A Tinder/Hinge-like platform that algorithmically matches people looking for cofounders or just exploring ideas for the tech space and beyond.

Backed by exited founders, YC-backed founders, and angel investors from Google, Meta, Quantum Black and more.

Previously a startup community platform with the same name (June 2022 - June 2023) before focusing specifically on the cofounder matching/ idea exploration space.

Industry: Social Networking Platforms
Company Size: 2-10 employees

CoffeeSpace

Savvy Admin PROD

**About the job **

**Job Title: ** Senior Software Engineer

**Salary: ** $170K – $240K + 0 to 0.4% equity

**Location: ** New York, NY (prefer in-person but open to remote within 5 hours of EST, with 3 to 4 week onsite twice per year) | No visa sponsorship

**Company Description: ** Anthropic's announced legal data partner, 10x ARR in 5 months, team of 8, NYC

**Job Description: ** Join a team of 8 that just hit 10x ARR growth in the last 5 months and was publicly announced as Anthropic's legal data partner. This company is building the largest case law dataset in existence and is the only company openly selling US case law data to AI labs and legal tech companies. Their competitors still pay $300 plus per hour lawyers to do by hand what this team is automating with code. 200 plus law firms subscribe to the platform, power users spend 30 plus hours a week on it, and some of the largest legal tech and AI startups are powered by the data on the backend. You will be employee number nine at a company that is already winning the category, with greenfield problems and real technical decisions landing on your desk from week one.

**Why this role is remarkable: **

- Join as employee nine at Anthropic's publicly announced legal data partner, a company that hit 10x ARR in 5 months with a team of 8, at the exact moment demand from AI labs and legal tech is surging and the company has the moat to capture it

- Work on genuinely novel problems that no one has solved before, automating tasks that competitors still pay $300 plus per hour lawyers to do by hand, with the interesting architectural decisions still ahead of you rather than behind you

- Office sits on top of the Supreme Court building in NYC, in-person culture, tight team, high ownership, one month fully remote per year, and a hardworking environment without the burnout-pipeline energy of a typical SF startup

**What you will do: **

- Build pipelines that augment legal documents with metadata including which decisions overrule others, which are appeals or remands, and other relational structures across hundreds of thousands of court decisions, using Python and SQL as the core stack with flexibility on infrastructure

- Build and maintain systems to ensure the reliability and accuracy of hundreds of web scrapers, optimize core utilities that extract and resolve citations and determine court hierarchies, and expose core services via APIs, MCPs, and WebSockets

- Benchmark and evaluate core tasks using both human and synthetic evaluation, contribute to basic to intermediate infrastructure and DevOps work, and bring a cautiously AI-native mindset with active use of modern tooling to everything you build

**The ideal candidate: **

- 2 or more years of experience as a technical generalist across the backend with bonus points for fullstack ability, from a company known for strong engineering culture or an early-stage startup where you had meaningful ownership as a founding engineer, early hire, or greenfield project lead

- Strong engineering fundamentals with stack loyalty being less important than genuine ownership ability, proficiency in Python and SQL, comfort standing up your own projects on your preferred infrastructure end to end, and demonstrated interest in statistics, ML, or AI

- Active GitHub, side projects or unusual pursuits that demonstrate real agency outside of work, not a pure researcher or academic without sustained hands-on engineering, not a business analyst who transferred into engineering, and no history of 6-month job hops or dev agency work

**Next steps: **

- Apply via this LinkedIn job post

- We will review and reach out if there is a strong match

- If aligned, we will introduce you directly to the team

- If this role is not the right fit, we may suggest and make introductions to other high-signal startup roles we are actively recruiting for, always with your permission

**A quick note on authenticity: ** This is a real, active role we are supporting in close partnership with the hiring team. We do not post speculative roles and work closely with teams on their actual hiring needs.

