Top Tech Jobs & Startup Jobs

Own the product vision for residential energy solutions spanning EVs, batteries, solar, thermostats, and grid load shifting. Translate customer and market insights into rapid prototypes, experiments, and scalable products. Lead small engineering squads, partner with commercial and executive teams, support customer growth, and establish an AI-first product engineering culture using tools such as Claude and Cursor.

Own the end-user product vision for an EV-centric virtual power plant, translating customer and market insights into rapid prototypes, experiments, and production products. Lead small engineering squads, partner with commercial and executive teams, support customer growth, and establish an AI-first product engineering model using tools such as Claude and Cursor.

Design, build, and own scalable data pipelines and warehousing architecture from ingestion through analytics and incentive payouts. Lead data platform architecture, dbt modeling, data quality, lineage, observability, performance, and cost management. Partner with engineers and analysts on telematics accuracy and driver incentive reporting. Use AI coding tools daily to develop and review pipelines, SQL, and data models.

Own significant product areas from customer problem discovery through solution definition, prototyping, shipping, measurement, and iteration. Build AI-powered prototypes and production products using tools such as Claude and Cursor, engage directly with customers and commercial stakeholders, lead small squads, influence product direction, and contribute to an AI-native product engineering culture.

Own significant product areas across discovery, solution definition, shipping, and iteration. Translate customer problems into product concepts, experiments, and scalable bets. Build AI-powered prototypes, engage customers and commercial stakeholders, measure outcomes, and refine products. Lead small squads, influence product direction, collaborate cross-functionally, and promote AI-native product engineering practices.

Design and own scalable data pipelines, warehousing architecture, and dbt transformation layers from ingestion through analytics and incentive payouts. Lead data-platform architecture, including OLake, Iceberg, and Snowflake workflows. Establish performance, cost, quality, lineage, observability, and schema-drift standards. Partner with engineering and analysts on telematics accuracy and driver incentive reporting while using AI coding tools to accelerate development.

Own technical partner relationships and lead complex integrations from requirements discovery through production launch. Coordinate Product, Engineering, Commercial, and Support teams, maintain schedules and critical paths, communicate risks and ROI to leadership, and develop repeatable integration playbooks. Promote platform APIs to partners, define partner-success metrics, and use AI tooling to automate documentation, status synthesis, and program-management workflows.

Own significant product areas from customer problem discovery through delivery, measurement, and iteration. Build AI-powered prototypes and production products, use AI coding tools daily, and engage directly with customers and commercial stakeholders. Lead small squads, influence product direction, communicate across technical and business teams, and contribute to an AI-native product engineering culture. The role is fully remote in the UK and focuses on EV energy, virtual power plants, and grid services.

Own a portfolio of technical partner relationships and lead complex integrations from requirements discovery through production launch. Coordinate Product, Engineering, Commercial, and Support teams, communicate program status and risks to leadership, promote platform APIs, define partner-success metrics, and create repeatable integration playbooks. Use AI tooling to automate documentation, status synthesis, and program-management workflows.

Design, build, and own scalable data pipelines from ingestion through analytics and incentive payouts. Lead data platform architecture, including Snowflake, dbt, Iceberg, and S3 workflows. Establish data quality, lineage, observability, performance, cost, and SLA standards. Partner with engineering and analysts to support telematics accuracy and driver incentive reporting. Develop maintainable data models and transformation layers while using AI coding tools to improve development speed and quality.