Join Horace Mann and Unlock Your Financial Potential

Ready to take control of your financial future? At Horace Mann, we are here to support you in achieving your goals and making a meaningful difference in the lives of the educators who trust you. Join us and take the first step toward building a brighter, more prosperous future.

If you're ready to take the next step toward realizing your financial goals, we invite you to join our team as an Exclusive Agent. With Horace Mann’s expertise and your ambition, together, we can help you unlock your full potential.

What We Offer:

• Agency owner with an exclusive niche, defined territory — no overlap with other agents
• Competitive, performance-based [1099] compensation with an industry-leading 48-month incentive package
• Earning incentives tied to your activity and success during the first 48 months
• Quarterly production incentives for the first 48 months, rewarding consistent performance
• Dedicated Service Representative to handle client service work, allowing you to focus on building your business
• Cutting-edge technology and ongoing training to support and grow your operations
• A comprehensive multiline product portfolio to meet a variety of client needs
• Market and relationship-building programs to help you establish and grow your network

Your Path to Success:

Several factors will contribute to your success in this role, including:

• A commitment to identifying and implementing solutions that help educators achieve affordable insurance solutions and financial security
• A focus on achieving market access and building strong relationships
• The ability to confidently present products to both groups and individuals
• Active engagement in networking, community, and industry events
• A dedication to investing time and resources to ensure the long-term success of your business

What We’re Looking For:

• Strong interpersonal and business management skills to build and manage your agency
• 2-5 years of experience in the insurance and financial services industry (preferred)
• Resident State General Lines Insurance Licenses:
• Life and Health Insurance License
• Property and Casualty Insurance License
• Ability to obtain FINRA Series 6 & 63 licenses (if applicable in your region)

#LI-MH1

#VIZI#

MongoDB is looking for a transformational HR Leader who has partnered with senior leaders to drive complex, global change at scale. As the Senior Director, you will partner with the Chief Revenue Officer Leadership Team and the VP, HRBP to drive a people strategy that enables durable, profitable growth, expands our market reach, and builds a deep bench of leaders for tomorrow. The role reports to the VP, HR Business Partnering and manages a global team of two. 

At MongoDB, the HRBP team’s key focus is to be a trusted advisor to business leaders, translating business strategy into people and organizational priorities that drive performance, culture and growth. This includes shaping workforce strategy & culture, optimizing organizational design and building leadership capability. They use data and insights to influence decisions, anticipate talent needs and ensure that the business has the right structure, culture and capabilities to scale. In short, they are an extension of the business leadership team. They accomplish all of this through very close collaboration with the various other functions within the People Team - Total Rewards, Culture Talent & Development, Talent Acquisition, Regional HR, HR Operations, and People Analytics.  

Key Responsibilities

​Strategic Partnership & Business Leadership

• Serve as a trusted advisor to the CRO and global Sales leadership team, shaping people and organizational strategies that drive scalable revenue growth and global market expansion
• Leverage business acumen and data-driven insights to influence decisions on organization design, talent strategy, and leadership effectiveness
• Lead and develop a global team, fostering growth, excellence, and deep partnership capability

Talent & Performance Management

• Drive a high-performance culture through disciplined goal-setting, continuous feedback, and performance calibration across regions
• Partner with leaders to identify, develop, and retain top talent
• Use analytics and insights to diagnose trends, assess bench strength, and implement targeted development and engagement strategies that sustain performance
• Practice what you coach within your own team, providing continuous feedback, coaching and guidance to your team of BPs

Leadership Development & Succession Planning

• Lead succession planning for critical roles, ensuring depth and readiness across the global Sales organization
• Provide executive coaching and counsel to senior leaders to elevate influence, decision-making, and people leadership capability

Organizational Planning, Design & Change Leadership

• Lead global transformation and organizational design initiatives to ensure that the organizational structure enables accountability, scalability and performance
• Architect organizational change, ensuring transformations are executed thoughtfully and sustainably with clear communication and employee engagement

Culture & Employee Experience

• Act as a culture carrier and change agent, embedding company values and leadership principles into daily decisions, programs & behaviors
• Foster a culture of retention where teams feel empowered and aligned to outcomes

Profile & Experience

• 12+ years of HR experience, including 8+ years in senior HRBP roles and at least 4+ years leading a team of HRBPs
• Proven success leading people strategy and organizational transformation in a high-growth, high-performance technology company
• Strong business acumen and deep understanding of Go-To-Market operations and strategies
• Demonstrated ability to influence, build trust, and drive change across complex global organizations with very senior leaders
• Track record of leading through ambiguity and scaling organizations
• Analytical and insight-driven; uses data to guide decisions and measure impact
• Exceptional communication, judgment, and credibility at the most senior levels
• Consumption experience is a plus

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 1273422877

Location Details: 

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.

This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.  

This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.

We encourage you to apply even if your experience or skillset doesn’t align perfectly with every requirement. We value a wide range of backgrounds and transferable skills, and we are excited to support learning and growth.

About us...  GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. 

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that’s not enough to build true equity and belonging in our communities. That’s why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It’s the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. 

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to myrecruiter@godaddy.com. 

Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies.

About the Role:

As the Enterprise Applications AI Architect, you will lead the integration of AI and automation across Gusto’s enterprise applications ecosystem, transforming how internal systems connect, communicate, and operate. Sitting within the IT and Enterprise Applications organization, you will partner closely with Product, Engineering, Finance, People Tech, and Operations to bridge business needs with AI driven solutions. You will act as the connector between business requirements and AI frameworks, designing Model Context Protocols (MCPs) and AI agents that make enterprise workflows smarter, faster, and more autonomous. In line with Gusto’s FY26 Enterprise Systems strategy, you will help shift our ERP and Finance systems from reactive workflows to predictive, context aware, and self improving platforms, while ensuring security, compliance, and measurable impact. This role combines hands-on technical execution with strategic systems thinking, using integration fluency, AI literacy, and business empathy to create the connective tissue that allows AI to seamlessly augment enterprise operations.

About the Team:

This role will report to the Enterprise AIT team, a group focused on driving the intelligent transformation of Gusto’s enterprise systems. The Enterprise AIT team is responsible for integrating AI, automation, and advanced analytics across our internal applications ecosystem to improve scalability, efficiency, and decision-making. Partnering closely with Finance, Business Ops, IT, and Security, the team enables Gusto’s enterprise systems to become smarter, more predictive, and more adaptive. This is a new role, designed to expand the team’s capacity to operationalize AI within enterprise workflows and support Gusto’s broader Enterprise Systems strategy.

Here’s what you’ll do day-to-day:

• Translate business needs into AI workflows by partnering with Finance and Business Operations teams to identify automation opportunities and design agentic workflows that improve decision making and reduce manual effort.
• Develop and maintain Model Context Protocols (MCPs) that securely and reliably connect enterprise systems such as NetSuite, Zuora, and Jira to AI agents, with clear documentation and optimization.
• Create and manage intelligent agents that execute or augment core enterprise processes such as onboarding, billing support, and compliance monitoring using large language models and orchestration frameworks.
• Govern the full lifecycle of MCPs and agents, ensuring adherence to enterprise data governance, privacy, and security standards, including SOX compliance, auditability, and appropriate access controls.
• Measure and optimize impact by defining and tracking KPIs such as automation adoption, efficiency gains, agent accuracy, reliability, and cost performance, and using those insights to guide iteration.
• Enable and influence the organization by partnering with IT, Security, and business stakeholders to build reusable AI frameworks, coach teams on safe and effective AI driven workflows, and champion AI first practices across day to day operations.

Here’s what we're looking for:

• 8+ years in Business Systems Analysis, Enterprise Applications, or Automation roles, with a track record of delivering impact in complex environments.
• Demonstrated experience building and maintaining integrations across systems such as Jira, NetSuite, or similar, with a strong grasp of APIs, JSON, and RESTful service design.
• Hands-on knowledge of AI agent frameworks (for example LangChain, CrewAI, Semantic Kernel, MCP) and experience designing or maintaining Model Context Protocols or equivalent frameworks.
• Familiarity with leading LLM platforms (OpenAI, Anthropic, Gemini etc.) and practical experience with prompt engineering.
• Proficiency in Python or JavaScript for automation, orchestration, and building modular, scalable AI workflows that translate complex requirements into executable solutions.
• Strong documentation, analytical, and stakeholder communication skills, with the ability to clearly explain tradeoffs and align technical solutions with business needs.
• Passion for building secure, compliant, and explainable AI systems, embedding risk, privacy, and compliance considerations (including SOX and audit controls) into every solution, with a growth mindset and focus on clarity, iteration, and measurable outcomes.

Our cash compensation amount for this role is targeted at $150,000-$165,000 /yr in Denver & most remote locations, and $185,000-$205,000 /yr for San Francisco, Seattle & New York. Final offer amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amounts listed above.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

With over half a billion rides and counting, Lyft is solving hard problems at scale, leveraging AI and Machine Learning to better serve our customers. The Artificial Intelligence, Machine Learning, and Operations Research Platforms team (AIMLOR) is seeking a Senior Machine Learning Engineer to focus on building AI Platform components enabling critical AI applications across Lyft. Expertise with GenAI and platform building is a core requirement for this role. In this role, you will contribute to our platform which supports real-time, online, and offline AI and ML model execution, development, and iteration. You will work with a team of highly motivated Machine Learning and Software Engineers on challenging problems, defining solutions to directly impact systems across the entire business.

If you are interested in building an AI Platform at scale, with applications across each facet of the company, we are searching for you.

If you are a creative and critical thinker with experience in AI and machine learning systems, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you.

Responsibilities:

• Contribute to the roadmap and architecture based on technology and business needs
• Write well-crafted, well-tested, readable, maintainable code
• Have a good grasp and ability to explain the various tradeoffs made in decisions
• Participate in code reviews to ensure code quality and distribute knowledge 
• Build features from tech specification to positive execution
• Incorporate considerations for business context and failure modes in your work
• Proactively participate in resolving ongoing incidents 
• Unblock, support, effectively communicate, and obtain buy-in within your team to achieve results
• Share your knowledge by giving brown bags and tech talks

Experience:

• BSc/MSc in Computer Engineering, Computer Science, Machine Learning related field or relevant work experience
• 5+ years of ML engineering experience working in any of these stacks: Python, GO, Java, etc.
• Experience with ML serving/training/deployment infrastructure; familiarity with cloud providers (e.g. AWS, Azure, Google Cloud); familiarity with GenAI ecosystem: LLMs, prompt engineering, MCP, RAG; hands-on experience with LLM fine-tuning techniques and frameworks (e.g. PEFT, LoRA); knowledge on deploying self-hosted LLMs (e.g. Llama, Mistral) for specialized tasks
• Experience with GenAI/LLM infrastructure, agent frameworks (e.g. LangChain, LangGraph); MLOps tooling (MLflow, Airflow)
• Preferred: Experience with AI assisted coding such as Cursor or Claude Code

Benefits:

• Great medical, dental, and vision insurance options with additional programs available when enrolled
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan with company match to help save for your future
• In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Subsidized commuter benefits
• Monthly Lyft credits and complimentary Lyft Pink membership

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the San Francisco area is $162,800 - $203,500, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

With over half a billion rides and counting, Lyft is solving hard problems at scale, leveraging AI and Machine Learning to better serve our customers. The Artificial Intelligence, Machine Learning, and Operations Research Platforms team (AIMLOR) is seeking a Senior Machine Learning Engineer to focus on building AI Platform components enabling critical AI applications across Lyft. Expertise with GenAI and platform building is a core requirement for this role. In this role, you will contribute to our platform which supports real-time, online, and offline AI and ML model execution, development, and iteration. You will work with a team of highly motivated Machine Learning and Software Engineers on challenging problems, defining solutions to directly impact systems across the entire business.

If you are interested in building an AI Platform at scale, with applications across each facet of the company, we are searching for you.

If you are a creative and critical thinker with experience in AI and machine learning systems, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you.

Responsibilities:

• Contribute to the roadmap and architecture based on technology and business needs
• Write well-crafted, well-tested, readable, maintainable code
• Have a good grasp and ability to explain the various tradeoffs made in decisions
• Participate in code reviews to ensure code quality and distribute knowledge 
• Build features from tech specification to positive execution
• Incorporate considerations for business context and failure modes in your work
• Proactively participate in resolving ongoing incidents 
• Unblock, support, effectively communicate, and obtain buy-in within your team to achieve results
• Share your knowledge by giving brown bags and tech talks

Experience:

• BSc/MSc in Computer Engineering, Computer Science, Machine Learning related field or relevant work experience
• 5+ years of ML engineering experience working in any of these stacks: Python, GO, Java, etc.
• Experience with ML serving/training/deployment infrastructure; familiarity with cloud providers (e.g. AWS, Azure, Google Cloud); familiarity with GenAI ecosystem: LLMs, prompt engineering, MCP, RAG; hands-on experience with LLM fine-tuning techniques and frameworks (e.g. PEFT, LoRA); knowledge on deploying self-hosted LLMs (e.g. Llama, Mistral) for specialized tasks
• Experience with GenAI/LLM infrastructure, agent frameworks (e.g. LangChain, LangGraph); MLOps tooling (MLflow, Airflow)
• Preferred: Experience with AI assisted coding such as Cursor or Claude Code

Benefits:

• Great medical, dental, and vision insurance options with additional programs available when enrolled
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan with company match to help save for your future
• In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Subsidized commuter benefits
• Monthly Lyft credits and complimentary Lyft Pink membership

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Seattle area is $149,780 - $187,220, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

At Compass International Holdings (CIH), we connect buyers and sellers with the right agents at the right time. The Lead Nurturing & Engagement team is responsible for keeping leads warm and actionable before they are assigned to an agent — ensuring no qualified lead goes cold due to slow response, lack of follow-up, or poor timing. We own the full pre-CRM nurturing funnel: from the moment a lead enters the system to the moment it is ready to be handed off to an agent.

As a Senior Software Engineer on this team, you will design and build the systems that power automated re-engagement flows, unclaimed lead management, human-assisted concierge experiences via AWS Connect, and lead readiness scoring. Your work directly impacts how many leads convert to closed transactions — making this one of the highest-leverage engineering roles on the Leads platform.

At Compass, You Will: 

• Design and build the pre-CRM nurturing pipeline — automated flows that move leads from cold → warm → hot before agent assignment
• Own and operate the AWS Connect integration — the human-assisted concierge experience that handles complex or high-value leads requiring live engagement
• Build and maintain unclaimed lead management — automated escalation, retry, and re-engagement for leads that have not yet been matched to an agent
• Develop lead readiness scoring — the signals and models that determine when a lead is "hot enough" for agent assignment
• Architect automated nurture sequences across SMS, email, and voice channels, coordinating with our communications platform
• Collaborate with data and ML teams to incorporate behavioral signals and conversion predictions into nurturing decisions
• Operate in a scalable engineering culture that leverages modern principles of decoupled systems and automated CI/CD/testing/monitoring

What We Look For: 

• BS in Computer Science, Software Engineering, or equivalent practical experience
• 7+ years of experience developing comprehensive, well-tested, and high-performance software applications with languages such as NodeJS, Python
• Experience with gRPC, Thrift, and other server-to-server communication protocols
• Experience with Kafka and event-driven systems — particularly for building stateful automation pipelines and re-engagement flows
• 3+ years using AWS / cloud technologies
• High proficiency designing and implementing microservices that are well tested, fault tolerant, and scalable
• Understanding and adherence to industry-standard best practices in software development and architecture
• Believes in good software development requiring thorough testing, robust resiliency features, effective monitoring capabilities, comprehensive documentation, and close collaboration
• Experience with Scrum/Agile development methodologies
• Strong critical thinking skills, great communication skills, and passion for operational excellence

Preferred Qualifications

• AWS Connect or similar experience: Prior experience building on or integrating with AWS Connect, Twilio Flex, Genesys, or similar Contact Center as a Service platforms — including call flows, agent routing, and real-time event handling
• Lead lifecycle and CRM systems: Familiarity with CRM platforms (Salesforce, HubSpot, or similar) and how leads flow through lifecycle stages from first contact to close; ability to design clean ownership boundaries between nurturing and CRM systems
• Engagement automation pipelines: Experience building automated outreach pipelines — nurture sequences, drip campaigns, or re-engagement flows — triggered by behavioral signals across SMS, email, and voice channels
• Lead scoring or ML-based ranking: Experience working with or building scoring models that rank or classify leads by intent, readiness, or conversion probability
• Communication platform integration: Hands-on experience with Twilio, Sinch, Amazon Pinpoint, or similar platforms for programmatic SMS, MMS, email, and voice delivery at scale
• Real estate or proptech domain knowledge: Familiarity with real estate transaction flows, agent-consumer interactions, or lead-to-close lifecycle
• AI agent development: Familiarity with agentic AI frameworks (LangChain, LlamaIndex, AutoGen, or similar) for building autonomous or semi-autonomous workflows — such as AI-assisted concierge routing or automated follow-up decision-making
• AI and LLM integration: Experience integrating large language models (LLMs) or AI APIs (OpenAI, Anthropic, AWS Bedrock) into production systems — particularly for personalizing outreach content, generating dynamic nurture sequences, or powering conversational engagement flows
• Experience with Python or NodeJS development

Compensation: The base pay range for this position is $176,000-$196,100; however, base pay offered may vary depending on job-related knowledge, skills, and experience. Bonuses and restricted stock units may be provided as part of the compensation package, in addition to a full range of benefits. Base pay is based on market location. Minimum wage for the position will always be met.

