Technical Product Manager - Data Science
Why TrueML?
TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. Consumers today want personal, digital-first experiences that align with their lifestyles, especially when it comes to managing finances. TrueML’s approach uses machine learning to engage each customer digitally and adjust strategies in real time in response to their interactions.
The TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people in a way that recognizes their unique needs and preferences as human beings and endeavoring toward ensuring nobody gets locked out of the financial system.
Role Overview
We are seeking an experienced and visionary Technical Product Manager (TPM) to lead the product strategy and execution for our Data Science team. This is a pivotal opportunity to shape the future of AI and Data Science at TrueML. This critical role sits at the intersection of data science, engineering, and business strategy. You will be responsible for defining, prioritizing, and delivering innovative data-driven products and capabilities that leverage machine learning, statistical modeling, and advanced analytics to solve key business challenges and unlock new opportunities. As the product leader for our data science initiatives, you will work closely with data scientists, engineers, business stakeholders, and customers to translate complex technical concepts and user needs into a compelling product roadmap and tangible results.
Benefits & Perks
Everything you need to work remotely
Unlimited PTO
Medical/dental/vision insurance
401k through Charles Schwab
Flexible Spending Account, Limited FSA, and Health Savings Account- with an eligible health care package.
Company-paid short-term and long-term disability plus basic life insurance.
Family-friendly maternity and paternity leave
Employee assistance program (EAP) via Claremont. Get free short-term counseling for mental health, free + discounted legal consultations, free financial consultations, access to work/life consultants, and more!
PerkSpot discount program. PerkSpot offers exclusive discounts to 900+ merchants nationwide, and has exclusive discounts up to 60% on hotels worldwide.
Paid time off to do volunteer work in your community.
Access to the Wellness Coach app for you and 5 family members
Responsibilities
Product Strategy & Vision: Define and champion the product vision, strategy, and roadmap for data science initiatives, aligning with overall company objectives and market opportunities.
Roadmap & Prioritization: Develop and maintain a prioritized product backlog based on business value, technical feasibility, user feedback, and strategic goals. Make the tough trade-off decisions necessary to ensure we efficiently deliver value to users and our business.
Requirements Definition: Collaborate closely with data scientists, engineers, designers, and stakeholders to gather requirements, define use cases, and translate them into clear, detailed technical specifications and user stories.
Cross-functional Collaboration: Act as the primary liaison between the Data Science team and other departments (Engineering, Marketing, Sales, Operations, etc.) to ensure alignment and successful product development and launch.
Technical Understanding: Develop a deep understanding of our data infrastructure, machine learning models, algorithms, and analytical techniques to effectively guide product development and communicate technical concepts to non-technical audiences.
Product Lifecycle Management: Oversee the entire product lifecycle from ideation and discovery through development, launch, iteration, and end-of-life.
Market & User Research: Conduct market research, competitive analysis, and user research to identify unmet needs, validate hypotheses, and inform product decisions.
Go-to-Market: Partner with marketing and sales teams to define go-to-market strategies, positioning, and messaging for new data products and features.
Performance Monitoring: Define key performance indicators (KPIs) and success metrics for data science products; monitor performance, analyze results, and drive continuous improvement.
Stakeholder Management: Communicate product plans, progress, and insights effectively to stakeholders at all levels, including executive leadership.
Qualifications (Required)
Bachelor's degree or equivalent professional experience in Computer Science, Engineering, Statistics, Mathematics, or a related technical field.
3+ years of experience in technical product management, preferably working with data science, machine learning, or AI-powered products.
Proven ability to define product strategy, develop roadmaps, and manage a product backlog.
Strong understanding of the data science lifecycle, including data collection, cleaning, modeling, validation, and deployment.
Familiarity with common machine learning algorithms, statistical concepts, and data analysis techniques.
Experience working closely with engineering and data science teams in an Agile/Scrum environment.
Excellent analytical and problem-solving skills, with a data-driven approach to decision-making.
Exceptional communication, presentation, and interpersonal skills, with the ability to influence and collaborate effectively across teams and levels.
Demonstrated ability to translate complex technical concepts into clear business value.
Qualifications (Preferred)
Master's or PhD degree in a relevant technical field.
Hands-on experience with data science tools and platforms (e.g., Python, R, SQL, Spark, TensorFlow, PyTorch, cloud ML platforms like AWS SageMaker, Google AI Platform, Azure ML).
Experience with A/B testing, experimentation frameworks, and data visualization tools (e.g. Tableau, Power BI).
Experience in fintech, consumer finance, and/or consumer marketing.
Experience managing platform products or APIs.
$99,000 - $132,000 a year
Compensation Disclosure: This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience, and other relevant factors.
We are a dynamic group of people who are subject matter experts with a passion for change. Our teams are crafting solutions to big problems every day. If you’re looking for an opportunity to do impactful work, join TrueML and make a difference.
Our Dedication to Diversity & Inclusion
TrueML and TrueAccord are equal opportunity employers. We promote, value, and thrive with a diverse & inclusive team. Different perspectives contribute to better solutions and this makes us stronger every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
For California Applicants: we collect personal information for employment purposes. We do not sell personal information. Most of the information we have is provided to us by you and/or collected as part of the employment process. For more details on how we use, share, and delete personal information see our Privacy Policy.
