and customer segment dynamics

- Synthesize signals from Sales, Product, Data Center Ops, and Finance into strategic insight for senior leadership

- Develop Lambda's perspective on macro trends shaping AI infrastructure demand: model training workloads, inference at scale, sovereign AI, and enterprise adoption curves

- Mentor and develop strategy analysts and associates; scale team output as the function grows

**What You'll Have**

- 10+ years of experience across strategy consulting (McKinsey, BCG, Bain, or equivalent), investment banking, and/or corporate strategy at a high-growth or publicly traded technology company

- Deep expertise in AI, cloud infrastructure, or data center markets; ability to independently develop and own market models, competitive landscapes, and investment theses

- Demonstrated track record of independently translating ambiguous, high-stakes strategic questions into boardroom-ready frameworks and executive recommendations

- Experience leading large, cross-functional strategic initiatives with direct C-suite accountability and material impact on company direction

- Familiarity evaluating AI software, hardware, or infrastructure technologies for strategic fit; ability to engage credibly with technical teams on architecture and capability assessments

- Prior role as a right-hand strategic partner to a CCO, CRO, or President in a commercial strategy capacity is valued

- Track record of building, mentoring, or managing strategy teams; ability to develop junior talent and scale team output

- Exceptional written and verbal communication skills; proven ability to develop and deliver board-level strategy materials

- Operates with VP-adjacent ownership—sets the agenda, manages ambiguity, and builds the function rather than just executing within it

**Education & Credentials**

- Bachelor's degree in Economics, Finance, Business, or related field required

- MBA from a top-tier institution strongly preferred

- Prior experience in a structured analytical training program (consulting, banking, or equivalent) strongly preferred

**Salary Range Information**

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

**About Lambda**

- Founded in 2012, with 500+ employees, and growing fast

- Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove

- We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG

- Our values are publicly available: https://lambda.ai/careers

- We offer generous cash & equity compensation

- Health, dental, and vision coverage for you and your dependents

- Wellness and commuter stipends for select roles

- 401k Plan with 2% company match (USA employees)

- Flexible paid time off plan that we all actually use

**A Final Note**

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

**Equal Opportunity Employer**

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Compensation Range: $300K - $450K

Head of Corporate Strategy

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

- Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

**The Opportunity**

We're looking for a Head of Corporate Strategy to serve as a key strategic thought partner to the SVP of Commercial Strategy and Lambda's senior leadership team. As we scale rapidly across GPU cloud, data center infrastructure, and AI systems, we need a seasoned strategist who can independently own Lambda's corporate strategy function—synthesizing market intelligence, competitive dynamics, and internal data into clear strategic choices—and drive high-priority cross-functional initiatives from concept to execution. This role sits at the intersection of long-range planning, commercial strategy, M&A and technology evaluation, executive communication, and will have high visibility with the CEO and C-suite.

**What You'll Do**

- Lead Corporate Strategy & Long-Range Planning

- Own Lambda's annual and multi-year strategic planning process, synthesizing input from commercial, product, finance, and operations into a cohesive corporate strategy

- Identify and size emerging opportunities in AI infrastructure, GPU cloud, and adjacent markets; develop strategic frameworks to guide investment and build/buy/partner decisions

- Lead competitive intelligence efforts—tracking hyperscalers, co-location providers, GPU cloud competitors, and AI-native challengers—and translate insights into executive recommendations

- Partner with the CFO and Finance to align the long-range strategic plan with the financial model and capital allocation priorities

- Drive Executive Communication & Stakeholder Alignment

- Develop board-level strategy materials and CEO decision-support documents

- Drive alignment across senior leadership on strategic priorities; create clear frameworks to resolve competing resource and investment decisions

- Prepare the CEO and SVP for external strategy conversations, including customer EBRs, partner discussions, and industry forums

- Support Commercial Strategy

- Partner with the SVP of Commercial Strategy on go-to-market architecture, pricing strategy, and large deal structuring for enterprise and hyperscaler accounts

