Kimmo Hintikka

Aampe is an AI personalisation platform using reinforcement learning and multi-armed bandits. 100M+ agents deployed across 3 continents, optimising push notifications, emails, in-app messages, and recommendations. $18M raised. Built on Google Cloud Platform. On the SE side, I cover everything: pre-sales technical discovery, product demos, proof-of-concept builds, integration architecture, post-deployment work, technology partnership scoping, and enterprise security reviews. Day to day, that means writing BigQuery SQL for customer data analyses, building data pipeline integrations (GCS, S3, BigQuery), configuring API connections to CDPs, CRMs, and messaging platforms (Braze, Iterable), and running SOC2 audit reviews. Rolled out recommendation models for Traveloka (APAC) and MyPostCard (EU): custom data pipeline work, schema mapping, and direct collaboration with customer data engineering teams. Taxfix named me specifically in their onboarding feedback. POC integrations are working software. I connect prospect data to our reinforcement learning models so they evaluate on their own data before committing. Opened the first technology partnership discussions at Aampe, scoping integration architectures and turning "we should integrate" into detailed specs.

Amplitude is a behavioural analytics platform for product and growth teams. Enterprise customers across SaaS, fintech, e-commerce, and media, including Klarna and Schibsted. Runs on AWS.

Translated enterprise customer KPIs and product questions into behavioural data collection plans: understanding their product, analytics maturity, and data infrastructure constraints before designing what to track and how.

Built custom integration pipelines and ran programmatic data backfills at scale. Varied data formats, schemas, and API patterns. Debugged data quality at the SQL level, traced events through multi-system architectures. Set up data governance for enterprise accounts: ownership, naming, privacy constraints, schema change management.

Ran training on behavioural analytics methodology, helped PMs and analysts ask better questions.

RudderStack is a warehouse-native customer data platform. Open source. Event streaming, reverse-ETL, ETL-as-a-service, with the data warehouse as a single source of truth. Runs on AWS. Technical pre-sales for enterprise accounts across EMEA: discovery, demos scoped to each prospect's data stack, POC evaluations, and handoff to deployment. Demos covered event streaming and reverse-ETL connecting to data warehouses (BigQuery, Snowflake, Redshift), messaging platforms, CRMs (Salesforce, HubSpot), and analytics tools, built around each prospect's actual architecture. POC evaluations meant data pipeline setup, webhook and REST API integrations, schema and data quality troubleshooting, and documenting results for technical and business stakeholders. Surfaced integration gaps to engineering, scoped technical feasibility, and worked with the product on prioritisation. Also supported post-sales deployment. Warehouse-native CDP implementations need pipeline configuration, testing, and validation across multiple data sources before they're production-ready.

Amplitude is a behavioural analytics platform for product and growth teams. Enterprise customers across SaaS, fintech, e-commerce, and media, including Klarna and Schibsted. Runs on AWS. Translated enterprise customer KPIs and product questions into behavioural data collection plans: understanding their product, analytics maturity, and data infrastructure constraints before designing what to track and how. Built custom integration pipelines and ran programmatic data backfills at scale. Varied data formats, schemas, and API patterns. Debugged data quality at the SQL level, traced events through multi-system architectures. Set up data governance for enterprise accounts: ownership, naming, privacy constraints, schema change management. Ran training on behavioural analytics methodology, helped PMs and analysts ask better questions.