Customer Engineer — Rocketlane
About Rocketlane
Rocketlane is a fast-growing SaaS company redefining how professional services teams
deliver customer projects. We recently raised $60M in Series C led by Insight Partners,
bringing total funding to over $105M from investors including 8VC, Matrix Partners, and
Nexus Venture Partners. With Nitro, our agentic execution platform, we've built an
AI-powered engine that configures systems, runs migrations, generates documentation, and
surfaces delivery risks, right inside customer project workflows. We're 200+ people building a
product that services teams love, and we're just getting started.
What will you do?
As a Customer Engineer, you'll be the hands-on technical engine behind how our customers
connect Rocketlane to the rest of their tech stack. Working alongside FDEs, implementation
teams, and Product Managers, you'll spend your time understanding a customer's tools,
platforms, and data, and then building the pipelines and integrations that make everything
talk to each other.
This is a Customer Engineering role where you won't be expected to run enterprise accounts
solo on day one. Instead, you'll join client calls, learn to read a customer's technology
ecosystem quickly, and take ownership of well-scoped engineering work: data models,
integrations, scripts, and connectors. Over time, as your judgment and customer instincts
grow, you'll take on bigger pieces of the deployment and start feeding what you learn in the
field back into the product.
You don't need prior work experience to be great at this role. If your final-year project, a
hackathon build, or a personal side project involved wiring systems together, wrangling
messy data, or building something people actually used — that's exactly the muscle this role
needs. If you love writing code and being close to the customer, and "pure backend
engineer" feels too far from the people using what you build, this role is for you.What you'll be responsible for
Data engineering across the customer's stack
Build and maintain data pipelines and integrations that connect Rocketlane with the
tools our customers already use (CRM, HRMS, ERP, finance tools, data warehouses,
internal APIs).
Model and shape messy, real-world customer data so it's clean and usable in
production.
Write Python scripts and small utilities to move, transform, and validate data between
systems.
Understanding the customer's technology ecosystem
Learn how each customer's platforms, tools, and data fit together, and translate that
into a clear picture the team can build against.
Join technical discovery and working sessions with senior FDEs — listening, asking
sharp questions, and gradually taking on more of the conversation.
Hands-on engineering with AI
Work with LLMs to build customer-specific automations: from simple prompt-driven
scripts to connecting Nitro agents to customer data.
Debug integration and data issues, do root-cause analysis, and ship fixes quickly —
with support from senior team members while you're ramping up.
Contributing back to the product
Surface recurring customer patterns, edge cases, and gaps to Product and
Engineering.
Help build reusable templates, connectors, and internal tooling so each deployment
makes the next one faster.
Must-have skills
0–3 years of software development experience, or strong, demonstrable
project experience (final-year projects, internships, hackathons, or open-source
work) — comfortable writing clean Python.
Solid grasp of data structures, data modeling, and databases — coursework or
project-level SQL and an understanding of how data flows between systems is
enough.
Comfortable reading and working with REST APIs: testing endpoints, understanding
auth, and wiring up integrations — even if this was only done in a class project or
personal build.
Some hands-on exposure to LLMs: prompting, calling model APIs, or building small
AI-powered tools — a weekend project counts.
Genuine interest in the customer side: the confidence to be on client calls, ask good
questions, and explain technical things clearly — think: explaining your project to a
professor outside your specialization, or to judges at a hackathon.
A bias toward action — your project history should show you dug into problems on
your own rather than only completing assigned coursework.
Good-to-have skills
Experience with ETL / data pipeline tools or integration platforms (Make, Workato,
Boomi, or similar) — academic or self-taught exposure counts.
Familiarity with AI-assisted dev tools (Cursor, Claude Code, Replit, etc.).
Exposure to cloud (AWS/GCP), Postman, Docker, or webhooks — free-tier or
personal-project experience is fine.
Any internship, coursework, or project experience in a customer-facing or B2B SaaS
setting.
A GitHub, portfolio, or demo link for your best project — we'd genuinely like to see
what you've built.
You should apply if you
Want to build real things that go live in customer environments in weeks, not
quarters.
Enjoy the mix of writing code and being in the room with customers.
Are early in your career — including brand new to the workforce — but hungry to
grow fast into a full Forward Deployed / Customer Engineer.
Why join us?
Impact and ownership from day one — small team, real problems, your work in
production.
Learn from the best — you'll be mentored by senior FDEs and see how enterprise
deployments actually work.
Front-row seat to the AI era — build with frontier models and deploy real agents
into real businesses.
Best-in-class benefits — comprehensive health coverage, flexible time off, and
support for you and your family.