The Strategic Operations Lead (internally known as the Project Manager, Sales Operations) role serves as a direct extension of the Regional Vice President, acting as a force multiplier to drive execution, alignment, and accountability across the region. You will translate strategy into action and ensure initiatives are implemented effectively in the field. You will partner closely with Sales Managers, Agent Experience (AE), and Marketing Advisors (MA) to ensure regional priorities are executed with consistency and measurable impact. 

Key Responsibilities: 

• Act as the RVP’s right hand in executing regional priorities 
• Translate meetings and strategy into clear action plans with ownership and timelines 
• Track progress and ensure accountability across field teams 
• Identify execution gaps and proactively solve them 
• Lead cross-functional initiatives that drive agent growth and platform adoption 
• Improve operational efficiency and scalability across the region 
• Support the RVP and Director of Operations in regional management and continuous improvement 
• Ensure clear communication and alignment between leadership and field teams 
• Coordinate and implement trainings and field support initiatives 
• Manage priorities and optimize the RVP’s focus on highest-impact work
• Driving cost savings and operational efficiencies across the business  

What We're Looking For:

• 5–10 years in real estate operations, sales leadership, or similar roles 
• Proven ability to execute through others and drive outcomes 
• Real Estate experience preferred but not required 
• High ownership mentality and proactive problem-solving 
• Strong field credibility with sales teams 
• Execution-focused with a bias toward action 
• Structured thinker who can turn ideas into plans 
• Comfortable pushing back and refining strategy 
• Initiatives are executed on time with measurable results 
• Strong alignment and accountability across teams 
• Increased agent productivity and engagement 
• Gaps are identified early and solved quickly  

This position is 100% in office.

Compensation:  

The salary pay range for this position is a base pay of $115,000 – $130,000 annually; however, base pay offered may vary depending on job-related knowledge, skills, and experience. Bonuses and restricted stock units may be provided as part of the compensation package, in addition to a full range of benefits. Base pay is based on market location. Minimum wage for the position will always be met. 

The Regional Operations Lead (internally known as the Project Manager, Sales Operations) role serves as a direct extension of the Regional Vice President, acting as a force multiplier to drive execution, alignment, and accountability across the region. You will translate strategy into action and ensure initiatives are implemented effectively in the field. You will partner closely with Sales Managers, Agent Experience (AE), and Marketing Advisors (MA) to ensure regional priorities are executed with consistency and measurable impact. 

Key Responsibilities: 

• Act as the RVP’s right hand in executing regional priorities 
• Translate meetings and strategy into clear action plans with ownership and timelines 
• Track progress and ensure accountability across field teams 
• Identify execution gaps and proactively solve them 
• Lead cross-functional initiatives that drive agent growth and platform adoption 
• Improve operational efficiency and scalability across the region 
• Support the RVP and Director of Operations in regional management and continuous improvement 
• Ensure clear communication and alignment between leadership and field teams 
• Coordinate and implement trainings and field support initiatives 
• Manage priorities and optimize the RVP’s focus on highest-impact work
• Driving cost savings and operational efficiencies across the business  

What We're Looking For:

• 5–10 years in real estate operations, sales leadership, or similar roles 
• Proven ability to execute through others and drive outcomes 
• Real Estate experience preferred but not required 
• High ownership mentality and proactive problem-solving 
• Strong field credibility with sales teams 
• Execution-focused with a bias toward action 
• Structured thinker who can turn ideas into plans 
• Comfortable pushing back and refining strategy 
• Initiatives are executed on time with measurable results 
• Strong alignment and accountability across teams 
• Increased agent productivity and engagement 
• Gaps are identified early and solved quickly  

This position is 100% in office.

Compensation:  

The salary pay range for this position is a base pay of $115,000 – $130,000 annually; however, base pay offered may vary depending on job-related knowledge, skills, and experience. Bonuses and restricted stock units may be provided as part of the compensation package, in addition to a full range of benefits. Base pay is based on market location. Minimum wage for the position will always be met. 

This role serves as a direct extension of the Regional Vice President, acting as a force multiplier to drive execution, alignment, and accountability across the region. You will translate strategy into action and ensure initiatives are implemented effectively in the field. You will partner closely with Sales Managers, Agent Experience (AE), and Marketing Advisors (MA) to ensure regional priorities are executed with consistency and measurable impact. 

Key Responsibilities: 

• Act as the RVP’s right hand in executing regional priorities 
• Translate meetings and strategy into clear action plans with ownership and timelines 
• Track progress and ensure accountability across field teams 
• Identify execution gaps and proactively solve them 
• Lead cross-functional initiatives that drive agent growth and platform adoption 
• Improve operational efficiency and scalability across the region 
• Support the RVP and Director of Operations in regional management and continuous improvement 
• Ensure clear communication and alignment between leadership and field teams 
• Coordinate and implement trainings and field support initiatives 
• Manage priorities and optimize the RVP’s focus on highest-impact work
• Driving cost savings and operational efficiencies across the business  

What We're Looking For:

• 5–10 years in real estate operations, sales leadership, or similar roles 
• Proven ability to execute through others and drive outcomes 
• Real Estate experience preferred but not required 
• High ownership mentality and proactive problem-solving 
• Strong field credibility with sales teams 
• Execution-focused with a bias toward action 
• Structured thinker who can turn ideas into plans 
• Comfortable pushing back and refining strategy 
• Initiatives are executed on time with measurable results 
• Strong alignment and accountability across teams 
• Increased agent productivity and engagement 
• Gaps are identified early and solved quickly  

This position is 100% in office.

Compensation:  

The salary pay range for this position is a base pay of $115,000 – $130,000 annually; however, base pay offered may vary depending on job-related knowledge, skills, and experience. Bonuses and restricted stock units may be provided as part of the compensation package, in addition to a full range of benefits. Base pay is based on market location. Minimum wage for the position will always be met. 

Role Overview

Gradial is hiring a Forward Deployed Product Manager to help enterprise clients activate our AI platform inside complex marketing technology environments. In this role, you’ll work directly with customers to translate business goals into technical implementations, shaping both product usage and roadmap. You’ll support late-stage sales, lead delivery, and ensure measurable impact post-launch - all while feeding critical insights back into product development.

Responsibilities

• Define integration scope, success criteria, and deployment strategy during late-stage sales cycles
• Lead implementation efforts across CMS, DAM, and workflow automation tools in client environments
• Design and validate agent-powered workflows that streamline content creation, personalization, and publishing
• Act as the voice of the customer with Product and Engineering, translating implementation challenges into roadmap opportunities
• Drive go-live, QA, and UAT processes with clear ownership of time-to-value
• Deliver enablement resources, training, and documentation to support long-term adoption
• Build trusted relationships with client-side marketing and technical stakeholders

Requirements

• 7+ years in product, implementation, or consulting roles within enterprise MarTech
• Deep experience with CMS and DAM systems (e.g., AEM, Contentful, Sitecore) and content workflow tooling
• Proven success deploying technology into complex client environments with multiple stakeholder groups
• Strong product instincts with the ability to scope features and influence roadmap based on real-world usage
• Excellent communication skills; comfortable aligning cross-functional teams around technical decisions
• Willingness to travel for critical client engagements and cross-functional planning

Desirable Attributes

• Background in management consulting, systems integration, or forward-deployed product roles
• Familiarity with AI-based marketing automation and analytics platforms

Compensation 

The salary range for this position is $130,000 – $190,000 annually. Final compensation will be determined based on factors such as experience, skills, and qualifications. In addition to base salary, this role will be eligible for performance-based bonuses and equity awards. Gradial offers a comprehensive benefits package, including medical, dental & vision insurance, 401K retirement plan, paid time off, paid sick leave and other employee wellness programs. 

Role Overview

Gradial is hiring a Forward Deployed Product Manager to help enterprise clients activate our AI platform inside complex marketing technology environments. In this role, you’ll work directly with customers to translate business goals into technical implementations, shaping both product usage and roadmap. You’ll support late-stage sales, lead delivery, and ensure measurable impact post-launch - all while feeding critical insights back into product development.

Responsibilities

• Define integration scope, success criteria, and deployment strategy during late-stage sales cycles
• Lead implementation efforts across CMS, DAM, and workflow automation tools in client environments
• Design and validate agent-powered workflows that streamline content creation, personalization, and publishing
• Act as the voice of the customer with Product and Engineering, translating implementation challenges into roadmap opportunities
• Drive go-live, QA, and UAT processes with clear ownership of time-to-value
• Deliver enablement resources, training, and documentation to support long-term adoption
• Build trusted relationships with client-side marketing and technical stakeholders

Requirements

• 7+ years in product, implementation, or consulting roles within enterprise MarTech
• Deep experience with CMS and DAM systems (e.g., AEM, Contentful, Sitecore) and content workflow tooling
• Proven success deploying technology into complex client environments with multiple stakeholder groups
• Strong product instincts with the ability to scope features and influence roadmap based on real-world usage
• Excellent communication skills; comfortable aligning cross-functional teams around technical decisions
• Willingness to travel for critical client engagements and cross-functional planning

Desirable Attributes

• Background in management consulting, systems integration, or forward-deployed product roles
• Familiarity with AI-based marketing automation and analytics platforms

Compensation 

The salary range for this position is $130,000 – $190,000 annually. Final compensation will be determined based on factors such as experience, skills, and qualifications. In addition to base salary, this role will be eligible for performance-based bonuses and equity awards. Gradial offers a comprehensive benefits package, including medical, dental & vision insurance, 401K retirement plan, paid time off, paid sick leave and other employee wellness programs. 

What We're Looking For

We are looking for a Senior Application Security Engineer to help secure our AI, machine learning, and inference platforms. This is a hands on technical role focused on building security into modern AI infrastructure, inference systems, and developer platforms.

You will work closely with platform engineers, ML engineers, and infrastructure teams to identify risks, design secure architectures, and build security tooling that enables engineers to move quickly and safely.

This role is execution focused. You will drive technical implementation, perform deep security reviews, and help build out our application security capabilities alongside the CISO and engineering leadership.

This role can be based out of one of our office hubs (San Francisco or Seattle) with in-office requirements of at least 2 days per week, plus occasional team/company offsites. We are not able to offer visa sponsorship for this position at this time.

What You’ll Do

Secure AI and Machine Learning Systems

• Perform threat modeling across AI platforms, inference services, and ML pipelines
• Identify risks such as prompt injection, model extraction, adversarial inputs, and data leakage
• Review model serving architectures and inference pipelines
• Partner with ML engineers to secure training, fine tuning, and deployment workflows
• Help design isolation and security controls for multi tenant AI workloads

Application Security Engineering

• Perform architecture and design security reviews
• Conduct targeted code reviews for high risk components
• Identify security gaps in APIs, micro-services, and distributed systems
• Build secure patterns for authentication, authorization, and service to service communication
• Help engineering teams implement secure defaults and guardrails

Inference Platform Security

• Secure customer facing inference APIs and services
• Protect against abuse, model extraction, and adversarial behavior
• Design rate limiting, isolation, and workload protection controls
• Build monitoring and detection for anomalous inference behavior

AI Supply Chain and Model Security

• Evaluate open source models and dependencies
• Secure model artifacts and distribution pipelines
• Implement integrity validation and provenance controls
• Help secure container images and runtime environments

Security Automation and Tooling

• Build security automation for AI and application pipelines
• Integrate security scanning into CI/CD workflows
• Develop tooling to help engineers detect and fix issues early
• Improve developer experience with security guardrails

What You'll Need

Required Experience

• Strong background in application security engineering
• Experience performing threat modeling and architecture reviews
• Experience securing APIs and distributed systems
• Experience working in cloud environments such as AWS, GCP, or Azure
• Experience with containers and Kubernetes
• Strong scripting or programming skills such as Python, Go, or similar
• Experience working closely with engineering teams to implement security improvements

AI and Machine Learning Experience

• Experience securing ML pipelines, inference systems, or data platforms
• Familiarity with risks such as prompt injection, model extraction, and adversarial inputs
• Experience reviewing model serving architectures
• Understanding of training data security and data leakage risks

It's a Strong Plus If You Have

• Red team or offensive security experience
• Experience crafting payloads and evaluating CVEs for exploitability in diverse environments
• Experience with GPU infrastructure or high performance computing
• Experience with Hugging Face, PyTorch, TensorFlow, or similar frameworks
• Experience with LLM systems, RAG pipelines, or agent frameworks
• Experience building security automation pipelines
• Experience securing multi tenant infrastructure

What Success Looks Like

• Security is embedded into AI platform architecture early
• Engineering teams ship quickly with secure defaults
• Inference platforms are resilient against abuse and extraction
• Model pipelines are secure and auditable
• Security tooling scales with engineering growth

Why This Role Matters

This role sits at the intersection of application security, AI infrastructure, and developer platforms. You will help define how we secure modern AI systems while enabling engineers to move quickly and safely.

You will work closely with engineering leadership and the CISO to build practical, scalable security capabilities that support rapid innovation in AI and machine learning.

Compensation

The Role:

We are looking for an experienced Senior Staff Software Engineer to join our Builder Tools engineering organization with a mission to enable SoFi engineers to elegantly solve problems. In this role, you will have the opportunity to directly impact, influence and lead the direction and architecture of our AI-powered software testing experience, and elevate product reliability through testing infrastructure innovations and practices. You will get the chance to lead, define, and take on complex and interesting problems as part of a fast-paced, highly collaborative organization. The ideal candidate will be a mentor, technical leader and a team player who is hands-on and comfortable driving solutions from initial architecture to implementation and adoption with a strong sense of ownership and drive for delivery. 

What You’ll Do:

• Technical leadership - Provide thought leadership for the technical strategy, design, implementation, delivery and operations for AI powered agentic testing (autonomous test generation, execution, failure remediation), and foundational test infrastructure (environment, data generation, multi tenancy). 
• Innovate - Collaborate with cross-functional teams to drive innovation in testing enablement infrastructure, experience and tooling.
• Exemplary Practitioner  - Be a subject matter expert in the testing domain, including outcome KPIs and metrics, and operational excellence. 
• Mentor - Collaborate with engineers in the team, provide mentorship, and domain expertise to enhance the overall technical capabilities of the team..
• Continuous Improvement - Contribute to creating a culture of continuous learning, data-driven decisions and improvements. Proactively identify and manage risks.
• Collaborate – Build strong working relationships with coworkers and cross-organizational teams.
• Influence - Influence and scale the adoption of platforms, tools and best practices across the engineering organization.

What You’ll Need:

• Experience - Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.
• 8+ years software development experience.
• Experience developing in a cloud environment (e.g., AWS), using containers (e.g., Docker, Kubernetes), cloud-native technologies, service meshes (e.g., Istio, Envoy), CI/CD pipelines and automated testing.
• Expertise  -  Deep knowledge of testing practices for micro-services (e.g., multi tenancy, ephemeral test environment, test user and data generation techniques). Deep awareness of testing tools (e.g., Locust, Artillery), frameworks (e.g., Kotest, Mockito) and techniques (e.g., fuzz, property)
• 2+ years of experience using or developing AI tools (e.g., Claude Code, Prompts, Cursor), AI infrastructure (e.g., MCP, RAGs, Vector dbs), agent frameworks (e.g.  Agent SDK, Langchain, Langfuse). 
• Design - Strong understanding of software design principles, and distributed systems architecture.
• Problem solving - Strong problem solving and programming fundamentals (algorithms, data structures).
• Coding Skills - Proven coding skills (e.g., Java, Kotlin, Python) delivering large scale systems with infrastructure automation (e.g., Terraform).
• Project Ownership - Ability to own, manage and deliver projects from scoping through launch. Experience working with Agile development processes. 
• Strong Interpersonal skills - Excellent written and verbal communication skills. Demonstrated ability to collaborate well with technical and non-technical members, and proven skills to operate effectively in a cross-functional team. 

