Recorded Future provides intelligence that 1,500+ clients use to defend their people and networks from cybersecurity threats. Our intelligence data provides analytics for many security and risk management needs. This data is derived from technical data, threat actor monitoring, social media, open sources, and other data sources. In this role, your mission is to design, build, and deploy the next generation of AI Agentic systems that process and enrich this intelligence data autonomously.

In this Senior Software Engineer role, you will be a key individual contributor, driving the development of resilient, scalable software systems focused on leveraging Large Language Models (LLMs) and autonomous agents for data processing, analysis, and threat detection. You will be responsible for building sophisticated, production-grade applications that enrich our threat intelligence, and you will mentor junior engineers, fostering technical excellence and best practices.

What You’ll Do:

• Design, develop, and deploy highly reliable and scalable software systems, specializing in AI Agentic tooling and ML applications.
• Serve as a technical leader in the implementation of frameworks and best practices for creating, evaluating, and safely deploying autonomous AI agents in a production environment.
• Collaborate with engineering managers and cross-functional teams to integrate AI Agent solutions across the platform.
• Drive engineering excellence by conducting rigorous code reviews, focusing on code quality, performance optimization, and operational maturity.
• Lead the technical design and architectural discussions for new features and components within the AI Tooling roadmap.
• Manage project tasks through an agile SDLC, ensuring timely delivery and high-quality results.

What You’ll Bring:

• Strong technical background in software engineering, with deep expertise in building and scaling distributed systems.
• Expert-level proficiency in Python and related ecosystem for production AI/ML applications.
• Proven track record as a senior individual contributor, designing and delivering complex software solutions.
• Technical skills with modern cloud platforms (e.g., AWS, GCP, Azure) and engineering workflow tools (e.g., Jira, Git).
• Deep understanding of the AI Agent paradigm, including hands-on experience with LLMs, prompt engineering, agentic loop design, and retrieval-augmented generation (RAG).
• Experience driving coordinated action between cross-functional teams (product, research, stakeholders) working from different locations around the world.
• A pragmatic mindset and a strong focus on delivering measurable, high-impact results.
• A keen curiosity for cybersecurity and finding innovative ways to apply AI Agent technology to keep our clients safe.

The base salary range for this full-time position is $129,000- $193,500. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.

#LI-Remote

Recorded Future provides intelligence that 1,500+ clients use to defend their people and networks from cybersecurity threats. Our intelligence data provides analytics for many security and risk management needs. This data is derived from technical data, threat actor monitoring, social media, open sources, and other data sources. In this role, your mission is to design, build, and deploy the next generation of AI Agentic systems that process and enrich this intelligence data autonomously.

In this Senior Software Engineer role, you will be a key individual contributor, driving the development of resilient, scalable software systems focused on leveraging Large Language Models (LLMs) and autonomous agents for data processing, analysis, and threat detection. You will be responsible for building sophisticated, production-grade applications that enrich our threat intelligence, and you will mentor junior engineers, fostering technical excellence and best practices.

What You’ll Do:

• Design, develop, and deploy highly reliable and scalable software systems, specializing in AI Agentic tooling and ML applications.
• Serve as a technical leader in the implementation of frameworks and best practices for creating, evaluating, and safely deploying autonomous AI agents in a production environment.
• Collaborate with engineering managers and cross-functional teams to integrate AI Agent solutions across the platform.
• Drive engineering excellence by conducting rigorous code reviews, focusing on code quality, performance optimization, and operational maturity.
• Lead the technical design and architectural discussions for new features and components within the AI Tooling roadmap.
• Manage project tasks through an agile SDLC, ensuring timely delivery and high-quality results.

What You’ll Bring:

• Strong technical background in software engineering, with deep expertise in building and scaling distributed systems.
• Expert-level proficiency in Python and related ecosystem for production AI/ML applications.
• Proven track record as a senior individual contributor, designing and delivering complex software solutions.
• Technical skills with modern cloud platforms (e.g., AWS, GCP, Azure) and engineering workflow tools (e.g., Jira, Git).
• Deep understanding of the AI Agent paradigm, including hands-on experience with LLMs, prompt engineering, agentic loop design, and retrieval-augmented generation (RAG).
• Experience driving coordinated action between cross-functional teams (product, research, stakeholders) working from different locations around the world.
• A pragmatic mindset and a strong focus on delivering measurable, high-impact results.
• A keen curiosity for cybersecurity and finding innovative ways to apply AI Agent technology to keep our clients safe.

