Hi, I'm Kim Beaudin, Development Manager at Jane. For the last year I've been responsible for building the engineering side of Jane's marketing platform from the ground up. Now we're building something new: a small, founding engineering team responsible for Jane's customer data infrastructure.
Jane is used by thousands of clinics and hundreds of thousands of practitioners every day — and we're growing. As we scale, the decisions we're making are getting more complex and higher stakes. Those decisions deserve a data foundation that's built for where we're headed, not just where we've been. We've done a lot with what we have. Smart people across engineering, BI, and marketing have built real value, but we've reached a point where event instrumentation, attribution, and identity resolution need dedicated ownership to take the next step.
This is a new, founding team within our Engineering org. The infrastructure that powers Jane's customer decisions exists today, but it's been built incrementally, across teams, without dedicated ownership. Together, you'll assess what we have, help define where we're headed, and build the systems and standards that get us there. Some of what exists will stay. Some will be replaced. All of it needs a cohesive strategy.
The team owns the collection and delivery layer end-to-end, event pipelines, CDP tooling, and source integrations. Our scope covers schema governance, source management, instrumentation standards and infrastructure, identity resolution, attribution capture, and a lightweight review process before new events ship. You'll help set architectural direction, evaluate current tooling, define our data collection strategy, and build the systems that make it real.
If you've ever wanted to own the engineering foundation that an entire company's customer data insights runs on: assessing what exists, deciding what stays and what goes, and building the event pipelines, schemas, and identity resolution layer from the ground up. This is that opportunity.
Own the how, not just the what: apply strong product sense to set direction, shape standards, and elevate execution.
Build and maintain Jane's customer data infrastructure end-to-end: the systems, pipelines, and source integrations that carry product and marketing events from collection to warehouse. Today there are multiple independently configured sources with different conventions; you'll bring consistency and reliability.
Work directly with marketing, paid media, analytics, marketing operations, BI, and product as primary stakeholders, including on attribution questions, campaign tracking, conversion data, and the integrations that connect our marketing tools to the warehouse. The stakeholder surface is wide and cross-functional, and your ability to build trust across teams matters as much as your technical depth.
Drive tooling strategy for Jane's collection layer, including our CDP, event pipeline, and ingestion infrastructure. We currently run RudderStack and are evaluating the right long-term stack; you'll help determine what that looks like and build toward it while keeping the lights on.
Establish instrumentation standards within engineering, product, and marketing, defining how product and web events are structured, named, versioned, and validated, while ensuring clean handoffs, shared standards, and alignment on what good data looks like at Jane.
Take ownership of identity resolution and attribution at the collection layer. A prospect's journey crosses multiple channels, domains, and touchpoints (including marketing pages, landing pages on third-party platforms, and a separate signup application), and that journey needs to stitch together cleanly so that funnel data is trustworthy and Jane has a reliable picture of what's driving growth.
Navigate the realities of consent-gated instrumentation. Jane operates in healthcare, which means our tracking infrastructure interacts with PHI compliance requirements, consent management, tag management, and third-party marketing tools. You'll design instrumentation that works reliably within those constraints.
A University Degree in Computer Science or a related STEM field plus hands-on experience as a data engineer or similar, including time operating at a staff level or higher — depth and judgment matter more here than a specific number of years. You've built and maintained event collection, customer data infrastructure, or data pipeline systems in production. You've inherited and rationalized independently built pipelines, not just built from scratch.
You're comfortable leading and owning both the strategy as well as the execution: making the architectural calls, being the person other teams and leadership look to for direction on this domain, set standards that teams actually follow. You influence and drive strategy clearly across engineering, product, BI, marketing, and leadership.
Experience evaluating or implementing Customer Data Platforms including migrating or consolidating existing tooling. Greenfield-only experience is not sufficient for this role.
Experience with privacy-compliant tracking and consent management. You've worked with consent management platforms, understand how consent state affects data collection, and have designed instrumentation that holds up within those constraints, ideally including server-side tagging or tag management systems. Experience in healthcare or other regulated environments is a plus.
Strong opinions (loosely held) on schema design, event taxonomy, and data quality. You've seen what happens when instrumentation is an afterthought, and you care about getting it right.
Experience with identity resolution, attribution, or cross-domain tracking. You understand the complexities of stitching a user journey across systems and have ideas about how to make it less hard.
Proficiency in JavaScript or TypeScript and SQL (required). Python is a strong asset. Familiarity with Snowflake, Looker, or similar warehouse and BI tooling is helpful; you won't own that layer, but you'll need a shared vocabulary with the teams that do.
Comfort working with AI tools as part of your day-to-day workflow. We're a team that embraces AI to work smarter, and we expect the same from the people we hire.
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.
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The salary range for the Staff Data Engineer - Customer Signals & Instrumentation position at Jane is USD 152k-238k/yr.
The Staff Data Engineer - Customer Signals & Instrumentation position at Jane is based in Canada. This is an on-site position.
The Staff Data Engineer - Customer Signals & Instrumentation position at Jane is a Full time role.
Key skills for the Staff Data Engineer - Customer Signals & Instrumentation position at Jane include: javascript, typescript, sql, python, snowflake.
Staff Data Engineer - Customer Signals & Instrumentation
Jane · USD 152k-238k/yr · On-site