Preferred Qualifications:

• Experience with security, compliance, and risk management in cloud environments.
• Experience with monitoring and logging (e.g. Datadog, Elastic, Coralogix).

• Experience with container orchestration (e.g., Docker, Kubernetes) and networking  

The Role:

We are looking for an experienced Senior Staff Software Engineer to join our Builder Tools engineering organization with a mission to enable SoFi engineers to elegantly solve problems. In this role, you will have the opportunity to directly impact, influence and lead the direction and architecture of our next gen AI-powered SDLC, and elevate developer experience through AI enabled workflows, tooling and practices. You will get the chance to lead, define, and take on complex and interesting problems as part of a fast-paced, highly collaborative organization. The ideal candidate will be a mentor, technical leader and a team player who is hands-on and comfortable driving solutions from initial architecture to implementation and adoption with a strong sense of ownership and drive for delivery. 

What You’ll Do:

• Technical leadership - Provide thought leadership for technical architecture and design, implementation, delivery and operations of AI enabled tools, agents, and workflows across the SDLC including plan, code, test, build, deploy, observe and remediate.
• Innovate - Collaborate with cross-functional teams to drive innovation in developer tooling, and advancements including AI assisted developer productivity flows.
• Exemplary Practitioner  - Be a subject matter expert for one or more developer tooling domains,  including operational excellence. 
• Mentor - Collaborate with engineers in the team, provide mentorship, and domain expertise to enhance the overall technical capabilities of the team..
• Continuous Improvement - Contribute to creating a culture of continuous learning, data-driven decisions and improvements. Proactively identify and manage risks.
• Collaborate –Build strong working relationships with coworkers and cross-organizational teams.
• Influence - Influence and scale the adoption of AI powered SDLC tooling, workflows and best practices across the engineering organization.

What You’ll Need:

• Experience - Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.
• 8+ years software development experience.
• Experience developing in a cloud environment (ex: AWS), using containers (e.g., Docker, Kubernetes), cloud-native technologies, service meshes (e.g., Istio, Envoy), CI/CD and automated testing.
• Expertise -  2+ years of experience in AI tools (e.g., Claude Code, Agent SDK, Prompts, Skills, Cursor), infrastructure (e.g., MCP, AWS Bedrock, RAGs, vector dbs) and agent frameworks (e.g. Langchain, Langgraph, CrewAI)
• Design - Strong understanding of software design principles, and distributed systems architecture.
• Problem solving - Strong problem solving and programming fundamentals (algorithms, data structures).

• Coding Skills - Proven coding skills (e.g., Java, Kotlin, Python) delivering large scale systems with infrastructure automation (e.g., Terraform).
• Project Ownership - Ability to own, manage and deliver projects from scoping through launch. Experience working with Agile development processes. 
• Strong Interpersonal skills - Excellent written and verbal communication skills. Demonstrated ability to collaborate well with technical and non-technical members, and proven skills to operate effectively in a cross-functional team. 

Preferred Qualifications:

• Experience with security, compliance, and risk management in cloud environments.
• Experience with monitoring and logging (e.g. Datadog, Elastic, Splunk).
• Experience with container orchestration (e.g., Docker, Kubernetes) and networking 

The Role

We are looking for an innovative and entrepreneurial Principal Software Engineer to join our Builder Tools engineering organization.  In this role, you will have the opportunity to directly influence, impact and lead the technical strategy and architecture of our next generation internal developer platform in an AI-first SDLC. Your work will elevate developer experience by enabling SoFi engineers with AI enabled development practices and tooling. You will have the opportunity to define and solve challenging problems in a fast-paced, highly collaborative and innovative organization. The ideal candidate will be a thought leader in the Developer Tooling domain, mentor, and team player who is hands-on in driving solutions from inception to implementation, and enabling organizational change and adoption with a strong drive for customer success. 

What You’ll Do:

• Technical leadership - Provide thought leadership for the technical architecture, design, and delivery for AI enabled tools across the SDLC including plan, code, test, build, deploy, observe and remediate.
• Strategic Partnership  - Serve as a key strategic technical advisor to leadership, influencing roadmap, participating in planning sessions, and ensuring alignment with business objectives.
• Innovate - Collaborate with cross-functional teams to drive innovation and advancements in AI assisted developer productivity flows.
• Operational Excellence - Be a subject matter expert, role model practitioner across the developer tooling domain including operational excellence. Drive observability strategy and practices, including SLOs, and guiding teams on critical incident resolution, root-cause analysis and remediation.
• Mentor - Collaborate with engineers across the Platform organization, provide mentorship, and expertise to enhance the overall technical capabilities of teams.
• Continuous Improvement - Contribute to creating a culture of continuous learning, data-driven decisions and improvements. Proactively identify and manage risks.
• Collaborate – Build strong working relationships with coworkers, cross-organizational leaders, including engineering managers and product managers.
• Influence - Be a change agent influencing and scaling the adoption of AI-enabled developer tooling and best practices across the engineering organization.

What You’ll Need:

• Education - Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.
• Experience - 10+ years of professional software development experience, including 2+ years in a technical leadership role. 
• Domain  Expertise -  Expertise in AI tools (e.g., Claude Code, Windsurf, Cursor), infrastructure (e.g., MCP, AWS Bedrock, RAGs, vector dbs) and agent frameworks (e.g. Langchain, Langgraph, CrewAI)
• Technical Expertise - Experience developing in a cloud environment (AWS), using containers (e.g., Docker, Kubernetes), cloud-native technologies and service meshes (e.g., Istio, Envoy). 
• Innovation - Proven track record devising and launching creative solutions to developer experience challenges.
• Design and Problem solving - Strong understanding of software design principles, and distributed systems architecture.
• Coding Skills - Proven proficiency shipping enterprise applications in one or more programming languages (Go, Python, Java, Kotlin, etc.)
• Communication and Collaboration - Exceptional verbal and written communication, with the ability to articulate complex technical concepts to diverse audiences at varying levels, including executives, cross-functional managers, and engineers.
• Project Leadership - Ability to own, manage and deliver complex projects from scoping through launch. Experience leading Agile development practices.
• Security and Compliance (Preferred) - Familiarity with security standards, compliance (SOC2, PCI, HIPAA) and risk management frameworks relevant to financial and regulated industries.

We are seeking a Senior Product Manager to fully own the Commission Plans & Contracts Platform, the systems and services that power contract and commission workflows and enable partner product teams, brokerage, and operations to execute reliably across markets. This role is ideal for a PM ready to own a product end-to-end with minimal guidance, set a 12-month roadmap, drive squad-level goals, and shape a 12–18 month vision in partnership with their manager. You will navigate technical and business complexity, make sound calls on architectural and business trade-offs (including the occasional one-way door), and align stakeholders across Product & Engineering, brokerage, and operations.

A successful candidate is an autonomous operator with strong product judgment who can take ambiguous problem spaces and turn them into clear, well-scoped, sequenced plans. You'll support both staff-facing and agent-facing workflows, with decisions on this platform having far-reaching impact across our broader systems and the experience of the agents and clients who depend on them. You bring structure to complexity, consistently making sound decisions on well-defined problems while driving clarity and alignment in more ambiguous or high-stakes situations. You collaborate across engineering, accounting, brokerage, and operations to turn cross-functional problems into durable solutions. Your work enables teams to operate efficiently and with confidence, with a strong emphasis on accuracy and trust in the data and logic powering critical workflows.

Responsibilities:

• Fully own the Commission Plans & Contracts Platform with minimal guidance, setting direction across discovery, definition, delivery, and iteration.
• Define and own a 12-month roadmap for your squad, translating organizational goals into squad-level goals and gaining alignment with your manager.
• Partner with your manager to define a 12–18 month product vision and own the near-term strategy that gets the squad there.
• Drive squad-level goals end-to-end, making good scope/time/quality trade-off recommendations and gaining alignment when deadlines need to shift.
• Author PRDs for 6–12 month efforts on a single team, covering business rules, edge cases, success metrics, rollout plans, and clear sequencing.
• Autonomously gather and synthesize inputs across LFR, user interviews, surveys, product support meetings, ad-hoc escalations, the feedback forum, key staff stakeholders, and quantitative analysis to inform product decisions.
• Coordinate across other P&E groups as well as brokerage and operations stakeholders to align on dependencies, sequencing, and launch readiness.
• Contribute meaningfully to UX thinking, offering input and feedback that shapes the design direction alongside your design partners.
• Solve medium-complexity problems to unblock the team and accelerate customer impact.
• Communicate proactively with all P&E stakeholders — and, with your manager's support, with business stakeholders — on status, risks, decisions, and trade-offs.
• Improve how your squad operates by identifying and driving process improvements that make the team more efficient.

Qualifications:

• 5+ years of product management experience (or equivalent) building and launching software products, including time spent fully owning a product area.
• Track record of autonomously executing in areas with some ambiguity, medium technical and business complexity, and medium platform risk (including a few one-way doors).
• Experience setting 12-month roadmaps, owning near-term strategy, and contributing to longer-term product vision.
• Strong PRD craft, with clear business rules, edge cases, metrics, and rollout plans.
• Demonstrated ability to drive squad-level goals and make good scope/time/quality trade-offs under real-world delivery pressure.
• Comfort synthesizing qualitative and quantitative inputs autonomously to inform decisions.
• Experience aligning stakeholders across Product & Engineering and adjacent business functions (e.g., operations, brokerage, GTM).
• Consistently sound product judgment on tactical decisions and the maturity to know when to bring controversial or ambiguous calls to your manager.
• Strong written and verbal communication; reliable, proactive, and high follow-through.

Compensation: The salary pay range for this position is $137,400 - $152,700; however, base pay offered may vary depending on job-related knowledge, skills, and experience. Bonuses and restricted stock units may be provided as part of the compensation package, in addition to a full range of benefits. Base pay is based on market location. Minimum wage for the position will always be met.

The Role

We are seeking an experienced engineering leader with a proven track record of building customer-facing AI agents to help us create the next-generation financial guidance experience for 10M+ SoFi members.

This role is central to SoFi’s mission of becoming the most trusted guide in helping members Get Their Money Right. As a Principal Engineer, you will define the architecture and technical strategy for our financial guidance agent and lead its implementation across multiple workstreams.

You will work cross-functionally with engineering, product, data science, design, and business teams to build a scalable AI Agent that delivers personalized, trustworthy, and actionable financial guidance at scale.

What You’ll Do

• Define the technical strategy and architecture for AI Agent for Member, and lead cross-team system design and execution.
• Define the evaluation strategy and lead the implementation of systems and processes to measure, monitor, and improve AI agent quality and reliability.
• Drive quality, reliability, observability, safety and compliance of the AI Agent in a regulated environment.
• Partner closely with product, data science, design, and business leaders to translate product vision into scalable systems
• Mentor senior engineers and technical leads, and elevate engineering excellence across the org

What You’ll Need

• 10+ years of software engineering experience, including 2+ years experience building AI Agents or platforms for millions of users.
• Strong experience in building production AI Agents, including orchestration, evals, retrieval/grounding, and guardrails.
• Strong expertise in system architecture, platform design, and cross-org technical strategy
• Proven ability to lead ambiguous, high-impact initiatives across multiple teams
• A highly hands-on technical leader who leads by example and is willing to roll up your sleeves to design, prototype, and ship critical features in production.
• Excellent communication, stakeholder management, and mentoring skills
• Bachelor’s degree in Computer Science or related field, or equivalent practical experience

About the Role:

As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us!

The Navigator team sits within PitchBook's product organization and is the primary driver of the company's Integrated AI Platform strategy. The team is building the foundational experience layer through which all AI-native workflows will be delivered: a persistent workspace, an agent routing engine, and a growing suite of workflow agents that serve sourcing, portfolio, and research use cases.

We are seeking a product management leader to lead strategy, execution, and the team responsible for Navigator, PitchBook's AI platform experience. This leader owns the product strategy and roadmap — including the conversational interface, agent routing architecture, persistent workspace, and the specialist agents that serve user workflows end to end. You will manage and develop a team of product managers, partner closely with Engineering, Design, Data Science, and Commercial teams, and serve as a key voice in PitchBook's broader AI strategy. This role requires a rare combination of AI product intuition, private markets domain knowledge, and the leadership presence to drive a high-velocity, high-stakes initiative across a large cross-functional organization.

Primary Job Responsibilities:

• Own Navigator product strategy and vision. Define and communicate a compelling multi-quarter vision and roadmap for Navigator's agentic platform — including the conversational interface and various workflow agents
• Lead and grow a high-performing Product Management team. Hire, mentor, and manage a team of product managers, fostering a culture of customer empathy, data-driven decision-making, and continuous improvement. Evaluate Product Manager quality and develop role expectations as the team scales
• Drive delivery of complex and cross-functional roadmaps. Partner with Engineering, AI/ML, Design, and Data leaders to execute against roadmap commitments with speed and quality. Remove blockers, manage dependencies, and maintain clarity and momentum across a large and distributed team
• Define and measure business outcomes. Own clear success metrics for Navigator engagement, retention, and competitive differentiation. Build and interpret performance dashboards, validate impact post-launch, and continuously improve prioritization based on evidence
• Shape PitchBook's AI product narrative. Act as a subject matter expert and internal thought leader for Navigator and agentic AI product strategy. Represent Navigator's direction to across internal and external stakeholders with clarity and conviction
• Drive cross-functional alignment and stakeholder management. Build strong relationships with Commercial, Customer Success, Engineering, and Data leadership. Proactively communicate priorities, manage trade-offs, and maintain trust across a broad set of senior stakeholders
• Contribute to team culture and organizational health. Support the vision and values of the company through role modeling, encouraging desired behaviors, and participating in hiring, onboarding, and team-building efforts
• Support the vision and values of the company through role modeling and encouraging desired behaviors 
• Participate in various company initiatives and projects as requested 

Skills and Qualifications:

• Bachelor’s degree with strong academic performance in Computer Science, Math, Statistics, Finance, Accounting, or related field 
• 8+ years of product management experience within SaaS, enterprise, or cloud-based solutions 
• 4+ years managing or mentoring product managers 
• Strong fluency with data: ability to build dashboards, interpret behavioral analytics, define success metrics, and validate product impact (e.g., Mixpanel, Snowflake, or equivalent)
• Proven ability to define and communicate compelling product vision and roadmaps across multi-quarter and multi-team initiatives
• Excellent communication and narrative skills with the ability to craft and deliver clear, compelling presentations to executive leadership, commercial partners, and engineering teams alike
• Experience leading and developing Product Management teams in fast-paced and high-ambiguity product environments
• Proficiency with the Microsoft Office suite and modern product/collaboration tooling (Jira, Confluence, Figma, etc.)
• Demonstrated track record delivering AI/ML or conversational AI products in B2B SaaS environment
• Understanding of agentic AI system architectures — including LLM orchestration, retrieval-augmented generation, and multi-agent patterns — sufficient to make sound technical trade-offs and credibly partner with engineering leadership
• Passionate about or experienced in private capital markets — including venture capital, private equity, M&A, or related financial services — with an understanding of how dealmakers source, diligence, and monitor investments
• Experience influencing senior leadership through data-driven insights
• Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits + Compensation at PitchBook:

Physical Health            

• Comprehensive health benefits
• Additional medical wellness incentives 
• STD, LTD, AD&D, and life insurance

Emotional Health 

• Paid sabbatical program after four years
• Paid family and paternity leave 
• Annual educational stipend
• Ability to apply for tuition reimbursement
• CFA exam stipend 
• Robust training programs on industry and soft skills 
• Employee assistance program
• Generous allotment of vacation days, sick days, and volunteer days

Social Health 

• Matching gifts program
• Employee resource groups
• Subsidized emergency childcare  
• Dependent Care FSA
• Company-wide events
• Employee referral bonus program  
• Quarterly team building events

Financial Health 

• 401k match
• Shared ownership employee stock program 
• Monthly transportation stipend

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment. 

