Senior Director, Solutions Engineering

Posted Yesterday
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Hiring Remotely in East Coast, NZL
Remote or Hybrid
Senior level
Artificial Intelligence • Machine Learning
Unleash data science, one innovation at a time.
The Role
Lead and scale pre-sales/solutions engineering as a function: set qualification and POC standards, coach SEs, enforce deal rigor, partner with sales leadership, recruit and operate pre-sales capacity and cadence for large enterprise AI deals.
Summary Generated by Built In

Who we are

At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility — all of which make data science teams more productive, reduce time to value, and ensure compliance. 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 a decade but are still a small team operating with the spirit of a startup. Especially 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

#LI-Remote

Skills Required

  • 8+ years in enterprise solution-selling pre-sales or sales engineering with direct experience on complex $5M+ deals
  • People leadership experience: built, coached, and managed a technical or pre-sales team
  • Operational builder: define process, enforce standards, and improve pre-sales operations
  • Presence and sales acumen to challenge and align with GVPs and enterprise sellers
  • Technically conversant with AI/ML delivery and MLOps to evaluate architecture and POC designs
  • Sharp, discerning judgment on opportunity quality, technical fit, and deal health
  • Comfortable with travel and heavy customer-facing time
  • East Coast location preferred

What the Team is Saying

Claus Murmann
Melissa Smith

Domino Data Lab Compensation & Benefits Highlights

  • Healthcare Strength Health coverage is positioned as premium, including a $0‑premium option for employees and dependents, with mental‑health coverage and a Calm subscription available. These features point to robust medical, dental, and vision support.
  • Leave & Time Off Breadth Time off and flexibility are emphasized through flexible/unlimited PTO and a remote‑first approach. This setup signals considerable autonomy in managing time away from work.
  • Wellbeing & Lifestyle Benefits Extras such as commuter benefits, a home‑office/equipment stipend, and wellness reimbursements expand everyday support. An EAP and fitness perks further bolster lifestyle and wellbeing offerings.

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The Company
HQ: San Francisco, CA
200 Employees
Year Founded: 2013

What We Do

Domino Data Lab powers model-driven businesses with its leading Enterprise AI platform trusted by over 20% of the Fortune 100. Domino accelerates the development and deployment of data science work while increasing collaboration and governance. With Domino, enterprises worldwide can develop better medicines, grow more productive crops, build better cars, and much more. Founded in 2013, Domino is backed by Coatue Management, Great Hill Partners, Highland Capital, Sequoia Capital and other leading investors. For more information, visit www.domino.ai

Why Work With Us

We’re looking for sharp, scrappy people who crave a high degree of ownership, are laser-focused on personal growth, and can stick the landing between high standards and low ego. In our fast-paced environment, you’ll find all the white space and opportunity you need to thrive.

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Domino Data Lab Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
HQSan Francisco, CA
London, UK
Argentina (Remote Hub)
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