The Senior Manager, Solutions Engineering will lead a team to deliver client-facing technical solutions, ensuring analytical quality and data reliability while aligning cross-functional priorities for impactful outcomes.
What we’re building and why we’re building it.
Fetch helps people live rewarded every day, with a vision to become the rewards destination for everyone. We turn everyday activities into meaningful rewards, whether it’s grocery shopping, grabbing a quick meal, or playing a favorite mobile game. To date, we’ve awarded more than $1 billion in Fetch Points to our users.
Each day, more than 13 million receipts are submitted on Fetch, providing visibility into over $212 billion in gross merchandise value. This creates the largest retail-agnostic, SKU-level view of household spending, powering Fetch as an outcomes-based advertising platform that helps brands acquire and retain lifelong consumers.
The Fetch app is available on the App Store and Google Play, with more than 6 million five-star reviews from a highly engaged and loyal user base.
It’s not just our users who believe in Fetch: with investments from Softbank, ICONIQ, DST, Greycroft, and partnerships ranging from challenger brands to Fortune 500 companies, Fetch is reshaping how brands and consumers connect in the marketplace. When you work at Fetch, you play a vital role in a platform that drives brand loyalty and creates lifelong consumers with the power of Fetch points. User and partner success are at the heart of everything we do, and we extend that same commitment to our employees.
At Fetch, we value curiosity, adaptability, and the confidence to explore new tools, especially AI, to drive smarter, faster work. You don’t need to be an expert, but you should be ready to learn quickly and think critically. We welcome learners who move fast, challenge the status quo, and shape what’s next, with us. Ranked as one of America’s Best Startup Employers by Forbes for two years in a row, Fetch fosters a people-first culture rooted in trust, accountability, and innovation. We encourage our employees to challenge ideas, think bigger, and always bring the fun to Fetch.
Meet Fetch AI & Data
AI & Data at Fetch sit at the center of how we understand our business, make decisions, and build intelligent products. The organization operates as an integrated AI & data ecosystem, spanning multiple disciplines, including data engineering, analytics engineering, machine learning, experimentation, and data platforms, all working together to turn data into durable business and customer impact.
Teams operate in complex problem spaces where requirements evolve, tradeoffs are constant, and the right answer is rarely obvious. Success depends on strong technical judgment, comfort with ambiguity, and the ability to gather context and make informed decisions while balancing quality, performance, scalability, and responsible use.
Practitioners across this org contribute hands-on to production systems, analytical foundations, and intelligent features. You will collaborate closely with product, platform, and engineering partners, help shape standards and best practices, and ensure our AI and data capabilities scale reliably as Fetch grows.
Fetch is looking for a Director, Solutions Engineering to lead a multidisciplinary domain across Solutions Engineering, Analytics Engineering, and Data Engineering. This leader will own measurable outcomes across client-facing technical delivery, analytics quality, data reliability, product progress, engineering standards, team effectiveness, and business impact.
The Director will define technical and operational direction for a business-critical solution domain, ensuring systems, services, data products, and delivery practices evolve cohesively. This role requires a leader who can translate ambiguous client, product, business, data, and technical needs into clear strategies, scalable solutions, durable operating practices, and measurable outcomes.
The ideal candidate is strong in analytics and data engineering, energized by client-facing work, and experienced in leading through managers, senior individual contributors, and cross-functional stakeholders. They will partner closely with Product, Engineering, Go-to-Market, Client Success, Analytics, and Data teams to align priorities, resolve dependencies, and ensure solutions are client-ready, analytically sound, scalable, reliable, and maintainable.
- Own domain-level outcomes across technical quality, product progress, solution delivery, analytics quality, data reliability, team effectiveness, and business impact.
- Define technical and operational direction for a client-facing solution domain or problem space.
- Translate ambiguous business, client, product, data, and technical problems into clear strategies, roadmaps, system-level decisions, and execution plans.
- Ensure architectural coherence across related systems, services, integrations, data products, analytics workflows, and client-facing solutions.
- Balance near-term delivery with reliability, scalability, developer experience, data quality, technical debt reduction, and long-term maintainability.
- Align stakeholders on priorities, sequencing, ownership, and trade-offs.
- Own the scalability, reliability, data quality, maintainability, and long-term evolution of a business-critical technical domain.
- Guide technical and analytical decisions with long-term implications across multiple systems, teams, or client use cases.
- Raise engineering, analytics, and data standards through design reviews, data quality expectations, system ownership norms, and solution review practices.
- Establish shared patterns, frameworks, quality gates, observability practices, and operating principles that improve leverage across teams.
- Identify and address systemic technical, analytical, data, or platform risks before they impact delivery, client trust, or team productivity.
- Define and drive initiatives that improve system architecture, platform capability, solution scalability, analytics quality, delivery effectiveness, or engineering leverage.
- Convert ambiguous needs into execution plans with clear owners, milestones, decision points, and measurable outcomes.
- Eliminate systemic inefficiencies across teams, including duplicated systems, unclear ownership, inconsistent standards, platform gaps, and recurring delivery friction.
- Drive execution beyond direct reporting lines by aligning dependencies, clarifying decision ownership, and resolving misalignment.
- Use incidents, quality metrics, roadmap progress, client impact, technical health trends, and team health signals to inform prioritization.
- Build operating rhythms that reinforce accountability for outcomes, not activity.
