Role Overview

The Senior Product Manager – Residential Mortgage is an individual contributor who is customer-facing and focused on supporting the successful market adoption of JazzX’s AI-powered Residential Mortgage application. This role works closely with Product leadership, Sales, and Marketing to help translate product capabilities into clear customer value and effective go-to-market execution.

The Senior Product Manager contributes to product launches, customer engagement, messaging refinement, and field enablement, while serving as a strong conduit for customer and market feedback back into the product organization. This role plays an important role in executing against the Go-To-Market strategy with rigor and clarity.

This position is well-suited for a product manager with solid residential mortgage domain experience who is ready to operate in complex enterprise environments.

Core Responsibilities

Product Go-To-Market Support

• Support product go-to-market execution for JazzX’s Residential Mortgage application in partnership with Product leadership, Sales, and Marketing.
• Assist with launches by helping prepare customer-facing materials, enablement assets, and internal readiness documentation.
• Help ensure new capabilities are introduced with clear use cases, value propositions, and adoption guidance.

Product Messaging & Enablement

• Contribute to the development and refinement of product messaging and positioning.
• Help translate mortgage workflows, compliance requirements, and AI-driven functionality into clear, accurate customer-facing narratives.
• Support creation and maintenance of sales enablement materials such as pitch decks, demo flows, FAQs, and product documentation.

Customer & Market Engagement

• Participate in customer meetings, demos, pilots, and feedback sessions as a product representative.
• Support customer discovery efforts to understand operational pain points, adoption challenges, and feature gaps.
• Capture and synthesize customer feedback to share with Product leadership, Sales, and Marketing.

Launch & Readiness Execution

• Assist in coordinating launch activities across product, engineering, marketing, and field teams.
• Help track launch readiness tasks and follow up on post-launch feedback and adoption signals.
• Support continuous improvement of messaging and enablement based on customer and field input.

Competitive & Market Awareness

• Maintain awareness of competitive mortgage technology solutions and industry trends.
• Help gather and organize competitive insights to support positioning and sales conversations.
• Escalate notable competitive patterns or risks to product leadership.

Qualifications

Experience

• 5–8+ years of experience in product management, product marketing, solutions consulting, or related roles.
• Residential mortgage experience is required, with familiarity across workflows such as origination, underwriting, processing, closing, and post-close.
• Experience working with enterprise customers or supporting complex B2B sales cycles is strongly preferred.

Domain & Technical Acumen

• Solid understanding of residential mortgage processes, terminology, and regulatory considerations.
• Familiarity with enterprise SaaS products and workflow-driven systems.
• Exposure to AI-enabled products is preferred, with the ability to explain capabilities clearly and responsibly.

Skills & Attributes

• Strong written and verbal communication skills.
• Comfortable engaging with customers and internal stakeholders in structured settings.
• Organized, detail-oriented, and able to manage multiple initiatives in parallel.
• Demonstrated ability to learn quickly and operate effectively in evolving environments.

Education

• Bachelor’s degree in Business, Engineering, Computer Science, or a related field required.
• Advanced degree (MBA or equivalent) is a plus.

About the Role

The Head of UX Design is a foundational leadership role at JazzX. You will define how humans and AI collaborate to get real work done in complex enterprise environments—how judgment is surfaced, decisions are explained, and autonomous systems are supervised safely and effectively. You own the experience layer where institutional intelligence becomes usable, trusted, and adopted at scale.

This is a true 0 → 1 → scale role. You will set the UX vision, design and ship core workflows hands-on, establish the design system and research discipline, and build a world-class UX organization as the platform expands across industries. You'll design for professional users operating in regulated, high-stakes enterprise workflows where precision, auditability, and trust are non-negotiable.

What You'll Do

• Define the UX vision for AI-native digital workers: Set principles that balance automation with oversight—clarity, control, explainability, trust, and speed—for enterprise users managing high-stakes workflows
• Lead user research and workflow discovery: Build the research practice and become deeply fluent in enterprise personas—their incentives, constraints, and pain points
• Architect the platform experience and design system: Build the foundational design system and define AI-specific patterns for task state, reasoning visibility, confidence signaling, audit trails, and enterprise-grade controls
• Own end-to-end product experience and adoption: Oversee UX across all product surfaces, define success metrics, and ensure JazzX is embedded into users' day-to-day enterprise workflows—not experienced as another tool, but as part of how work gets done
• Build the UX function and design culture: Hire, mentor, and scale a world-class team of product designers, UX researchers, and content designers
• Support product storytelling and demos: Partner with Product, Marketing, and Sales to translate capabilities into crisp, intuitive narratives for enterprise buyers and end users

