8+ years in enterprise solution selling or sales engineering, especially with complex $5M+ deals.
Proven leadership experience in coaching and managing technical or pre-sales teams.
Skilled in defining and enforcing processes in fast-paced environments.
Ability to engage confidently with high-level stakeholders, such as GVPs and enterprise sellers.
Technical fluency in AI/ML concepts to assess claims effectively, without being the deepest technical expert.
Keen judgment in evaluating opportunity quality and deal health.
Openness to travel and frequent customer interactions; East Coast location preferred.
Responsibilities
Own and standardize the pre-sales function across the team.
Evaluate and ensure quality in the sales process, pushing back when necessary.
Provide direct coaching and specific feedback to the Sales Engineering team.
Assess technical aspects of customer needs and ensure alignment with proposed solutions.
Collaborate with GVPs and account teams to manage high-value enterprise deals effectively.
Establish operating rhythms for pre-sales activities, prioritizing effectively.
Lead recruitment and team building to strengthen the pre-sales organization.
Maintain a discerning judgment on deal quality and time management.
Benefits
Diversity in team culture, encouraging applicants from all backgrounds.
Promotion of a growth mindset and opportunities for personal development.
Encouragement of open communication and authenticity at the workplace.
Commitment to continuous improvement in all practices.
Provision of a supportive learning environment for employees.
Full Job Description
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
About Domino Data Lab
Domino Data Lab is a software company that provides a platform for data science teams to collaborate and build models. The company was founded in 2013 and is headquartered in Oakland, California. Domino Data Lab's platform allows data scientists to work together on projects, share code and data, and track experiments. The company also offers tools for model deployment and management. Domino Data Lab aims to help organizations make better decisions by leveraging the power of data science.