Compensation

• Annual base salary: $211,000-$240,000
• Target annual bonus percentage: 15%

Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

#LI-MS1

#LI-Onsite

About This Role:

Every month, hundreds of thousands of patients and providers interact with Headway's support systems. Today, most interactions are handled by human agents working across disconnected tools. We believe CX is a product, not just a department — and the right product leader can transform how Headway supports its customers while dramatically improving both satisfaction and cost efficiency.

As Director of Product for CX, you will build Headway's CX product function from the ground up. You'll own the product vision and strategy for how patients and providers get help — from AI-powered self-resolution to context-aware agent tooling to the feedback loops that connect support insights back to the product.

You will:

• Define the vision and strategy for Headway's CX product — spanning AI-powered resolution, agent tooling, proactive engagement, channel strategy, knowledge systems, and the feedback loops that connect support insights back to the product.
• Build and lead a team of product managers focused on reducing cost-to-serve while increasing resolution quality and customer satisfaction.
• Own the AI resolution layer — build the agentic workflows and API integrations that enable the AI agent to actually resolve problems, not just answer questions. Define the autonomy framework: what AI handles without human involvement, what needs guardrails, and what requires a human.
• Build proactive engagement — systems that contact customers before they discover problems. Shift Headway's CX from reactive to proactive.
• Launch and unify all contact channels — email, text, and voice — with intelligent routing that delivers differentiated experiences based on customer context, value, and issue type.
• Own the knowledge and quality layer — machine-readable SOPs, AI evaluation frameworks and crisis escalation pathways.
• Partner deeply with CX Operations to build agent tooling that makes human agents dramatically more effective — AI copilot, full journey context, auto-generated summaries.
• Close the feedback loop: build the system that identifies the highest-impact product defects driving support volume and surfaces them to insurance platform teams for upstream fixes.
• Establish measurement frameworks that connect CX product investments to business outcomes..

You'd Be a Great Fit If...

• You are a product leader with 8+ years of experience, including at least 3 years managing PMs, with a track record of building CX/support products at scale.
• You have a strong point of view on how AI will transform customer support — and you've shipped AI-powered CX products.
• You've launched or scaled multi-channel CX systems and used intelligent routing for personalized experiences.
• You've demonstrated the ability to simultaneously reduce support costs and improve customer satisfaction.
• You thrive at the intersection of product and operations.
• Nice to have: experience in healthcare, insurance, or other industries with complex customer interactions.

Compensation and Benefits:

The expected base pay range for this position is $249,600 - $312,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.

We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.

• Benefits offered include:
• Equity compensation
• Medical, Dental, and Vision coverage
• HSA / FSA
• 401K
• Work-from-Home Stipend
• Therapy Reimbursement
• 16-week parental leave for eligible employees
• Carrot Fertility annual reimbursement and membership
• 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
• Flexible PTO
• Employee Assistance Program (EAP)
• Training and professional development

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.

The Role

The Financial Platform Eng team is part of Block's platform engineering org, with a mandate to run the foundational financial technology infrastructure supporting all our brands. Our charter includes building scalable, reliable, and forward-looking financial infrastructure, from revenue streams to reconciliations to GL to street reporting. This team powers key business functions spanning the CFO org and aids at strategic decision-making.

As a Software Engineer, you'll design and build the backend services, integrations, and workflow engines that keep the foundational financial operations running. Often you will focus on transforming complex financial requirements into scalable technology solutions — with a specific emphasis on AI enablement. We are an AI-driven engineering team — we use agentic coding tools across our entire development lifecycle, from design exploration through implementation and review, and we expect every engineer to do the same.

Success in this role depends on strong collaboration with cross-functional partners including Accounting, FP&A, Tax, Procurement, Product, TPMs, Engineering, and Data teams. The ability to operate across these verticals while maintaining a horizontal architectural perspective is key to our impact.

You Will

• Build financial operations and reporting infrastructure — Design and implement backend services for Accounting, FP&A, Tax, Procurement while keeping the company compliant.
• Lead a platform migration — Architect the migration of business-critical workflows from legacy vendor platforms to Block's internal systems, ensuring zero disruption to agents and customers during cutover
• Design workflow and automation systems — Build configurable workflow engines, rules-based routing, and event-driven automations that reduce manual effort and scale across multiple business lines
• Own integrations end-to-end — Design, build, and maintain integrations between internal platforms and external systems ( middleware, workforce management, Oracle fusion, Salesforce etc) using APIs, event streams, and messaging patterns
• Partner across the business — Work directly with operations, compliance, and product stakeholders to translate complex financial and regulatory requirements into well-architected technical solutions
• Ensure compliance and data integrity — Build systems with audit trails, access controls, and data governance baked in — not bolted on — to meet regulatory requirements across multiple jurisdictions
• Lead technical discussions — Drive architecture decisions, contribute to design reviews, and mentor engineers; raise the bar on code quality, testing, and operational reliability
• Direct AI agents across the full development lifecycle — from prototyping and implementation to debugging and code review — operating as the architect and decision-maker while AI handles the building
• Expand what's possible with AI tooling — identify opportunities to automate repetitive engineering work, improve code quality through AI-driven review, and share effective patterns with your team

You Have

• Embrace an AI-first mentality. Leverage AI to augment your knowledge and capability in navigating development in complex systems with confidence.
• Familiar with agentic engineering.
• 6+ working on complex systems and delivering quality software, with clear expertise developed in one or more technical areas.
• Strong fundamentals in distributed systems design — you've built services that handle high throughput, manage state across systems, and degrade gracefully
• Experience with workflow or state machine systems — you've designed systems where entities move through complex lifecycles with branching logic, SLAs, and human-in-the-loop steps
• Proficiency in building and maintaining APIs and integrations — REST, gRPC, event-driven architectures, and data synchronization across multiple platforms
• Experience working on financially sensitive or regulated systems — you understand why idempotency, audit trails, data retention, and access controls matter and you build for them by default
• Strong collaboration skills and the ability to work effectively with non-technical stakeholders — translating ambiguous business requirements from operations, compliance, and risk teams into well-scoped engineering work

• A growth mindset and comfort navigating open-ended problems where the "right" answer depends on business context that's still evolving.
• Contributed to the growth of fellow engineers through technical leadership, mentoring, and setting engineering standards
• Demonstrated fluency with AI-assisted development tools (e.g., Claude Code, Cursor, GitHub Copilot, or similar agentic coding tools) in real production work — not just familiarity, but regular, effective use
• You stay current on the rapidly evolving landscape of AI tooling and actively experiment with new capabilities as they emerge

• Curiosity that pushes you to find flaws in complex systems and take whatever steps are necessary to fix them.
• Resilience to persevere in complex situations across multiple axes: e.g., scale, uncertainty, and interconnectedness.
• Self-directed and comfortable with ambiguity, with a willingness to publish your reasoning and be wrong publicly—which is essential for thriving in our transparent DRI/IC model

Nice to Have

• Experience with platform migrations — moving business-critical systems between platforms with zero customer impact and phased rollout strategies
• Background in financial services domains — accounting, revenue forecasting, treasury operations, tax operations.
• Experience building multi-tenant or multi-BU platforms — systems that serve different business lines with shared infrastructure but configurable behavior
• Experience with operational analytics — building data pipelines or reporting systems that give operations leaders real-time visibility into performance

Technologies We Use and Teach

• AI-Driven Development: Claude Code, Goose (Block's open-source AI agent), Cursor, GitHub Copilot, Anthropic's Model Context Protocol (MCP)
• Languages: Kotlin, Java, Python, JavaScript
• Protocols: HTTP, JSON, gRPC, Protocol Buffers
• Data: DynamoDB, MySQL, Kafka, Snowflake
• Infrastructure: AWS, Kubernetes
• Observability: DataDog, Prometheus
• Feature Management: LaunchDarkly

The Role 

We’re hiring a Senior Forward Deployed Engineer to lead implementations of our AI platform directly with customers. This role is ideal for an experienced technically fluent builder who thrives at the intersection of engineering and problem solving; someone who wants to be hands-on with code while shaping how some of the world’s most recognizable brands modernize their content operations.

As a Senior FDE, you’ll own full-stack development for enterprise deployments, working side-by-side with customers to map complex workflows into scalable generative systems. You’ll move between discovery, prototyping, implementation, and post-launch optimization - translating real-world pain points into elegant technical solutions.

What You'll Own

• Lead technical discovery and implementation for new enterprise customers, translating nuanced business processes into robust AI-native solutions.
• Build, deploy and optimize features that integrate customer systems with Gradial’s LLM driven platform.
• Develop reusable tools, adapters and configuration layers to support scalable enterprise onboarding.
• Collaborate with customer stakeholders (mainly within marketing, operations and engineering) to define requirements, surface edge cases and iterate in real time.
• Work closely with Gradial’s product and engineer teams to incorporate learnings from the field into our core roadmap.
• Contribute to internal technical documentation and implementation playbooks that accelerate future deployments.
• Own performance, reliability and maintainability for the solutions you ship, from backend architecture to customer UX.

What We're Looking For

• 5+ years of software engineering or technical implementation experience, ideally in customer-facing contexts.
• Experienced in programming languages such as TypeScript or similar, with a strong understanding of APIs and systems integration.
• Ability to rapidly understand unfamiliar technical ecosystems (CMS, DAM, workflow tools) and build integration paths.
• Excellent communication skills. Confident translating for both technical and non-technical stakeholders.
• High ownership mindset with comfort operating independently, navigating ambiguity.
• Demonstrated experience working with enterprise customers; particularly in content, marketing or digital operations.
• Experience with LLMs, generative AI pipelines and agent-style automation frameworks.
• Prior consulting, technical solution engineering or internal tools engineering experience.
• Willingness to travel occasionally (<10%) for customer discovery, deployment and relationship building.

Compensation 

The salary range for this position is $130,000 – $210,000 annually. Final compensation will be determined based on factors such as experience, skills, and qualifications. In addition to base salary, this role may be eligible for performance-based bonuses and equity awards. Gradial offers a comprehensive benefits package, including medical, dental & vision insurance, 401K retirement plan, paid time off, paid sick leave and other employee wellness programs. 

The Role

We’re hiring a Forward Deployed Engineer to lead implementations of our AI platform directly with customers. This role is ideal for a technically fluent builder who thrives at the intersection of engineering and problem solving; someone who wants to be hands-on with code while shaping how some of the world’s most recognizable brands modernize their content operations.

As an FDE, you’ll own full-stack development for enterprise deployments, working side-by-side with customers to map complex workflows into scalable generative systems. You’ll move between discovery, prototyping, implementation, and post-launch optimization - translating real-world pain points into elegant technical solutions.

What You'll Own

• Lead technical discovery and implementation for new enterprise customers, translating nuanced business processes into robust AI-native solutions.
• Build, deploy and optimize features that integrate customer systems with Gradial’s LLM driven platform.
• Develop reusable tools, adapters and configuration layers to support scalable enterprise onboarding.
• Collaborate with customer stakeholders (mainly within marketing, operations and engineering) to define requirements, surface edge cases and iterate in real time.
• Work closely with Gradial’s product and engineer teams to incorporate learnings from the field into our core roadmap.
• Contribute to internal technical documentation and implementation playbooks that accelerate future deployments.
• Own performance, reliability and maintainability for the solutions you ship, from backend architecture to customer UX.

What We're Looking For

• 3+ years of software engineering or technical implementation experience, ideally in customer-facing contexts.
• Proficiency in programming languages such as TypeScript or similar, with a strong understanding of APIs and systems integration.
• Ability to rapidly understand unfamiliar technical ecosystems (CMS, DAM, workflow tools) and build integration paths.
• Excellent communication skills. Confident translating for both technical and non-technical stakeholders.
• High ownership mindset with comfort operating independently, navigating ambiguity.
• Willingness to travel occasionally (<10%) for customer discovery, deployment and relationship building.

Nice to Have

• Experience working with enterprise customers; particularly in content, marketing or digital operations.
• Familiarity with LLMs, generative AI pipelines and agent-style automation frameworks.
• Background in consulting, technical solution engineering or internal tools engineering.

Compensation 

The salary range for this position is $130,000 – $210,000 annually. Final compensation will be determined based on factors such as experience, skills, and qualifications. In addition to base salary, this role may be eligible for performance-based bonuses and equity awards. Gradial offers a comprehensive benefits package, including medical, dental & vision insurance, 401K retirement plan, paid time off, paid sick leave and other employee wellness programs. 

Job Summary

The Director of Forward Deployed Engineering is the executive leader responsible for building and scaling the platform that accelerates Customer Experience Automation (CXA) and Agentic AI deployments across Talkdesk's largest enterprise customers. Rather than solving each customer engagement from scratch, you will lead a high-caliber team of engineers who create the reusable libraries, evaluation systems, and safe deployment infrastructure that make every subsequent implementation faster, more accurate, and increasingly differentiated.

This role requires a unique blend of strategic organizational leadership, deep technical expertise in AI/ML, and a platform-engineering mindset. Your work will feed critical field insights back to the core Product and Engineering teams and directly influence the long-term platform roadmap.

Duties and Responsibilities

• Platform Strategy & Vision: Define and execute the strategy for the FDE platform — a proprietary system of industry-verticalized prompt libraries, integration skills, and automated evaluation suites that accelerate CXA implementations and compound in value over time.

• Operational Excellence: Develop and execute the FDE operational strategy, defining the "golden path" for deployments, ensuring scalability, security, and high performance across all client environments.

• Cross-Functional Bridge: Serve as the primary liaison between Sales, Product Management, and Core Engineering. Advocate for platform capabilities that solve recurring customer pain points and align the field team with the product roadmap.

• Technical Governance: Identify and mitigate complex technical risks across agentic deployments. Ensure the team maintains technical excellence and follows best practices for RAG systems, multi-agent orchestration, API integrations, and secure data architecture.

• Team Development & Mentorship: Hire, manage, and mentor a team of FDEs. Foster a culture of platform thinking, high-stakes problem solving, and continuous learning in the rapidly evolving AI landscape.

• Executive Technical Authority: Act as the ultimate technical escalation point for customers. Build high-trust relationships with customer CTOs and VPs of Engineering during the most critical phases of the deployment lifecycle.
  
  

Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related technical field.
• Experience: Minimum of 9–12 years of experience in software engineering or professional services, including at least 5 years in a significant leadership role (Manager or above) managing customer-facing technical teams.
• AI/ML Domain Expertise: Deep understanding of Agentic AI Architecture, including multi-agent orchestration, prompt engineering, and RAG (Retrieval-Augmented Generation).
• Technical Depth: Strong architectural knowledge of systems integration (APIs, webhooks, message queues) and the ability to review production-grade code in Python, Javascript, or Typescript.
• Field Experience: Proven track record of delivering high-stakes technical projects in complex enterprise environments (e.g., Healthcare, Financial Services, or CCaaS).
• Leadership Skills: Exceptional ability to motivate and grow a team of high-performing, autonomous "hybrid" engineers who excel at both coding and client interaction.
• Strategic Thinking: Demonstrated success in turning one-off customer solutions into scalable, repeatable engineering patterns.
• Communication: Mastery in translating "deep tech" AI concepts into business value for executive stakeholders.

Pay Range (Base Pay):   $260,000 - $409,000

Other Types of Pay: Based on level and role the employee may be eligible for long term incentives in the form of equity and short term incentives of either bonus or commission. 

Health Insurance: Medical, Dental, Vision, Life and Disability Insurance, Employee Assistance Program (EAP).

Retirement Benefits: 401(k) plan

Paid Time Off: Talkdesk offers an uncapped paid time off program for exempt employees and an accrual-based program for non-exempt employees; both are subject to manager approval and consistent with business needs.

Paid Holidays: Talkdesk offers 14 paid holidays each year. 

Paid Sick Leave: Exempt employees have uncapped paid time off and non-exempt sick leave follows accrual standards; both are subject to manager approval and consistent with business needs.

Method of Application: Apply online.

Application Window: The application window is expected to close at least 7 days from the posting date. The application was posted on 04/07/2026.

Benefits and perks listed above may vary based on the nature of your employment with Talkdesk.

All questions or concerns about this posting should be directed to the Talent team at Talent@talkdesk.com.

