Technical Product Manager

Develops a product strategy and product vision that delivers value to customers

Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap

Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition

Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability

Set and evolve baselines for Spring Boot 3.x, Spring Cloud, Spring Security, WebFlux vs. MVC, GraphQL schema conventions

Define and govern REST (OpenAPI-first, contract tests, versioning/deprecation SLAs) and GraphQL (SDL-first, schema registry/checks, persisted queries, deprecation policy).

Define SLIs/SLOs and enforce error budgets, timeouts, retries with backoff/jitter, circuit breakers, bulkheads. Observability with OpenTelemetry (traces/metrics/logs), RED/USE dashboards track p95/p99 latency and MTTR. Topic naming/versioning, partition/replica policy, compaction/retention, schema evolution (Avro/Protobuf), idempotency and ordering guidance.

Define Security OAuth2/OIDC, mTLS, JWT claim standards, resolver-level auth for GraphQL secrets management integration.

Prioritize by cost of delay, reliability risk, developer productivity impact, and TCO document ADRs for major choices.

5+ years of experience or equivalent expertise in product management or a relevant domain area

Advanced knowledge of the product development life cycle, design, and data analytics

Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management

Formal training or certification on software engineering concepts and 5+ years of applied experience

Experience in product management or a relevant domain area

5+ years in technical product management or engineering leadership prior Java developer experience

Hands-on experience with: Java 17+, Spring Boot 3.x, Spring Cloud, Spring Security, WebFlux vs. MVC, Resilience4j, Spring Data JPA/R2DBC. Kafka: partitions/consumer groups, compaction/retention, schema evolution, idempotency, lag management. GraphQL: schema design/federation, persisted queries, query limits, N+1 mitigation (DataLoader).

Proven delivery of API/schema governance, versioning/deprecation, and CI policy gates.

Strong SRE practices: SLIs/SLOs, error budgets, OpenTelemetry, data-driven post-incident improvements.

Developer productivity: time-to-first-hello-world, framework adoption, migration cycle time.

Reliability/performance: SLO attainment, p95/p99 latency, error budget burn, Kafka consumer lag, GraphQL query cost/failure rates. Governance: contract test coverage, schema validation pass rate, deprecations completed within SLA

Demonstrated prior experience working in a highly matrixed, complex organization