- Top 10% of respondersTVADS.ai is in the top 10% of companies in terms of response time to applications
- Responds within two weeksBased on past data, TVADS.ai usually responds to incoming applications within two weeks
- B2B
- +1
Data Product/Analyst
- $100k – $150k • 0.0% – 0.25%
- 5 years of exp
- Full Time
Not Available
In office - WFH flexibility
Mike Chang
About the job
Location: New York, NY / Hybrid
About Us
At TVADS.ai, we are building the industry’s first holistic marketing solution that makes it easy for DTC and e-commerce brands to run performance ad campaigns on Streaming TV - leveraging their best brand, product & social content.
Our AI-driven platform connects the dots between performance TV creative, advanced targeting, and digital measurement to drive real performance for KPIs like website visits and purchases (CPA), as well as lift across existing search, social & other digital marketing channels.
Job Description
We are seeking an experienced Data leader focused on product and analysis to join our innovative team. The ideal candidate will bring a robust background in data analytics and experience or interest in product management, with a proven ability to transform complex data into actionable product insights and strategies. As a Data Product Manager, you will play a crucial role in shaping our data-driven product offerings, working closely with cross-functional teams to define, design, and deliver features that drive significant business impact.
Key Responsibilities
- Product Strategy & Roadmap: Develop and execute the product strategy for our data-driven measurement offerings. Define the vision, strategy, and roadmap, ensuring alignment with company goals and market needs.
- Feature Development: Lead the end-to-end development of data products, from conceptualization to launch. Collaborate with engineering, data science, design teams, and customers to create and refine product features that leverage data insights.
- Customer Collaboration: Engage with early customers and stakeholders to gather feedback, validate product features, and identify opportunities for improvement. Translate customer needs into actionable product requirements.
- Performance Monitoring: Continuously monitor product performance through key metrics and data analysis. Drive iterative improvements to optimize user experience and enhance business outcomes.
- Market Positioning: Work with the business and marketing teams to effectively position our products in the market. Develop go-to-market strategies and support sales efforts to drive adoption and revenue growth.
- Subject Matter Expertise: Act as a subject matter expert on data-driven insights, measurement, and analytics. Stay informed about industry trends and emerging technologies to keep our products at the forefront of the market.
- Communication & Leadership: Present product strategies, features, and performance insights to technical and non-technical stakeholders, including executives. Foster a collaborative and inclusive environment within the product team.
Qualifications
- Experience: Minimum of 5 years of experience in data analytics or product management with a strong focus on data analytics, business intelligence, or a related field. Proven track record of managing and scaling data-centric products.
- Technical Skills: Deep understanding of data analytics, data hygiene, and data engineering principles. Must have experience with SQL and data visualization tools. Experience with big data platforms like BigQuery and Google Cloud Platform is highly desirable.
- Product Management: Strong background in defining product requirements, managing product lifecycles, and executing data-driven strategies. Demonstrated ability to work in a fast-paced, dynamic environment.
- Analytical Skills: Excellent analytical and problem-solving skills with the ability to interpret complex data and derive actionable insights to inform product decisions.
- Communication: Exceptional communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences. Experience in presenting to executives and stakeholders.
- Education: Bachelor’s degree in Computer Science, Management Information Systems, Data Science, or a related technical field, or equivalent practical experience.
Preferred Qualifications
- Real world experience with SQL, BigQuery, Looker, and the Google Cloud Platform.
- Experience with video, streaming, advertising, and real-time advertising exchanges is a plus.
What We Offer
- Competitive salary and benefits package.
- Flexible work hours and remote work options (3 days per week in office).
- Opportunities for professional growth and development.
- A collaborative and inclusive work environment.
- The chance to work on an exciting and innovative startup.
- Work with a seasoned team of serial entrepreneurs.
TVADS.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
About the company
TVADS.ai
- Top 10% of respondersTVADS.ai is in the top 10% of companies in terms of response time to applications
- Responds within two weeksBased on past data, TVADS.ai usually responds to incoming applications within two weeks
- B2B
- Early StageStartup in initial stages