- Lead cross-functional projects on behalf of the SVP, ensuring workstreams deliver on time and at C-suite quality bar

- Support Strategic Technology Evaluation

- Own the framework for evaluating long range strategic technology areas that maybe synergistic with Lambda’s current business —from initial screening and thesis development through diligence and recommendation. This includes assess emerging technologies, AI software platforms, hardware capabilities, and infrastructure tooling for strategic fit, competitive differentiation, and build/buy/partner trade-offs

- Develop and maintain a structured pipeline of potential partnership opportunities in AI infrastructure, silicon, networking, and adjacent software markets while working closely with the corporate development team on potential M&A fit.

- Lead financial and strategic diligence workstreams: market sizing, competitive positioning, synergy modeling, integration risk assessment, and long-range value creation scenarios

- Build Market & Organizational Intelligence

- Build and maintain Lambda's strategic market model—tracking TAM/SAM, competitive positioning, win/loss patterns, and customer segment dynamics

- Synthesize signals from Sales, Product, Data Center Ops, and Finance into strategic insight for senior leadership

- Develop Lambda's perspective on macro trends shaping AI infrastructure demand: model training workloads, inference at scale, sovereign AI, and enterprise adoption curves

- Mentor and develop strategy analysts and associates; scale team output as the function grows

**What You'll Have**

- 10+ years of experience across strategy consulting (McKinsey, BCG, Bain, or equivalent), investment banking, and/or corporate strategy at a high-growth or publicly traded technology company

- Deep expertise in AI, cloud infrastructure, or data center markets; ability to independently develop and own market models, competitive landscapes, and investment theses

- Demonstrated track record of independently translating ambiguous, high-stakes strategic questions into boardroom-ready frameworks and executive recommendations

- Experience leading large, cross-functional strategic initiatives with direct C-suite accountability and material impact on company direction

- Familiarity evaluating AI software, hardware, or infrastructure technologies for strategic fit; ability to engage credibly with technical teams on architecture and capability assessments

- Prior role as a right-hand strategic partner to a CCO, CRO, or President in a commercial strategy capacity is valued

- Track record of building, mentoring, or managing strategy teams; ability to develop junior talent and scale team output

- Exceptional written and verbal communication skills; proven ability to develop and deliver board-level strategy materials

- Operates with VP-adjacent ownership—sets the agenda, manages ambiguity, and builds the function rather than just executing within it

**Education & Credentials**

- Bachelor's degree in Economics, Finance, Business, or related field required

- MBA from a top-tier institution strongly preferred

- Prior experience in a structured analytical training program (consulting, banking, or equivalent) strongly preferred

**Salary Range Information**

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

**About Lambda**

- Founded in 2012, with 500+ employees, and growing fast

- Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove

- We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG

- Our values are publicly available: https://lambda.ai/careers

- We offer generous cash & equity compensation

- Health, dental, and vision coverage for you and your dependents

- Wellness and commuter stipends for select roles

- 401k Plan with 2% company match (USA employees)

- Flexible paid time off plan that we all actually use

**A Final Note:**

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

**Equal Opportunity Employer**

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Compensation Range: $300K - $450K

Inside Higher Ed is the leading source for the latest news, analysis, and services for the entire higher education community. We deliver independent news and analysis that informs the world about higher education, while providing essential tools and services to help organizations and professionals be more effective.

Go to www.insidehighered.com/newsletter/signup and sign up for our free Daily News Update email.

Higher Education News - www.insidehighered.com

Jobs & Careers - careers.insidehighered.com

Industry: Online Audio and Video Media
Company Size: 51-200 employees

Inside Higher Ed

**Position overview ** **Position title: ** Assistant Researcher

**Salary range: ** The UC academic salary scales set the minimum pay determined by rank and step at appointment. See Table 13 for the current salary scale for this position. A reasonable estimate for this position is $93,400 - $122,100.

**Percent time: ** 100%

**Anticipated start: ** July 2026

**Position duration: ** One year with the possibility of an extension depending on performance and continuation of appropriate funding.

