Driving the Client Experience (B2B)
- Empower the Client: Define and deliver intuitive features that allow enterprise clients to configure their communication strategies, compliance constraints, and brand voice within our platform.
- Transparency & Control: Help create "glass box" visibility into our AI models, giving clients the insights they need to understand why a specific communication strategy was chosen.
- Seamless Integration: Manage integrations with 3rd-party vendors (e.g., Twilio, Sparkpost) to ensure our experiences can scale effectively.
- Workflow Optimization: Engage directly with client strategy teams to understand their pain points and translate them into user stories that streamline their daily workflows.
Driving Consumer Impact (B2C)
- Hyper-Personalization: Collaborate with data science teams to implement compliance-first "agentic decisioning" - ensuring the system intelligently selects the best engagement for each individual consumer.
- Engagement Strategy: Shift the focus from simple "delivery rates" to meaningful consumer outcomes. You will measure success by how well our communications drive positive financial resolution.
- Experimentation and Feedback Loops: Utilize quantitative engagement data and A/B testing strategies to continuously train our models and improve the consumer journey.
Product Strategy & Leadership
- The Roadmap: Contribute to the product roadmap for AI/ML-driven communications, prioritizing client feature requests alongside long-term innovation.
- Cross-Functional Bridge: Act as the day-to-day translator between technical teams (Engineering/Data Science) and business stakeholders (Sales/Customer Success).
- Compliance & Safety: Ensure the platform remains compliant with strict financial regulations (e.g., FDCPA, TCPA) while scaling to meet enterprise volume.
What We're Looking For:
- Experience: 3+ years in Product Management, with exposure to AI/ML, Data, or Communications platforms.
- The "Double-Sided" Mindset: Experience working on B2B2C products or a strong understanding of how to balance business buyer needs with end-user experience.
- Channel Expertise: Strong understanding of outbound communication channels (Email deliverability, SMS/MMS regulations) and vendors.
- Data Fluency: You are comfortable working with Data Science teams on personalization algorithms, audience segmentation, and predictive analytics.
- Soft Skills: Ability to articulate complex technical concepts to non-technical client stakeholders clearly.
- Education: Bachelor's degree in Computer Science, Business, or a related field.
Why You’ll Love This Role:
- You will have the unique opportunity to use cutting-edge technology not just to optimize metrics, but to help real people navigate difficult financial situations with dignity.
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What We Do
TrueML makes financial technology that prioritizes customer experience and revolutionizes the experience of consumers seeking financial health. We’re a team of inspired data scientists, financial services industry experts, and customer experience fanatics creating experiences that serve people in a way that recognizes their unique needs and preferences as human beings and endeavoring to ensure nobody gets locked out of the financial system. After more than 10 years in business, TrueML is excited to be expanding its footprint internationally. We are a growing, geographically diverse team with employees in 30 U.S. states and 7 different countries, with our key talent hub in LATAM. If you’re looking for an opportunity to do impactful work, join TrueML and make a difference alongside hundreds of other inspired individuals.
Why Work With Us
Our functional teams are a diverse mix of employees from different backgrounds and geographies, with each individual bringing unique perspectives and experiences that encourage increased innovation in our products and services. Join TrueML and make a difference alongside hundreds of other inspired individuals doing impactful work.
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TrueML Offices
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Employees work remotely.
TrueML is excited to be a remote-first company with team members across the US, Canada, and several countries in LATAM (Mexico, Argentina, Dominican Republic, and Costa Rica). Our teams frequently digitally collaborate & socialize across borders.