Senior Software Engineer ($170K - $240K + 0 - 0.4% Equity) at Anthropic's Legal Data Partner

**About the job **

**Job Title: **Full Stack Engineer

**Salary: ** $180K – $250K base + $30K – $100K equity + $10K meal stipend + $12K healthcare stipend

**Location: **San Francisco, CA (5 days in-office) | Visa transfers available, no new H1Bs | Relocation support available case by case

**Company Description: ** Accel and DST-backed enterprise AI startup, $6M seed, Fortune 500 customers, SF, team of 10

**Job Description: **

Join a 10-person team building the work intelligence layer for the world's largest companies. This company embeds into the systems and processes Fortune 500 customers already rely on, captures how work actually gets done across desktop and physical environments, and shows where AI and automation can have the highest impact. Customers include globally recognized names across financial services, retail, and insurance, with average deal sizes of $150K ARR on annual commitments only. Backed by Accel and DST straight to institutional with no accelerator, processing over 3TB of inference per week, and moving toward foundational world model research and autonomous agent deployment. As a Full Stack Engineer you will build the API layer, business logic, and frontend that turns one of the richest enterprise datasets on earth into usable software for C-suite and VP-level users. 75% of the work is net new, mostly building not maintaining.

**Why this role is remarkable: **

- Work on a genuinely novel problem space, not an AI notetaker and not a wrapper, but the data layer for the autonomous enterprise, processing over 3TB of inference per week from some of the richest organizational datasets in existence, backed by Accel and DST with Fortune 500 customers already paying $150K ARR annual commitments

- Own the product layer end to end with 75% net new development, sit in on enterprise customer calls 1 to 2 times per week so you always know why you are building what you are building, and contribute directly to product thinking and system design alongside the founders and CTO in a team of 10

- Exceptional comp structure with $180K to $250K base, $30K to $100K in equity at current valuation, a $10K meal stipend, a $12K healthcare stipend, and a paid on-site work trial with flights and hotel covered before you even accept the offer

**What you will do: **

- Build out the API layer, business logic, and frontend to make the core data ontology accessible and useful for enterprise customers, focusing primarily on backend development at roughly 80% with some frontend work at 20%, using TypeScript, NestJS, Postgres, AWS, GCP, and Docker

- Develop new features from scratch at roughly 75% of your time, collaborate directly with the founders and CTO on product thinking and system design, and engage with enterprise customer context by sitting in on calls to understand user needs and business impact at the C-suite and VP level

- Use AI agentic coding tools like Claude Code and Cursor as a core part of your workflow, work with LLM APIs including OpenAI and Anthropic, and bring genuine product thinking to every problem rather than just executing tickets without understanding the why

**The ideal candidate: **

- 3 to 8 years of experience in backend-heavy software engineering, ideally from an early-stage startup between Seed and Series B, with strong TypeScript expertise, hands-on experience with NestJS, Postgres, and cloud infrastructure, and experience working with large complex data models or LLM APIs in production

- A track record of going from 1 to 100, building and scaling systems under real data pressure, with a CS degree or equivalent background, and at least one personal spike whether that is open source work, side projects, competitive sports, research, or founder experience that signals you are the kind of person who builds things outside of work too

- Strong communicator who can translate technical concepts for non-technical stakeholders, genuinely excited to engage with enterprise customers, and not coming from a large consulting background like Infosys, Tata, or Cognizant without evidence of hands-on early-stage product engineering

**Next steps: **

- Apply via this LinkedIn job post

- We will review and reach out if there is a strong match

- If aligned, we will introduce you directly to the team

- If this role is not the right fit, we may suggest and make introductions to other high-signal startup roles we are actively recruiting for, always with your permission

**A quick note on authenticity: ** This is a real, active role we are supporting in close partnership with the hiring team. We do not post speculative roles and work closely with teams on their actual hiring needs.

Full Stack Engineer ($180K - $250K + Equity) — Accel, DST, Fortune 500 customers, team of 10

**About the job **

**Job Title: ** Software Engineer, Backend

**Salary: ** $160K – $200K + competitive equity

**Location: ** Redwood City, CA (3 days in-office for candidates under 7 years experience) | Remote option available for strong candidates with 7 plus years | No visa sponsorship

**Company Description: ** 8VC-backed AI cybersecurity startup, Series A, founding team from Google, Atlassian, Yahoo, and Microsoft, Bay Area

**Job Description: ** Join a 15-person team building security tools that people actually use, not shelfware that gets bought and ignored. This company prevents insider breaches before they happen with agentic AI that works alongside SOC teams, integrating with over 100 enterprise security platforms like Okta, CrowdStrike, and Slack. Series A funded by 8VC with $10M plus raised, a founding team from Google, Atlassian, Yahoo, and Microsoft, and a Go and PostgreSQL stack on GCP with real AI and LLM integration work. They are hiring 2 backend engineers now and plan to double the engineering team by end of year. You will ship weekly, have the option to talk directly with customers, and own significant platform components from day one.