- Lead, coach, and develop managers, Solutions Engineers, Analytics Engineers, Data Engineers, senior ICs, and technical leads.
- Build leadership capability in people management, technical judgment, systems thinking, design quality, and ownership.
- Set consistent expectations for technical rigor, analytical accuracy, delivery accountability, operational excellence, and system ownership.
- Hold leaders accountable for delivery outcomes, technical quality, team health, and sustainable execution.
- Ensure fair and consistent performance management, calibration, feedback, and talent development across teams.
- Proactively address retention risks, disengagement, workload imbalance, unclear ownership, equity gaps, and structural friction.
- Build psychologically safe, inclusive environments that support healthy debate, constructive conflict, and long-term technical thinking.
- Partner with Product, Engineering, Analytics, Data, Go-to-Market, Client Success, and peer leaders to align on goals, dependencies, delivery trade-offs, and client outcomes.
- Influence technical and cross-functional direction by aligning stakeholders on architectural decisions, analytics quality, data reliability, scalability, and maintainability.
- Communicate technical direction, data risks, analytical insights, architectural trade-offs, and delivery implications to technical, non-technical, executive, and client-facing audiences.
- Resolve escalations before they damage trust or slow execution.
- Institutionalize standards, operating principles, decision-making mechanisms, and accountability models that improve consistency across the organization.
- 8+ years of experience in solutions engineering, analytics engineering, data engineering, software engineering, platform engineering, technical implementation, or a related technical discipline.
- 4+ years of technical leadership or people management experience.
- Experience leading managers, technical leads, senior individual contributors, or multiple related technical workstreams.
- Experience owning domain-level outcomes across client-facing technical solutions, analytics deliverables, data products, integrations, platforms, or product engineering areas.
- Proven ability to translate ambiguous business, client, product, data, and technical problems into strategies, roadmaps, execution plans, and measurable outcomes.
- Strong technical judgment across analytics, data modeling, data pipelines, architecture, integration design, scalability, reliability, maintainability, observability, and operational risk.
- Track record of improving technical quality, delivery performance, data reliability, analytical rigor, system ownership, or engineering standards across teams.
- Experience guiding technical or analytical decisions with long-term implications across systems, services, integrations, or data products.
- Demonstrated ability to influence peer leaders, managers, senior ICs, and cross-functional stakeholders without relying solely on authority.
- Strong communication skills with the ability to explain technical, analytical, architectural, and data trade-offs to technical, non-technical, executive, and client-facing audiences.
- Experience managing managers or scaling leadership through managers, technical leads, and senior ICs.
- Experience in client-facing, analytics, data, platform, integration, ad tech, martech, marketplace, consumer product, or high-scale distributed systems environments.
- Experience establishing domain-level technical standards, architectural principles, design review mechanisms, incident practices, system ownership models, or data quality expectations.
- Experience improving engineering or analytics productivity through planning, tooling, automation, quality gates, observability, shared platforms, or developer experience improvements.
- Experience eliminating systemic inefficiencies across teams, such as duplicated systems, unclear ownership, inconsistent implementation patterns, or platform gaps.
- Experience partnering closely with Product, Go-to-Market, Client Success, Sales Engineering, Analytics, Data, Operations, or executive stakeholders.
- Experience leading through ambiguity, organizational change, scaling complexity, or high-pressure client delivery environments.
- Experience building scalable systems for hiring, planning, performance management, calibration, leadership development, or operating rhythms.
- Practical fluency with AI-assisted engineering, analytics, or productivity tools, including judgment around use cases, risks, validation, data accuracy, governance, and team adoption.
Compensation: At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. Discover our benefits and how our employees live rewarded at https://fetch.com/careers.
At Fetch, we'll give you the tools to feel healthy, happy and secure through:
- Equity: We offer full-time employees equity in Fetch, so that everyone can benefit from Fetch’s growth.
- 401k Match: Dollar-for-dollar match up to 4%.
- Benefits for humans and pets: We offer comprehensive medical, dental and vision plans for everyone including your pets.
- Continuing Education: Fetch provides ten thousand per year in education reimbursement.
- Employee Resource Groups: Take part in employee-led groups that are centered around fostering a diverse and inclusive workplace through events, dialogue and advocacy. The ERGs participate in our Inclusion Council with members of executive leadership.
- Paid Time Off: On top of our flexible PTO, Fetch observes 9 paid holidays, as well as our year-end week-long break.
- Robust Leave Policies: 20 weeks of paid parental leave for primary caregivers, 14 weeks for secondary caregivers, and a flexible return to work schedule.
- Calvin Care Cash: Employees who are welcoming new family members will also receive a one time $2,000 incentive to assist employees with covering the cost of childcare, clothing, diapers and much more!
- Flexible Work Environment: Collaborate with your team in one of our stunning offices, or you can work fully remotely from anywhere in the US. We’ll ensure you are equally equipped with the hardware and software you need to get your job done in the comfort of your home. (applicable for most roles)
Fetch is an equal opportunity employer that embraces diversity, inclusion, and respect for all individuals. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, age, national origin, marital status, veteran status, disability, or any other characteristic protected by applicable law. Our commitment to inclusivity ensures that everyone is treated with dignity and has the opportunity to succeed based on their talent, skills, and potential.
Fetch also provides reasonable accommodations to qualified individuals with disabilities or those with sincerely held religious beliefs, as required by law. If you need assistance with the application process or require an accommodation, please contact us at [email protected].
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