Job Specifications
Join the Global Pioneer of Predictive Demand Intelligence
At PredictHQ, we’re redefining how businesses forecast demand by eliminating blind spots caused by unforeseen, event-driven disruptions. As the leader in predictive demand intelligence, our AI-powered platform helps companies master predictability - empowering them to optimize inventory, staffing, pricing, and marketing by understanding not just what events are happening, but why they matter.
From concerts and sports games to unexpected weather events and airport disruptions, we track and forecast the impact of millions of real-world events across the world. Our platform leverages cutting-edge machine learning to create high-quality, forecast-grade data to deliver actionable insights via powerful APIs and an intuitive web app. The result? Businesses can anticipate demand spikes and dips with unmatched accuracy and agility.
Our dynamic models adapt to changing conditions in real time, allowing customers to make smarter, faster decisions. That’s why industry giants like Domino’s, Uber, Expedia, and IHG rely on PredictHQ to stay ahead of demand and turn unpredictability into opportunity.
Founded in 2016 and backed by Lightspeed Venture Partners, Sutter Hill Ventures, and Aspect Ventures, PredictHQ has offices in Auckland and San Francisco.
Our Values
PredictHQ is about teamwork to achieve huge things. We are building innovative and complex products, so our empathetic, hard-working culture is key to our success. We are proactive in helping our teammates grow and thrive in their careers, as well as making sure everyone can put their family and friends first.
Job Purpose
As a Solutions Engineer, you’ll be the technical linchpin of our Go-to-Market team - proving value fast in evaluations, de-risking technical decisions, and converting pilots into scalable, recurring revenue. You’ll architect intelligent, real-world aware solutions that unlock the full potential of PredictHQ, while delivering a consistent, high-quality sales experience and a seamless activation that bridges the pre-sales promise with post-sales reality.
You’ll support both acquisition and expansion, collaborating with Sales, Product, and Engineering to:
Qualify opportunities, define use cases, and shape tailored Customer Solution Architectures
Be the technical lead for customer evaluations and pilots, proving value through measurable outcomes
Own onboarding delivery to ensure seamless implementation and use case activation
Influence product evolution by feeding learnings back into our roadmap
Primary Responsibilities
Evaluation & Solution Design (Pre-Sales)
Partner with AEs to understand customer goals, technical maturity, and use cases
Create and lead technical evaluations (POCs or paid pilots), aligned to defined success criteria
Identify the use case and determine our product fit
Architect scalable, repeatable solutions built with our products
Own and maintain the Customer Solution Architecture - your blueprint for customer success from discovery to onboarding
Onboarding & Activation (Post-Sales)
Lead onboarding technical kickoff: confirm solution design, timelines, and responsibilities
Support product integration, validate end-to-end implementation, and confirm use case activation
Finalize the Customer Solution Architecture with implementation notes and hand off to Account Managers
Expansion & Enablement
Act as a bridge between pre-sales promise and post-sales delivery, ensuring a frictionless experience
Supporting AEs to proactively identify expansion opportunities and embed PredictHQ deeper into customer workflows
Product & Strategy Alignment
Act as the voice of the customer to influence roadmap priorities
Feed onboarding learnings into GTM processes
Champion simplification and use-case clarity across all technical touchpoints
Skills, Knowledge, And Competencies
3-5 years of industry experience with 1-2 years of experience as a Sales or Solutions engineer.
API & data fluency: Comfortable with API-centric/data-pipeline architectures; able to quantify forecasting impact and business value.
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.
Experience in demand forecasting, time-series modelling or applied analytics
Proven success guiding enterprise customers through presales, onboarding and scale
Partner tightly with Sales, Product, Engineering and Data Science to foster cross-functional collaboration
Outstanding communication skills - be able to present to C-suite and technical stakeholders alike with clear storytelling
Builder mindset - create templates, reference code, and instruments so that great work scales.
Ability to travel and be on site with customers as required (20-30% of your time).
General
Applicants for this position must have a valid United States work
About the Company
PredictHQ is the only platform that transforms real-world events into predictive demand signals, enabling businesses to forecast, plan, and act with precision. Built for the AI-native era, PredictHQ powers smarter forecasting, pricing, and operational decisions by providing the most accurate and relevant event data at scale. With 19 event categories, 450+ data sources, and 99% data accuracy, our platform delivers actionable intelligence that helps businesses worldwide adapt to demand shifts, reduce waste, and capitalize on o...
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