The base salary range for this full-time position is $129,000- $193,500. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.

#LI-Remote

POSITION SUMMARY:

This role is responsible for various functions within the Private Debt Operations Team. This team member will work closely with the deal and Finance teams in coordinating and executing all aspects of the trade closing process through review of allocations, legal documents, and the flow of funds while executing wire transfers. The role entails working alongside and guiding relationships with Trustees, tracking cash and purchasing power, using a variety of systems to accurately reflect the business’s holdings, and working on daily leverage facility needs while promoting an environment of compliance, efficiency, and accuracy.

The ideal candidate is a self-motivated and detail-oriented team player with strong technical skills able to effectively and concisely complete tasks in a timely manner.

RESPONSIBILITIES:

Loan Servicing:

• Lead daily trade activity by contributing to the settlement of Primary and Secondary trades with counterparties utilizing WSO, ClearPar, and BlackMountain systems
• Interact daily with Portfolio Managers and PD Fund Management Team for allocations and coordination of trade settlements
• Work with senior members of the Operations Team on direct deal closings and transfer projects
• Coordinate with agent banks on a regular basis – resolution of trade discrepancies, timing of trade closing, and KYC
• Work closely with Trustee/Custodians on trade fundings and record keeping while assisting with daily inquiries across holdings
• Record and verify Paydowns/Drawdowns, Interest rate resets, PIK interest calculations, and Delayed Comp accruals/calculations
• Work with the TresVista team in the reconciliation and trade closing processes along with executing upcoming Revolver and Delayed Draw fundings
• Contribute to BMS/WSO system accuracy and items for daily processing

General Operations:

• Assist with new fund onboarding and opening new bank accounts
• Coordinate with Operations, Finance, and Treasury teams on set up, release, and documentation of wires
• Monitor, review, and seek resolution of compliance issues with deal team and compliance groups
• Prepare daily and monthly reports across a variety of Asset Backed Lending, CLO Lite, Line of Credit, and Warehouse facilities for cash borrowing needs, repayments, and reporting requirements
• Monitor cash flow analysis and assist deal team and Finance with capital calls, distributions, and equity contributions
• Assist in developing, implementing and reviewing operational controls, policies, and procedures
• Assist with the audit confirmation and AUP testing procedures

REQUIREMENTS/QUALIFICATIONS:

• BS in Finance, Accounting, Economics, Business Management, or a related major
• At least 5-8 years of professional experience, primary focus on debt products a plus
• Working knowledge of WSO, ClearPar, and BlackMountain a plus
• Advanced knowledge of Excel
• Strong organizational skills with the ability to multitask and prioritize a time sensitive workload
• Strong interpersonal and communication skills

Location: Boston, MA Hybrid

The base salary range for this position is $72,000 - $130,000. The base salary range represents the estimated low and high end for this position at the time of this posting. Consistent with applicable law, compensation may vary and will be determined based on but not limited to, the skills, qualifications, and experience of the applicant along with the requirements of the position, and Audax reserves the right to modify this pay range at any time. An employee may also be eligible for annual discretionary incentive compensation based on performance. 

Audax offers a wide range of employee benefits, including health insurance, life insurance, disability insurance, paid time off (including sick leave, parental leave, volunteer leave, and vacation), charitable donation match, family support services (including Bright Horizons and Benefit Advocate Center), and a 401(k) in addition to other benefits.

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

The Data Platforms Health team builds native platform solutions that enable healthcare-specific platform capabilities. This development role in the Database Platforms department will contribute to AI-based features and workflows within the InterSystems Health Connect Cloud, InterSystems FHIR Server, InterSystems IRIS for Health and InterSystems Health Connect products.

The team needs a developer who can drive AI model and AI architecture design and development for intelligent tooling features for healthcare builders and administrators. The team also needs thought leadership to adopt evolving AI technologies so that InterSystems can be a leader in AI-driven features and workflows.

You are encouraged to apply if this role sounds interesting to you, even if you have doubts about being a competitive candidate. InterSystems prides itself on investing in its team members.

This position is in the InterSystems headquarters in Boston, MA.

