CompanyCam is a photo solution that gives you a fully organized photo feed for your business. Now you can see and manage your jobs from anywhere.

CompanyCam was created by contractors for contractors. We know the headache that comes with phone call after phone call trying to nail down plans and keep everyone on the same page. It’s frustrating and time consuming and if we don't have time for it, neither do you. 

That’s why we created CompanyCam. You and your team can take unlimited photos—all of which are location and time-stamped, sent to the cloud, and stored securely—meaning you can access any project, anytime, anywhere. 

You can’t be everywhere at once, but with CompanyCam you can see every photo your team takes the instant it’s taken. Whether you’re in the office, in your truck, or on the toilet—you can know exactly what’s getting done across your company. 


Visit companycam.com for more information and pricing.

Industry: Software Development
Company Size: 201-500 employees

CompanyCam

Savvy Admin PROD

Hi, we're CompanyCam.

We're a simple-to-use photo documentation and productivity app for contractors of all commercial and home services industries. Packed with intuitive functionality, CompanyCam facilitates unparalleled communication and accountability across a contractor's entire business. We're committed to providing a consumer-grade, game-changing experience that helps our users build trust within their company and with their customers.

But don't let that corporate description fool you—the people behind our buttoned-up product are laid-back (but hardworking), genuine, and kickass, and you could be one of them!

The Role

We're looking for a **Manager, Product Analytics & Data Science ** to lead and evolve our Product Analytics and Data Science function into a trusted operating partner for Product and Engineering. Reporting to the CFO, this role leads a team of Product Data Analysts and an embedded Data Scientist while remaining close enough to the work to shape analysis quality, support critical product decisions, and guide practical applications of data science across the product organization.

This role is equal parts people leadership, operating model design, product analytics strategy, and practical data science leadership. You'll help transform the function from a reactive support team into a scalable system for product intelligence — improving experimentation, metric quality, product insights, and decision-making across the business.

You'll partner closely with Product, Engineering, Analytics Engineering, Data Engineering, and ML/AI teams to build durable practices, clarify ownership, and create a more effective support model for product analytics and data science work.

**Location: ** This is a remote position. You must live and work permanently in the U.S. to be considered.

**What You'll Do**

- Lead and develop a team of Product Data Analysts and an embedded Data Scientist through coaching, prioritization, and hands-on analytical leadership

- Establish clear expectations and quality standards for product analytics, experimentation, and data science work

- Build scalable operating processes for intake, prioritization, stakeholder communication, and cross-functional collaboration

- Partner with Product and Engineering leaders to support data-informed product strategy and decision-making

- Help teams connect product behavior to activation, adoption, engagement, retention, and customer value

- Guide experimentation strategy and ensure rigorous A/B testing methodologies and actionable interpretation of results

- Improve product metrics and scorecards that measure product health, workflow usage, launch performance, and customer outcomes

- Enable thoughtful self-service analytics through tools such as Metabase, Amplitude, Secoda, and dbt

- Partner cross-functionally with Analytics Engineering, Data Engineering, Engineering, and ML/AI teams to improve ownership clarity and data quality

- Translate complex analysis and data science work into clear, decision-oriented insights for technical and non-technical stakeholders

- Identify practical, high-impact opportunities for predictive modeling, classification, recommendation systems, and AI-enabled product intelligence

- Help stakeholders distinguish between meaningful data science opportunities and lower-value or overly speculative work

- Contribute directly to high-priority analyses, ambiguous product questions, and strategic initiatives when needed

- Protect the team from low-leverage work while creating space for higher-impact analytical and strategic contributions

**The Impact You'll Have**

~~**At CompanyCam, your work makes a real impact. ** Whether you're writing code, supporting customers, or designing experiences, your contributions directly shape the product we deliver and the people we serve. We're building something that helps real people solve real problems—and we believe that kind of work is best done by a team that reflects the world around us. ~~~~I ~~**n this role, you'll drive impact by:**

- Building a scalable Product Analytics and Data Science function that improves product decision-making across the company

- Helping Product and Engineering teams move faster and make smarter, more customer-centered decisions

- Improving experimentation rigor, product measurement, and visibility into customer behavior and product performance

- Creating practical applications of data science and AI that drive meaningful customer and business outcomes

- Strengthening collaboration and clarity across Product Analytics, Data Engineering, Engineering, and ML/AI teams

**What You'll Bring**

- 5–8 years of experience in product analytics, data analytics, or data science, including at least 2 years in a people leadership or team lead role

- Experience leading analytics or data science work within SaaS or technology environments

- Strong SQL proficiency and experience working with complex data models and analytical workflows

- Experience with experimentation frameworks, A/B testing, and causal inference methodologies

- Working knowledge of machine learning concepts, predictive modeling, and how data science supports product development

- Experience with modern analytics and semantic layer tooling such as dbt, Metabase, Secoda, Looker, or similar platforms

- Strong communication and stakeholder management skills with the ability to simplify complex concepts for varied audiences

- Experience managing cross-functional projects and balancing competing priorities in fast-moving environments

- A continuous growth-mindset, with a focus on learning, embracing challenges, and continuously improving.