**Application Window**

**Open date: **March 9, 2026

**Most recent review date: ** Tuesday, Mar 31, 2026 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

**Final date: **Friday, Apr 10, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

**Position Description**

The Perlmutter Lab at UC Berkeley is seeking applications for an Assistant Researcher that specializes in the analysis of wide-field imaging and spectroscopic data from ground-based (e.g., Subaru/HSC) and space-based observatories (e.g., HST, JWST, and the recently announced Lazuli), as well as the design and planning of related observing programs.

The Assistant Researcher will be charged with performing independent research aimed at improving the precision and accuracy of observational cosmology experiments, namely those that rely on measuring luminosity distance with redshift, and particularly measurements of the expansion rate. The candidate will lead efforts to develop and/or adapt cutting-edge image analysis and statistical techniques for the purpose of improving the precision of such luminosity distance cosmology experiments, with a lean toward space-based datasets.

We expect the candidate to play a leadership role in this research, which is expected to require a small to mid-size research effort involving grad students and/or postdocs, and ideally multiple funding sources. They will present their research at inter/national conferences and publish work in peer-reviewed journals, either as lead author or in a mentorship role to others.

The Assistant Researcher's routes of inquiry would help advance key UC Berkeley cosmology initiatives, in part by bringing together a range of experts who can apply novel advanced statistical techniques not typically deployed in the field.

**Lab Contract **: https://ucnet.universityofcalifornia.edu/resources/employment-policies-contracts/bargaining-units/academic-researchers/contract/

**Qualifications**

**Basic qualifications ** (required at time of application)

Ph.D. or equivalent International Degree.

**Preferred Qualifications**

- At least three years of post-doctoral experience, with a significant amount having been performed independently.

- Expert in observational cosmology, in particular in the measurement of extragalactic distances using, e.g., Type Ia supernovae, Cepheid variable stars, and/or Tip of the Red Giant Branch.

- Expertise with processing and analyzing imaging data from space telescope facilities such as the Hubble and James Webb Space Telescopes.

- Expert in the identification and control of systematic errors in observational cosmology experiments.

- Strong publication record at well-respected journals.

- Experience mentoring students and junior colleagues.

**Application Requirements**

**Document requirements**

- Curriculum Vitae - Your most recently updated C.V.

- Statement of Research

**Reference Requirements**

- 3 required (contact information only)

**Apply link: ** https://aprecruit.berkeley.edu/JPF05300

**Help contact: ** leisa@berkeley.edu

**About UC Berkeley**

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any **final ** administrative or judicial decisions within the last seven years determining that they committed any misconduct.

- “Misconduct” means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.

- UC Sexual Violence and Sexual Harassment Policy

- UC Anti-Discrimination Policy

- APM - 035: Affirmative Action and Nondiscrimination in Employment

**Job location**

Berkeley, CA

**To apply, visit https://aprecruit.berkeley.edu/JPF05300**

Copyright ©2025 Jobelephant.com Inc. All rights reserved.

Posted by the FREE value-added recruitment advertising agency

jeid-c58dfaff265ef643a5bd2ed9f27133e7

Assistant Researcher - Physics Department

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Industry: Technology, Information and Internet
Company Size: 2-10 employees

Stealth Startup

About the Role

We are seeking an exceptional Lead Researcher to lead and scale a world-class AI research organization focused on advancing the state of the art in machine learning, large language models, and applied AI systems. This role is both **strategic and hands-on **, responsible for defining long-term research vision while actively contributing to breakthrough innovations that directly impact product and business outcomes.

As Head of Research, you will build, mentor, and manage a high-caliber team of researchers and research engineers, partner closely with executive leadership, and translate cutting-edge research into scalable, real-world systems.