Responsibilities

You will design, build, train, and deploy machine learning and agentic AI models, and consume LLMs and custom models using REST APIs. Working with product management and support specialists, you will design and implement data cleansing and feature extraction tools to improve the accuracy of predictions and data generation for a healthcare setting. Your responsibilities will include integrating the models into existing products and refining the models to meet evolving product needs.

All work must follow the team’s development workflow including use of source control, design and code reviews, and clear documentation. You are responsible for the quality of your code and must design automated tests to verify the effectiveness of the models and features.

This role will require you to respond to technical questions about expected product behavior and recommended best practices from support specialists and sales engineers. You will also collaborate with the release engineering team to ensure that your model and tools are appropriately deployed in cloud and on-prem environments.

The technology stack includes Python, AWS Bedrock, ObjectScript, and InterSystems IRIS.

As a leader, you are expected to create project plans with estimates, track execution against the plan, and proactively communicate anticipated delays in the project. With support from your manager, you will coordinate with other teams and overcome blockers and inter-team misalignments to deliver your projects. You will also provide thought leadership in the areas of Gen AI, agentic AI, and other evolving technologies, and encourage other team members to adopt these technologies for the platform.

Qualifications Required

• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
• 8+ years of hands-on professional experience as a software developer or similar. Open to considering less experience in combination with a Graduate degree.
• Experience with data analysis, data cleansing, feature extraction, and model training.
• Experience with Python and common libraries like Pandas, NumPy, and Scikit-learn.
• Experience with model training and evaluation.
• Experience with Agent orchestration and runtime, MCP, tool registration, and multi-model routing.
• Experience with design or consumption of REST APIs.
• Strong verbal and written communication skills.

Preferred Qualifications

• Self-starter with curiosity to experiment and learn, and confidence to challenge the status quo.
• Professional experience with machine learning algorithms like neural networks and LLMs.
• Professional experience with programmatic access of LLMs and/or open-source models.
• Experience with observability of model performance and runtime costs.
• Experience with model governance and design of guardrails for model security.
• Professional experience with deep learning libraries like TensorFlow, PyTorch, or Keras.
• Professional experience with health messaging standards, especially FHIR.
• 3+ years of experience with other programming languages like Java, C#, C++, or ObjectScript.

We are an equal-opportunity employer and do not discriminate because of race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. InterSystems is an E-Verify Employer in the United States.

Principal Product Manager

Location: Boston, MA OR San Francisco, CA (Hybrid – 2 days/week)

About Liberate

Liberate builds AI agents to automate manual tasks for the $2.7T insurance industry. We started with voice — the hardest and most valuable channel in insurance — and are now expanding into full workflow automation across sales, servicing, and claims. Our long-term vision is to build reasoning agents capable of handling the entire spectrum of insurance carrier and broker operations. We've raised $72M to date, including a $50M Series B in October 2025, backed by top-tier venture firms.

About the Role

As the Principal Product Manager, you will be a key leader on the product team, owning major platform domains, driving strategic vision, and enabling the company to scale from early-stage to high-growth enterprise adoption. You will work closely with senior leadership, customers, engineering, design, deployment, and go-to-market teams to define and execute on product strategies that differentiate our AI agent platform in the market and deliver measurable business value.

In this role, you will

• Define the long-range product vision and roadmap for a significant platform pillar of our AI agent offering — guiding ideas from concept through market launch, adoption, iteration, and scale.

• Engage and partner with strategic enterprise customers (including Fortune 500 and high-growth startups) to deeply understand their needs, influence product direction, and secure product/market fit in regulated industries.

• Translate high-level strategy into clear, compelling product requirements and success metrics; work across engineering, design, deployment, and go-to-market to deliver robust, scalable, and enterprise-grade solutions.

• Establish key performance indicators (KPIs) and rigorous measurement frameworks for agent performance, business impact (ROI), compliance, and trust; drive continuous improvement through data-driven insights.

• Serve as the product champion, influencing cross-functional teams and senior stakeholders; articulate trade-offs, ensure alignment, manage dependencies, and escalate appropriately to remove obstacles.

• Mentor and coach other product managers, share best practices, and help build a high-performing product organization as we scale.

Your background looks something like this

• 8+ years of product management experience (or equivalent), with a minimum of 5 years as a PM in enterprise SaaS, AI/ML, or deeply technical domains.

• Proven track record of shipping complex, enterprise-grade, data-driven or AI-driven products (ideally in regulated industries such as insurance, healthcare, or finance).

