Senior Director, Solutions Engineering

Domino Data Lab · Remote (US East Coast) · $300,000 - $350,000 USD · Posted 2026-08-13

Who we are

At Domino, we build solutions that help the largest, highly regulated organizations adopt AI to accelerate mission-critical use cases. Our platform integrates a streamlined model and app development environment, advanced model, agent, and app hosting capabilities, and novel governance capabilities providing regulator-ready AI at scale. Our customers — like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy — are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for over a decade but are still a small team operating with the spirit of a startup. In the world of AI today, we believe that the future is still being invented — and we want to be the ones building it. For more information, visit www.domino.ai

What we are building

Domino's Solutions team is the customer-facing engine behind how leading enterprises build, scale, and govern AI-powered applications - solving real business challenges, not just deploying technology. Solutions Engineering earns technical credibility before the deal closes. Customer Engineering, where this role lives, owns everything after: adoption, implementation, expansion, and the kind of delivery that makes customers renew and grow. Global Support and SRE keeps it all running at the level enterprise customers depend on. Three functions, one relentless motion, and a team that earns its reputation on what it ships, not what it scopes.

What your impact will be

Own pre-sales as a function, not a set of individual deals: set and enforce the standards for how opportunities get qualified, how POCs get scoped, and how SEs engage — with a single, consistent bar across the team regardless of which GVP or AE is in the room.
Be the check on the sales process: you have the standing and the judgment to push back on a deal, a scope, or a timeline when it doesn't meet the bar — even when that's an uncomfortable conversation with a GVP or a top seller.
Coach and develop the SE team: you sit close enough to the opportunities to give real, specific feedback — on technical approach, on deal strategy, on what a customer actually needs — not just process oversight from a distance.
Bring enough technical fluency to ask the hard question before the customer or the SE gets there: you don't need to build the model, but you need to know when the architecture, the POC design, or the technical claim doesn't hold up.
Partner as a peer with GVPs and account teams: you have the presence and the sales acumen (not just the technical credibility) to shape how a $5M+ enterprise deal is qualified, resourced, and run — and to hold your ground when priorities compete.
Build the operating rhythm for pre-sales: capacity allocation, opportunity prioritization, and the recurring cadence that keeps SE time going to the deals that deserve it — and away from the ones that don't.
Recruit and build the bench: as the team scales, you're identifying gaps, hiring against them, and building a pre-sales org that can hold its own against enterprise competitors.
Be a discerning voice on deal quality: you can tell the difference between a deal worth the team's time and one that isn't, and you say so — with a recommendation, not just a red flag.

What we look for in this role

8+ years in enterprise, solution-selling pre-sales or sales engineering, with direct experience on complex $5M+ deals — you know what real enterprise sales cycles demand.
People leadership experience is required: you've built, coached, and managed a technical or pre-sales team, and you know how to develop talent, not just direct it.
An operational builder at heart: you define process where none exists, hold people to it, and don't let "how we've always done it" survive contact with a better way.
Presence that holds up in the room: you can stand toe-to-toe with a GVP or an enterprise seller and not get steamrolled — this role sets the bar on rigor, and needs someone who can enforce it under pressure.
Technically conversant, not technically deep: you understand what's possible and plausible in AI/ML delivery well enough to be respected by the SE team and to catch a shaky technical claim — you're not expected to be the most technical person in the room.
Sharp, discerning judgment on opportunity quality: qualification, technical fit, and deal health are things you evaluate critically, not rubber-stamp.
No vertical expertise required — your edge is operational and sales rigor, not domain specialization.
Comfortable with travel and heavy customer-facing time; East Coast location preferred.

What we value

We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply
We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
We believe in individuals who seek truth and speak the truth and can be their whole selves at work
We value all of you that believe improving is always possible. At Domino, everything is a work in progress – we can do better at everything
We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company

Visa Sponsorship: Visa sponsorship (including H-1B and other employment-based visa categories) may be available for this position depending on business considerations and the role's requirements. Sponsorship eligibility is assessed on an individual basis and is not guaranteed for any role or candidate. All applicants are encouraged to apply regardless of current or future immigration status.

#LI-Remote

For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.

Total Compensation Range

$300,000—$350,000 USD

About Domino Data Lab

Domino Data Lab provides a platform that utilizes data science and AI for collaboration, model deployment, and centralizing infrastructure.

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Updated 2026-10-10.