Solutions Engineer
Prolific is not just another player in the AI space—we are the architects of the human data infrastructure reshaping AI development. In a world where foundational AI technologies are increasingly commoditized, it’s the quality and diversity of human-generated data that truly differentiates products and models.
Our Sales and Success team works with most of the world’s leading frontier AI model creators and enterprise organizations on one of their highest priority initiatives: building better, more aligned AI through the power of human feedback.
The Role
As a Solutions Consultant, you will be a trusted advisor and strategic partner across the pre-sales customer journey—from initial discovery through to Closed Won. You will work alongside frontier AI labs and enterprise customers, ensuring they understand and believe in the value of Prolific's human data offerings, and you will be the driving force behind building the trust and momentum needed to win their business.
This role sits at the intersection of sales and technology—owning solution scoping, proposal design, and AE partnership from first discovery through Closed Won, where you will hand off cleanly to our Services and Client Delivery teams. We are seeking a candidate who excels in customer-facing, consultative engagements and thrives in a fast-moving environment. The ideal candidate will be committed to continuous learning, capable of innovative thinking, and skilled at collaborative problem-solving.
This is a hybrid/remote position that requires travel for both team meetings and customer engagements. While we are primarily targeting candidates in San Francisco, New York, or Mexico, we will consider exceptions for highly qualified individuals.
What You’ll Be Doing
Discovery & Qualification
- Conduct deep discovery sessions with AI researchers, technical program managers, and enterprise stakeholders to understand workflows, pain points, and strategic objectives
- Qualify opportunities and partner closely with Account Executives to build shared deal strategies that create customer trust and accelerate deal momentum
Solution Scoping & Proposal Design
- Deliver customized demonstrations and presentations that articulate value and competitive differentiation for both technical and non-technical audiences
- Design tailored, compelling solution proposals that directly address each customer’s unique evaluation or business needs, translating complex requirements into clear, high-impact proposals
- Collaborate with Account Executives and Services teams to build accurate, solution-specific pricing estimates—factoring in variables such as servicing needs, domain expertise requirements, task complexity, and participant time to ensure cost is clearly understood and credibly packaged into the proposal
- Drive the completion of RFPs, RFIs, and security questionnaires in collaboration with legal and engineering teams
Pre-Sales Technical Expertise
- Serve as the primary technical point of contact during the sales cycle, addressing complex questions related to data security, privacy, platform architecture, API integrations, participant quality and solution design.
- Consult on study design, technical setup, and participant calibration. Define success criteria upfront and provide ongoing guidance alongside your services counterparts to ensure pilots are positioned for outcomes that support a confident path to full engagement.
Post-Sales Collaboration & Handoff
- Lead the pre-sales process, partnering as needed with Services and Delivery leads throughout to ensure they are informed and aligned — and own a thorough handoff at Closed Won, documenting requirements, success criteria, and scope commitments clearly
- Remain available to post-sales teams for clarification on what was scoped or sold during early delivery, without ongoing delivery responsibility
- Participate in customer retros and ongoing delivery check-ins to identify gaps between sold and delivered value, feeding insights back into future solutioning
Product & Engineering Collaboration
- Serve as the voice of the customer internally—translating patterns from discovery and competitive conversations into actionable insights that influence product roadmap, solutions design, and integration feasibility discussions with engineering
- Partner with product and engineering to evaluate feasibility of custom integrations and emerging use cases raised during the pre-sales process
Market Awareness & Continuous Learning
- Stay current with developments in AI research, RLHF, synthetic data, and the broader ecosystem—sharing competitive intelligence and market trends with the team to sharpen positioning and inform go-to-market strategy
- Bring a growth mindset to every engagement, continuously building expertise in AI techniques, human feedback methodologies, and customer industry dynamics