• Strong technical acumen — you can engage confidently with engineers and architects about APIs, data models, system architecture, integrations, security and compliance requirements.

• Demonstrated ability to think strategically, communicate clearly, and influence senior leaders and stakeholders across functions.

• Comfortable working in fast-paced, high-growth, ambiguous environments and driving clarity, prioritization, and execution.

• Bachelor’s degree in Computer Science, Engineering, Math or related technical field (or equivalent professional experience).

Even better if you have

• Experience with AI/ML platforms, contact center systems, or enterprise integrations at scale.

• Experience with Voice AI

• Prior involvement in a startup or early-stage company that grew rapidly, helping define product direction and scale.

• Familiarity with working in regulated industries (insurance, healthcare, finance) and creating products with trust, transparency, oversight and compliance baked in.

• Master’s degree or additional advanced study in a technical domain (optional, but a plus).

If this aligns with your ambitions and you’re excited to lead at the intersection of AI, enterprise software and regulated market transformation — we’d love to hear from you.

Salary Range: $180,000 to 245,000

Benefits:

• Competitive salary with equity options
• Flexible PTO
• 401(k) plan
• Comprehensive health, dental, and vision insurance coverage
• Collaborative and innovative company culture

Location: Remote

ERGO NEXT's mission is to help entrepreneurs thrive. We’re doing that by building the only technology-led, full-stack provider of small business insurance in the industry, taking on the entire value chain and transforming the customer experience. 

Simply put, wherever you find small businesses, you’ll find ERGO NEXT.

Since 2016, we’ve helped hundreds of thousands of small business customers across the United States get fast, customized and affordable coverage. We’re backed by industry leaders in insurance and tech, and we still have room to grow — that’s where you come in.

What You’ll Do: 

• Create and execute the overall marketing and advertising strategy for the agent channel
• This includes partnering with the insurance team on new product and sector launches
• Working with the marketing teams of our Top 50 national brokers, agency group partners, and wholesalers (where allowed)  to create and deliver co-sponsored marketing campaigns
• Develop performance marketing processes to analyze success of campaigns
• Create and oversee the marketing budget for the agent channel
• Manage and oversee key personnel such as marketing managers, copywriters, graphic designers, and other stakeholders that drive growth in the agent channel.
• This includes providing OKR management, creative direction, creating content or briefs, final approvals, and implementation.
• Manage our convention exhibitor strategy, organizing calendar, logistics, swag purchasing, and more.
• Oversee and manage external advertising strategy, including analyzing results, creating ad copy and assets, collaborating with the Google and Bing SEM teams, and more.
• Create marketing assets for the sales team; including training presentations, flyers, promo videos, and more.
• Oversee our incentive programs, gifts, and promotional gifting 
• Collaborate with PR and social media team for external communications
• Collaborate with other key stakeholders such as product, sectors, and IPM to align their release efforts with our communication and marketing strategy.

What We Need: 

• 5+ years of experience of marketing to independent agents
• Understand how to drive performance marketing campaigns - tracking the success of what we deliver
• Experience managing direct reports and cross functional partners 
• 5+ years of experience managing or overseeing SEM campaigns

Position Summary

We are seeking a Quantitative Analyst with three or more years of experience to help advance our research and investment analytics capabilities, with a particular emphasis on data science. This highly capable person will build and maintain a thoughtful data layer across portfolios, managers, and asset classes, while developing analytical tools and workflows that improve decision-making and efficiency. This is a hybrid role that blends investment domain knowledge with data science and applied AI, offering an opportunity to help shape the evolution of our investment platform.

This role is located in Boston, MA.

Primary Responsibilities

• Partner with senior investment professionals and other colleagues to translate strategic priorities into practical analytical solutions, workflow enhancements, and automation opportunities.
• Support the Investment team in monitoring existing investments and underwriting new opportunities, including internal discussions related to portfolio construction, performance, and risk.
• Build and maintain scalable data pipelines and workflows to support reliable data ingestion, transformation, and quality across investment, portfolio, and client datasets.
• Help develop and enhance the firm’s investment data layer, with a focus on making information more structured, accessible, and actionable across asset classes and investment processes.
• Analyze large and complex datasets to identify trends, behavioral patterns, performance drivers, and other insights that can inform investment decision-making.
• Design, validate, and operationalize analytical models and AI-enabled tools to support areas such as asset allocation, manager research, portfolio monitoring, and risk assessment.
• Maintain strong documentation and adhere to appropriate data governance, control, and compliance standards consistent with industry best practices.

