Machine Learning and AI Opportunities

SharkNinja; Needham (MA); On-site; USD 125,000 - 195,000; Full time

Benefits offered by this job

Medical insurance

401(k) retirement plan with matching

Flexible spending accounts

Generous paid time off

Job summary

SharkNinja is seeking an experienced Product Manager for AI initiatives based in Needham, Massachusetts. The successful candidate will define the AI roadmap and lead cross-functional teams ensuring successful product delivery. Requirements include 5+ years in product management with experience in data or AI features. Salary ranges from $125,000 to $195,000 annually, with benefits including medical, dental, 401(k), and more.

Qualifications

• 5+ years in product management with shipped data or AI features tied to measurable outcomes.
• Experience with AI features evaluation through offline metrics and A/B testing.
• Ability to lead build vs buy decisions with financial models.

Responsibilities

• Define a 3–9-month AI roadmap aligned to company goals.
• Convert strategy into prioritized increments, including PRDs and release plans.
• Own evaluation for AI features through offline tests and A/B testing.
• Define safety and compliance requirements for AI.
• Lead cross-functional teams to ensure delivery and impact.
• Collaborate on aligning standards and governance.

Skills

Product management

AI feature evaluation

Application integration

Communication

Tools

Salesforce Cloud

API management

Job description

About Us

SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja, the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world.

Key Responsibilities

• Product Strategy & Vision: Define a 3–9-month AI roadmap aligned to company strategic goals, with clear problem statements and value hypotheses to maximize value.
• Portfolio & Roadmap: Convert strategy into prioritized increments with PRDs, acceptance criteria, and release plans; keep a transparent backlog.
• Evaluation & Experimentation: Own evaluation for AI features: offline tests, human and automated evals, and online A/B experiments to optimize quality, latency, and cost effectiveness. Publish decision logs for model, prompt, and dataset changes.
• Responsible AI & Guardrails: Define safety, privacy, and compliance requirements; implement guardrails and review rituals with Security and Legal; ensure traceability of data, prompts, and outputs.
• Application Integrations: Define product requirements for API-first and event driven integrations across CRM/ERP/eCommerce and data platforms; align on data contracts, SLAs, auth/PII handling, and system observability with Platform teams.
• Build vs Buy: Lead structured tradeoff analyses (TTV, TCO, vendor lock in, differentiation, compliance). Run proofs of value with vendors when needed and recommend paths forward, highlighting risks and contingency plans.
• Cross‑Functional Leadership: Lead squads spanning ML Engineering, MLOps, Data Engineering, Analytics, and Business stakeholders; keep scope, risks, and dependencies visible.
• Impact Measurement: Define clear KPIs that connect business outcomes to product performance, and provide executives with simple, actionable reporting against those targets.
• Partnerships: Collaborate with Director, ML and AI, Security, Legal, Procurement, and Global Data Product Management (Data and MDM) to align standards, governance, and delivery.

Required Qualifications

• 5+ years in product management with shipped data or AI features tied to measurable outcomes.
• Proven ownership of evaluation and experimentation for AI features (offline metrics, human/auto evals, and A/B testing).
• Handson experiences driving application integrations at enterprise scale (APIled and iPaaS patterns, SLAs, data contracts, identity).
• Demonstrated ability to lead build vs. buy decisions, supported by clear financial models and risk analyses.
• Excellent executive communication and stakeholder leadership.

Preferred Qualifications

• Experience optimizing Amazon sales and ad channels.
• Experience with Salesforce Cloud and CDP integrations.
• Exposure to LLMOps practices (prompt versioning, guardrails, eval frameworks), vector search/RAG, or model observability.

Success Metrics (first 12 months)

• AI roadmap approved and in execution within 90 days. At least two AI product increments shipped with adoption targets met.
• Application integrations delivered on time with measurable data quality and reliability improvements.
• At least two major technology decisions completed with a formal build vs. Buy analysis and exec approval.
• AI initiatives deliver a minimum 5x ROI on Capex investments, contributing directly to revenue growth.

Salary and Other Compensation

The annual salary range for this position is displayed below. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.

Pay Range

$125,000—$195,000 USD

The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, flexible spending accounts, health savings accounts (HSA) with company contribution, 401(k) retirement plan with matching, employee stock purchase program, life insurance, AD&DD, short-term disability insurance, long-term disability insurance, generous paid time off, company holidays, parental leave, identity theft protection, pet insurance, pre-paid legal insurance, back-up child and eldercare days, product discounts, referral bonus program, and more.

EEO Statement

We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, disability, or any other class protected by legislation, and local law. SharkNinja will consider reasonable accommodations consistent with legislation, and local law. If you require a reasonable accommodation to participate in the job application or interview process, please contact SharkNinja People & Culture at [e-mail]