At Compass International Holdings (CIH), real estate transactions are powered by a complex web of referral programs, franchise relationships, and monetization agreements — each requiring precise attribution and business rule enforcement. The Referral & Monetization team owns the business rules, attribution pipelines, and tracking systems for brokerages’ Real Estate's referral programs, ensuring every referred lead is correctly attributed to the right program, franchise, and fee structure.

As a Senior Software Engineer on this team, you will design and build the systems that power the CIH referral rules engine, franchise lead attribution pipeline, lead monetization model, and the external partner API used by AST broker matching. Your work directly impacts revenue accuracy and the integrity of referral economics across a national franchise network.

At Compass, You Will: 

• Design and build the referral program rules engine — the system that determines which referral program applies to a given lead, based on brokerage, franchise, geography, and agent profile
• Own the franchise lead attribution pipeline — tracking which franchise or brokerage sourced a lead and ensuring accurate revenue attribution across Anywhere's broker network
• Build and evolve the lead monetization model — the set of rules that govern how leads are priced, attributed, and reconciled across programs
• Maintain and extend the broker matching partner API — an external-facing integration used to match consumers with brokers at scale, with high reliability requirements
• Build referral program reporting for brokers — self-serve dashboards and data pipelines that give brokers visibility into their referral performance and attribution
• Design robust, auditable data pipelines that support financial reconciliation and compliance requirements
• Operate in a scalable engineering culture that leverages modern principles of decoupled systems and automated CI/CD/testing/monitoring

What We Look For: 

• BS in Computer Science, Software Engineering, or equivalent practical experience
• 7+ years of experience developing comprehensive, well-tested, and high-performance software applications with languages such as Go, Java
• Experience with gRPC, Thrift, and other server-to-server communication protocols
• Experience with Kafka and event-driven systems — particularly for building reliable, ordered, and auditable data pipelines
• 3+ years using AWS / cloud technologies
• High proficiency designing and implementing microservices that are well tested, fault tolerant, and scalable
• Understanding and adherence to industry-standard best practices in software development and architecture
• Believes in good software development requiring thorough testing, robust resiliency features, effective monitoring capabilities, comprehensive documentation, and close collaboration
• Experience with Scrum/Agile development methodologies
• Strong critical thinking skills, great communication skills, and passion for delivering operational excellence

Preferred Qualifications:

• Rules engine or business logic systems: Experience designing and implementing rules engines, workflow engines, or policy evaluation systems where business rules change frequently and correctness is non-negotiable (e.g. pricing engines, eligibility checkers, entitlement systems)
• Revenue attribution or financial data pipelines: Hands-on experience building attribution systems that track the origin of a transaction across a multi-step funnel — particularly where attribution affects revenue recognition or partner payouts
• Multi-entity or franchise platform experience: Experience building platforms that serve multiple brands, franchises, or regional entities with distinct business rules, while sharing common infrastructure — knowing when to generalize a rule vs. when to fork it
• External partner API development: Experience owning and operating external-facing APIs used by third-party partners or brokers, including versioning, SLA management, reliability engineering, and partner onboarding
• Financial or commission domain knowledge: Familiarity with referral fee structures, commission splits, transaction-level economics, or financial reconciliation workflows — ideally in real estate, insurance, or fintech
• Audit logging and compliance: Experience building systems where every state transition must be auditable and traceable, supporting financial reconciliation and regulatory requirements
• Experience with Python or NodeJS development

Compensation: The base pay range for this position is $176,000-$196,100; however, base pay offered may vary depending on job-related knowledge, skills, and experience. Bonuses and restricted stock units may be provided as part of the compensation package, in addition to a full range of benefits. Base pay is based on market location. Minimum wage for the position will always be met.

We are seeking a Group Product Manager to lead the product team responsible for the strategy and execution of our real estate leads platform—one of the most critical systems connecting high-intent homebuyers and sellers with the right real estate professionals. Sitting at the center of the largest real estate brokerage in the U.S., you will own how demand is captured, matched, and delivered, improving outcomes for both consumers and agents. 

You’ll unify multiple leads products into a single, scalable system that supports all lead sources—from owned sources like Compass.com to strategic partners like Redfin and Rocket Mortgage—serving more than 300,000 real estate professionals. Operating at both a strategic and technical level, you will define our lead platform strategy, deliver roadmaps, drive execution, and shape how agents experience and derive value from our platform—delivering measurable business results while maintaining a seamless and transparent experience for consumers and agents.

This role strongly prefers PM experience on large-scale real estate products.

At Compass you will: 

• Define and drive the product vision, strategy, and roadmap for the lead platform, balancing near-term impact with long-term evolution
• Lead the development and optimization of matching, routing, and distribution systems to improve conversion, efficiency, and revenue
• Leverage data, experimentation, user research, and machine learning to inform product decisions and continuously improve performance
• Using detailed specifications as your foundation, collaborate with engineering and design leaders, driving accountability to ship features that are highly usable, and loved by our agents and staff
• Collaborate with business stakeholders to ensure product investments align with partner success and company priorities
• Work alongside Product peers to deliver intuitive, transparent agent experiences that drive adoption and clearly communicate value
• Translate complex technical systems into clear, actionable strategies that can be understood across technical and non-technical audiences
• Establish clear goals, success metrics, and experimentation frameworks to measure impact and guide prioritization
• Operate as a product leader within the organization, influencing cross-functional teams and driving alignment across multiple stakeholders
• Lead and grow a strong product management team that works with cross functional partners, including engineering, design, product marketing, research, and business strategy

What We Look For:

• 8+ years of experience in product management, with a strong track record of owning and scaling complex platform products
• 3+ years of experience on a product team for a real estate portal or large brokerage with strong online presence strongly preferred, huge plus if in lead generation or delivery
• BS in Business, Economics, Computer Science, Engineering or equivalent. MS or MBA preferred but not required
• Strong technical foundation, with the ability to partner effectively on system design, algorithms, and data flows
• A manager-doer who’s willing to roll up their sleeves and get things done
• Proven ability to use data, experimentation, and user research to inform strategy, prioritize effectively, and drive measurable business outcomes
• Ability to effectively gather and prioritize user requirements from disparate sources, going beyond user requests to get to key needs, and the ability to rationalize across and resolve stakeholder differences
• Strong consensus and relationship-building skills, with experience marshaling resources across different functions of an organization
• Ability to thrive and adapt in a fast-paced, high-growth, and rapidly changing environment, bringing clarity to ambiguity
• Excellent written and verbal communication skills that allows you to influence other teams, create clarity, and drive focus on complex problems

Compensation: The salary pay range for this position is a base pay of $208,500 - $254,900 annually; however, base pay offered may vary depending on job-related knowledge, skills, and experience. Bonuses and restricted stock units may be provided as part of the compensation package, in addition to a full range of benefits. Base pay is based on market location. Minimum wage for the position will always be met. 

The Work

Payers & Outcomes at Headway sits at the intersection of ML, clinical quality, and trust. You’re building the intelligent systems that protect the integrity of our network — spotting risk, surfacing quality signals, and giving providers real-time feedback so they can deliver great care. What you could work on:

• Clinical Feedback: Architect the LLM-powered systems that review clinical documentation at scale and deliver helpful, real-time feedback to providers. Turn a traditionally painful audit process into a coaching experience — and scale it across the entire network.
• Detecting Risk in Healthcare Claims: Design the ML/LLM systems that spot patterns of inappropriate billing, over-utilization, and low-quality care across millions of appointments and claims. Translate those signals into clear feedback for providers and transparent reporting for our insurance partners.
• Measuring & Elevating Clinical Quality: Help build the systems that systematically review every prescriber in our network against clinical quality standards — so we can measure, improve, and defend the quality of care Headway delivers. The stakes are real: our most recent launch reviews clinical notes and nudges providers to put a safety plan in place when a patient shows signs of suicidal risk — a system projected to save roughly 1,000 lives a year.
• Patient Needs & Provider Fit: Crack the “one size fits all” problem. Build ML systems that understand how complex a patient’s needs are and match them to providers best suited to help — so every patient gets the right care and every provider operates at their best.
• Trustworthy AI in Healthcare: Champion how Headway evaluates and iterates on AI systems. Build the evaluation frameworks, optimization loops, and observability that keep LLM-powered features reliable and safe in a regulated environment.
• Technical Foundations & Mentorship: Set the technical bar for the Payers & Outcomes group — ~12 engineers today, growing to 30–50 by end of year. Lay the architectural foundations other teams will build on, and raise the whole group’s engineering craft as it scales.

#LI-BM1

Who we are

Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease, and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working, and playing remarkable - giving us back our most valuable asset, time.

Who you are

Metropolis is seeking a Staff Software Engineer to join our Revenue Platform team. In this role, you will own the technical direction for our billing, payments, and invoicing infrastructure, charting the course for a system that already processes tens of millions in monthly transactions. You will balance immediate business needs with long-term architectural improvements, identifying high-impact enhancements and designing practical migration strategies to support our rapid growth.

As a technical leader, you will partner closely with engineering, finance, and operations teams to solve complex challenges involving pricing rules, subscription billing, and enterprise invoicing. You are a systems thinker who enjoys understanding how things work and building the roadmaps that improve a platform while it runs. Your work will directly shape how Metropolis monetizes its platform and expands into new verticals beyond parking, ensuring our financial systems remain resilient, compliant, and remarkably efficient.

What you’ll do

• Own the technical architecture and evolution of Metropolis's billing, payments, and invoicing systems, establishing standards for financial accuracy, transaction integrity, and compliance that ensure every dollar is correctly captured and accounted for
• Design and implement resilient payment processing with support for multiple payment gateways (Stripe,  etc.), intelligent routing between processors, retry strategies for failed transactions, and graceful handling of partial failures to maximize payment success rates
• Build comprehensive monitoring and reporting for revenue operations, including payment success rates, billing accuracy metrics, reconciliation dashboards, failed transaction alerts, and audit trails that provide visibility from customer transactions to accounting close
• Partner with finance and operations teams on payment failures, billing disputes, refund workflows, and reconciliation issues – building tools and automation that reduce manual intervention and improve mean time to resolution for customer-impacting revenue issues
• Drive adoption of revenue system best practices across services, including idempotent payment processing, distributed transaction handling, compensation workflows for failures, audit logging, and testing strategies that ensure financial correctness
• Own integrations with external systems, including payment gateways, ERP, data analytics, etc., ensuring reliable data flow and maintaining compliance requirements across the revenue stack

What we’re looking for

• 8+ years of hands-on engineering experience with a focus on building revenue systems like payment platforms
• Strong systems thinking for financial correctness with proven ability to design distributed revenue systems that handle edge cases gracefully: partial failures, duplicate requests, timing issues, currency conversion, tax calculation, and maintaining transaction integrity across service boundaries
• Database and financial data expertise, including transaction isolation, audit logging, point-in-time recovery, handling financial data migrations, and experience with systems that require both high availability and absolute correctness
• Payment gateway and integration experience with production knowledge of Stripe, PayPal, or similar processors; tax calculation services; accounting system integrations; and the operational reality of depending on external financial services, including compliance requirements like PCI-DSS
• Excellent technical communication with the ability to influence technical decisions across teams (particularly finance, accounting, and data teams), document complex systems, conduct post-mortems, and establish reliability standards organization-wide
• Experience with sophisticated usage of rapidly developing AI-assisted development skills in real-world codebases, including fluent use of Claude Code/GPT Codex/Windsurf or similar tools in multi-agent mode, spec-driven development (SDD),  MCP/skills optimization, context/prompt engineering
• Local to the Seattle area

While not required, these are a plus

• BS or MS in Computer Science or a relevant engineering discipline
• Expert-level revenue systems engineering with hands-on experience building billing platforms, payment processing pipelines, reconciliation systems, and handling challenges like idempotent transactions, failed payment retries, proration logic, multi-currency support, and revenue recognition – you've seen these problems before and know the patterns that work
• Expert revenue systems engineering with hands-on experience building billing platforms, payment processing, reconciliation, and managing complex challenges like idempotent transactions, payment retries, proration, multi-currency support, and revenue recognition.
• Financial systems expertise with deep experience implementing audit trails, reconciliation workflows, revenue reporting, and compliance controls at scale – you understand what it takes to maintain penny-perfect accuracy
• Java expertise with a deep understanding of JVM performance, concurrency, and operational characteristics. Scala experience is a big plus
• Experience with AI-powered development tools such as Claude Code, GitHub Copilot, or similar agentic coding tools for enhanced productivity

  Our Stack

• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Datastores: MySQL, PostgreSQL, Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub and Claude Code
• Observability: Datadog

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $220,000 USD to $250,000 USD annually. The actual base pay offered is determined by several variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base pay is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more.

Senior Clinical Data Scientist - Applied Intelligence Solutions

Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.

Truveta was born in the Pacific Northwest, but we have employees who live across the country.  Our team enjoys the flexibility of a hybrid model and working from anywhere.  In person attendance is required at least once per year for an onsite meeting. 

For overall team productivity, we optimize meeting hours in the pacific time zone. We avoid scheduling recurring meetings that start after 3pm PT, however, ad hoc meetings occur between 8am-6pm Pacific time. #LI-remote

Who We Need 

Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you. 

This Opportunity 

We are seeking a Senior Clinical Data Scientist to join the Catalysts team, focused on applied intelligence solutions for Truveta.

This role focuses on building the concrete intelligence assets that intelligence uses to solve defined healthcare problems correctly and safely. You will work on concrete problem types such as safety monitoring, cohort feasibility, HEOR analyses, clinical trial workflows, and operational oversight, and be responsible for directly creating the knowledge assets, examples, and guardrails that intelligence uses to support these problems effectively and safely. 

A core part of the role is creating and maintaining practical intelligence assets that intelligence directly uses to support specific, repeatable solutions. These assets are contributed into a shared knowledge base maintained by the broader Catalysts team. 

You will also influence how intelligence consumes and applies knowledge by producing clear, reusable assets that translate complex technical and domain concepts into forms usable by both intelligence systems and non technical stakeholders. 

Out of scope: This role is not focused on model training, infrastructure, or large scale implementation. You are expected to be technically fluent and able to prototype, while deeper execution is handled collaboratively with peers who specialize in speed and scale. 

Responsibilities

• Intelligence solution construction: Independently build small scale, concrete intelligence solutions for specific healthcare problems by creating the required knowledge assets, examples, reference analyses, and guardrails that allow intelligence to answer the right questions and respect clear boundaries, within current platform capabilities.
• Domain problem breakdown: Break down healthcare problems in areas such as clinical research, HEOR, and clinical trials into the concrete assumptions, decision points, and data considerations that intelligence needs to handle correctly.
• Knowledge and guidance definition: Create and maintain the domain knowledge, guidelines, templates, and decision logic that intelligence systems need in order to perform effectively in each problem domain.
• Agent and workflow shaping: Shape how intelligence agents operate at a practical level by defining task breakdowns, decision logic, and required knowledge, working within current platform constraints.
• Knowledge extraction and transformation: Work with domain experts and users to extract assumptions, heuristics, and expertise, and convert them into structured inputs that intelligence systems can reliably consume.
• Generative AI reasoning: Apply an understanding of how generative AI systems retrieve and reason over knowledge to improve correctness, safety, and consistency of intelligence outputs, using concrete examples and test questions.
• Validation and guardrails: Define and validate constraints, exclusions, and limitations to ensure intelligence outputs are appropriate, trustworthy, and aligned with real world healthcare use.
• Collaboration and facilitation: Work closely with colleagues across the Catalysts team, contributing domain expertise, intelligence design, and reusable assets into a shared knowledge base, and collaborating as peers on intelligence solutions rather than owning a separate execution pipeline. 

Required Skills

• Education: Bachelor’s degree or equivalent experience in a quantitative or technical field such as computer science, data science, statistics, engineering, or a related discipline.
• Applied intelligence and LLM expertise: Strong understanding of how large language models consume, retrieve, and reason over knowledge, and how to structure information so it can be used efficiently and reliably by intelligence systems.
• Healthcare domain knowledge: Solid understanding of healthcare problem spaces such as clinical research, HEOR, clinical trials, and healthcare operations, and the types of questions and decisions users need support with.
• Generative AI fluency: Hands on experience using generative AI tools to synthesize, generate, and refine knowledge assets including guidance, templates, prompts, and structured explanations.
• Applied solution design: Ability to design and prototype applied intelligence solutions for specific problem types by combining domain knowledge, templates, prompts, guardrails, and workflows.
• Technical fluency: Comfortable writing and reviewing production quality analysis code (e.g., SQL, Python, or R) to prototype analyses, validate logic, and create reusable examples that intelligence and teammates can reuse. Deep engineering expertise is not required, but hands on technical fluency is expected.
• Knowledge creation and translation: Create clear, reusable intelligence assets by synthesizing expert input or authoring directly, translate technical and domain specific concepts into guidance that is understandable and actionable for a wide range of audiences, and explicitly define exclusions and limitations where intelligence should not provide answers. 

