REGISTRIEREN

Jobbörse

Finde Jobs in deiner Nähe – ob vor Ort, hybrid oder remote.
  • Ähnliche Jobs zu: Technical Product Manager - AI & Data Analytics
XX
Technical Product Manager - AI & Data AnalyticsMedium • New York, New York, United States
Jetzt Bewerben
XX

Technical Product Manager - AI & Data Analytics

Medium
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Jetzt Bewerben

Über

We aren’t just looking for someone to manage a backlog; we’re looking for the founding architect of our customer-facing data and AI strategy. As a
Technical Product Manager (Data & AI) , you will sit at the high-impact intersection of cutting-edge Data Science, modern Engineering, and customer-facing value. This is a highly visible, strategic role where you’ll partner directly with executive-level clients to co-develop the predictive models, analytical features, and SaaS data products that will define our industry. If you want to move away from internal tooling and actually ship AI/ML features that drive massive, quantifiable ARR, this is your playground. Shape the AI & Data Vision
Own the Predictive Roadmap:
Drive the vision and strategy for external AI/ML models, advanced analytics features, and data products. Co-Innovate with Clients:
Embed deeply with strategic customers to validate ideas, uncover raw user needs, and co‑develop next‑gen features. Tell the Story of Data:
Partner with UX and Data Science to transform complex backend algorithms into intuitive data visualizations and high‑impact product demos. Execute & Ship with Impact
Translate Complexity:
Act as the bridge that converts messy customer business problems into precise technical specs, transformation logic, and data requirements for engineers and data scientists. Own the GTM:
Collaborate with Product Marketing and Sales to launch features that move key SaaS metrics such as adoption, retention, and ARR expansion. Hypothesize & Validate:
Use analytical skills to dive into data assets, validate assumptions, and prove (or disprove) product hypotheses before coding. Qualifications
3+ years
of relevant experience in Product Management, Data Analytics, or Data Engineering. Strong Business & Product Acumen:
Ability to translate a technical feature into customer ROI. SQL Fluency:
Comfortable writing joins and aggregations to explore data. Data Visualization Skills:
Experience with a modern BI platform such as Sigma, Tableau, or Looker and a sense of clear data presentation. Communication Excellence:
Ability to pitch vision to executives, align sales teams, and discuss data modeling with engineers. Preferred Skills
Experience with Snowflake, DBT, Fivetran, and Sigma. Industry context in complex B2B SaaS verticals such as Field Services or Building Services. Basic coding in Python or R for lightweight data analysis. Exposure to the machine learning lifecycle or productionized models. Compensation
$155,000 - $160,000 a year (base salary; bonus eligible). Benefits
Health, dental, and vision coverage. 401(k) with company match. Flexible time off policy and generous PTO plan. Up to 4 weeks paid bonding leave. Tuition reimbursement. Robust employee assistance program with counseling, financial, legal, and adoption services. 24/7 virtual medical care via Teladoc. Quarterly peer‑recognition awards. Regional discounts and perks. Opportunities for charitable events and community giving. Equal Opportunity Statement
We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, age, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
At WorkWave, we welcome candidates whose past experience does not align perfectly with every qualification. If you could make a great impact in this role, we encourage you to apply.
#J-18808-Ljbffr
  • New York, New York, United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.