What We're Looking For

• 0 → 1 builder with startup DNA: Able to architect an end-to-end user experience from scratch. A player-coach who will stay hands-on (Figma, prototyping, research) while laying the foundation for scale
• Deep enterprise software experience: Proven track record designing complex B2B applications for professional users. You understand enterprise buying cycles, multi-persona workflows, and the realities of deploying software in large organizations
• AI-native and agentic UX expertise: Deep experience designing AI-powered systems where AI performs consequential work and humans supervise outcomes. Strong instincts around human-in-the-loop controls, explainability, auditability, and trust-building UX. This is not chatbot UX.
• Full-stack UX leader: Equally strong in user research, information architecture, product design, user interaction design, visual design, prototyping, and usability testing—with a high bar for craft and shipped quality
• Design systems thinker: Able to build a scalable design system that increases engineering velocity while keeping the product coherent across workflows and future vertical expansions
• AI-fluent in your own practice: Uses AI tools in your design work—prototyping, research synthesis, concept generation. The design leader should be pushing boundaries on AI-assisted design, not just designing for AI
• Comfortable in regulated, complex domains: Experience designing for environments where accuracy, compliance, and trust matter (financial services, healthcare, legal). Mortgage/lending experience is a strong plus
• 12+ years of UX design experience, with a proven track record leading design for enterprise products and a strong portfolio demonstrating shipped enterprise products, complex workflows, and design systems.

About the Role

We are seeking an experienced AI Engineer with deep expertise in Reinforcement Learning (RL) to join our team as a Senior Staff Architect. In this role, you will be responsible for shaping the vision, architecture, and technical execution of RL-driven AI reasoning models and systems that power next-generation enterprise AGI platform.

You will lead the design, development, and optimization of cutting-edge RL solutions, from experimentation and simulation through production deployment. This includes building scalable training architectures, architecting multi-agent and hierarchical RL frameworks, and ensuring that the RL systems are resilient, efficient, explainable and safe.

As a senior technical leader, you will partner with cross-functional teams—including product, core platform engineering, and research—to define architectural best practices, establish governance standards, and enable seamless integration of RL into our broader AGI platform. You will also drive innovation by exploring novel RL techniques, mentoring engineers and researchers, and ensuring the RL infrastructure can scale to support high-throughput training and real-world scenarios and enterprise use cases end to end.

Ultimately, your work will be critical in bridging research and production, ensuring that the latest RL advancements translate into reliable, impactful, and enterprise-ready AI solutions.

Key Responsibilities

• Architecture & Design: Define and drive the end-to-end architecture for reinforcement learning–based systems, including training pipelines, simulation environments, reward shaping, and model serving.
• Research & Development: Apply cutting-edge RL techniques (policy optimization, model-based RL, hierarchical RL, multi-agent RL, etc) to solve complex enterprise problems.
• Scalability & Infrastructure: Design distributed training systems, leverage cloud-native infrastructure, and optimize for performance, reproducibility, and cost-efficiency.
• Leadership & Mentorship: Provide technical leadership to AI engineers and researchers; mentor junior team members; review designs and code with a focus on scalability, robustness, and clarity.
• Collaboration: Partner with product, data, and platform teams to align RL solutions with strategic business goals and integrate them into production systems.
• Evaluation & Monitoring: Define frameworks for benchmarking, continuous evaluation, and feedback-driven improvements in deployed RL models.
• Compliance & Safety: Ensure RL systems align with ethical AI practices, safety constraints, and regulatory standards for enterprises.