Preferred Qualifications

• Healthcare and EHR exposure: Experience working with healthcare or EHR data, including awareness of common data quality issues, biases, and clinical context.
• Decision support systems: Experience designing, evaluating, or contributing to decision support systems, recommendations, or intelligent assistants.
• Applied research background: Background in product analytics, applied research, or applied machine learning in support of real world decision making.
• Advanced technical depth: Experience building more complex analytical workflows, reusable code libraries, or data products that others rely on, even if this is not the primary focus of the role.
• Knowledge formalization: Experience translating expert knowledge into structured guidance, documentation, schemas, or training materials.
• Teaching and enablement: Teaching, mentoring, or enablement experience with analysts, researchers, or cross functional teams. 

Why Truveta?   

Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. Join us as we build an amazing company together.  

We Offer:

• Interesting and meaningful work for every career stage
• Great benefits package
• Comprehensive benefits with strong medical, dental and vision insurance plans
• 401K plan
• Professional development & training opportunities for continuous learning
• Work/life autonomy via flexible work hours and flexible paid time off
• Generous parental leave
• Regular team activities (virtual and in-person)
• The base pay for this position is $155,000 to $170,000. The pay range reflects the minimum and maximum target. Pay is based on several factors including location and may vary depending on job-related knowledge, skills, and experience. Certain roles are eligible for additional compensation such as incentive pay and stock options.

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

Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don’t meet all of the requirements.

Please note that all applicants must be authorized to work in the United States for any employer as we are unable to sponsor work visas or permits (e.g. F-1 OPT, H1-B) at this time. We appreciate your interest in the position and encourage you to explore future opportunities with us.

The Work

Fullstack at Headway means end-to-end ownership. You're building reliable abstraction layers over a fragmented healthcare system and translating them into seamless, empathetic user experiences. What you could work on:

• Therapist Practice Management: Build a best-in-class platform for Headway therapists to run their businesses. You'll own features from the database schema to the UI, creating intuitive web experiences for scheduling, AI-assisted clinical documentation, and payment management.
• Patient & Provider Engagement: Deepen the relationship between patients and their care. Build the interfaces and APIs that power seamless communication, personalized experiences, and tools that keep patients connected to their providers — and providers focused on what matters most.
• The Modern AI-Enabled Clinical System: Help design and build the systems that manage clinical data. Create high-integrity experiences for treatment plans and progress notes, integrating AI-powered clinical intelligence to give providers their time back.
• Frictionless Onboarding: Turn the historically painful process of insurance credentialing into a sleek, consumer-grade experience. Build products and tooling to get providers in-network and scaling their practice in record time.
• Growing the Network: Own the tools and experiences that expand Headway's reach — from acquiring new providers to empowering existing ones to bring their patients onto the platform. Build the infrastructure that fuels sustainable, high-quality growth.
• Technical foundations: Help the teams see around corners and lay the technical foundations for the future of our product. Build systems, tools, and processes that enable the team to ship innovative products quickly, safely, and reliably.
• Strategic leadership: As a Staff Engineer, you will work with a cross functional leadership team to shape the roadmap and technical strategy for the space.

#LI-BM1

The Work

Fullstack at Headway means end-to-end ownership. You’re building reliable abstraction layers over a fragmented healthcare system and translating them into seamless, empathetic user experiences. What you could work on:

• Therapist Practice Management: Build a best-in-class platform for Headway therapists to run their businesses. You'll own features from the database schema to the UI, creating intuitive web experiences for scheduling, clinical notes, and payment management.
• Patient-First Experiences: We’re moving toward a patient-centric model. Transform the therapist search experience by building the frontend interfaces and backend APIs that power personalized care recommendations, longitudinal data views, and seamless patient-provider matching.
• The Modern AI-enabled Clinical System: Help design and build the interfaces and systems that manage clinical data. Build high-integrity experiences for treatment plans and progress notes, integrating AI-powered clinical intelligence to give providers their time back.
• Frictionless Onboarding: Turn the historically nightmare process of insurance credentialing into a sleek, consumer-grade web experience. Build products and tooling to get providers in-network and scaling their practice in record time.

Our Stack

• Languages: TypeScript, Python 3
• Frontend: React, Remix, Next.js
• Backend & Storage: FastAPI, SQLAlchemy, Postgres, Redis, Snowflake
• Infrastructure: AWS, Temporal, Kafka
• Ops: Datadog, Sentry, PagerDuty
• AI Tools: Cursor, Claude, Gemini, Eddy (our in-house cloud agent harness)

Who You Are

• End-to-End Product Builder: You care just as much about the API architecture as you do the user experience. You seamlessly context-switch between backend logic and frontend state management.
• Owns Outcomes, Not Tasks: You've been handed ambiguous problems and turned them into shipped software. You know how to define the solution, pull in the right people across teams, and keep things moving when priorities shift.
• Sets the Technical Standard: You make technical decisions that optimize for maintainability and scale, not just shipping speed. You proactively improve your team's engineering velocity - whether that's refining tooling, improving automation, or establishing patterns that prevent entire categories of bugs.
• Mentor by Default: You pull engineers into design discussions without being asked. Your code reviews teach, not just gatekeep. You make sure knowledge gets shared across the team, not siloed in one person's head.
• Ships Fast, Iterates Faster: You can move from problem statement to working solution quickly. You'd rather ship a good v1 this week than a perfect v1 next month. Real feedback from therapists and patients is worth more than another round of design review.
• Quick Study in Complex Domains: Healthcare is a maze of payers, regulations, and exceptions. You don't need prior healthcare experience, but you need to be someone who dives into unfamiliar domains and builds a working mental model fast.
• Motivated by Impact: You want your engineering skills applied to problems that matter. Mental healthcare access is broken in America, and you want to be part of fixing it.
• Communicates with Precision: Whether it's a Slack thread, a design doc, or a cross-team meeting, you communicate clearly and concisely. You know that great engineering is wasted if you can't bring people along.
• AI Frontier Tinkerer: You don't just use AI tools - you push their limits. You've experimented with applying LLMs to real workflows, whether that's code generation, operational automation, or developer tooling. You bring a builder's mindset: what can we automate, what should stay human, and how do we ship it responsibly in healthcare?

Our Interview Process

After you apply to Headway, here are some details of what to expect during the interview process.

• Initial screen: You’ll connect with someone in recruiting so you can learn more about the team, Headway’s mission and exciting growth, and we can get a better idea of your background. 
• First round: You'll do a live coding interview with Karat, our technical interviewing partner. It's a great opportunity to showcase your problem-solving skills and learn more about what our engineering team is building.
• Final rounds: You’ll meet several team members for technical and non-technical interviews and leave with a fuller picture of what it’s like to work at Headway.
• References and the Offer: Our favorite part of the process! We'll send over all of the details, including specifics on employee equity, and congratulatory messages from excited future team members!

Compensation & Benefits

• Salary: $168,300 - $237,500 base salary plus a competitive equity package.
• Comprehensive Benefits: Medical, dental, vision, HSA/FSA, 401(k), Carrot Fertility reimbursement, and 16-week parental leave.
• The Mission: We reimburse your therapy and provide a professional development budget. We believe in what we’re building.
• Time Off: 13 holidays, a full week off in December, and flexible PTO.

The Work

Backend at Headway involves high-stakes logic. You’re building a reliable abstraction layer over a fragmented healthcare system. What you could work on:

• The Modern AI-enabled Clinical System: Help design and build the systems that store and manage clinical data. This isn't just a database; it's a high-integrity system for treatment plans, progress notes, patient history, and AI-powered clinical intelligence - from session transcript-to-note generation to automated summaries that give providers their time back.
• The Insurance Billing Engine: We apply AI pragmatically (blog) to reduce administrative burdens for providers and handle the burden of traditional billing workflows. You’ll scale the systems that handle the unique, often nonsensical rules of every major insurance payer to accurately estimate and file claims hundreds of thousands of times per month. 
• Patient-First Infrastructure: We’re moving toward a patient-centric model. Build the backend services that power personalized care recommendations, health tracking, and longitudinal data views as well as innovative user experiences to help patients find a therapist that meets their needs
• Financial Integrity: Work on the ledger systems that ensure 70,000+ providers get paid accurately. This requires building for idempotency and strict consistency in a multi-party marketplace.

Our Stack

• Languages: Python, TypeScript
• Storage: Postgres, Redis, Snowflake
• Infrastructure: AWS, Temporal
• Ops: Datadog, Sentry, PagerDuty
• AI Tools: Cursor, Claude, Gemini, Eddy (our in-house cloud agent harness)

Who You Are

• Owns Outcomes, Not Tasks: You've been handed ambiguous problems and turned them into shipped software. You know how to define the solution, pull in the right people across teams, and keep things moving when priorities shift.
• Sets the Technical Standard: You make technical decisions that optimize for maintainability and scale, not just shipping speed. You proactively improve your team's engineering velocity - whether that's refining tooling, improving automation, or establishing patterns that prevent entire categories of bugs.
• Mentor by Default: You pull engineers into design discussions without being asked. Your code reviews teach, not just gatekeep. You make sure knowledge gets shared across the team, not siloed in one person's head.
• Ships Fast, Iterates Faster: You can move from problem statement to working solution quickly. You'd rather ship a good v1 this week than a perfect v1 next month. Real feedback from therapists and patients is worth more than another round of design review.
• Quick Study in Complex Domains: Healthcare is a maze of payers, regulations, and exceptions. You don't need prior healthcare experience, but you need to be someone who dives into unfamiliar domains and builds a working mental model fast.
• Motivated by Impact: You want your engineering skills applied to problems that matter. Mental healthcare access is broken in America, and you want to be part of fixing it.
• Communicates with Precision: Whether it's a Slack thread, a design doc, or a cross-team meeting, you communicate clearly and concisely. You know that great engineering is wasted if you can't bring people along.
• AI Frontier Tinkerer: You don't just use AI tools - you push their limits. You've experimented with applying LLMs to real workflows, whether that's code generation, operational automation, or developer tooling. You bring a builder's mindset: what can we automate, what should stay human, and how do we ship it responsibly in healthcare?

Our interview process

After you apply to Headway, here are some details of what to expect during the interview process.

• Initial screen: You’ll connect with someone in recruiting so you can learn more about the team, Headway’s mission and exciting growth, and we can get a better idea of your background. 
• First round: You'll meet with an engineer on the team to do some live coding and learn more about the engineering team.
• Final rounds: You’ll meet several more team members for technical and non-technical interviews and leave with a fuller picture of what it’s like to work at Headway.
• References and the Offer: Our favorite part of the process! We'll send over all of the details, including specifics on employee equity, and congratulatory messages from excited future team members!

Compensation & Benefits

• Salary: $168,300 - $237,500 base salary plus a competitive equity package.
• Comprehensive Benefits: Medical, dental, vision, HSA/FSA, 401(k), Carrot Fertility reimbursement, and 16-week parental leave.
• The Mission: We reimburse your therapy and provide a professional development budget. We believe in what we’re building.
• Time Off: 13 holidays, a full week off in December, and flexible PTO.

#LI-BM1

We are currently looking to hire a Residential Security Agent to join our team embedded with our client in Seattle! 

This position requires working onsite in Seattle, WA and follows a 12-hour 4/3 - 3/4 schedule. This is a day or night shift position with shifts from 6pm - 6am or 6am - 6pm depending on client needs. 

JOB DESCRIPTION

The Residential Security Agent (RSA) will serve a critical security function while maintaining a customer service-focused approach. The RSA will act as a member of the client’s residential physical security team providing onsite security services.  The individual will monitor access control systems, support incident management, and coordinate emergency response. 

RESPONSIBILITIES

• Act to support threat management and emergency response and be the first point of contact for client security needs.
• Monitor and manage camera system, access control technology, and other security tools
• Advise and take action addressing unknown visitors, phone calls, and other contacts
• Maintain excellent rapport and open lines of communication regarding client needs, requests for support, service issues, and deliverables.
• Provide a high standard of customer service delivery for clients, guests, and staff
• Ensure client deliverables are met across the full suite of security services
• Proactively communicate with clients regarding risks to personnel, property, or privacy
  
• Ensure completion of any client-required plans, surveys, or reports.  
  
• Assist with customer service issues to ensure a consistently high level of service 
  
• Communicate with co-workers, management, clients, and others in a courteous and professional manner.
  
• Conform with and abide by all regulations, policies, work procedures, and instructions.
  

REQUIRED QUALIFICATIONS

• Must be able to legally work in the country where this position is located without visa sponsorship.
• All required licenses and certification requirements, including:  
  • Licensing/proven training in defensive tactics, de-escalation, first aid/medical response, security guarding, and firearms use.  
  • This is an armed position.  Candidates must be current or retired law enforcement or possess a current Concealed Pistol License (CPL) issued by the Washington State Department of Licensing.
  • Must be eligible to obtain and/or maintain a Washington State Armed Guard Card.
• Must hold or be able to obtain CPR/FA training or higher 
  
• Experience in successful project management, participating in a small team environment 
  
• Operational experience with residential security teams, executive protection details, and/or high-profile corporate security teams.  
  
• A successful track record operating within a high-touch, customer service environment 
  
• Appropriate professional bearing and customer service skills 
  
• Demonstrated computer skills, including Google Suite and MS Office applications.  
  
• Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy 
  
• High ethical standards with proven ability to handle highly confidential and sensitive information, excellent judgment, discretion, and diplomacy 
  
• Excellent written and verbal communication skills, including comfort working with senior leadership 
  
• Skilled in synthesizing facts, concepts, and principles 
  
• Emotional intelligence and a customer-focused approach. 
  

PREFERRED QUALIFICATIONS

• Bachelor’s Degree in a related field or relevant experience
  
• Executive Protection and/or Tactical training preferred
  
• Advanced medical training (EMT, WEMT, WFR, TCCC/TECC)
  
• Current WA state guard card and armed endorsement 
  
• Experience with physical security and alarm systems

COMPENSATION & BENEFITS

• The HSA medical plan covers 100% of the premium for employee-only coverage. The PPO medical plan requires an employee contribution for employee-only coverage. For both plans, Concentric covers a substantial portion of the premium for dependents.
• Concentric also offers an HSA employer contribution
• Medical FSA
• Employer-paid insurance: life, STD, LTD, and AD&D 
• 401 (k) including employer match 
• 7 paid holidays 
• Paid leave (vacation, sick, parental)
• Annual Health & Wellness Benefit
• Pet Insurance
• National discount employee program
• Employee Assistance Program for personal needs
• Credentity Protection - Eclipse Digital Protection by Concentric
• Free access to our Risk Intelligence Dashboard and GEAR App. Providing 24/7 access to trusted risk intelligence and remote support, helping you stay informed, prepared, and protected wherever you operate.
• Dedicated Security and Intelligence Training Programs for Professional Development
• Coaching and Mentoring Opportunities

The Role

Gradial is looking for a Senior Software Engineer to lead the development of AI-native systems that redefine how creative teams build and update websites. As an early engineer, you’ll be integral to figuring out how to use and program LLMs to redefine how people do work. 

You’ll play a key role in shaping our technical direction, working closely with product and design to bring powerful, intuitive tools to life. This is an opportunity to help architect the foundation of a fast-moving product and contribute to a high-agency, low-ego team focused on real-world impact.

