We are searching for an innovative thinker who wants to be a part of shaping our future product strategy supporting Bankrate’s Home Lending transformation.  As a Lead Product Director, you will own the strategy, roadmap, and outcomes for Bankrate’s Supply platform ecosystem, with primary accountability for Loantek, our pricing and product engine that underpins the home lending marketplace.

This role combines end-to-end product strategy ownership with people leadership. You will lead a cross-functional squad and manage a team of Product Managers and a pricing analyst, while setting a 12–24 month product vision to modernize and scale the platform in preparation for future growth and anticipated refinance traffic surges.

This is a high-impact platform role focused on reducing complexity, increasing scalability and reliability, and creating clarity across pricing, data, and advertiser workflows. You will determine the best path forward to invest in our platform and innovate to support greater personalization and prequalification capabilities.

What You’ll Do:

Product Strategy & Vision

• Own and define the end-to-end product strategy for Loantek, BAP, and RMS, with Loantek as the primary and most critical focus area.
• Develop a clear, multi-year product vision for modernizing the pricing engine and supporting systems to handle increased scale, complexity, and volume — including preparedness for expected 2026 refinance traffic surges.
• Deeply understand the current state of Loantek’s pricing logic, integrations, constraints, and operational realities, and articulate a cohesive modernization roadmap from a product lens.
• Frame strategic tradeoffs explicitly and guide investment decisions using customer needs, advertiser outcomes, platform health, and business impact.

• Ensure pricing, data, and advertiser workflows are scalable, reliable, and aligned with long-term business needs.

Cross-Functional Leadership & Execution

• Lead a cross-functional squad, setting direction while empowering PMs to own discovery, delivery details, and sprint execution.
• Partner with Engineering and Design leads to ensure strong execution health, technical quality, and appropriate sequencing of foundational vs. feature work.
• Establish clear operating rhythms, decision frameworks, and success metrics that enable consistent delivery and learning.
• Partner closely with engineering, design, data, and business stakeholders to ensure these systems work together cohesively as a platform ecosystem.

People Leadership & Craft Development

• Manage and coach 3 direct reports, acting as a people builder who grows PM craft, judgment, and autonomy.
• Provide clear expectations, ongoing feedback, and coaching across discovery, delivery, stakeholder management, and systems thinking.
• Balance being hands-on where needed while enabling PMs to independently drive day-to-day execution and discovery.

Measurement & Outcomes

• Define success metrics tied to platform scalability, pricing effectiveness, advertiser outcomes, and system reliability.
• Use quantitative and qualitative insights to validate strategy, guide prioritization, and iterate on the roadmap.
• Take accountability for outcomes, not just output, and incorporate learnings into future investment decisions.

What We’re Looking For:

• Ownership of a home lending pricing engine or PPE, ideally in mortgage or refinance contexts.
• Deep knowledge of mortgage pricing, rate logic, eligibility constraints, margins, and advertiser dynamics.
• Experience with pricing platforms such as Optimal Blue, Mortech, or similar engines.
• Proven ability to modernize and scale complex, legacy platform systems.
• Technical product or engineering background focused on backend, platform-level systems.
• Strong product leadership with a 12–24 month strategic horizon and systems-level thinking.
• Experience leading PMs or readiness to step into people leadership.
• Ability to influence cross-functional teams and drive measurable, revenue-impacting outcomes amid ambiguity.

What Success Looks Like:

• Becomes the trusted product authority for Loantek and the broader pricing platform.
• Delivers a clear modernization vision that improves scalability, resilience, and future readiness.
• Ships net-new platform capabilities that create meaningful consumer and business value.
• Builds a confident, high-impact PM team and increases stakeholder clarity and confidence.

Compensation:

This range reflects total cash compensation, which may include base salary only or base salary plus target bonus, depending on the role. Where eligible, equity may also be offered separately and not included below. Actual compensation varies based on location, experience, and qualifications.

• Total Cash Compensation Range: $145,000 – $200,000

*New York City Total Cash Compensation Range: $181,250 – $250,000

Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements.

• Health Insurance Coverage (medical, dental, and vision)
• Life Insurance
• Short and Long-Term Disability Insurance
• Flexible Spending Accounts
• Holiday Pay
• 401(k) with match
• Employee Assistance Program
• Paid Parental Bonding Benefit Program
• Flexible Paid Time Off (PTO): We believe time to rest and recharge is essential.  That’s why we offer a generous and flexible PTO policy.  Full-time employees accrue 20 days of PTO for a full calendar year annually, with an increase to 25 days after five years of service.

Who We Are:

Bankrate is redefining the future of financial decision-making. For nearly five decades, we’ve empowered tens of millions of consumers to make smarter financial choices and helped hundreds of leading financial institutions grow. Today, we’re evolving from a marketplace into a next-generation technology platform—underpinned by proprietary data, AI-driven innovation, and deep enterprise integrations. With  our track record of delivering consumers quantifiably better offers—for example, on home loans  where we lead the market—Bankrate stands at the center of the $60B U.S. financial services acquisition opportunity. As we expand through  omnichannel marketing and strategic  partnerships, and launch  unique consumer product applications, we’re building a more efficient, personalized, and connected financial ecosystem—one grounded in trust. Join us as we transform five decades of credibility into the next era of financial technology.

Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person’s merit and qualifications. 

We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com. 

If you are based in California, we encourage you to read this important information for California residents linked here.

