Director of Product Management - Machine Learning/Analytics

Here at Treasure Data, we are committed to our core company values of Humility, Openness, Honesty, and Reliability. As part of the process of developing these values, we've learned and embraced that diversity of backgrounds and perspectives strengthens our team, which serves to bolster the product we offer to our customers. So, no matter your race, age, sexual orientation, gender identity, religion, disability, or education, we want all Treasure Data employees to know that they are valued and heard.

Who We Are:
Treasure Data employees are enthusiastic, data-driven, and customer-obsessed. We are a team of drivers—self-starters who take initiative, anticipate needs, and proactively jump in to solve problems. Our actions reflect our values of honesty, reliability, openness, and humility. Treasure Data moved to remote-based work in March 2020 and remains committed to ensuring we remain agile to accommodate the shifting preferences of our workforce. While we are not working shoulder-to-shoulder, we still work side-by-side, finding unique ways to connect and create together while also respecting each other’s life priorities outside of work. We offer a competitive salary and benefits and were named one of the 2021 Best Places to Work.

What We Do:
At Treasure Data, we’re on a mission to radically simplify how companies use data to create connected customer experiences. Our sophisticated cloud-based customer data platform drives operational efficiency across the enterprise to deliver powerful business outcomes in a way that’s safe, flexible, and secure. With Treasure Data Customer Data Cloud, companies can overcome the data disconnect to responsibly collect and understand massive amounts of data, transform their businesses, and create new, targeted experiences across the entire buying journey. We’re proud to be InfoWorld’s 2022 “Technology of the Year” Award winner and trusted by leading companies around the world, spanning the Fortune 500 and Global 2000 enterprises.

The Opportunity:
Treasure Data is seeking a highly skilled Director of Product Management to lead our Machine Learning and Analytics product team. Reporting to the Head of Product, you will be responsible for driving the product roadmap including the entire product life-cycle from definition, build, launch, initial ramp and eventual end-of-life. You work cross-functionally to deliver high-quality solutions to a diverse set of global 2000 customers. The ideal candidate will have a strong marketing and data science background as well as a proven track record of delivering successful enterprise grade SaaS products.

Strategy and Vision:
Develop and communicate a compelling vision for the machine learning and analytics features of the Treasure Data CDP.

Collaborate with the executive team to align the product strategy with the company's overall business goals and objectives.

Stay abreast of industry trends, competitor offerings, and emerging technologies to maintain a competitive edge.

Product Development:
Lead the end-to-end product development lifecycle, from ideation to launch, ensuring timely and successful delivery of machine learning and analytics features.

Define and prioritize product requirements, user stories, and use cases based on customer feedback, market research, and data analysis.

Work closely with cross-functional teams, including engineering, data science, UX/UI design, and marketing, to deliver high-quality products that exceed customer expectations.

Customer Insights and Feedback:
Engage with customers to understand their needs, pain points, and use cases related to machine learning and analytics.

Gather feedback from customers and internal stakeholders to drive continuous product improvement and innovation.

Conduct market research and competitor analysis to identify opportunities for differentiation and market leadership.

Go-to-Market Strategy:
Collaborate with the marketing and sales teams to develop compelling product messaging, positioning, and go-to-market strategies for machine learning and analytics features.

Support the sales team in customer engagements, providing technical expertise and product knowledge as needed.

Product Performance and Success:
Define key performance indicators (KPIs) and track product performance against established metrics.

Monitor customer usage patterns and user behavior to identify areas for improvement and growth.

Take data-driven decisions to optimize product performance and customer satisfaction.

About You:
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. An MBA or equivalent business experience is a plus.

Proven experience (typically 12+ years) in software product management, preferably in machine learning, advanced analytics, or data-related products.

Strong technical background including experience with Customer Data Platforms (CDPs), machine learning technologies, data science, and analytics platforms.

Deep understanding of how ML/Analytics is used by Global 2000 Marketing departments.

Excellent leadership and communication skills with the ability to influence cross-functional teams effectively including engineering, UX, sales, and marketing.

Proven track record of delivering successful ML or Analytics products and driving growth in a fast-paced, dynamic environment.

Experience working with Customer Data Platforms (CDPs) or similar customer data-related products is advantageous.

Solid understanding of the broader data management landscape, including data integration, warehousing, and data governance.

Strong analytical and problem-solving skills, coupled with a passion for turning data insights into actionable product improvements.

Inspirational Leader who has successfully managed, mentored and grown product teams.

If you are a self-starter who is passionate about the intersection of technology, data and marketing, and have a proven track record of launching successful products in the customer data space, we encourage you to apply for this exciting opportunity.

Physical Requirements:
Employees within a 1 hour commute of any office must come in 3x a week.

Travel Requirements:
Ability to Travel up to 25% of the time.

Perks and Benefits (US):
Our benefit package showcases our culture of care and empathy with

Comprehensive medical, dental, vision plans and Employee Assistance Program (EAP)

Competitive compensation packages

Company paid life insurance 3x salary

Company paid short- and long-term disability coverage

Retirement planning (401K) with company match

Restricted Stock Units (RSU)

Paid vacation and sick time

Paid volunteer and mental health days

Up to 26 weeks paid parental leave

16 Company holidays (includes 2 floating holidays)

Our Dedication to You:
We value and promote diversity, equity, inclusion, and belonging in all aspects of our business and at all levels. Success comes from acknowledging, welcoming, and incorporating diverse perspectives.

Diverse representation alone is not the desired outcome. We also strive to create an inclusive culture that encourages growth, ownership of your role, and achieving innovation in new and unique ways. Your voice will be heard, and we will help amplify it.

Agencies and Recruiters:
We cannot consider your candidate(s) without a contract in place. Any resumes received without having an active agreement will be considered gratis referrals to us. Thank you for your understanding and cooperation!