What You'll Own

• Lead the design and implementation of systems that convert natural language into intelligent, multi-step workflows using generative AI
• Architect and scale an LLM agent for real-time inference, dynamic prompting, and tool orchestration
• Drive technical direction across the stack - from backend systems to front-end UX—with a focus on performance, scalability, and long-term maintainability
• Design systems that learn over time - integrating customer feedback, usage data, and brand preferences
• Mentor and guide other engineers; influence engineering culture, standards, and best practices
• Collaborate with design and product to reshape the software in real-time; adding/removing features or adjusting layout on the fly
• Ensure scalability, reliability and performance through strong testing, deployment, and observability practices
• Operate without silos: own the problem and the solution from end to end

What We're Looking For

• 5+ years of professional experience
• Proven experience delivering complex systems in fast-paced or ambiguous environments
• Deep technical expertise in algorithms, distributed systems, and software design
• Strong communication skills and the ability to influence across functions
• Experience solving high-variance or unstructured problems with elegant, product-minded solutions
• Background in math, physics, systems engineering, or other technical domains
• High ownership mindset with a track record of going from 0→1

Nice to Have

• Experience in high-growth or early-stage startups
• Familiarity with AI/ML tooling and LLMs
• Proficiency with TypeScript or similar languages

Compensation 

The salary range for this position is $130,000 – $220,000 annually. Final compensation will be determined based on factors such as experience, skills, and qualifications. In addition to base salary, this role may be eligible for performance-based bonuses and equity awards. Gradial offers a comprehensive benefits package, including medical, dental & vision insurance, 401K retirement plan, paid time off, paid sick leave and other employee wellness programs. 

The Role

Gradial is seeking a Principal Software Engineer to drive the architecture and technical vision behind AI-native systems that transform how creative teams build and update websites. As a foundational technical leader, you’ll push the boundaries of how LLMs can power real-world workflows and reimagine the intersection of language, software, and creativity. 

You’ll work closely with engineering, product, and design leaders to shape not just features, but the technical backbone and strategic direction of the company. This is a rare opportunity to set the blueprint for a fast-evolving product in a high-agency, low-ego environment committed to solving hard problems from first principles. 

What You'll Own

• Define and drive the technical architecture for systems that convert natural language into intelligent, multi-step workflows using generative AI. 
• Lead the design, implementation, and scaling of LLM agents for real-time inference, dynamic prompting, memory management, and tool orchestration. 
• Set engineering standards and influence system design across the stack, with a focus on performance, reliability, and long-term extensibility. 
• Design learning systems that integrate customer feedback, usage data, and brand preferences to evolve autonomously over time. 
• Mentor senior engineers, fostering a culture of technical excellence, rapid iteration, and ownership. 
• Collaborate deeply with product and design leaders to rethink how interfaces and features dynamically adapt to user intent. 
• Champion best practices in testing, observability, deployment, and operational excellence to ensure system health at scale. 
• Own critical, ambiguous problem spaces from end to end, advocating for technical and product innovation. 

What We're Looking For

• 8+ years of professional software engineering experience, including significant leadership of complex technical initiatives. 
• Deep expertise in distributed systems, algorithms, and scalable software design. 
• Proven track record architecting and shipping systems in fast-moving, high-ambiguity environments. 
• Hands-on experience with LLM integration, generative AI frameworks, or building AI-native applications. 
• Strong communication and cross-functional leadership skills, with the ability to influence technical and non-technical audiences. 
• High-agency, ownership-driven mindset with a passion for solving real-world problems at scale. 
• Background in technical fields such as computer science, mathematics, physics, or systems engineering. 

Nice to Have

• Experience building or scaling AI agent architectures for production environments. 
• Prior experience in early-stage startups where you owned both strategy and execution. 
• Passion for designing systems that blend technical sophistication with elegant, intuitive user experiences. 

Compensation  

The salary range for this position is $160,000 – $250,000 annually. Final compensation will be determined based on factors such as experience, skills, and qualifications. In addition to base salary, this role may be eligible for performance-based bonuses and equity awards. Gradial offers a comprehensive benefits package, including medical, dental & vision insurance, 401K retirement plan, paid time off, paid sick leave and other employee wellness programs. 

The Role

We’re looking for an Applied AI Engineer to help build the next generation of agentic systems. This role combines deep software engineering skills with an experimental mindset around how AI can be practically applied to solve real user problems.

You’ll collaborate across product, research, and engineering to design agents that reason, interact with environments and evolve through feedback. Ideal candidates bring curiosity, a love of ambiguous problems, and hands-on experience applying LLMs in production.

What You'll Own

• Build autonomous and semi-autonomous agent workflows that interact with browsers, codebases, and APIs to complete complex content operations.
• Evaluate model behavior in live environments and pioneer approaches for applying reinforcement learning to end-to-end agent systems.
• Design modular frameworks for tools, memory, and evaluators to enable continuous learning and improvement of agents.
• Develop data pipelines to collect, transform, and annotate real-world usage data for SFT and RL training.
• Design and build proprietary agent libraries, prompting strategies and benchmarking frameworks.
• Partner with customers and internal stakeholders to understand edge cases and align AI behaviors with user expectations.

What We're Looking For

• 4+ years of software engineering experience, with at least a year working directly on AI/ML-powered applications. 
• Strong fluency in AI tooling (e.g. OpenAI APIs, Anthropic APIs). 
• Practical understanding of LLMs, prompt engineering and agentic architectures.
• Experience building production systems that integrate external environments - code execution, browser automation or API orchestration.
• High degree of ownership and comfort in experimental, fast-moving environments.

Nice to Have

• Familiarity with benchmarks like SWE-bench or evaluation strategies for tool-using agents.
• Exposure to customer-facing roles or user research for AI product development.
• Background in reinforcement learning or data-centric AI approaches.

Compensation

The salary range for this position is $130,000 – $220,000 annually. Final compensation will be determined based on factors such as experience, skills, and qualifications. In addition to base salary, this role may be eligible for performance-based bonuses and equity awards. Gradial offers a comprehensive benefits package, including medical, dental & vision insurance, 401K retirement plan, paid time off, paid sick leave and other employee wellness programs. 

About the Role

Every provider who joins Headway starts with onboarding — a multi-step credentialing process that collects licenses, CAQH data, NPI verification, payer enrollment, and more. Today, only ~20% of qualified providers make it from interest to their first appointment. That gap represents over $100M in unrealized annual revenue and, more importantly, tens of thousands of patients who can't access the care they need.

We're not looking to optimize the existing form. We're looking to replace it. This role will lead the design of an AI-agent-powered onboarding experience that fundamentally reimagines how providers join Headway — transforming a high-friction, multi-page credentialing flow into an intelligent, conversational experience that gets providers credentialed and seeing patients faster than they thought possible.

We're building an AI-first design team at Headway. Designers are expected to use AI tools like Claude, Cursor, and MagicPatterns to prototype and stay involved through launch and iteration directly in code. We're looking for designers who are already working this way and see AI as a primary part of their workflow.

In this role, you will:

• Own the end-to-end provider onboarding experience from lead form submission through credentialing to first appointment. You'll be the design anchor for the Onboarding pod, partnering with PM and Eng to drive the biggest conversion lever in our provider funnel.
• Design AI-agent-powered intake flows that replace manual, multi-page credentialing forms with intelligent interactions. You'll define what agentic onboarding looks like at Headway — new interaction patterns, trust signals, and automation boundaries that don't yet exist in our design system.
• Scale our self-serve onboarding vision beyond v2. We've proven that product-led onboarding can dramatically improve conversion; you'll push this further, enabling providers to go from interest to credentialed with minimal human intervention.
• Start in planning mode, using tools like Claude.ai to clarify the problem space, understand data, and test initial assumptions. Prototype with Claude Code/Cursor and MagicPatterns to build and iterate on flows and IAs. Let AI generate the pixels and code while you define the right patterns, behaviors, and quality. Partner with product & Eng to decide when to move into production.
• Conduct research and talk directly to providers to validate solutions, with the research team's support. Understand why providers get stuck, what builds their confidence, and where automation helps vs. hinders.
• Contribute to the design system and culture, share your AI practice, prompts, and patterns with the design team.

You'll be a great fit if you:

• Have 8+ years of product design experience, with significant time spent on onboarding, activation, or conversion-focused product work
• Have shipped measurable conversion improvements — you think in funnels, know how to diagnose drop-off, and get excited when a design change moves a metric
• Are a systems thinker who can reason about how a form redesign connects to CAQH, NPI, payer credentialing, and downstream provider activation — you design with awareness of the full pipeline
• Have experience designing agentic or AI-powered workflows — conversational flows, intelligent automation, or replacing manual processes with AI-driven experiences (not just chatbots)
• Bring strong visual and interaction design craft — you care deeply about the details and can produce polished, high-quality work at speed
• Are comfortable with AI prototyping tools (Claude Code, Cursor, MagicPatterns) and see them as a core part of how you work
• Want your work to make a meaningful difference in people's lives — this role directly impacts how many providers join Headway and how many patients get access to affordable mental healthcare

Compensation & Benefits:

The expected base pay range for this position is $212,000 - $265,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.

We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.

• Benefits offered include:
• Equity compensation
• Medical, Dental, and Vision coverage
• HSA / FSA
• 401K
• Work-from-Home Stipend
• Therapy Reimbursement
• 16-week parental leave for eligible employees
• Carrot Fertility annual reimbursement and membership
• 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
• Flexible PTO
• Employee Assistance Program (EAP)
• Training and professional development

Software Engineer, Security Engineering

Team: IT, Security, and Corporate Engineering
Location: Seattle, Washington 

About the Role

At Opendoor our goal is to build the biggest, most trusted housing platform and set a new standard for how people move. We've combined our deep, proprietary data and operational expertise with the power of artificial intelligence to make online home selling and buying radically simple.

Our Security Engineering team is building intelligent systems that protect Opendoor and our customers while enabling unprecedented engineering velocity. We apply software engineering and AI to solve security problems across product, infrastructure, and operations by building guardrails where they matter, not gates where they don't.

What You'll Do

• Build systems and AI agents that harden infrastructure, protect sensitive data, and facilitate safe transactions for home acquisition, resale, mortgage, title, and escrow.
• Design workflows and CI/CD pipelines that enable engineers and non-engineers alike to design, build, and ship safely.
• Set new standards and security patterns for AI maximalist engineering and operations.
• Apply deep expertise in threat modeling and risk management to understand and enable complex business operations.
• Mentor engineers and colleagues in security, software engineering, and AI.

Tech Stack

• Languages: Python, Go, Ruby, Terraform
• Corporate Platforms: Okta, AWS, Google Workspace, Slack, Jamf, CrowdStrike
• Engineering: AWS, GitHub, CI/CD pipelines, Infrastructure as Code (Terraform)
• AI Tools: Claude, OpenAI, agent frameworks, workflow automation

What You'll Need

• Deep conviction that AI and automation should eliminate manual work humans shouldn't be doing anyway. You're excited to replace developer toil and reactive firefighting with automated systems and guardrails.
• Business enablement security mindset - measuring security success by business impact, which means informed risk taking.
• 8+ years of software engineering experience with strong skills in Python, Go, or similar languages.
• Expertise in cloud security architecture, Kubernetes, container orchestration, and identity management.
• Humility and genuine curiosity—you're as excited to learn and enable the business and your colleagues as you are to utilize cutting edge tools and techniques in security and AI.

Bonus Points For

• Incident response training and experience.
• M.S. in Computer Science or security-focused graduate work.

Compensation

The base pay range for this position in Seattle is $214,000 - $294,000 USD annually and in Toronto it is $177,000-243,000 CAD, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

#LI-RO

About the Role:

As part of the Product and Engineering team at PitchBook, you'll join a collective of forward-thinkers, creators, and solvers committed to making a significant, positive difference for our customers and our organization every day. We cherish a culture of curiosity and the relentless pursuit of better solutions. Our dedication to understanding and empathizing with our customers guides our efforts to deliver outstanding experiences through innovative products. 

As a Technical Product Manager, AI Enablement, you will own the product direction and execution for the platforms and capabilities that enable AI adoption across the company. You will operate as a force multiplier for Product, Engineering, Research, and Business teams by defining clear product strategy, prioritizing the highest-leverage opportunities, and ensuring AI solutions deliver measurable impact. 

This role focuses on internal platforms, workflows, and enablement patterns that make AI easy, safe, and scalable to use—rather than owning end-user product features. You will translate ambiguous needs into actionable roadmaps, partner deeply with AI Enablement Engineering, and help move successful AI experiments into reusable, production-grade capabilities. 

Your work will directly shape how teams build, ship, and operate with Generative AI and LLMs, accelerating delivery, improving quality, and maximizing the return on AI investments. 

Primary Job Responsibilities:

• Own the product vision and roadmap for AI Enablement platforms, including managed model and tool access, shared context layers, agent frameworks, and enterprise AI workflows 
• Act as a force multiplier for internal teams by identifying where AI can meaningfully reduce friction, increase speed, or unlock new capabilities 
• Partner closely with AI Enablement Engineering to define requirements, priorities, and milestones, ensuring fast and reliable delivery 
• Lead discovery efforts to understand developer, product, and business workflows, translating pain points into high-impact product initiatives 
• Drive alignment across Engineering, Product, Data Science, Security, Legal, and other stakeholders to balance innovation, safety, and scale 
• Ensure successful experiments and prototypes are operationalized into reusable, production-grade capabilities 
• Define standards, patterns, and “golden paths” for AI usage that promote consistency, trust, and ease of adoption 
• Establish clear success metrics tied to adoption, productivity gains, and business outcomes 
• Communicate roadmap, tradeoffs, and progress clearly to executive, technical, and non-technical audiences 
• Champion responsible, secure, and scalable AI usage across the organization 
• Support the vision and values of the company through role modeling and encouraging desired behaviors 
• Participate in various company initiatives and projects as requested 

Skills and Qualifications:

• Bachelor’s degree or equivalent practical experience 
• 3+ years of product management experience, preferably focused on technical platforms, developer tools, or internal products 
• Strong technical acumen with experience working closely with engineering teams on complex systems 
• Familiarity with AI/ML systems, including Generative AI and LLM-based workflows 
• Proven ability to operate in ambiguous problem spaces and translate them into clear product direction 
• Experience prioritizing across competing initiatives using data, user input, and business context 
• Excellent communication and stakeholder management skills across technical and non-technical audiences 
• Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits + Compensation at PitchBook:

Physical Health            

• Comprehensive health benefits
• Additional medical wellness incentives 
• STD, LTD, AD&D, and life insurance

Emotional Health 

• Paid sabbatical program after four years
• Paid family and paternity leave 
• Annual educational stipend
• Ability to apply for tuition reimbursement
• CFA exam stipend 
• Robust training programs on industry and soft skills 
• Employee assistance program
• Generous allotment of vacation days, sick days, and volunteer days

Social Health 

• Matching gifts program
• Employee resource groups
• Subsidized emergency childcare  
• Dependent Care FSA
• Company-wide events
• Employee referral bonus program  
• Quarterly team building events

Financial Health 

• 401k match
• Shared ownership employee stock program 
• Monthly transportation stipend

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment. 

Compensation

• Annual base salary: $140,000-$175,000
• Target annual bonus percentage: 10%

Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

#LI-KL1

#LI-Onsite

About the Role:

As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! 

As an Engineering Manager, AI Enablement in the Technology & Engineering organization, you will lead the team responsible for building and operating the core platforms that enable AI adoption across PitchBook. This role owns the foundational layers that make AI usable, safe, and scalable for product teams, data scientists, and the broader workforce — including managed tool access (MMCP), shared context layers, agent creation and governance, and enterprise AI workflows. Your team acts as a force multiplier, empowering experimentation, capturing high-value wins, and operationalizing them into reusable, production-grade capabilities. This role is critical to PitchBook’s transition into a genuinely AI-enabled organization. 