**Why this role is remarkable: **

- Build and own core backend infrastructure at a Series A cybersecurity startup backed by 8VC with a founding team from Google, Atlassian, Yahoo, and Microsoft, integrating with over 100 enterprise security platforms in a space where the problems are genuinely hard and the stakes are real

- Ship weekly in a high-agency environment where you work directly with the co-founders and CTO, talk to customers when you want to, and own meaningful platform components from day one rather than waiting years to see the impact of your work

- Join at the right moment, the team is 15 people and doubling the engineering team this year, meaning the engineers who join now will have disproportionate influence over how the platform gets built and what the culture looks like as it scales

**What you will do: **

- Build and maintain backend systems and integrations that connect the platform to over 100 enterprise security tools, designing and developing core platform components that process large-scale security data including event-driven pipelines using Google Cloud Pub/Sub

- Work on the multi-tenant data layer implementing features like risk scoring, anomaly detection, and time-series aggregation, contributing to infrastructure management on GCP including deployment pipelines, monitoring, and observability across a Go and PostgreSQL stack

- Collaborate with a small tight-knit team to ship features weekly, debug production issues, and bring genuine curiosity and high agency to problems in the cybersecurity space that most engineers never get close to

**The ideal candidate: **

- 5 to 10 years of backend or fullstack engineering experience with a strong interest in transitioning to a backend-heavy role if coming from fullstack, deep hands-on Go experience with concrete production-grade examples you can speak to clearly, and strong programming fundamentals across distributed systems and system design

- Background at an early-stage startup or high-growth environment, ideally with some exposure to the security space through internship or full-time work, and the kind of high-agency self-directed mindset that means you are already solving problems before anyone asks you to

- Based in the SF Bay Area and able to work hybrid in Redwood City at least 3 days a week if under 7 years of experience, not looking for a structured big-company 9 to 5 environment, and genuinely excited about building security tools that actually get used

**Next steps: **

- Apply via this LinkedIn job post

- We will review and reach out if there is a strong match

- If aligned, we will introduce you directly to the team

- If this role is not the right fit, we may suggest and make introductions to other high-signal startup roles we are actively recruiting for, always with your permission

**A quick note on authenticity: ** This is a real, active role we are supporting in close partnership with the hiring team. We do not post speculative roles and work closely with teams on their actual hiring needs.

Software Engineer, Backend ($160K - $200K + Equity) at AI Cybersecurity Startup backed by Google and Atlassian Alumni

**About the job **

**Job Title: ** Account Executive

**Salary: ** $93K – $118K base | $186K – $236K OTE + competitive equity | Uncapped commission

**Location: ** Remote within the US, priority given to candidates in Chicago, Detroit, Miami, Northern California, Houston, Austin, and Atlanta

**Company Description: ** YC-backed AI marketplace startup, Series A, 10x revenue last year, 22 employees

**Job Description: ** Join a 22-person team that is modernizing how America's most essential public safety assets get bought and sold. Think eBay but for specialized government vehicles and equipment, with AI automating everything from appraisals to freight. Backed by Y Combinator, just closed their Series A, and scaled 10x revenue in the last year. Trusted by cities and public safety agencies across America with a customer base that includes fire chiefs and fleet managers who depend on the platform to keep communities running. This is a full-cycle AE role with a 50/50 inbound and outbound split, uncapped commission, and real travel opportunities to meet customers in the field. They are hiring 6 AEs and have already made 2 hires through this search.

**Why this role is remarkable: **

- Join at the Series A of a marketplace that 10x'd revenue last year in a category that is genuinely underserved, selling to a customer base of fire chiefs and fleet managers who have real purchasing authority and real urgency, in a product category where relationships matter more than enterprise sales playbooks

- Uncapped commission with a $186K to $236K OTE and real upside as the team scales, plus travel opportunities to meet customers in person at a company that is actively growing its AE team and has room for strong performers to grow into senior roles

- Work at a mission-driven company where the product directly impacts public safety communities across America, selling something your customers genuinely care about rather than convincing skeptical buyers of a value proposition that does not resonate

**What you will do: **

- Own the full sales cycle from sourcing and discovery through close, balancing a 50/50 split of inbound and outbound motions to build your own pipeline and drive new business across an assigned geographic territory

- Travel to meet customers in person including fire chiefs and fleet managers, building genuine relationship-driven partnerships rather than transactional deals, and representing the company at conferences and in front of public safety buyers who rely on your expertise