About the job
Apply for this position
Technical Product Manager - Data Science
Why TrueML?
TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. Consumers today want personal, digital-first experiences that align with their lifestyles, especially when it comes to managing finances. TrueML’s approach uses machine learning to engage each customer digitally and adjust strategies in real time in response to their interactions.
The TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people in a way that recognizes their unique needs and preferences as human beings and endeavoring toward ensuring nobody gets locked out of the financial system.
Role Overview
We are seeking an experienced and visionary Technical Product Manager (TPM) to lead the product strategy and execution for our Data Science team. This is a pivotal opportunity to shape the future of AI and Data Science at TrueML. This critical role sits at the intersection of data science, engineering, and business strategy. You will be responsible for defining, prioritizing, and delivering innovative data-driven products and capabilities that leverage machine learning, statistical modeling, and advanced analytics to solve key business challenges and unlock new opportunities. As the product leader for our data science initiatives, you will work closely with data scientists, engineers, business stakeholders, and customers to translate complex technical concepts and user needs into a compelling product roadmap and tangible results.
Benefits & Perks
Everything you need to work remotely
Unlimited PTO
Medical/dental/vision insurance
401k through Charles Schwab
Flexible Spending Account, Limited FSA, and Health Savings Account- with an eligible health care package.
Company-paid short-term and long-term disability plus basic life insurance.
Family-friendly maternity and paternity leave
Employee assistance program (EAP) via Claremont. Get free short-term counseling for mental health, free + discounted legal consultations, free financial consultations, access to work/life consultants, and more!
PerkSpot discount program. PerkSpot offers exclusive discounts to 900+ merchants nationwide, and has exclusive discounts up to 60% on hotels worldwide.
Paid time off to do volunteer work in your community.
Access to the Wellness Coach app for you and 5 family members
Responsibilities
Product Strategy & Vision: Define and champion the product vision, strategy, and roadmap for data science initiatives, aligning with overall company objectives and market opportunities.
Roadmap & Prioritization: Develop and maintain a prioritized product backlog based on business value, technical feasibility, user feedback, and strategic goals. Make the tough trade-off decisions necessary to ensure we efficiently deliver value to users and our business.
Requirements Definition: Collaborate closely with data scientists, engineers, designers, and stakeholders to gather requirements, define use cases, and translate them into clear, detailed technical specifications and user stories.
Cross-functional Collaboration: Act as the primary liaison between the Data Science team and other departments (Engineering, Marketing, Sales, Operations, etc.) to ensure alignment and successful product development and launch.
Technical Understanding: Develop a deep understanding of our data infrastructure, machine learning models, algorithms, and analytical techniques to effectively guide product development and communicate technical concepts to non-technical audiences.
Product Lifecycle Management: Oversee the entire product lifecycle from ideation and discovery through development, launch, iteration, and end-of-life.
Market & User Research: Conduct market research, competitive analysis, and user research to identify unmet needs, validate hypotheses, and inform product decisions.
Go-to-Market: Partner with marketing and sales teams to define go-to-market strategies, positioning, and messaging for new data products and features.
Performance Monitoring: Define key performance indicators (KPIs) and success metrics for data science products; monitor performance, analyze results, and drive continuous improvement.
Stakeholder Management: Communicate product plans, progress, and insights effectively to stakeholders at all levels, including executive leadership.
Qualifications (Required)
Bachelor's degree or equivalent professional experience in Computer Science, Engineering, Statistics, Mathematics, or a related technical field.
3+ years of experience in technical product management, preferably working with data science, machine learning, or AI-powered products.
Proven ability to define product strategy, develop roadmaps, and manage a product backlog.
Strong understanding of the data science lifecycle, including data collection, cleaning, modeling, validation, and deployment.
Familiarity with common machine learning algorithms, statistical concepts, and data analysis techniques.
Experience working closely with engineering and data science teams in an Agile/Scrum environment.
Excellent analytical and problem-solving skills, with a data-driven approach to decision-making.
Exceptional communication, presentation, and interpersonal skills, with the ability to influence and collaborate effectively across teams and levels.
Demonstrated ability to translate complex technical concepts into clear business value.
Qualifications (Preferred)
Master's or PhD degree in a relevant technical field.
Hands-on experience with data science tools and platforms (e.g., Python, R, SQL, Spark, TensorFlow, PyTorch, cloud ML platforms like AWS SageMaker, Google AI Platform, Azure ML).
Experience with A/B testing, experimentation frameworks, and data visualization tools (e.g. Tableau, Power BI).
Experience in fintech, consumer finance, and/or consumer marketing.
Experience managing platform products or APIs.
$99,000 - $132,000 a year
Compensation Disclosure: This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience, and other relevant factors.
We are a dynamic group of people who are subject matter experts with a passion for change. Our teams are crafting solutions to big problems every day. If you’re looking for an opportunity to do impactful work, join TrueML and make a difference.
Our Dedication to Diversity & Inclusion
TrueML and TrueAccord are equal opportunity employers. We promote, value, and thrive with a diverse & inclusive team. Different perspectives contribute to better solutions and this makes us stronger every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
For California Applicants: we collect personal information for employment purposes. We do not sell personal information. Most of the information we have is provided to us by you and/or collected as part of the employment process. For more details on how we use, share, and delete personal information see our Privacy Policy.