Lead Data Scientist - Growth

Hi, I'm Vivek, VP of Product Growth at Jane. I'm based in the Bay Area, California, and have been building growth and retention engines at other high-growth tech companies for over 10 years. Over those years, I have led and managed high-functioning growth teams and recently joined Jane to build out Jane's first-ever Growth team, and I'm excited about the impact this team will bring to both our internal teams and customers.

Product Growth at Jane is a team of Product Managers, Data Engineers, Designers, Developers, and Data Scientists. This role reports directly to me as VP of Product Growth, and will be embedded in the growth team as our first dedicated data hire. In practice, I have seen many growth teams treat data science as an afterthought, bolted on after the "EPD" (engineering, product, design) trio is already in place. We're building it the right way: this role completes the Growth Pod quartet (EPDD — Eng, Product, Data and Design) from day one, with a seat at the table in every strategic conversation, not just the ones where results need analyzing.

If you're a builder looking to create high impact, this is for you. Your first task is to connect data systems that have never spoken to each other — usage events, product analytics, GTM data, and financial data — in a way that enables building statistical models, conducting deep analysis, running responsible experiments, and creating dashboards. Beyond the infrastructure, we're looking for someone who treats insight-sharing as a team sport: surfacing what's working, what isn't,) continuously, rather than saving conclusions for the next scheduled readout, and automating the repetitive parts of the job so the whole pod can learn and iterate faster.

• Showing up as a strategic partner, not just an insights function — contributing ideas alongside Product, Design, and Engineering from the start, not only when there's an experiment to analyze

• Building the data infrastructure that connects usage events, product analytics, GTM data and financial data

• Defining and instrumenting the leading indicators and north star metrics for key outcomes like activation and expansion, alongside the product team

• Designing and analyzing experiments across the funnel, including power analysis before tests run, hypotheses building and speaking up early when the sample size won't support a real conclusion

• Building predictive models iteratively

• Owning insights and sharing them widely — proactively surfacing what's working and what isn't, rather than waiting for the next scheduled update, so the whole pod can move on what's learned

• Creating the reporting layer that keeps the team honest about what's actually working, automating wherever possible to free up time for judgment and interpretation over manual reporting

• Bringing AI to push our limits

• Minimum 5 years in a growth analytics role at a high growth tech company

• You've worked with event-level data pipelines and know what good instrumentation looks like

• You can design an experiment properly, including telling the team when the sample size isn't there

• You can run deep analysis to derive meaningful next set of actions for the team

• You can build a predictive model without a dedicated ML team

• You're comfortable working before the infrastructure is ready

If you don’t meet every single qualification but are excited about this role, we’d still love to hear from you.

Jane is a founder-led, high-growth SaaS company born in North Vancouver, British Columbia. We’re now a team of more than 700 people working remotely across Canada, the US, and the UK, united by our mission to help the helpers.

We build the products and tools that thousands of clinics rely on every day to run their businesses, care for their patients, and grow their communities. That level of impact means every person at Jane plays an important role in how we show up for our customers. We’re all responsible for being deeply connected to their needs, obsessed with improving their experience, and proud of the difference our work makes in their day-to-day lives.

Jane is growing fast, and that growth brings exciting challenges that call for adaptability, resilience, learning agility, and humility. We’re proud of what we’ve built and quick to admit what we don’t know yet. We listen, learn, and adjust as we go.

We’re also embracing the possibilities of AI, using it to work smarter, improve our systems, and create even better experiences for our customers and our team.

Our goal isn’t just delivery, it’s delight. We move quickly, communicate openly, and solve real problems together. If you’re energized by ambiguity, motivated by impact, and eager to learn with others, you’ll thrive at Jane.

At Jane, we’re committed to paying fairly, clearly, and above all, paying for growth. This role has an annual salary range of $152,000 to $237,500. While that is a large range, it is intentional. It reflects the full growth journey someone might take in the role, from developing skills early on to becoming highly proficient and ultimately achieving excellence.

Most new hires join at the accomplished stage, which for this role represents an annual salary of $180,500. A starting salary below this typically indicates a candidate with strong potential who is still developing key skills. Salaries above this usually apply to existing team members who have made a significant impact and bring deep Jane-specific knowledge.

We believe in paying for growth. You’ll have regular career development conversations with your manager and your compensation will grow as you gain experience and contribute meaningfully to our mission.

Paying clearly is one of our compensation fundamentals. Watch this short video to learn how our salary bands are set. You’re also encouraged to ask questions about compensation at any point during the interview process.

We also offer a comprehensive benefits package, You can learn more about it here!

Jane takes job scams and candidate fraud seriously. Jane will only contact you from an @jane.app email address. We'll never contact you from a personal email, ask for payment, or request purchases during the hiring process. If something doesn't seem right, please reach out to us at [email protected] before sharing any personal information.