Key Responsibilities

- Define and own the **research vision and roadmap **, aligned with company strategy and long-term goals

- Lead and grow a team of **AI Researchers, Applied Scientists, and Research Engineers **

- Drive innovation across areas such as:

- Large Language Models (LLMs)

- Reasoning and planning systems

- Representation learning

- Robustness, safety, and evaluation

- Multimodal and agent-based systems

- Balance **long-horizon exploratory research ** with **near-term applied research ** that powers products

- Ensure research excellence through strong scientific rigor, reproducibility, and evaluation standards

- Collaborate with Product, Engineering, and Leadership to transition research into production

- Represent the company externally through publications, conferences, and industry engagement

- Establish best practices for research processes, tooling, and infrastructure

- Mentor senior researchers and develop future research leaders

Required Qualifications

- PhD in Computer Science, Machine Learning, AI, or a closely related field (or equivalent research experience)

- 0-7 years of experience in AI/ML research, with at least several years in a **research role **

- Proven track record of **high-impact research contributions ** (top-tier conferences, journals, or widely adopted systems)

- Deep expertise in modern ML techniques, especially **LLMs, deep learning, and foundation models **

- Experience leading and scaling research teams in industry or advanced research labs

- Strong understanding of the tradeoffs between research innovation and production constraints

- Ability to communicate complex technical ideas clearly to both technical and non-technical stakeholders

Preferred Qualifications

- Experience leading research at a top AI lab, FAANG company, or well-known AI startup

- Publications at leading venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP)

- Experience with model training at scale, including distributed systems and ML infrastructure

- Background in deploying research models into real-world products

- Prior experience influencing company-level technical strategy

What We Offer

- **Base salary up to $500,000 **, plus competitive equity

- Opportunity to shape the future direction of cutting-edge AI research

- Access to significant compute and research resources

- Collaboration with elite engineers, researchers, and product leaders

- A culture that values deep thinking, experimentation, and long-term impact

AI Scientist - LLMs [32826]

**Position overview ** **Position title: ** Assistant Researcher

**Salary range: ** The UC academic salary scales set the minimum pay determined by rank and step at appointment. See Table13 B for the current salary scale(s) for this position. The current base salary range for this position is $93,400 -$122,100. "Off-scale" salaries, which yield compensation that is higher than the published system-wide salary at the designated rank and step, are offered when necessary to meet competitive conditions.

**Percent time: ** 100%

**Review timeline: ** Spring 2026

**Position duration: ** Two years, with the possibility of reappointment based on performance and availability of funding.

**Application Window**

**Open date: **April 7, 2026

**Next review date: ** Tuesday, Apr 21, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

**Final date: **Friday, May 8, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

**Position Description**

The Department of Physics at the University of California, Berkeley seeks applications for an Assistant Researcher to work in the area of particle and nuclear physics.

This position will be in the Weak Interaction group in the Physics Department of UC Berkeley. The group focuses on searches for Lepton Number and Lepton Flavor violating processes with the CUORE and CUPID experiments at Gran Sasso, Italy; the MOLLER experiment at Jefferson Laboratory; and the Mu2e experiment at Fermilab.

The successful candidate will conduct independent research and development of novel instrumentation for particle and nuclear physics experiments. In particular, they will lead the development of state-of-the-art bolometric detectors for the CUPID experiment, including design, organization, deployment, operations, simulations, and data analysis of the detectors at underground laboratories and locally at UC Berkeley. They will also develop new simulation and analysis tools for the searches for lepton number violation with CUORE, CUPID, and related experiments. Prepare high-profile publications and annual reports to the Department of Energy, and assist in developing funding proposals

**Labor Contract **: https://ucnet.universityofcalifornia.edu/resources/employment-policies-contracts/bargaining-units/academic-researchers/contract/

**Department **: https://physics.berkeley.edu/

**Weak Ineraction Grouip **: https://physics.berkeley.edu/research-faculty/nuclear-physics

**Qualifications**

**Basic qualifications ** (required at time of application)

Ph.D. or equivalent international degree.

**Preferred Qualifications**

-  Ph.D. in Physics or Nuclear Engineering, with specialization in particle physics, nuclear physics, or instrumentation development.

