Solutions Engineer

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 visa.
• Ensure that all activities are conducted in accordance with internal policies and procedures, applicable legislation, rules, and standards, including relevant Acts, Advertising Standards Authority rules and regulations, and industry body requirements.

Benefits 💛

• Health care and benefits administered by Sequoia One
• Flexible time off policy
• 10 weeks of fully paid parental leave
• Paid Birthday Leave
• Paid Family and Friends Day Leave
• Strong focus on your training and development
• Options in a fast-growing company in its early stages