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Forward Deployed Engineer
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Forward Deployed Engineer
I’m working with a VC-backed AI company building products for enterprise financial services clients.
They are looking for Forward Deployed Engineers to work directly with customers and help turn complex, manual finance workflows into AI-enabled products that are used in production.
This is a highly client-facing role. You’ll sit close to users, understand how their workflows actually operate, identify where AI can create value, and work with product and engineering teams to turn those problems into working solutions.
This could suit either a mid-level candidate ready to take ownership of client-facing product delivery, or a senior candidate who can lead complex engagements, influence stakeholders, and help shape product direction.
What you’ll be doing:
- Working directly with financial services clients to understand their workflows
- Running discovery sessions with analysts, investment teams, risk teams, compliance teams, or operations users
- Mapping complex manual processes and identifying opportunities for automation
- Translating ambiguous customer problems into clear product and technical requirements
- Building, prototyping, or shaping AI-enabled workflow solutions
- Partnering closely with product and engineering teams to ship usable features quickly
- Supporting pilots, deployments, adoption, and expansion across client accounts
- Helping turn bespoke customer workflows into repeatable product components
- Measuring success through real usage, adoption, and business impact
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What they’re looking for:
- Experience in a client-facing technical, product, or solutions role
- Strong understanding of B2B SaaS, fintech, enterprise software, AI tooling, or financial services workflows
- Ability to work with senior stakeholders and translate business problems into product opportunities
- Exposure to GenAI, LLMs, AI agents, workflow automation, RAG, or rapid prototyping
- Comfortable working in ambiguity and moving quickly from problem discovery to MVP
- Strong product instincts and a bias toward building practical solutions that users actually adopt
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Relevant backgrounds could include:
- Forward Deployed Engineer
- Solutions Engineer / Solutions Architect
- Product Manager / Product Lead
- Technical Consultant
- AI Product Manager
- Implementation / Professional Services Engineer with product ownership
- Ex-finance, banking, private equity, credit, research, or asset management professional who has moved into product, AI, SaaS, or automation
Financial services experience would be especially useful across:
- Investment research
- Credit analysis
- Private equity or private credit
- Asset management
- Portfolio monitoring
- Risk, ESG, compliance, or regulatory workflows
- Banking or capital markets operations
This is a strong fit for someone who enjoys being close to customers, solving messy workflow problems, and building AI products that create measurable impact.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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