Qualifications

Required

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Finance, or a quantitative field.
• Three or more years of relevant experience in data science, analytics, investment research, or a related role, ideally within financial services, asset management, or wealth management.
• Experience using Git and GitHub for version control, collaborative development, code reviews, and managing production-grade analytical or quantitative applications.
• Strong programming skills with experience building analytical workflows, models, and data pipelines.
• Experience working with modern data infrastructure, including Snowflake or similar environments.
• Solid understanding of financial markets, portfolio construction, investment performance, and risk concepts.
• Excellent communication skills and the ability to explain complex analyses and technical concepts clearly.

Preferred

• Experience with business intelligence and data visualization platforms such as Power BI.
• Familiarity with cloud environments such as AWS, Azure, or GCP.
• Experience applying machine learning or AI tools in production or business workflows.
• Experience with agentic workflows using tools such as Copilot Studio or Claude.
• Familiarity with modern LLM ecosystems and related concepts such as retrieval-augmented generation (RAG), vector databases, agent frameworks, or tool/function calling.
• Exposure to investment manager research, underwriting, or portfolio analytics is a plus.

This position is an exempt position. The annualized base pay range for this role is expected to be between $150,000–$250,000 base salary compensation range. Actual base pay may vary based on factors including, but not limited to, experience, subject matter expertise, geographic location where work will be performed, and the applicant’s skill set. The base pay is just one component of the total compensation package. Other rewards may include an annual cash bonus and a comprehensive benefits package, including but not limited to medical, dental, vision, life insurance, and 401(k). Please note that the job title is subject to change based on the selected candidate’s experience and education.

SCS is a fiduciary wealth and investment management firm serving some of the world’s most ambitious wealth creators — ultra‑high‑net‑worth individuals, families, and institutions. SCS exists to transform wealth into possibility, helping its clients protect and amplify their capital, align it with their purpose, and build multi‑generational legacies.

SCS delivers an integrated family office and investment platform that brings together sophisticated multi‑asset class portfolio management, access to private investments, holistic wealth and estate planning, next‑generation education, and purpose‑driven advisory. SCS’s team is supported by a modern, scalable technology infrastructure that enhances SCS’s ability to deliver a seamless, proactive, white‑glove client experience.

SCS is part of Focus Financial Partners, a leading financial services firm comprised of wealth management, family office, and business management services.

#LI-SF1

Position Summary

We are seeking a Quantitative Analyst with three or more years of experience to help advance our research and investment analytics capabilities, with a particular emphasis on data science. This highly capable person will build and maintain a thoughtful data layer across portfolios, managers, and asset classes, while developing analytical tools and workflows that improve decision-making and efficiency. This is a hybrid role that blends investment domain knowledge with data science and applied AI, offering an opportunity to help shape the evolution of our investment platform.

This role is located in Boston, MA.

Primary Responsibilities

• Partner with senior investment professionals and other colleagues to translate strategic priorities into practical analytical solutions, workflow enhancements, and automation opportunities.
• Support the Investment team in monitoring existing investments and underwriting new opportunities, including internal discussions related to portfolio construction, performance, and risk.
• Build and maintain scalable data pipelines and workflows to support reliable data ingestion, transformation, and quality across investment, portfolio, and client datasets.
• Help develop and enhance the firm’s investment data layer, with a focus on making information more structured, accessible, and actionable across asset classes and investment processes.
• Analyze large and complex datasets to identify trends, behavioral patterns, performance drivers, and other insights that can inform investment decision-making.
• Design, validate, and operationalize analytical models and AI-enabled tools to support areas such as asset allocation, manager research, portfolio monitoring, and risk assessment.
• Maintain strong documentation and adhere to appropriate data governance, control, and compliance standards consistent with industry best practices.

Qualifications

Required

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Finance, or a quantitative field.
• Three or more years of relevant experience in data science, analytics, investment research, or a related role, ideally within financial services, asset management, or wealth management.
• Experience using Git and GitHub for version control, collaborative development, code reviews, and managing production-grade analytical or quantitative applications.
• Strong programming skills with experience building analytical workflows, models, and data pipelines.
• Experience working with modern data infrastructure, including Snowflake or similar environments.
• Solid understanding of financial markets, portfolio construction, investment performance, and risk concepts.
• Excellent communication skills and the ability to explain complex analyses and technical concepts clearly.

