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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.