Associate Product Manager

About the Role

Were looking for anAssociate Product Manager (APM) to help drive our upcomingAI product from concept to scale. Youll partner closely with design data science/ML engineering GTM and compliance to define requirements measure outcomes and ship features that customers love. This is a hands-on role for a structured thinker whos comfortable with data curious about LLMs and ML systems and motivated to own outcomesnot just output.

What Youll Do

Product Discovery & Strategy

• Map customer jobs-to-be-done pain points and current workflows for our target segments; maintain lean PRDs problem statements and success criteria.
• Translate ambiguous AI opportunities (e.g. improve accuracy reduce hallucinations) into concrete hypotheses experiments and product bets.
• Contribute to product roadmap balancing customer impact technical feasibility and risk (privacy fairness security compliance).

Execution & Delivery

• Write crisp specifications: user stories acceptance criteria data contracts and metrics definitions.
• Partner with DS/ML to definemodel evaluation frameworks (offline & online) human-in-the-loop review needs and telemetry requirements.
• Coordinate sprint planning backlog grooming and release planning with engineering and design.
• Run betas and early-access programs; collect structured feedback and drive issue triage to resolution.

AI/ML Productization

• Define and trackground-truth datasets labelling guidelines and evaluation sets; ensure coverage across edge cases.
• Collaborate onprompt designRAG pipelinesguardrails andfallback strategies (e.g. confidence thresholds deterministic backups).
• Partner with platform/security onPII handlingprivacy-by-designmodel safetybias checks and audit-ability.
• Establish A/B tests and online metrics (quality latency cost per call safety triggers) and own the weekly review.

Go-To-Market & Customer Adoption

• Build enablement with PMM: positioning messaging demos FAQs release notes and ROI calculators.
• Create how to integrate guides and work closely with Solutions/Support to unblock developers during pilots.
• Define pricing/packaging levers with business teams (usage/seat/feature gates) and monitor unit economics (GPU/token costs).

APM Key Responsibilities

• Own parts of the AI product surface (e.g. ingestion > enrichment > reasoning > delivery) and drive OKRs for quality reliability and adoption.
• Maintain a livingmetrics tree from product goals down to model-level KPIs (e.g. answer quality coverage latency cost per 1K tokens guardrail trigger rate).
• Specifyobservability needs: logs traces prompts model versions dataset lineage; ensure versioning and rollback plans exist.
• DefineData & Evaluation Contracts with DS/ML: input schemas edge-case definitions test sets and fail-safe behavior.
• Partner with Design on UX patterns specific to AI uncertainty (confidence indicators user control clarifying questions).
• Document and socializerisk assessments (PII exposure fairness/bias checks jailbreak resistance) with Security/Legal.
• Drivecustomer discovery: 58 conversations per month; synthesize insights into roadmap decisions.
• Support PMM with launch planning pricing experiments and narrative storytelling.

What Youll Bring (Minimum Qualifications)

• 23 years of experience in product management or adjacent roles (founder solutions data/business analyst program management) shipping software.
• Demonstrated experience buildingdata-rich or API-first products developer platforms or analytics/automation tools.
• Comfort working withdata and metrics: writing clear success metrics using dashboards (e.g. Mixpanel/Amplitude/Looker) and making trade-offs based on evidence.
• Working understanding ofLLMs/ML concepts: datasets prompts embeddings RAG evaluation metrics (precision/recall BLEU/ROUGE BERTScore hallucination rate) and cost/latency trade-offs.
• Strong execution skills: turning vague requirements into prioritized backlogs writing high-signal PRDs driving cross-functional alignment.
• Excellent communication with customers and internal stakeholders.

Nice-to-Have

• Hands-on experience with any of: Python/SQL experiment platforms feature stores vector databases observability for ML or model safety/guardrails.
• Experience inprivacy security or regulated environments.
• Exposure toB2B SaaS anddeveloper-facing products.
• Understanding of the creator/data ecosystem workflows and integrations (APIs webhooks OAuth).

Skills & Competencies

• Customer-obsessed: Starts with the problem not the solution.
• Systems thinker: Can reason through data pipelines model constraints and product UX.
• Analytical: Uses data to decide not decorate; comfortable with SQL/basic Python a plus.
• Clear communicator: Writes precise PRDs speaks the language of engineers designers and customers.
• Bias to action: Pragmatic about shipping incremental value while paying down tech and data debt.
• Ethical & privacy-minded: Designs with user consent transparency and safety in mind.

What we offer:

Work from home: Work from home or your preferred location.
Flexible hours: Choose to work in the hours you feel the most productive.
Innovate and Evolve: Were building a high-growth high-autonomy culture. We rely less on job titles and more on cultivating an environment where anyone can contribute the best ideas win and personal growth is driven by expanding impact and less by title.