- Maintain a highly organized approach using CRM to manage your book of business, collaborate with a low-ego team, and bring competitive energy and a desire to win to a fast-paced environment where ambiguity is normal and ownership is expected

**The ideal candidate: **

- 2 or more years of experience in a full-cycle closing-focused sales role, ideally at an early-stage venture-backed startup, with a track record of hitting or exceeding quota and either progression within your org or clear signals of excellence if you are on the more junior end of the range

- Based in or willing to work from a priority geography including Chicago, Detroit, Miami, Northern California, Houston, Austin, or Atlanta, with a willingness to travel to meet customers in person and ideally some experience selling to government municipalities or public safety agencies

- Competitive spirit, genuine relationship-building instincts, and the kind of startup energy that means you are trying to solve customer problems rather than just booking demos, not a fit if your only experience is at large public companies like Salesforce or SAP with no early-stage exposure

**Next steps: **

- Apply via this LinkedIn job post

- We will review and reach out if there is a strong match

- If aligned, we will introduce you directly to the team

- If this role is not the right fit, we may suggest and make introductions to other high-signal startup roles we are actively recruiting for, always with your permission

**A quick note on authenticity: ** This is a real, active role we are supporting in close partnership with the hiring team. We do not post speculative roles and work closely with teams on their actual hiring needs.

Account Executive, Remote ($93K - $118K base, $186K - $236K OTE) at YC-backed AI Marketplace Startup

**About the job **

**Job Title: **Fullstack Engineer

**Salary: **$185K – $250K + 0.1% – 0.3% equity

**Location: **San Francisco, CA (Monday through Friday in-office)

**Company Description: **Founders Fund-backed applied AI startup, SF, multi-seven figure ARR in under a year

**Job Description: **Join a 12-person team rebuilding the foundation of one of the largest and most broken industries in the world with applied AI. This company hit multi-seven figure ARR and roughly 50% month-over-month growth in under a year, raised a 13x oversubscribed $3.8M seed round from Peter Thiel's Founders Fund, led by the partner who was early at OpenAI and Scale AI, and has capital in the bank with no urgent need to raise. You deploy to production on day one, you create your own specs, and you own your work end-to-end. This is not a role for people looking for a standard 9 to 5.

**Why this role is remarkable: **

- Work on genuinely hard, real-world applied AI problems including multimodal agents and complex document processing in a $280B industry that is broken and ripe for automation, backed by one of the most selective and prestigious venture funds in the world

- Join a talent-dense team where candidates who interview are consistently impressed by the technical bar, with teammates from top quant firms, top competitions, and elite engineering backgrounds who set a high standard every day

- Ship to production on day one with full end-to-end ownership of your features, work directly with enterprise customers, and have a clear path to scale into leadership as the team grows from 12 to the next stage

**What you will do: **

- Build and ship production-grade fullstack features end-to-end across backend Python APIs, databases, and React frontends, taking full ownership of specs and delivery from ideation through customer deployment

- Integrate and scale AI/ML systems in production including LLMs, RAG pipelines, function calling, and multimodal AI, working on the kind of applied problems that most engineers only read about

- Work hands-on with enterprise clients to integrate solutions, iterate quickly on feedback, and deliver measurable business outcomes in a fast-paced environment where 50-plus hours per week is the norm

**The ideal candidate: **

- 1 or more years of professional software engineering experience shipping production-grade code with a strong backend focus and clear signals of technical excellence, whether from a top-tier company, a quant firm, strong academic competitions like IMO, IOI, or ICPC, or published and applied AI work

- Strong backend engineering in Python with experience designing and shipping production APIs and databases, plus familiarity with AI/ML integration in production systems and cloud infrastructure across AWS, GCP, or Azure

- A CS or technical degree from a top program, a high-ownership mindset, and genuine excitement about working in an intense, fast-paced environment where you are expected to figure things out and deliver, not wait for direction

**Next steps **

- Apply via this LinkedIn job post

- We’ll review and reach out if there’s a strong match

- If aligned, we’ll introduce you directly to the team

If this role isn’t the right fit, we may suggest and make introductions to other high-signal startup roles we’re recruiting for – always with your permission.

**A quick note on authenticity **

This is a real, active role we’re supporting in partnership with the hiring team. We don’t post speculative roles and work closely with teams on their actual hiring needs.

Fullstack Engineer ($185K - $250K + 0.1% - 0.3% Equity) at Founders Fund-backed AI Enterprise Startup

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