Preferred

• Experience with business intelligence and data visualization platforms such as Power BI.
• Familiarity with cloud environments such as AWS, Azure, or GCP.
• Experience applying machine learning or AI tools in production or business workflows.
• Experience with agentic workflows using tools such as Copilot Studio or Claude.
• Familiarity with modern LLM ecosystems and related concepts such as retrieval-augmented generation (RAG), vector databases, agent frameworks, or tool/function calling.
• Exposure to investment manager research, underwriting, or portfolio analytics is a plus.

This position is an exempt position. The annualized base pay range for this role is expected to be between $150,000–$250,000 base salary compensation range. Actual base pay may vary based on factors including, but not limited to, experience, subject matter expertise, geographic location where work will be performed, and the applicant’s skill set. The base pay is just one component of the total compensation package. Other rewards may include an annual cash bonus and a comprehensive benefits package, including but not limited to medical, dental, vision, life insurance, and 401(k). Please note that the job title is subject to change based on the selected candidate’s experience and education.

#LI-SF1

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 Python or NodeJS 
• 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.

• This is a fully onsite role and will report Boston Office (Newbury St.)
• • With that being said, you will spend a significant portion of your time meeting clients and prospects in the field.
  • While your administrative and team collaboration tasks will take place at our office, your primary focus will be building relationships and driving revenue through in-person interactions.
• Our Strategic Growth team is the face of the company and the engine of our market expansion. As a Strategic Growth Manager, you are directly responsible for driving net-new revenue.
• In its simplest form, the SGM’s role is to bring top producing agents to Compass by effectively selling the Compass value proposition (technology, marketing, culture and growth). Successful SGMs influence top agents to leave their current brokerage and join Compass. Since every agent is an independent contractor they can take their business wherever they receive the best value and support.
• The refreshing part of this sale is that you are working directly with decision-makers, thus eliminating many of the hassles of selling to large corporations.

METRICS

• This is a quota carrying role. Your quota per quarter is metric’d by the amount of Gross Commission Income (GCI) you successfully bring to Compass. GCI is a way to quantify an agent and equates to the amount of commission an agent’s produced in the prior 12 month period. Our deal size is anywhere from $200k - $3M+, with an average time to close at about 30 days.
• You can meet quota each quarter by bringing on a number of individual agents or large agent teams. Your quota is based on the prior 12 months performance of that agent or team. It is not contingent upon their future production once at Compass.
• You are tasked with helping agents understand why their business, and their clients, will benefit by moving to Compass.

NUANCES

• This is a more humanized sale than your average sales process as you are dealing directly with decision makers. You can think of every agent as the CEO of their own business - with that comes a heightened degree of empathy needed to be successful in the sale, but also the ability for quick decisions.
• Think about a top producing agent who’s been with a brokerage for 15+ years. Their personal and professional identity is often wrapped up in that brokerage’s brand. Successfully decoupling an agent from their prior brokerage takes outstanding patience, listening, agility and ultimate focus to get the deal done.
• The equally demanding need for high IQ and EQ in this role has resulted in an incredibly high performing and driven team of diverse backgrounds such as investment banking, management consulting, law and enterprise sales.
• By virtue of the space we are operating in, the talent on the team and the incredible momentum in our business, we are seeing our SGM’s conservatively generate 15x more revenue per head than the top tech firms in the world.

QUALIFICATIONS

• B.A. or B.S. with 5+ years of relevant experience
• Strong interpersonal skills, glass-half-full mentality
• Self-starter attitude and ability to exercise judgment and solve difficult problems without direct supervision
• Excellent communication skills; ability to effectively lead client meetings and presentations
• Highly organized; ability to multi-task and handle multiple deadlines simultaneously
• Track record of excellence across strategic, operational, and detail-demanding functional responsibilities