Primary Job Responsibilities:

• Own and lead the AI Enablement roadmap, including managed tool access, context management, agent creation and governance, and workflow orchestration 
• Partner closely with Engineering, Product, Data Science, Security, and Legal to balance innovation, safety, and scale 
• Build and operate platforms that support: safe experimentation and prototyping, replication and scaling of successful AI patterns, and delivery of prescriptive, production-grade AI solutions 
• Ensure AI platforms provide consistent context, auditability, lineage, and observability across users, agents, and workflows 
• Enable teams to transition from ad-hoc experiments to managed, reusable capabilities 
• Establish standards, best practices, and “golden paths” for AI usage across the organization 
• Serve as a force multiplier by removing roadblocks, improving processes, and enabling rapid iteration 
• Translate complex technical concepts into clear narratives for executive, product, and business stakeholders 
• Foster a culture of psychological safety, experimentation, ownership, and continuous learning 
• Ensure platforms meet high bars for reliability, security, compliance, and operational excellence 
• Support and model PitchBook’s values through leadership and collaboration 
• Support the vision and values of the company through role modeling and encouraging desired behaviors 
• Participate in various company initiatives and projects as requested 

Skills and Qualifications: 

• Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field (or equivalent experience) 
• 3+ years of experience in an engineering leadership role, managing distributed teams 
• 6+ years of experience building and operating platforms or infrastructure that support developers or data practitioners 
• Strong experience enabling AI/ML systems in production, including GenAI and LLM-based systems 
• Experience with AI tooling, orchestration, or agent frameworks (e.g., LangChain, custom agent systems, workflow engines) 
• Deep understanding of cloud-native architectures (AWS and/or GCP), including Kubernetes and Docker 
• Experience designing secure, governed access to data, tools, and services 
• Experience with Python (Java a plus) and building APIs or platform services 
• Strong systems-thinking skills: ability to design platforms that scale across teams and use cases 
• Excellent communication skills, with the ability to engage both deeply technical and non-technical audiences 
• Experience working across multiple engineering and product teams is a plus 
• Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits + Compensation at PitchBook:

Physical Health

• Comprehensive health benefits
• Additional medical wellness incentives
• STD, LTD, AD&D, and life insurance

Emotional Health

• Paid sabbatical program after four years
• Paid family and paternity leave
• Annual educational stipend
• Ability to apply for tuition reimbursement
• CFA exam stipend
• Robust training programs on industry and soft skills
• Employee assistance program
• Generous allotment of vacation days, sick days, and volunteer days

Social Health 

• Matching gifts program
• Employee resource groups
• Subsidized emergency childcare
• Dependent Care FSA
• Company-wide events
• Employee referral bonus program
• Quarterly team building events

Financial Health 

• 401k match
• Shared ownership employee stock program
• Monthly transportation stipend

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.

Compensation

• Annual base salary: $250,000-$300,000
• Target annual bonus percentage: 15%

Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

#LI-KL1

#LI-Onsite

About the Role:

As a Senior Engineering Manager in the Search & Listings (S&L) organization, you will lead a team at the center of a real estate technology platform that simplifies the process of finding, buying, and selling homes. S&L encompasses bringing in property and listing data from hundreds of sources nationwide, cleaning the data and making them accessible across our customer platform, and building rich experiences for agents and consumers to search, track, share, and explore the properties and listings. Our tools are foundational in enabling the entire Compass platform as a place which enables agents to work more efficiently, putting time back in their hands to grow their businesses.

Your role oversees critical products and services which are foundational to our agent workflows, including both the agent and consumer facing real estate search experience. Given its central position within the Compass platform and its integration with numerous core products, this role requires a seasoned manager who maintains the highest operational standards while also being skilled in facilitating essential discussions with stakeholders across various functions and organizations. Your role will involve working on projects that impact the highest priorities of our technology roadmap and the business, as well as responsibility for managing a large infrastructure footprint with excellence in resilience and cost-efficiency, all while collaborating cross-functionally with multiple teams. Engineering managers influence teams outside of their own organization and deliver results that move the needle at the organizational level and impact company-wide goals. You will be responsible for managing a highly talented and energetic set of developers for delivering critical roadmap features. You will help develop and grow a strong and efficient team that can Own, Innovate and Move Fast while building a culture of collaboration and trust. The role will require you to work with Product Managers, Designers and Staff Engineers to identify and deliver the right long term solution for our customers.

You will play a valuable role in setting the north star, standards and operational excellence for the compass platform and engineering team.

Responsibilities:

• Lead, mentor, and grow an organization of talented managers and engineers. 
• Participate in setting the organization’s goals, develop its roadmap with the organization, and represent core Search teams interacting with senior leaders across the company.
• Provide guidance and support in career development, skill enhancement, and performance management for team members.
• Oversee the entire software development lifecycle, from requirements gathering to deployment, ensuring timely delivery of high-quality software solutions.
• Collaborate with cross-functional teams to align technical solutions with business goals.
• Collaborate with the technical team and product management to drive innovation, maintain code quality, and ensure adherence to software development best practices.
• Work closely with senior leadership and other stakeholders to define, execute, and report on the software development strategy in alignment with the company's overall goals.
• Identify and implement process improvements to enhance team efficiency and project delivery.
• Collaborate with other engineering leaders to champion and evangelize a technical vision for engineering at Compass. 
• Be a connector across engineering teams to drive sound technical and architecture decisions that help effectively scale our products, considering short and long-term risks.

Requirements:

• 10+ years of experience in software development and at least 7+ years of which are management experience.
• Bachelor's degree in Computer Science, Engineering, or a related field.
• A highly technical, hands-on technical leader and an effective people manager with experience directly leading teams and other managers.
• Experience in designing, developing, and maintaining web applications, distributed backend systems or data platforms.
• Experience with technologies such as Java, AWS, ElasticSearch, Kafka, AWS, Python, Typescript, React.
• Strong leadership and interpersonal skills with the ability to motivate and inspire a team.
• Proven track record of using agile principles with multiple teams and products to meet project goals and deliver high quality products.
• Excellent communication skills, utilized to collaborate both within Engineering and across all functions of the company to drive engineering initiatives.
• Excellent mentoring and review skills to help engineers make technical and career progress.
• Exceptional focus on customers by building products that are stable and reliable.

Compensation: The base pay range for this position is $167,000-$252,200 annually; however, base pay offered may vary depending on job-related knowledge, skills, and experience. Bonuses and restricted stock units may be provided as part of the compensation package, in addition to a full range of benefits. Base pay is based on market location. Minimum wage for the position will always be met.

Software Engineer, Financial Systems

Team: IT, Security, and Corporate Engineering
Location: Seattle, Washington

About the Role

At Opendoor our goal is to build the biggest, most trusted housing platform and set a new standard for how people move. We've combined our deep, proprietary data and operational expertise with the power of artificial intelligence to make online home selling and buying radically simple.

We are eliminating the manual work that slows down operations.  We’re building AI-driven automation that closes the books faster, eliminates repetitive workflows, and gives Finance teams real-time insights without human intervention.  You’ll architect the systems that power thousands of real estate transactions monthly with audit-ready precision while enabling Finance to move fast and operate efficiently.

What You'll Do

• Build intelligent automation that eliminates manual financial workflows, from journal entries to reconciliations to month-end close processes, using AI agents and workflow orchestration.
• Design and own integrations connecting enterprise resource planning (ERP), spend management, banking, and data warehouse systems that power real-time financial operations.
• Partner with Finance, Procurement, Accounting, Accounts Payable and Capital Markets stakeholders to understand their workflows, identify automation opportunities, and deliver software solutions that increase their speed and efficiency.
• Implement observability, monitoring, and reliability practices for production financial data systems that process millions of transactions daily.
• Apply software engineering best practices (CI/CD, Infrastructure as Code, automated testing, code review) to financial systems traditionally managed through manual configuration.

Tech Stack

• Financial Platforms: NetSuite (ERP), Ramp (spend management), bank APIs
• Data & Analytics: Snowflake, dbt, Airflow/Dagster, Quicksight
• Languages: Python, Go, SQL, TypeScript/Node.js
• Infrastructure: AWS, Terraform, Docker, GitHub Actions
• AI & Automation: LLMs (Claude, OpenAI), agent frameworks, workflow orchestration

What You'll Need

• Deep conviction that AI and automation should eliminate manual work humans shouldn't be doing anyway. You're excited to eliminate manual work by replacing spreadsheets and close processes with automated systems.
• 8+ years of software engineering experience with strong skills in Python, Go, or similar languages, including API design, systems integration, and automation.
• Experience with modern data platforms (Snowflake or similar), SQL, and building reliable data pipelines.
• Strong experience with cloud platforms (AWS preferred) including CI/CD, Infrastructure as Code, and running production services.
• Proven problem-solving ability to understand complex business workflows, identify automation opportunities, and design elegant technical solutions
• Humility and genuine curiosity. You're as excited to automate journal entries as you are to architect distributed systems, and you see eliminating mundane work as deeply meaningful engineering. You genuinely enjoy understanding user needs, partnering with non-technical stakeholders, and building software that makes their work easier.

Bonus Points For

• Experience with financial/ERP systems (NetSuite, Oracle, SAP, Workday) or fintech platforms.
• Understanding of financial concepts (General Ledger, Accounts Payable, month-end close, Sarbanes-Oxley controls).
• Track record building AI-powered automation, workflow orchestration, or internal tools.
• M.S. in Computer Science.

Compensation

The base pay range for this position is $198,000 - $271,000 USD annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

#LI-RO

This position is on-site in Seattle, WA.

Join Lumen Bioscience as a QC Specialist, Microbiology to help establish and perform microbiological quality control testing that supports process development, manufacturing, and product release in an early-stage GMP environment. In this role, you will execute routine and non-routine microbiological assays, including bioburden testing, microbial limits per USP, and environmental monitoring, while helping maintain a compliant QC microbiology lab.

This position is a strong fit for someone who enjoys hands-on lab work and brings solid quality and compliance fundamentals. You will prepare media, reagents, and cultures, document results accurately using Good Documentation Practices, interpret results and trends, and escalate OOS, OOT, or atypical findings. You will also support method qualification and validation, equipment qualification, calibration, and maintenance, and contribute to quality systems by authoring and revising SOPs, test methods, and controlled documents. You will assist with deviation investigations, CAPAs, and change controls as needed, and partner closely with Process Development, Manufacturing, Quality Assurance, and external partners to support lot release and program timelines. If you are detail-oriented, organized, proactive, and comfortable building structure in an evolving environment, with a strong commitment to quality and compliance, we encourage you to apply.

Duties & Responsibilities:

This position requires working under the 21 CFR part 210/211 standard pharmaceutical cGXP quality system processes.

• Microbiology Testing & Analysis
  • Perform routine microbiological assays, including bioburden testing, microbial limits per USP, and environmental monitoring.
  • Conduct adventitious agent screening or support external testing as needed.
  • Prepare media, reagents, and microbiological cultures following SOPs and GMP requirements.
  • Document results accurately in compliance with Good Documentation Practices (GDP).
  • Interpret results, identify trends, and escalate out-of-specification (OOS), out-of-trend (OOT), or atypical findings.
• Quality Systems & Compliance
  • Author and revise SOPs, test methods, and other controlled documents.
  • Support qualification, calibration, and maintenance of microbiology laboratory equipment.
  • Participate in method qualification/validation and QC readiness for GMP manufacturing.
  • Assist with deviation investigations, CAPAs, and change controls as needed.
  • Ensure work is performed in compliance with cGMP, GLP, and company quality policies.
• Environmental Monitoring & Facility Support
  • Perform routine environmental monitoring.
  • Trend EM data and support investigation of excursions.
  • Coordinate sample submission to external contract testing labs when required.
• Cross-Functional Collaboration
  • Work closely with Process Development, Manufacturing, Quality Assurance, and external partners to support lot release and overall program timelines.
  • Provide microbiology subject matter insights to support risk assessments, contamination control strategy, and process improvements.

Qualifications & Requirements:

• Education and Experience:
  • Minimum 6 years of work experience in Quality Control in a regulated (cGXP) organization.
  • -OR- a PhD in biochemistry, microbiology, or related scientific field plus 2 years of hands-on microbiology experience in a pharmaceutical, biotech, or regulated laboratory environment.
  • -OR- a bachelor’s or master’s degree in biochemistry, microbiology or related scientific field plus 5 years of hands-on microbiology experience in a pharmaceutical, biotech, or regulated laboratory environment.
  • Knowledge of relevant cGxP, ISO 9001, and ICH requirements for document control and quality records.
  • Operational experience with PCR-based methods (dPCR preferred; qPCR and RT-PCR helpful).
  • Operational experience with direct ELISA-based methods.
  • Strong leadership and mentoring experience.
• Skills and Attributes:
  • Hands-on, detail-oriented, and organized.
  • Strong communication skills across technical and non-technical teams.
  • Comfortable building structure in ambiguous or evolving environments.
  • Proactive problem-solver who enjoys continuous improvement.
  • High level of integrity and commitment to quality.
  • Experience supporting clinical-stage or commercial GMP operations.
  • Familiarity with method validation, equipment qualification, and QC lab setup.
  • Familiarity with the MSD platform.
  • Experience with regulatory inspections or QA/QC audits.
  • Ability to support weekend or off shift testing as needed in a startup environment.

Physical Requirements:

• Ability to work on-site in Seattle, WA
• Ability to sit/stand for extended periods of time (2 or more hours)
• Occasionally lift or carry up to 23 kg

Benefits at Lumen Bioscience:

• Stock bonus
• Health, Dental, and Vision premiums fully covered by Lumen
• 401k match up to 4%
• Industry-leading PTO policy, paid refresh days, and paid year-end holiday office closure
• Monthly wellness program to support your health and well-being
• Free onsite parking or public transportation subsidies
• Comprehensive parental leave policies
• Life insurance, short & long-term disability, and access to employee assistance programs

At Lumen Bioscience, we foster a workplace built on collaboration, innovation, and professional growth. This role offers a significant opportunity to contribute directly to cutting-edge biotechnology and the advancement of global health solutions.

Join us to shape innovative solutions and drive operational excellence.

Software Engineer, Security Engineering

Team: IT, Security, and Corporate Engineering
Location: Toronto, Ontario

About the Role

At Opendoor our goal is to build the biggest, most trusted housing platform and set a new standard for how people move. We've combined our deep, proprietary data and operational expertise with the power of artificial intelligence to make online home selling and buying radically simple.

Our Security Engineering team is building intelligent systems that protect Opendoor and our customers while enabling unprecedented engineering velocity. We apply software engineering and AI to solve security problems across product, infrastructure, and operations by building guardrails where they matter, not gates where they don't.

What You'll Do

• Build systems and AI agents that harden infrastructure, protect sensitive data, and facilitate safe transactions for home acquisition, resale, mortgage, title, and escrow.
• Design workflows and CI/CD pipelines that enable engineers and non-engineers alike to design, build, and ship safely.
• Set new standards and security patterns for AI maximalist engineering and operations.
• Apply deep expertise in threat modeling and risk management to understand and enable complex business operations.
• Mentor engineers and colleagues in security, software engineering, and AI.

Tech Stack

• Languages: Python, Go, Ruby, Terraform
• Corporate Platforms: Okta, AWS, Google Workspace, Slack, Jamf, CrowdStrike
• Engineering: AWS, GitHub, CI/CD pipelines, Infrastructure as Code (Terraform)
• AI Tools: Claude, OpenAI, agent frameworks, workflow automation

What You'll Need

• Deep conviction that AI and automation should eliminate manual work humans shouldn't be doing anyway. You're excited to replace developer toil and reactive firefighting with automated systems and guardrails.
• Business enablement security mindset - measuring security success by business impact, which means informed risk taking.
• 8+ years of software engineering experience with strong skills in Python, Go, or similar languages.
• Expertise in cloud security architecture, Kubernetes, container orchestration, and identity management.
• Humility and genuine curiosity—you're as excited to learn and enable the business and your colleagues as you are to utilize cutting edge tools and techniques in security and AI.

Bonus Points For

• Incident response training and experience.
• M.S. in Computer Science or security-focused graduate work.

Compensation

The base pay range for this position in Seattle is $214,000 - $294,000 USD annually and in Toronto it is $177,000-243,000 CAD, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

#LI-RO

Role Overview:

We are seeking a part-time Chief Information Security Officer (CISO) to lead TiDB’s global security strategy. This role will be responsible for defining and executing a comprehensive information security, risk management, and compliance program that protects TiDB’s products, infrastructure, customers, and employees.

As CISO, you will partner closely with product, sales, legal, and executive leadership to ensure security is embedded into everything we do — from the core of TiDB to our SaaS/cloud offerings and enterprise engagements.

Responsibilities:

• Proven experience as a CISO or senior security leader in a high-growth B2B SaaS environment.
• Strong understanding of cloud security, DevSecOps, zero trust architectures, and modern compliance frameworks.
• Exceptional communicator with executive presence—comfortable interfacing with CISOs, CIOs, and security decision-makers.
• Experience supporting GTM motions, including joining sales calls, handling due diligence, and presenting to security-conscious enterprise buyers.
• Define, implement, and continuously evolve TiDB’s global information security strategy and roadmap.
• Drive adoption of best practices in application security, data security, and infrastructure hardening.
• Establish and maintain a comprehensive risk management framework aligned with ISO 27001, SOC 2, GDPR, CCPA, and other relevant standards.
• Work with legal and compliance teams to monitor evolving regulations in key markets.
• Engage directly with enterprise customers to build trust in TiDB’s security practices.
• Effectively represent the company through thought leadership, including written contributions and participation in public speaking engagements.
   

Qualifications: