Technical Product Manager

As a Technical Product Manager (TPM) in the Platform Engineering team, you will be

responsible for defining, delivering, and scaling the internal data platform capabilities that

power our product and analytics infrastructure. This includes ownership of core platform

capabilities around data ingestion pipelines, scalable storage systems, archival and retention

workflows, lifecycle policies, and export mechanisms. You will work closely with engineering,

infrastructure, compliance, and consuming product teams to ensure that the platform is

robust, scalable, cost-effective, and aligned with business needs.

Key Deliverable

1. sProduct Ownership & Strateg

• yDefine the vision, roadmap, and KPIs for data platform components such as ingestion, storage
• ,archival, and export services
• .Maintain a clear articulation of how platform capabilities serve internal products and enabl
• escale, performance, or cost optimizations
• .Develop a long-term platform evolution plan, identifying areas for abstraction, decoupling, an
• defficiency improvements

1. .Platform Capability Definitio

• nTranslate requirements from internal customers (e.g., product teams, analytics, compliance) int
• oplatform features or capabilities, including
• :o Real-time and batch data ingestion connectors
• .o Multi-tiered storage architecture and capacity planning
• .o Time-bound archival and deletion strategies based on data classification and compliance
• .o Scheduled and on-demand export pipelines (to S3, Redshift, Snowflake, etc.)
• .Define service-level expectations such as latency, throughput, durability, and retention guarantees

1. .Collaboration with Engineerin

• gWork closely with platform engineers and architects to translate product specs int
• otechnically sound solutions
• .Participate in architecture reviews and trade-off discussions related to scalability
• ,availability, performance, and cost
• .Prioritize engineering effort across foundational improvements vs. feature asks fro
• mstakeholders

1. .Data Governance and Lifecycle Managemen

• tDefine and implement policies for data classification, retention, expiration, and archiva
• lacross the platform
• .Ensure lifecycle policies are automated, audit-ready, and aligned with internal governanc
• eand external regulatory requirements
• .Coordinate with legal and compliance teams for ongoing review and audit support

1. .Internal Stakeholder Managemen

• tServe as the single point of contact for product teams who rely on platform data services
• .Create structured onboarding guides, SLAs, and usage documentation for interna
• lconsumers of the platform
• .Maintain a high-feedback loop from consuming teams and translate learnings into backlo
• gitems or roadmap shifts

1. .Cost & Performance Optimizatio

• nTrack data growth trends, storage costs, and ingestion pipeline performance acros
• senvironments
• .Collaborate with the FinOps team to define budgets, set guardrails, and optimize for cost
• -efficiency without degrading service
• .Proactively identify hotspots, cold data opportunities, and compression strategies

1. .Security & Compliance Alignmen

• tEnsure all data pipelines, storage, and exports adhere to enterprise-grade securit
• ypractices, including encryption at rest, access controls, and data masking where required
• .Work with InfoSec to address vulnerabilities, enforce secure data export practices, an
• denable auditing

1. .Technical Communication & Documentatio

• nMaintain detailed internal documentation that outlines platform APIs, schemas, data models
• ,usage guidelines, and integration steps
• .Communicate trade-offs, feature availability, and roadmap decisions clearly across
• atechnical and non-technical audience
• .Represent the platform in internal engineering syncs, architecture forums, and quarterl
• ybusiness review

s

.Tangible Deliverable

sAs a TPM in the platform engineering team, your work results in measurable, reusable

,and scalable assets that accelerate internal development velocity and reduc

eoperational complexity. Key deliverables include

1. :Platform Roadmap and Backlo
2. ga. A continuously evolving 6–12 month roadmap aligned with business priorities
3. ,internal stakeholder needs, and engineering capacity
4. .b. A well-groomed, prioritized backlog with clear technical specs, acceptance criteria
5. ,and linked epics/stories
6. .Product Requirements Documents (PRDs
7. )a. Comprehensive specs for ingestion pipelines, storage tiering, archival policies, an
8. ddata export services
9. .b. Detailed edge-case handling, integration considerations, and non-functiona
10. lrequirements (latency, volume, compliance)
11. .Cost Optimization Playbook
12. sa. Actionable plans and dashboards co-developed with FinOps to monitor storage an
13. dpipeline usage, identify inefficiencies, and initiate cleanup/archive workflows
14. .Service SLAs & Internal Integration Guide
15. sa. SLA definitions for ingestion throughput, data availability, retention windows, an
16. dexport latency
17. .b. Onboarding documentation and how-to guides for integrating with the platfor
18. m(e.g., publishing to ingestion topics, triggering data exports)
19. .Cross-Team Alignment Artifact
20. sa. Quarterly planning inputs, dependency matrices, rollout plans, and status tracker
21. sshared with infra, security, and product leads

.Contribution to Delivery Managemen

tThe TPM plays a key orchestration role in enabling disciplined, transparent, an

ddependable delivery of platform capabilities

1. :Sprint & Release Plannin
2. ga. Breaks down platform epics into iterative deliverables with engineering leads
3. .b. Sets sprint goals aligned with roadmap milestones and available team capacity
4. .Cross-Team Coordinatio
5. na. Manages timelines and dependencies across infra, SRE, data engineering, an
6. dproduct teams
7. .b. Facilitates decision-making on technical trade-offs and scope containment
8. .Risk & Blocker Managemen
9. ta. Identifies architectural or resource-related blockers early
10. .b. Leads mitigation planning and escalation to leadership where needed
11. .Milestone Ownershi
12. pa. Tracks progress across feature phases (design, development, testing, rollout)
13. .b. Owns delivery of pilot rollouts, adoption enablement, and full-scale launches
14. .Quality & Go-Live Readines
15. sa. Partners with QA and SRE to define success criteria for new capabilities
16. .b. Ensures operational readiness with documentation, monitoring, and rollbac
17. kstrategies in place
18. .Metrics-Driven Progress Trackin
19. ga. Defines delivery KPIs (e.g., lead time, backlog burn-down, adoption rate, SL
20. Aadherence)
21. .b. Builds and maintains reporting dashboards for leadership reviews