The base pay range for this position is $100,000-$110,000 annually, with a potential bonus target of $30,000-$60,000 and the potential for upside based on performance; however, pay offered may vary depending on job-related knowledge, skills, and experience. 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 is a fully onsite role and will report Boston Office (Newbury St.)
• • With that being said, you will spend a significant portion of your time meeting clients and prospects in the field.
  • While your administrative and team collaboration tasks will take place at our office, your primary focus will be building relationships and driving revenue through in-person interactions.
• Our Strategic Growth team is the face of the company and the engine of our market expansion. As a Strategic Growth Manager, you are directly responsible for driving net-new revenue.
• In its simplest form, the SGM’s role is to bring top producing agents to Compass by effectively selling the Compass value proposition (technology, marketing, culture and growth). Successful SGMs influence top agents to leave their current brokerage and join Compass. Since every agent is an independent contractor they can take their business wherever they receive the best value and support.
• The refreshing part of this sale is that you are working directly with decision-makers, thus eliminating many of the hassles of selling to large corporations.

METRICS

• This is a quota carrying role. Your quota per quarter is metric’d by the amount of Gross Commission Income (GCI) you successfully bring to Compass. GCI is a way to quantify an agent and equates to the amount of commission an agent’s produced in the prior 12 month period. Our deal size is anywhere from $200k - $3M+, with an average time to close at about 30 days.
• You can meet quota each quarter by bringing on a number of individual agents or large agent teams. Your quota is based on the prior 12 months performance of that agent or team. It is not contingent upon their future production once at Compass.
• You are tasked with helping agents understand why their business, and their clients, will benefit by moving to Compass.

NUANCES

• This is a more humanized sale than your average sales process as you are dealing directly with decision makers. You can think of every agent as the CEO of their own business - with that comes a heightened degree of empathy needed to be successful in the sale, but also the ability for quick decisions.
• Think about a top producing agent who’s been with a brokerage for 15+ years. Their personal and professional identity is often wrapped up in that brokerage’s brand. Successfully decoupling an agent from their prior brokerage takes outstanding patience, listening, agility and ultimate focus to get the deal done.
• The equally demanding need for high IQ and EQ in this role has resulted in an incredibly high performing and driven team of diverse backgrounds such as investment banking, management consulting, law and enterprise sales.
• By virtue of the space we are operating in, the talent on the team and the incredible momentum in our business, we are seeing our SGM’s conservatively generate 15x more revenue per head than the top tech firms in the world.

QUALIFICATIONS

• B.A. or B.S. with 5+ years of relevant experience
• Strong interpersonal skills, glass-half-full mentality
• Self-starter attitude and ability to exercise judgment and solve difficult problems without direct supervision
• Excellent communication skills; ability to effectively lead client meetings and presentations
• Highly organized; ability to multi-task and handle multiple deadlines simultaneously
• Track record of excellence across strategic, operational, and detail-demanding functional responsibilities

The base pay range for this position is $100,000-$110,000 annually, with a potential bonus target of $30,000-$60,000 and the potential for upside based on performance; however, pay offered may vary depending on job-related knowledge, skills, and experience. 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 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.

Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.

The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.

Mission Summary:

The Autonomy Subsystems team at Motional is focused on designing and evaluating modules of the autonomy software. We are seeking a talented senior engineer to contribute to evaluation of our machine learning subsystems. Our team performs a variety of evaluations of machine learning models, including offline model eval, evaluation of open and closed-loop re-simulations, and assessment of on-road performance. Our goal is to establish metrics that describe autonomy subsystem performance, evaluate against those metrics to validate performance, and provide meaningful insight to ML developers and teams, working closely alongside them to improve the performance of ML models on the car.

We are looking for a highly-technical systems engineer with experience designing and evaluating safety critical systems and machine learning models. Bring your passion for autonomy, robotics, and machine learning to our team to help build a production-ready system and prepare for our scaled robotaxi service deployment.

Responsibilities:

• Define, prototype, and validate advanced metrics that bring new insights to model performance evaluation for autonomy subsystems (mainly focused on perception, prediction, and planning).
• Assess coverage of existing training and testing, then curate test sets that sufficiently capture Motional’s intended deployment operational design domain, across many axes (agent types, interaction types, map/spatial, etc.).
• Evaluate machine learning model performance against these metrics and tests.
• Assess system-level performance and subsystem contribution to system behavior through large-scale data analysis of on-road and simulation events.
• Define performance requirements for autonomy subsystems, and supporting analyses required to establish these targets.
• Coordinate subsystem-level evaluation with other system-level testing efforts across the systems team in support of the safety case and safety claims.
  
