Senior Director of Solutions Engineering, Domino Data Lab
$300-350k
OTE
More information about location
Enterprise AI platform
Be an early applicant
Enterprise AI platform
201-500 employees
Be an early applicant
$300-350k
OTE
More information about location
201-500 employees
Company mission
To unleash AI to address the world's most important challenges.
Role
Who you are
- 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 the job involves
- 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
- 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
Our take
Domino Data Lab powers model-driven businesses with its Enterprise MLOps platform. Trusted by over 20% of the Fortune 100, Domino can accelerate the development and deployment of data science work, while simultaneously increasing collaboration and governance.
Using the platform, enterprises can develop better medicines, grow more productive crops, build better cars, and more. In 2022, it released two additional solutions that enable customers to easily run machine learning and data science workloads across hybrid and multi-cloud systems - showing that it can keep pace with the advancing needs of its clientele.
With nearly all multinational organizations set to invest in local data processing infrastructures and mitigation services by he end of 2026, Domino Data Lab is meeting the needs companies face when scaling data science workloads. It is also addressing the "data science talent gap" with its latest release, Domino Code Assist (DCA). This enables business analysts to elevate their work into the data science world and communicate with advanced data scientists in the same languages, without the need for extensive training.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-16% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Oct 2021
$100m
SERIES F
Jun 2020
$43m
LATE VC
Total funding: $226.6m
Company benefits
- Health & wellness: Premium medical, dental, and vision insurance plans, including a free option for you and your family
- Commuter benefits: What’s your transportation of choice? We support your daily commute, whether Uber, Lyft, bus, or train
- Love for parents: New parents receive up to eight weeks of fully paid-parental leave. P.S. Got baby pics? Share them in our Slack channel dedicated to kids
- Flexible paid time off: We value your right to disconnect. Take the time you need to recharge, spend time with family, and explore the world
- Annual education reimbursement: Pursue the professional growth that will help you excel in your role with educational opportunities that work for your needs, and at your speed
- Own your outcome: Feel supported to get your work done how and when you need to, regardless of your location
Company HQ
SoMa, San Francisco, CA
Leadership
Nick Elprin
(Co-Founder & CEO)Graduated from Harvard with a Master's in Computer Science. Previously worked as a Senior Application Technologist at Bridgewater Associates before co-founding Domino Data Lab in 2013.
Christopher Yang
(Co-Founder & CTO)Graduated from MIT with a Master's in Computer Science. Previously worked as a Software Developer at Bridgewater Associates before co-founding Domino Data Lab in 2013.
Thomas Robinson
(COO)Thomas joined Domino in 2016 as CPO, moving into the role of VP of Strategi Partnerships & Corporate Development in 2020 and then into the role of COO in 2022. Previously, he spent 10 years at Bridgewater Associated in various roles, including Director of Engineer and GM of Tech Talent Transformation.
Tom Gleason
(CFO)Prior to joining Domino in 2021, Tom was a VP of Finance & Strategy at Avalara. Before that, he spent 9 years at Tableau Software in various roles, including Director of Financial Planning & Analysis and VP of Finance.
Thomas Been
(CMO)Prior to joining Domino in 2023, Thomas was a CMO at DataStax and Druva. He also spent nearly 15 years at TIBCO Software in various roles, including VP of Product Management and CMO.
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