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As a Staff Applied AI Product Engineer, you will bridge the gap between cutting-edge AI capabilities and real-world patient needs. You will take a hands-on leadership role in architecting and integrating LLM-driven features into our core platform. While our foundation is built on Ruby on Rails (SOA) and React, you will lead the evolution of our stack to support AI-native workflows and build agents to support key business initiatives such as improving care navigation quality and efficiency.

You will work closely with Data and Product teams (including a dedicated Applied AI PM) to determine use cases that require LLMs rather than ML, build robust RAG (Retrieval-Augmented Generation) pipelines, select appropriate foundation models, iterate on prompts, and design the “glue” that turns raw model intelligence into reliable product features. You will partner with our DevOps team to leverage AWS/Azure for simple and cost-effective cloud infrastructure deployment, ensuring that systems are both performant and resilient. A key responsibility will be implementing comprehensive monitoring and observability practices to guarantee the high availability, security, and scalability of our new AI services. Additionally, you will collaborate directly with our internal clinical experts to validate model outputs, ensuring your AI agents are safe, accurate, and truly helpful in a healthcare setting.

As a senior technical leader, you will own the AI engineering strategy, moving us beyond “demos” into scalable, production-ready systems. You will establish patterns for building “smart products,” model evaluation, latency optimization, and cost management, while ensuring we maintain strict data privacy and HIPAA compliance. You will champion Responsible AI by operationalizing the internal guidelines set by our AI Council, ensuring that fairness checks, bias detection, and safety guardrails are strictly implemented to serve all patient demographics equitably. You will mentor the wider engineering team on AI-native development practices (such as prompt engineering and context management) and collaborate with product managers to identify high-leverage opportunities where AI can radically simplify the healthcare experience. You will partner with the VP of Engineering and Chief Product Officer to staff and align delivery teams on your initiatives, while working with product teams to define project timelines and milestones from inception to go-live.

This is a full time position, the salary range for this role is $190,000 – $260,000 depending on level of experience and geographic location.

You’re excited about this opportunity because you will…

• Define the Gen AI technical roadmap: You will build the foundation of Applied AI function at Carrum and have a direct impact on how Carrum leverages Generative AI to automate complex healthcare coordination and improve patient outcomes.
• Build “magic” features: Move fast to prototype, iterate and ship AI-powered experiences that feel magical to users, such as instant answer bots or automated appointment logistics.
• Architect for the future: Be the sole  expert on integrating vector databases, orchestration frameworks (like LangChain), and LLM APIs into a mature Service-Oriented Architecture.
• Bridge the gap: Act as the translator between the “stochastic” world of AI models and the “deterministic” world of software engineering, ensuring reliability and trust.
• Lead without ego: Mentor talented full-stack engineers on how to incorporate AI tools into their workflows, lifting the technical ceiling of the entire team.
• Own the outcome: Take ownership of the full lifecycle of AI features—from prompt iteration and evaluation to production monitoring and user feedback loops.
• Solve meaningful problems: Relish working with a diverse cross-functional group to solve actual pain points for patients, rather than just building tech for tech’s sake.
• Prioritize quality: Hold yourself and others accountable to spending that extra 10% on a project to deliver great documentation in addition to the functionality itself.

We’re excited about you because…

• You have strong engineering roots: You have 10+ years of software development experience and have been the most senior engineer on a team. You know how to build robust, scalable, high availability systems, not just Jupyter notebooks.
• You are an expert AI practitioner: You have 2+ years of dedicated professional experience architecting production-grade applications with LLMs (OpenAI, Anthropic, Llama). You haven’t just built demos; you have gone deep into the complexities of RAG pipelines and vector databases (e.g., pgvector, Pinecone), solving for latency, hallucination, and retrieval accuracy at scale in customer facing products.
• You go beyond AI/API basics: You know when to leverage prebuilt solutions versus custom LLM integrations and can apply fine-tuning and model optimization techniques when needed
• You know the stack (or can learn it fast): You have experience working in a web application environment (Ruby on Rails, Python), have designed systems and know how to expose AI logic via performant APIs to frontend clients (React).
• You include infrastructure in your designs: You are comfortable working with DevOps to design and configure Terraform for AI infrastructure, ensuring your services are deployable, reproducible, and scalable.
• You act as a Tech Lead: You don’t just write code; you drive execution and elevate the team. You enjoy technical leadership through code reviews, architectural design docs (RFCs), and teaching others, while also project managing cross-functional initiatives—breaking down ambiguous requirements, managing dependencies, and coordinating across teams to deliver on time.
• You are AI-native: You use AI developer productivity tools (e.g., Cursor, GitHub Copilot) daily to accelerate your workflow and mentor the team on effective AI-assisted development.
• You care about “The Last Mile”: You understand that a model is only as good as the product wrapping it. You care about latency, error handling, monitoring/alerting and the user experience when the model hallucinates.
• You are data-pragmatic: You are comfortable with SQL and data modeling, understanding that good AI requires good data infrastructure.
• You are entrepreneurial: As a member of a startup, you excel at going from 0 to 1, finding creative ways to use AI to launch new products quickly and make a big impact with limited resources.
• You manage complexity well: You have experience handling deadlines, keeping many balls in the air, and prioritizing work in a fast-paced, dynamic environment.
• You value distinct human skills: You have interpersonal skills and don’t have a hard time being empathetic, courteous, and friendly.