---
title: 'Senior Director, Solutions Engineering at Domino Data Lab'
canonical: 'https://feeny.ai/job/senior-director-solutions-engineering-domino-data-lab-us-east-coast-831xyqf38xc6'
type: 'job'
last_seen: '2026-09-09'
---

# Senior Director, Solutions Engineering at Domino Data Lab

- **Company:** Domino Data Lab
- **Location:** US East Coast
- **Compensation:** $300k–$350k
- **Work type:** remote
- **Posted:** 2026-08-13
- **Last confirmed live:** 2026-09-09
- **Apply:** https://app.careerpuck.com/job-board/domino-data-lab/job/8121838?gh_jid=8121838

## Job description

## 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

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

## Company Overview
- **One-liner**: Domino Data Lab provides an enterprise AI platform that unifies tools, infrastructure, and governance to help organizations build, scale, and govern AI-powered applications.
- **Entity Type**: Private (Series F)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2013
- **Founders**: Nick Elprin (CEO), Christopher Yang, and Matthew Granade

## Core Business
- **Primary industry**: Enterprise AI / MLOps / Data Science and Machine Learning Platforms
- **Target customers**: B2B, highly regulated enterprises — including 20% of the Fortune 100, such as life sciences, financial services, insurance, and public sector organizations.
- **Mission**: "Unleash AI to address the world’s most important challenges" — helping enterprises accelerate science and research while reducing cost, risk, and complexity.

## Products & Services
- **[Model Factory]**: The core development environment for building AI systems and applications. Supports every method from statistical computing to agentic AI, with any coding assistant, language, or framework. [domino.ai](https://domino.ai/)
- **[Governance Center]**: Govern AI systems and applications to reduce risk and ensure compliance. Defines policies once and enforces them across the entire lifecycle with complete auditability, quality control, and cost visibility. [domino.ai](https://domino.ai/)
- **[App Hub]**: Scale AI-powered applications to thousands of users securely. Delivers governed applications to decision-makers with no rewrites from development to production. [domino.ai](https://domino.ai/)
- **[Agentic AI]**: Design autonomous agents with any framework, deploy them as governed applications, and manage them across their entire lifecycle — all in one platform. [domino.ai](https://domino.ai/)
- **[Coding Assistants]**: Adds traceability, reproducibility, and governance to everything produced by coding assistants. [domino.ai](https://domino.ai/)
- **[Model Risk Management (MRM)]**: A platform for the full model lifecycle, from development through ongoing regulatory compliance, enabling faster model validation with fewer audit findings. [domino.ai](https://domino.ai/)
- **[Document Intelligence]**: Build AI that reads, classifies, and extracts insight from documents at scale, enabling faster decisions from unstructured data at lower cost. [domino.ai](https://domino.ai/)
- **[Statistical Computing Environments (SCE) Solutions]**: A fully reproducible, audit-ready platform for SAS, R, and Python, designed for faster clinical trial submissions with lower compliance risk. [domino.ai](https://domino.ai/)

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: Total Funding — Over $300 million raised (backed by notable investors). The platform is trusted by over 20% of the Fortune 100. [domino.ai](https://domino.ai/company)
- **Notable Investors/Partners**: Coatue Management, Great Hill Partners, Highland Capital, Sequoia Capital, and other leading investors. [builtin.com](https://builtin.com/company/domino-data-lab)
- **Growth Signals**: Named to Inc.’s 2026 Best Workplaces list. Recognized in the 2025 Gartner Magic Quadrant for Data Science and Machine Learning Platforms. Customer wins include the U.S. Navy (75% reduction in model deployment time), Moody's (50%+ reduction in deployment time), and UBS (5-year partnership for model risk management). [domino.ai](https://domino.ai/)

## Competitive Advantages
- **End-to-end, unified platform**: Combines development (Model Factory), governance (Governance Center), and deployment (App Hub) into a single platform — a holistic approach that reduces cost, risk, and complexity.
- **Built for highly regulated enterprises**: Domino's governance-by-default design is purpose-built for industries like finance, life sciences, and defense, where compliance and auditability are non-negotiable.
- **Proven impact at scale**: Customers report a 6x reduction in infrastructure costs, a 50% reduction in end-to-end model lifecycle time, 40% faster model development, and 75% faster model deployment. [domino.ai](https://domino.ai/)
- **Reproducibility by default**: Every experiment, model, and decision is captured automatically, allowing teams to reproduce any result without manual reconstruction — a critical moat in regulated environments.

## Strategic Focus
- **Agentic AI and AI-powered applications**: Domino is heavily investing in enabling agentic AI workflows and the deployment of AI-powered applications at scale, as evidenced by their new "Agentic AI" and "App Hub" product lines.
- **Deepening governance and compliance**: The "Governance Center" and "Model Risk Management" solutions indicate a strategic focus on making compliance a core feature, not an afterthought, for enterprise AI.
- **Industry-specific solutions**: Targeting specific verticals like life sciences (SCE solutions), financial services (MRM), and defense (U.S. Navy collaboration) to create tailored, high-value offerings.

## Why Work Here
- **Impact-driven mission**: Employees work on solving "the world’s most important problems" — from developing new medicines and more efficient crops to building safer defense systems.
- **Flexible work environment**: Domino operates a hybrid workspace with "flexible" on-site time. They have offices in San Francisco, London, and a remote hub in Argentina. The company states: "Feel supported to get your work done how and when you need to, regardless of your location." [builtin.com](https://builtin.com/company/domino-data-lab)
- **Generous benefits**: Premium medical, dental, and vision insurance (with a free option for family), competitive parental leave, flexible paid time off, annual education reimbursement, and commuter benefits. [domino.ai](https://domino.ai/careers)
- **Culture of ownership**: The company values "low ego and a high degree of ownership," seeking "self-starters" who can "own your outcome." [domino.ai](https://domino.ai/careers)
- **Award-winning workplace**: Domino was named to Inc.’s 2026 Best Workplaces list, signaling strong employee satisfaction and culture. [domino.ai](https://domino.ai/company)
- **Global team with 200+ employees**: A growing, mid-sized company where employees can feel the direct impact of their work. [builtin.com](https://builtin.com/company/domino-data-lab)

## Sources
1. [domino.ai](https://domino.ai/)
2. [domino.ai/company](https://domino.ai/company)
3. [domino.ai/careers](https://domino.ai/careers)
4. [builtin.com](https://builtin.com/company/domino-data-lab)
5. [linkedin.com](https://www.linkedin.com/company/domino-data-lab)

## Other roles at Domino Data Lab

- [Technical Cloud Operations Lead](https://feeny.ai/job/technical-cloud-operations-lead-domino-data-lab-argentina-e9eqaetsaezd) — Argentina
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- [Senior Technical Support Engineer](https://feeny.ai/job/senior-technical-support-engineer-domino-data-lab-barcelona-s5hx7cf37rzr) — Barcelona, Spain
- [IT Support Engineer](https://feeny.ai/job/it-support-engineer-domino-data-lab-india-eu-south-sq761rmx3bbg) — India EU South, United States
- [Solutions Engineer, Life Sciences](https://feeny.ai/job/solutions-engineer-life-sciences-domino-data-lab-us-east-coast-z9nrq0vj8pyf) — US East Coast
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