-  5 years of experience since Ph.D. in particle and nuclear physics.

-  Expertise with operation of the cryogenic detectors.

-  Experience with the development of the analysis or simulation tools for rare event searches.

-  Demonstrated leadership in producing high profile scientific results.

-  Ability to mentor students.

-  Working knowledge of analysis and simulation tools (ROOT, Geant4).

-  Record of preparing scientific or technical publications in peer-reviewed journals.

**Application Requirements**

**Document requirements**

- Curriculum Vitae - Your most recently updated C.V.

- Cover Letter

- Research Statement - Please discuss research accomplishments and proposed plans. This can include, for example, your publication record, awards, presentations, inclusive research practices that promote the excellence of your research, and areas for future research.

**Reference Requirements**

- 3 required (contact information only)

**Apply link: ** https://aprecruit.berkeley.edu/JPF05296

**Help contact: ** cwelden@berkeley.edu

**About UC Berkeley**

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any **final ** administrative or judicial decisions within the last seven years determining that they committed any misconduct.

- “Misconduct” means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.

- UC Sexual Violence and Sexual Harassment Policy

- UC Anti-Discrimination Policy

- APM - 035: Affirmative Action and Nondiscrimination in Employment

**Job location**

Berkeley, CA

**To apply, visit https://aprecruit.berkeley.edu/JPF05296**

Copyright ©2025 Jobelephant.com Inc. All rights reserved.

Posted by the FREE value-added recruitment advertising agency

jeid-a9d1319e17da444598d5d27b8dacffe2

Assistant Researcher - Department of Physics - University of California, Berkeley

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. AI is an extremely powerful tool that must be created with safety and human needs at its core. OpenAI is dedicated to putting that alignment of interests first — ahead of profit.

To achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. Our investment in diversity, equity, and inclusion is ongoing, executed through a wide range of initiatives, and championed and supported by leadership.

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Industry: Research Services
Company Size: 201-500 employees

OpenAI

**About The Team**

The Safety Systems team is dedicated to ensuring the safety, robustness, and reliability of AI models towards their deployment in the real world.

OpenAI’s charter calls on us to ensure the benefits of AI are distributed widely. Our Health AI team is focused on enabling universal access to high-quality medical information. We work at the intersection of AI safety research and healthcare applications, aiming to create trustworthy AI models that can assist medical professionals and improve patient outcomes.

**About The Role**

We’re seeking strong researchers who are passionate about advancing AI safety and improving global health outcomes. As a Research Scientist, you will contribute to the development of safe and effective AI models for healthcare applications. You will implement practical and general methods to improve the behavior, knowledge, and reasoning of our models in these settings. This will require research into safety and alignment techniques that we aim to generalize towards safe and beneficial AGI.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

**In This Role, You Will**

- Design and apply practical and scalable methods to improve safety and reliability of our models, including RLHF, automated red teaming, scalable oversight, etc.

- Evaluate methods using health-related data, ensuring models provide accurate, reliable, and trustworthy information.

- Build reusable libraries for applying general alignment techniques to our models.

- Proactively understand the safety of our models and systems, identifying areas of risk.

- Work with cross-team stakeholders to integrate methods in core model training and launch safety improvements in OpenAI’s products.

**You Might Thrive In This Role If You**

- Are excited about OpenAI’s mission of ensuring AGI is universally beneficial and are aligned with OpenAI’s charter.

- Demonstrate passion for AI safety and improving global health outcomes.

- Have 4+ years of experience with deep learning research and LLMs, especially practical alignment topics such as RLHF, automated red teaming, scalable oversight, etc.

- Hold a Ph.D. or other degree in computer science, AI, machine learning, or a related field.

- Stay goal-oriented instead of method-oriented, and are not afraid of unglamorous but high-value work when needed.

- Possess experience making practical model improvements for AI model deployment.

- Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done.

- Are a team player who enjoys collaborative work environments.

- Bonus: possess experience in health-related AI research or deployments.

**About OpenAI**

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation Range: $295K - $445K

Researcher, Health AI

**Policy Researcher/Senior Policy Researcher, Green Economy Program (Associate/Full Specialist) - UC Berkeley Labor Center**

**Position overview ** **Position title: ** Policy Researcher/Senior Policy Researcher,

**Salary range: ** The UC academic salary scales set the minimum pay determined by rank and step at appointment. See the following table(s) for the current salary scale(s) for this position: Represented Specialist Series Salary Scale. A reasonable full-time salary estimate for this position is $75,600-$128,400.

**Percent time: ** 100%

**Anticipated start: ** Spring 2026

**Position duration: ** 1 year, with the possibility of extension based on funding and performance

**Application Window**

**Open date: **April 5, 2026

**Next review date: ** Monday, Apr 20, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

**Final date: **Wednesday, Jul 1, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

**Position Description**

**Department Overview**

The UC Berkeley Labor Center, at the Institute for Research on Labor and Employment (IRLE), UC Berkeley, conducts research and education on issues related to labor and employment. The Labor Center's curricula and leadership training serve to educate a diverse new generation of labor leaders. The Labor Center carries out policy-relevant research on topics such as job quality and workforce development and works with unions, policymakers, and other stakeholders to develop innovative policy perspectives and programs. The Labor Center provides an important source of research and information on unions and the changing workforce for students, scholars, policymakers, and the public. This position offers an exciting opportunity to be part of a high-impact, high-visibility organization and to work with a nationally recognized team of researchers, policy analysts, and educators. We have nearly 40 diverse staff members.

**Position Description**

The UC Berkeley Labor Center, at the Institute for Research on Labor and Employment (IRLE), UC Berkeley, has an opening for a Policy Researcher or Senior Policy Researcher in its Green Economy Program, which may be hired at the Associate or Full Specialist rank, depending on years of work experience and educational background.

The Policy Researcher/ Senior Policy Researcher will contribute to the Program's research on workforce standards and strategies related to the energy transition, and worker-led approaches to economic development and industrial policy aimed at building the green economy. The position will involve significant collaboration with unions, environmental organizations, and community-based organizations, and other stakeholders at the state and federal level to advance a worker-led clean energy agenda.

**Responsibilities Include**

- Conduct policy research and analysis, and collaborate on developing new policy models, in the area of workforce standards, economic development, and industrial policy related to the energy transition

- Serve as co-author and/or lead author on policy research reports and briefing memos, and draft op-eds and public testimony

- Contribute to team's work providing technical assistance to stakeholders, policymakers, and media on policy debates surrounding labor and the energy transition

- Support Program Leads with outreach to partner organizations, build and strengthen relationships, and facilitate collaboration

- Work closely with the Program's team in identifying new research projects and opportunities for collaborating with field partners

- Support Program Leads with developing curriculum and delivering trainings for unions, worker advocates, and other stakeholders

- Supervise and mentor student workers

~~Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.~~

**Department **: https://irle.berkeley.edu/

**Unit **: https://laborcenter.berkeley.edu/

**Qualifications**

**Basic qualifications ** (required at time of application)

Bachelor's degree or equivalent international degree

**Additional Qualifications (required At Time Of Start)**

**Associate Specialist**

Bachelor's degree or equivalent international degree and at least five (5) years of professional experience

OR

Master's degree or equivalent international degree and at least three (3) years of professional experience

**Full Specialist**

Bachelor's degree or equivalent international degree and at least ten (10) years of professional experience

OR

Master's degree or equivalent international degree and at least eight (8) years of professional experience

OR

PhD or equivalent international degree and at least two (2) years of professional experience.

**Preferred Qualifications**

- Master's or equivalent international degree with three (3) years experience in analyzing public policies at the federal, state, or local level (can include experience before the degree)

- Experience contributing to research on public policy, including tracking legislation and regulations, analyzing and comparing key concepts, and assessing promising policy models

- Familiarity with labor standards and/or climate and energy policies and/or industrial policy and/or economic development, with an understanding of core issues for workers and unions

- Demonstrated ability to work collaboratively with unions and other stakeholders, such as environmental organizations and industry/employer associations

- Demonstrated facilitation and collaboration skills

- Strong policy writing skills

- Demonstrated experience in managing projects independently, meeting project timelines, managing stakeholder relationships, and working discreetly with confidential information

**Application Requirements**

**Document requirements**

- Curriculum Vitae - Your most recently updated C.V.

- Cover Letter

- Writing Sample #1 - Applied research or policy writing

- Writing Sample #2 - Applied research or policy writing on which you were lead author and/or that focused on climate/energy policies or labor standards (Optional)

**Reference Requirements**

- 3-5 required (contact information only)

**Apply link: ** https://aprecruit.berkeley.edu/JPF05332

**Help contact: ** laurel.lucia@berkeley.edu

**About UC Berkeley**

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any **final ** administrative or judicial decisions within the last seven years determining that they committed any misconduct.

- “Misconduct” means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.

- UC Sexual Violence and Sexual Harassment Policy

- UC Anti-Discrimination Policy

- APM - 035: Affirmative Action and Nondiscrimination in Employment

**Job location**

Berkeley, CA; Eligible for 3 days remote work

**To apply, visit https://aprecruit.berkeley.edu/JPF05332**

Copyright ©2025 Jobelephant.com Inc. All rights reserved.

Posted by the FREE value-added recruitment advertising agency

jeid-855adc46f52cf247a9e8d50d3b60b664

Policy Researcher/Senior Policy Researcher, Green Economy Program (Associate/Full Specialist)

Established in 2002, Cactus Communications (cactusglobal.com) is a leading science communication and technology company. 

It specializes in AI products and solutions that improve how research gets funded, published, communicated, and discovered. Its flagship brand Editage offers a comprehensive suite of researcher solutions, including expert services and cutting-edge AI products like Mind the Graph, Paperpal, and R Discovery. CACTUS also offers medical communications under its brand Cactus Life Sciences. With offices in Princeton, London, Singapore, Beijing, Shanghai, Seoul, Tokyo, and Mumbai and a global workforce of over 3,000 experts, CACTUS is a pioneer in workplace best practices and has been consistently recognized as a great place to work.

Industry: Software Development
Company Size: 1,001-5,000 employees

Cactus Communications

We are currently looking for **researchers, retired researchers, and former researchers ** who can perform peer reviews for journals and publishers.

**Note: ** You should be able to disclose your full name and affiliations with the publishers.

**WHAT YOU NEED to Have:**

- Doctorate (PhD/MD) or equivalent advanced degree in the subject area.

- At least two publications in the last two years in your field.

- Thorough understanding of research methodologies and ethical principles within the relevant discipline.

- Excellent analytical and critical thinking skills.

- Strong written communication skills with the ability to provide clear, concise, and constructive feedback.

- Ability to adhere to deadlines and manage time effectively.

- Commitment to maintaining confidentiality and objectivity.

- Prior experience as a peer reviewer for academic journals is highly desirable.

- Familiarity with online manuscript submission and review systems.

**WHAT YOU WILL DO:**

- Assess Novelty: Assess whether the manuscript is original and adds new knowledge or insights to the field of study.

- Evaluate Study Design and Methodology: Assess whether the study design and methods are appropriate, comprehensive, and clearly described to ensure that the research can be accurately reproduced in the future.

- Literature Review: Check whether the manuscript thoroughly incorporates and cites relevant, up-to-date research in the field.

- Analyse Results and Conclusions: Evaluates whether the results are presented clearly and appropriately, and whether the conclusions are supported by the data and significant to the field.

- Providing Constructive Feedback: Provide constructive feedback, suggesting improvements or highlighting any flaws, omissions, or ethical concerns.

- Recommend Publication: Based on your evaluation, the journal editor will decide whether the manuscript should be accepted, revised, or rejected.

Freelance Peer Reviewer - Coastal and Marine Engineering

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