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Forward Deployed Engineer

$150,000–$275,000 + equitySan Francisco, CAOn-siteFull-time

Own post-sale technical relationships with financial-services customers, embedding in their workflows to build and operate production integrations, data pipelines, and AI-enabled workflows.

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At a glance

Posted base pay

$150K–$275KAbove the median

Midpoint $213K · median $190K

The work

Builds what the customer runs

Balance Mostly building

Project stages

  1. Pre-sales (not covered)
  2. Proof of concept (not covered)
  3. Implementation
  4. Operations
Coding
Writes production code
Builds for
External customers
Level
Senior
Role
Individual contributor

What they ask for

Experience

  • 2+ yearssoftware engineering or technical customer-facing role
  • 5+ yearssoftware engineering or technical customer-facing rolePreferred

Background

  • Software engineering
  • Solutions and customer engineering

Do you meet what the posting states?

The posting asks for 2+ years. How many do you have?

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The job is in San Francisco, CA. Could you work there?

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Conditions

Location
San Francisco, CA
Work arrangement
On-site
Employment type
Full-time
Pay
Pay details

$150K – $275K • Offers Equity

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The job description from Rowspace

Posted by Rowspace on

The Role

We're looking for Forward Deployed Engineers who thrive at the intersection of deep technical work and customer impact. You'll own the technical customer relationship post-sale, embedding in their workflows, building production-grade, deeply integrated solutions on their data, and driving real, meaningful outcomes.

You'll see how investors actually work up close — their messy data environments, their internal systems, their workarounds — and translate what you learn and build into platform improvements that benefit every customer. You'll have real agency and impact, working directly alongside our founders and engineers to iterate fast and transform how the world’s most sophisticated investors work.

What You'll Do

  • Embed with customers — build custom integrations and pipelines on their data, in their environment, meet regularly to understand evolving needs and identify new opportunities, and scope, redesign, and ship new workflows from the ground up.
  • Troubleshoot and optimize — debug retrieval quality, LLM performance, and data ingestion in live production environments.
  • Partner with AI Deployment Managers to drive adoption and unlock new use cases.
  • Act as the voice of the customer — surface platform gaps and themes before anyone else, and work with engineering and product to identify what should be productized. Often you'll build the fix yourself.
  • Turn what you build for one customer into something that benefits everyone — ship the best integrations and patterns into the platform, and develop playbooks that scale every future engagement.

What You Have

  • 2–5+ years as a software engineer or in a technical customer-facing role (FDE, solutions engineer/architect, implementation engineer) — ideally at a company where you shipped directly to customers.
  • Strong technical foundation — proficient in Python and SQL, comfortable working across the stack and in messy real-world data environments (PDFs, Excel models, inconsistent formats).
  • Familiar with AI/ML concepts — RAG, embeddings, LLMs, retrieval systems. You don't train models, but you debug and optimize them.
  • Customer and outcome-obsessed — you're genuinely curious about how customers' systems work, and you measure success by what changes for them, not by what you shipped.
  • High agency and a builder's mindset — something breaks on-site with a customer, you fix it. You enjoy building solutions and figure things out without waiting to be told what to do.
  • Strong communicator — you translate customer pain into engineering priorities and explain complex systems to non-technical stakeholders.
  • Familiarity with financial services is a plus — you understand how investors use data, what due diligence looks like, and why data accuracy matters.

Perks & Benefits

  • Health & Wellness: Comprehensive medical, dental, and vision insurance
  • Future Planning: 401(k) plan including employer match on contributions made while employed by Rowspace
  • Food & Fuel: Monthly commuter stipend, plus free daily lunch and a fully stocked snack bar in the office
  • Team Culture: Regular team offsites to bond and strategize away from the desk

View posting at Rowspace

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About Rowspace

Rowspace helps financial firms turn fragmented proprietary data and institutional judgment into secure, finance-native AI for investment decisions.

Series A · 10–50 people

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