Forward Deployed Engineer
Forward Deployed Software Engineer
Location: New York preferred | London, DC, Denver considered with travel
Work Model: Hybrid with customer site travel between 10% and 33%
About the Role
We are searching for exceptional engineers who want more than just another software job. This role is for builders who thrive on solving unstructured problems, embedding with customers, and delivering solutions that meaningfully transform how large organisations operate.
As a Forward Deployed Software Engineer, you will work directly with executives and operators to understand their most critical objectives, architect and build end-to-end workflows on enterprise data, and deploy production-grade applications that unlock significant operational value. You will not just ship code; you will reshape how organisations work. If you love moving fast, building from scratch, working with real-world data, and owning outcomes end-to-end, this role will be a strong fit.
What You’ll Do
- Work directly with customer stakeholders to uncover high-value problems and define the ideal future state.
- Architect, build, and maintain production-ready applications that operate on large, complex datasets.
- Transform messy, disparate data into intuitive tools and workflows used by operators and executives.
- Iterate rapidly by scoping, developing, deploying, and refining solutions at startup speed.
- Own the full delivery lifecycle including scoping, data integration, analysis, application building, and operationalisation.
- Serve as an embedded technical partner to customer teams, driving real business change.
- Contribute feedback to internal product and engineering teams to help shape scalable, reusable solutions.
- Travel as required, typically between 10% and 33%, for discovery, implementation, and rollout.
What We Look For
- One to five years of experience as a full-stack engineer, data engineer, or deployment or implementation engineer.
- Proven ability to build production-grade software from ambiguous or evolving requirements.
- Strong data reasoning and analytical skills, with confidence working with structured and unstructured data.
- Proficiency in Python and or TypeScript and the ability to learn quickly.
- A track record of high performance and excellence, whether in professional roles, academics, or notable extracurricular achievements.
- Experience in startup-like environments where autonomy, speed, and ownership are expected.
- Ability to work independently, make high-quality decisions, and fully own outcomes.
- Comfort working with non-technical stakeholders and presenting to senior leaders.
- Enthusiasm for hybrid in-person work in New York preferred or willingness to travel regularly to New York if based elsewhere.
Educational Background
- Bachelor’s or Master’s degree in Computer Science and a quantitative major such as Applied Mathematics, Statistics, Chemical Engineering, or a similar field.
Bonus Points
- Experience building production machine learning, LLM, or data science solutions.
- Experience delivering production front-end applications using React.
- Experience with Spark or distributed compute systems.
Who This Role Is Not For
- Engineers who only want to work on deep optimisation or purely technical challenges without customer interaction.
- Individuals who rely heavily on structured environments, rigid processes, or detailed task lists.
- Candidates primarily motivated by titles, prestige, or hierarchical progression.
- Candidates from high-risk or sanctioned countries, including China and Russia, due to project constraints.
Location and Eligibility
- New York is strongly preferred. London, Washington DC, and Denver may be considered for exceptional candidates.
- Non-New York hires must be willing to travel regularly to New York.
- Eligible for OPT and H1B transfers, but new H1B filings are not supported.
Why Join
- Work directly on mission-critical problems for complex global organisations.
- Build solutions that create measurable impact quickly.
- Join a rapidly scaling team with significant growth ahead.
- Experience ownership and autonomy rarely offered in engineering roles.
- See your work translate into tangible operational change in weeks rather than years.
If you want a role where you can build, own, and deliver software that genuinely transforms businesses, this role offers that opportunity.
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