Solutions Engineer - Real-World Forecasting Solutions

PredictHQ Ltd; New York (NY); Hybrid; USD 140,000 - 160,000; Full time

Benefits offered by this job

Health Insurance

Paid Birthday Leave and Paid Family &

Training & Development

Hybrid work environment

Travel stipend

Job summary

PredictHQ, based in New York, seeks a Solutions Engineer to be the technical linchpin of the Go-To-Market team. You will qualify opportunities, design customer solution architectures, and lead pre- and post-sales efforts to ensure value delivery and scalable activation.

You’ll collaborate with Sales, Product, and Engineering to drive evaluations, architect repeatable solutions, and guide customers toward production with measurable outcomes.

Qualifications

• 3-5 years of industry experience with 1-2 years of experience as a Sales or Solutions Engineer.
• Experience with data science, specifically demand forecasting, time-series modelling or applied analytics
• Broad experience using APIs, building dataframes, and comfort with managing large-scale database integrations (BigQuery, Azure, Snowflake, etc.).
• Experience in Python (and/or other programming languages) to build, execute, and adjust scripts.
• Strong consultative discovery skills, able to go beyond surface requirements, understand how customers work today, and surface opportunities they have not yet identified
• Proven success guiding enterprise customers through pre-sales, implementation and scale
• Experience partnering closely with Sales, Product, Engineering and Data Science to foster cross-functional collaboration
• Outstanding communication skills, able to present to C-suite and technical stakeholders alike, translating technical results into clear business narratives
• Builder mindset, create templates, reference code, and instruments so great work scales.
• Ability to travel and be on site with customers as required (20-30% of your time).

Responsibilities

• Partner with AEs to run deep technical discovery: understand customer goals, data workflows, forecasting processes, and technical maturity
• Uncover use cases beyond what the customer initially presents by learning how they operate today and identifying where our products can add additional value
• Determine product fit and architect scalable, repeatable solutions built with our products
• Own and maintain the Customer Solution Architecture, your blueprint for customer success from discovery to onboarding
• Design and execute technical evaluations via API aligned to defined success criteria
• Interpret evaluation results and present them as a compelling narrative that connects technical performance to business impact.
• Guide customers through next steps, whether that's running a back-test on their side, exploring additional data, or defining a path to production
• Manage evaluations with clear milestones, deliverables, and timelines
• Lead implementation technical kickoff: confirm solution design, timelines, and responsibilities
• Ensure continuity between pre-sales and implementation
• Work alongside customer technical teams to support integration into their existing data workflows and systems
• Validate end-to-end implementation and confirm use case activation is delivering expected value
• Finalize the Customer Solution Architecture with implementation notes and hand off to Account Executives or Managers
• Partner with AEs and Account Managers to support expansion within existing customers, bringing technical depth to growth conversations
• Assess how customers are currently using our data and intelligence, identify underutilized capabilities, and recommend ways to extend into new use cases
• Bring the same consultative discovery rigour to expansion
• Help customers see the full potential of what they already have access to and where additional value can be unlocked
• Serve as the voice of the customer, bringing insights from across the full lifecycle to inform product roadmap
• Translate patterns from onboarding and customer feedback into actionable improvements for GTM processes and technical resources
• Champion simplification and use-case clarity across all technical touchpoints

Skills

APIs

Dataframes

Python

Time-series

Forecasting

Analytics

Communication

Travel

Cross-functional

Sales & GTM collaboration

Tools

BigQuery

Azure

Snowflake

Job description

PredictHQ, based in New York, seeks a Solutions Engineer to be the technical linchpin of the Go-To-Market team. You will qualify opportunities, design customer solution architectures, and lead pre- and post-sales efforts to ensure value delivery and scalable activation.

You’ll collaborate with Sales, Product, and Engineering to drive evaluations, architect repeatable solutions, and guide customers toward production with measurable outcomes.