- A knack for creativity and innovation, bringing fresh ideas to the table and solving complex problems.

**Benefits & Compensation**

This is a salaried position at CompanyCam. Our starting salary range is **$160,000-$176,000 ** per year and is based on experience. We also offer meaningful equity and other benefits.

~~CompanyCam is an equal-opportunity employer committed to respect, inclusion, and growth. We work hard, take responsibility, and support each other. Great ideas come from all backgrounds, and we carefully consider every applicant without regard to personal characteristics or traits. Even if your work experience doesn't align perfectly, we encourage you to apply. What really matters to us is your potential, your passion, and your commitment to learning, innovation, and contributing meaningfully to our team.~~

For any accommodations or technical issues related to the online application or interview process, please email jobs@companycam.com and we'll respond promptly. Please do not include any medical or health information in your message.

**Note: ** Resumes sent to this email will **not be reviewed or responded to **. To be considered for a position, you must apply directly through our careers page.

Manager, Product Analytics & Data Science

The University of Nebraska-Lincoln is the state’s flagship university and the intellectual center of the state of Nebraska. Like the university’s founders in 1869, students and faculty at Nebraska look challenges and opportunities in the eye, using fresh thinking and creativity to forge new paths.
 
Our state’s expansive geography fosters a closeness and collaboration that makes way for solutions applied at home and around the world. This includes innovative public-private partnerships and a new research campus – Nebraska Innovation Campus – where business partners connect with faculty talent to transform ideas into innovations. 
 
Nebraska continues to grow in size and prominence. It welcomed its largest and most diverse incoming class in 2017 and ranked in the Top 10 of Springer Nature’s international list of Rising Stars in scientific research in 2016. The university has more than 26,000 students and more than 150 undergraduate and 135 graduate degree programs and is ranked as a best-value university by The Princeton Review, and the Fiske Guide to Colleges has repeatedly singled out the university for its academic strength and affordability.
 
A top-tier research institution and member of the Big Ten Academic Alliance, Nebraska is a leader among the Association of Public and Land-grant Universities and is accredited by the Higher Learning Commission of the North Central Association of Colleges and Schools. As a pioneer in teaching and research, Nebraska leads an array of projects aimed at broadening knowledge and bettering lives around the world. In 2017, the Milken Institute ranked the university among the nation’s elite for its ability to drive economic growth by commercializing the work of its faculty.
 
Optimism abounds at Nebraska, creating a spirit that breaks through conventions and tells the world that we are in the middle of everywhere.

Community Guidelines: go.unl.edu/smcg

Industry: Higher Education
Company Size: 5,001-10,000 employees

University of Nebraska-Lincoln

**Working Title ** Scientific Programmer

**Department ** Biochemistry-0831

**Description Of Work**

**As a Scientific Programmer, you will:**

- Develop and extend the core computational infrastructure that underpins a multi-scale immune digital twin ecosystem and platform.

- Collaborate closely with product leadership to translate near-, mid-, and long-term roadmap requirements (3–6 months and 18 months) into clear technical specifications

- Partner with the platform engineering team to implement backend simulation capabilities that enable automated testing, validation, and benchmarking of mechanistic submodels

- Play a key role in enabling seamless integration of the core framework into a broader research and platform environment, ensuring robustness, scalability, and maintainability as the infrastructure evolves to support research, translational, and educational use cases

- Prepare text and images for manuscript and publication submissions.

- Prepare detailed documentation, user guides and training materials for the use of developed simulation tools.

**Note: Sponsorship will not be offered for this position.**

Within the UNL system, this position is categorized as a Programmer.

**About Us**

At the University of Nebraska-Lincoln, we’re proud to be consistently recognized by Forbes as a top employer, known for our welcoming and supportive work environment, commitment to professional growth, and outstanding benefits. UNL isn’t just a workplace, it’s a place to build your career and make a real impact in Nebraska.

When you join our team as a full-time, regular staff member, you’ll enjoy:

-  Ample paid time off, including vacation, sick leave, parental leave, and holidays

-  Comprehensive insurance options including medical, dental, vision, and life insurance

-  Employee & dependent scholarship program to pursue higher education

-  Generous retirement plans with university match

Learn more about working at UNL : **https://go.unl.edu/aboutus**

As an EO employer, the University of Nebraska considers qualified applicants for employment without regard to race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation. See **https://equity.unl.edu/notice-nondiscrimination/**

**Minimum Required Qualifications**

- Bachelor’s degree in computer science, physics or related sciences field plus two years of scientific software development experience.

- Experience with programming in Python, Matlab, or R.

- Experience with designing scientific algorithms.

- Experience with advanced and skilled research procedures, including advanced data collection, analysis, and report writing skills.

**Preferred Qualifications**

The following qualifications are preferred, but not required:

- Experience in technical scientific software development and multiscale biophysics modeling.

**Posted Salary ** $55,450/year minimum

Scientific Programmer

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