Senior Product Manager, Treasure Data
Machine Learning
$158.8-192.4k
+ Restricted Stock Units
More information about location
3 days a week in office (Mountain View, CA)
Enterprise customer data platform
Job no longer available
Enterprise customer data platform
501-1000 employees
Job no longer available
$158.8-192.4k
+ Restricted Stock Units
More information about location
3 days a week in office (Mountain View, CA)
501-1000 employees
Company mission
To radically simplify customer data management to help companies drive business value with connected customer experiences.
Role
Who you are
- You are highly technical and customer facing. You interface well with engineers, designers, sales people, customers, and executives
- You have a strong technical background in Machine Learning and were born to lead and influence others.
- Education - A degree in Engineering, Computer Science, Machine Learning, or a related field. An MBA and advanced degrees are a plus
- Experience - 5+ years of product management
- Machine Learning for Marketing - Strong understanding of how Data & Marketing Ops teams at Global 2000 companies deliver value and how Machine Learning technology supports that goal. Experience with ML as it applies to marketing use cases including some of the following: Recommender Systems, Next Best Action, Multi-Touch Attribution, Customer Lifetime Value Calculation and Personalization
- Building ML Products - Proven experience with enterprise SaaS ML products including developing solutions from 0-1 and bringing new products to market
- Domain Knowledge - Organization & Communication - Strong organizational, written, and oral communication skills in English, and ability to communicate with people with different points of view presenting to executive leadership and handling sensitive customer situations
- Leadership - Proven ability to set a vision, translate the vision into a roadmap, and excite/lead a cross-functional engineering, UX, Product Marketing, partner and sales team to bring the product to market
- Self-Driver - Proven ability to deliver on commitments and lead / work autonomously and globally
- Prioritization - Ability to handle multiple competing priorities in a fast-paced environment and managing nuanced tradeoffs
- Creative & Analytical Problem Solving - Creative thinker who thrives on solving challenging problems with analytical thinking, and is focused on adding customer value and ROI
- Technical Fluency - Good understanding of technology with the ability to hold your own in debates with technical architects and engineers
What the job involves
- Treasure Data is seeking a Senior Product Manager with a strong background in Machine Learning in the Marketing domain to lead some of our key Machine Learning initiatives
- We are looking for an entrepreneurial, “drive the bus” leader to take on this role and develop and deliver 0-1 products to market, leading to ROI for our company and customers
- Your experience focuses on how data can be utilized to empower humans to deliver better customer experiences
- You will drive product strategy and execution, overseeing ideation, planning, development, launch, and maintenance across the Machine Learning portfolio
- You will contribute to the overall platform strategy and roadmap development to ensure business objectives are met
- Strategy and Vision:
- Define the long-term vision and strategy for the machine learning capabilities of the Treasure Data Customer Data Platform
- Collaborate with the Product Management executives to align the product strategy with the company's overall business goals and objectives
- Roadmap Planning:
- Develop a comprehensive and prioritized roadmap based on use cases from customer feedback, marketing research and data analysis for some of our machine learning products and features
- Work closely with a cross-functional team, including engineering, design, and marketing to ensure alignment and successful execution of the roadmap
- Feature Development:
- Lead the end-to-end product development lifecycle for machine learning products and features, from ideation to launch
- Collaborate with engineering and data science teams to define technical requirements and design scalable and robust solutions
- Work closely with cross-functional teams, including engineering, UX/UI design, and marketing, to deliver high-quality products that exceed customer expectations
- Customer Insights and Feedback:
- Conduct customer interviews, gather feedback, and deeply understand customer pain points to inform feature development and improve user experience
- Advocate for customer needs throughout the product development process, ensuring that the solutions align with customer expectations
- Data Governance, Privacy, and Security:
- Collaborate with the data privacy and security teams to ensure that machine learning products and features adhere to data governance, privacy and compliance standards
- Go-to-Market Alignment:
- Collaborate with the product marketing and sales teams to develop compelling product messaging, positioning, and go-to-market strategies for machine learning products and features
- Support the sales team in customer engagements, providing technical expertise and product knowledge as needed
- Represent Treasure Data as a domain and product expert at customer interactions, industry and corporate events, online in customer communities, GTM and partner trainings and enablements, and through social networking
- Product Performance and Success:
- Define key performance indicators (KPIs) to measure the success and effectiveness of machine learning products and features
- Regularly analyze and report on the performance of these products and features, identifying areas for improvement and optimization
Our take
Treasure Data’s Customer Data Cloud solution is a flexible, scalable, and secure customer data platform that provides companies with a comprehensive view of their customers’ needs. Its suite of customer data solutions enables companies to optimize their marketing, service, sales, and operational strategies to drive personalized engagement and improve customer acquisition, sales, and retention.
The company is used by hundreds of Fortune 500 and Global 2000 companies, including LG, Fijitsu, Mattel Barbie, and Subaru, and has made numerous strategic partnerships with the likes of Permission.io, Versium, ADA, Sinch, and more. Through these partnerships, Treasure Data has expanded its overall capabilities, customer base, and market reach.
Treasure Data has remained focused on global expansion, development, and furthering its suite of innovative customer data solutions and was named as a "strong performer in customer analytics" by Forrester Research in 20222. By enabling enterprises and fast-growing companies to provide personalized, quality customer experiences across the web, Treasure Data is set to lead businesses into the customer-centric digital age.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-10% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Nov 2021
$234m
GROWTH EQUITY VC
Nov 2016
$25m
SERIES C
Total funding: $288.1m
Company benefits
- Medical/Dental/Vision Plans & Employee Assistance Program (EAP)
- Company Paid Life Insurance (3x Salary)
- Company Paid Short- and Long-Term Disability Coverage
- 401K with Company Match
- Restricted Stock Units (RSU), fully vested after 2 years
- Paid Vacation & Sick Time
- Paid Volunteer & Mental Health Days
- Up to 26 weeks Paid Parental Leave
- 16 Company Holidays (includes 2 floating holidays)
- One Time $500.00 Stipend for Office Equipment
Company HQ
Old Mountain View, Mountain View, CA
Leadership
Kazuki Ohta
(CEO)Former CTO at Treasure Data and Preferred Infrastructure. Current Forbes Technology Council Member. Founded Hadoop User Group Japan.
Hiro Yoshikawa
(Chairman of the Board)Former Treasure Data CEO. Current Advisor To The President at Waseda University, and General Partner at Carbide Ventures.
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