Manager, Solutions Engineering

AI in this role

databricks

About Factory

Our mission is to create a world where software builds and improves itself.

We build the platform for self-improving software development, helping the world's largest enterprise engineering teams turn their organizations into autonomous software factories. Customers including Nvidia, Blackstone, Royal Bank of Canada (RBC), Palo Alto Networks, Adobe, and T-Mobile run Factory to ship code, review PRs, run tests, and deploy continuously - getting smarter with every cycle.

In 2026, we raised $200M at a $5B valuation, bringing our total funding to over $400M. We are backed by world-class investors and operators including Khosla Ventures, Sequoia, Blackstone, Ali Ghodsi (CEO of Databricks), and Frank Slootman (Former CEO of Snowflake).

About the Role

Factory is hiring a Solutions Engineering Manager to build the Mid-Market Solutions Engineering team. Our Mid-Market Solutions Engineers own the full customer lifecycle, pre-sales and post-sales: discovery, demos, proofs of concept, security and architecture reviews, pilot delivery, and the ongoing adoption and expansion of Factory once a customer is live. You will help build out the team, define how it runs, and own both the technical win and the production outcome for our fastest-growing mid-market accounts.

You will hire and coach the people who do this work, set the standard for how it is done, and stay close enough to the accounts to do it yourself when it matters. You will work directly with Mid-Market Sales leadership, and closely with Product and Engineering. This is a hands-on, zero-to-one leadership role at the intersection of Sales, Product, and Engineering. It suits someone who combines real technical fluency, strong people leadership, and sound judgment under deal pressure.

What you will do and achieve

Build the Mid-Market Solutions Engineering team: define the hiring profile, recruit and close the founding Solutions Engineers, and grow the team with the Mid-Market pipeline
Design and iterate the team's operating playbook across the full lifecycle: discovery, pilot scoping, success metrics, security and compliance reviews, production rollout, and ongoing adoption and expansion
Own the team's technical win rate, time-to-technical-win, pilot-to-production conversion, and post-sales adoption and expansion; report them to GTM leadership and use them to coach the team
Partner with Sales leadership and Account Executives to run high-quality technical discovery, demos, and proofs of concept that tie directly to customer outcomes
Carry accounts directly while the team ramps, and serve as the escalation point for complex evaluations, at-risk deployments, and high-stakes mid-market deals, including CTO, VP Engineering, and Security stakeholders
Onboard, coach, and develop Solutions Engineers; set clear expectations, career paths, and performance standards, and shorten ramp time with structured enablement
Act as the voice of the field internally, feeding customer and prospect insight back to Product and Engineering

Qualifications

You do not need to meet every requirement to be a strong candidate. If this role excites you and you have related experience, we encourage you to apply.

2+ years leading Solutions Engineering, Field Engineering, Solutions Architecture, or customer engineering teams in enterprise software, spanning pre-sales and post-sales, including at least one team you built or scaled from a small starting point
A strong hiring track record: you know how to source, assess, and close senior technical customer-facing talent
A strong technical foundation and fluency in modern software development workflows, developer tooling, CI/CD, and AI coding tools
Proven ability to partner with Sales while protecting technical integrity and customer trust
Comfort in high-pressure, customer-facing environments; you can take over a stalled evaluation or a struggling deployment and move it forward
Operational discipline: you track technical win rates and pilot outcomes and run a team on the numbers, not on anecdotes
Executive presence and clear communication with developers, architects, and CTOs alike
A builder mindset: you thrive in a fast-moving startup and create structure where little exists

Nice to have

Hands-on experience with agentic coding tools, LLM-based products, or developer platform sales
Background as a software engineer or in a technical consulting role
Experience standing up a new team or function for a high-growth company

This is an in-office position (5 days/week) in San Francisco. Expect travel to customer sites as needed.

How we rate this

Manager, Solutions Engineering at Factory rates 73 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Databricks

Questions you could be asked

What's a project where you used Databricks hands-on?
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: Databricks. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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