Required Qualifications

• 10+ years of experience in AI/ML engineering, including at least 5 years specializing in reinforcement learning research and production systems.
• Demonstrated success in designing and deploying large-scale RL architectures in enterprise environments.
• Deep expertise in reinforcement learning algorithms, including on-policy (PPO, A3C) and off-policy (SAC, DDPG) methods, along with hands-on work in simulation frameworks (e.g., OpenAI Gym, Isaac Gym, PettingZoo, MuJoCo).
• Practical experience with multi-agent reinforcement learning (MARL), including coordination strategies for complex environments.
• Strong proficiency in Reinforcement Learning with Verifiable Rewards (RLVR) and GRPO-like policy optimization approaches, applying reinforcement learning principles both rigorously and pragmatically.
• Experience with test-time compute optimization techniques, including inference-time search, chain-of-thought reasoning, and adaptive computation strategies for improving model performance during deployment.
• Proven ability in large language model (LLM) training and fine-tuning, across both supervised and reinforcement learning–driven techniques.
• Advanced software engineering skills in Python, C++, or Java, with deep expertise in ML frameworks such as TensorFlow, PyTorch, JAX, or Ray RLlib.
• Hands-on experience with distributed training infrastructure (Kubernetes, GPU/TPU clusters, and cloud ML platforms).
• Excellent communication, collaboration, and leadership skills, with experience working across multidisciplinary teams.

Preferred Qualifications

• PhD in Computer Science, Machine Learning, Robotics, or related field.
• Experience leading enterprise AI adoption and guiding organizational strategy for RL powered systems.
• Contributions to open-source RL frameworks or publications in top-tier conferences (NeurIPS, AISTATS, ICML, ICLR, AAAI).
• Background in safety, alignment, or explainability of RL agents.

We offer a competitive salary ranging from USD 207,000 to USD 290,000, along with equity options and an attractive benefits package, including health, dental, and vision insurance, flexible working arrangements, and more.

We are an equal opportunity employer and celebrate diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Staff Software Development Engineer  

As a Staff Software Development Engineer at JazzX, you'll define the technical vision for our enterprise AI platform, mentor senior engineers, and oversee the design, development, and deployment of critical AI, software and infra services and components.  You'll be responsible for ensuring the platform's scalability, reliability, security and observability. 

What You Will Do 

Design and Architect Scalable Solutions: 

• Lead the design and development of high-performance, scalable services and components for our enterprise AI platform using a cloud-first, cloud-agnostic approach with world class AI capabilities, scalability, security, privacy and operability.
• Champion a cloud-first, cloud-agnostic approach to ensure platform versatility, scalability, and future-proof architecture.
• Champion innovative AI and software design patterns and best practices to ensure code maintainability, reusability, and testability.
• Contribute to the platform's technical direction by staying up to date on emerging AI technologies, cloud design patterns and user experience methodologies. 

Collaborative Innovation: 

• Foster a collaborative environment by working closely with cross-functional teams (AI/research engineers, software engineers, architects, product managers, and designers) to translate complex platform and product requirements into elegant, scalable, and modular AI, software and infrastructure components.
• Foster a collaborative and inclusive environment by effectively communicating technical concepts and design decisions across diverse audiences.
• Provide mentorship and guidance to junior engineers, fostering their growth and development. 

Driving Operational Excellence: 

• Oversee the seamless integration of components into the platform, ensuring efficient operation, reliability, and a dependable user experience for both customers and partners.
• Champion DevOps and AIOps best practices for AI services, maintainability, performance optimization, and observability. 

Requirements 

• Minimum 8+ years of experience designing, building, and operating cloud-native applications at scale. Expertise in container orchestration frameworks like Kubernetes and containerization technologies like Docker. Expertise in AI/ML/data capabilities, platforms, frameworks and tools.
• Proven track record deploying and managing cloud environments using Infrastructure as Code (IaC) tools like Terraform, Ansible, or CloudFormation.
• Experience in designing and implementing highly available, scalable, and fault-tolerant systems. 

Development Lifecycle: 

• End-to-end ownership of the entire software development lifecycle (SDLC) for complex enterprise platforms and products. This includes experience in design, prototyping, development (including unit, integration, and end-to-end testing), deployment, and ongoing operations. 

Technical Skills: 

• Mastery of essential software development principles with a focus on clean code, design patterns, and best practices.
• In-depth expertise in at least two of the following programming languages: Python, Java, JavaScript, Golang, or C++.
• Solid understanding of distributed systems concepts and experience with distributed tracing tools. 

AI/ML Experience: 

• Demonstrated experience in building, deploying, and managing Machine Learning (ML) and Artificial Intelligence (AI) platforms and services. Familiarity with MLOps practices, frameworks (TensorFlow, PyTorch), and tools is a plus 
• Familiarity with modern LLMs and AI agent frameworks like LangChain, LlamaIndex , AutoGen etc. is a strong plus