  

Qualifications:

• An engineer who has demonstrated strong cross-functional collaborative skills and is highly self-starting. This is a highly cooperative role across systems, autonomy, infrastructure, and other parts of the organization.
• Proven engineer with 5+ years of experience working on high-tech safety critical systems or robotics, ideally from a systems, robotics, or similar background.
• Master’s degree in relevant fields (systems, robotics, ML, CS, etc.) or Bachelor’s degree plus significant relevant in-field experience.
• Skilled Python developer, familiarity with analyzing the large scale data required to train and test ML models.
• Experience designing unique metrics that capture key aspects of system behavior and are used to enhance model development.
  
  

Bonus Skills:

• Experience training machine learning models, familiarity with state-of-the-art ML model architectures.
• Deep experience with a specific aspect of machine learning for autonomous robotics (perception, prediction, or planning).
• Knowledge of C++, especially applied to safety critical systems.
• Experience with systems verification and validation techniques
• Experience with regression testing updates to already-deployed software in a safety-critical environment.
• Experience with automotive standards (E.g: ISO 12207, ISO 26262, ISO 21448)
• Experience with software quality management and assurance activities (E.g: IATF 16949, ISO 9001)
• Thorough understanding of robotics systems including sensors, actuators, mechatronics and software systems
• Work in cross collaboration teams to address problems and find solutions
  
  

Physical Demands:

While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.

Travel Requirements (greater than 20%):
Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.

Working Environment

The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate. 

Motional AD LLC is an Equal Employment Opportunity employer and we welcome all qualified applicants.  All applicants will receive impartial consideration without regard to race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation or other legally protected status.  Motional AD LLC is a Drug-free workplace.

Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.

The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.

Mission Summary:

The Autonomy Subsystems team at Motional is focused on designing and evaluating modules of the autonomy software. We are seeking a talented senior engineer to contribute to evaluation of our machine learning subsystems. Our team performs a variety of evaluations of machine learning models, including offline model eval, evaluation of open and closed-loop re-simulations, and assessment of on-road performance. Our goal is to establish metrics that describe autonomy subsystem performance, evaluate against those metrics to validate performance, and provide meaningful insight to ML developers and teams, working closely alongside them to improve the performance of ML models on the car.

We are looking for a highly-technical systems engineer with experience designing and evaluating safety critical systems and machine learning models. Bring your passion for autonomy, robotics, and machine learning to our team to help build a production-ready system and prepare for our scaled robotaxi service deployment.

Responsibilities:

• Define, prototype, and validate advanced metrics that bring new insights to model performance evaluation for autonomy subsystems (mainly focused on perception, prediction, and planning).
• Assess coverage of existing training and testing, then curate test sets that sufficiently capture Motional’s intended deployment operational design domain, across many axes (agent types, interaction types, map/spatial, etc.).
• Evaluate machine learning model performance against these metrics and tests.
• Assess system-level performance and subsystem contribution to system behavior through large-scale data analysis of on-road and simulation events.
• Define performance requirements for autonomy subsystems, and supporting analyses required to establish these targets.
• Coordinate subsystem-level evaluation with other system-level testing efforts across the systems team in support of the safety case and safety claims.
  
  

Qualifications:

• An engineer who has demonstrated strong cross-functional collaborative skills and is highly self-starting. This is a highly cooperative role across systems, autonomy, infrastructure, and other parts of the organization.
• Proven engineer with 5+ years of experience working on high-tech safety critical systems or robotics, ideally from a systems, robotics, or similar background.
• Master’s degree in relevant fields (systems, robotics, ML, CS, etc.) or Bachelor’s degree plus significant relevant in-field experience.
• Skilled Python developer, familiarity with analyzing the large scale data required to train and test ML models.
• Experience designing unique metrics that capture key aspects of system behavior and are used to enhance model development.
  
  

Bonus Skills:

• Experience training machine learning models, familiarity with state-of-the-art ML model architectures.
• Deep experience with a specific aspect of machine learning for autonomous robotics (perception, prediction, or planning).
• Knowledge of C++, especially applied to safety critical systems.
• Experience with systems verification and validation techniques
• Experience with regression testing updates to already-deployed software in a safety-critical environment.
• Experience with automotive standards (E.g: ISO 12207, ISO 26262, ISO 21448)
• Experience with software quality management and assurance activities (E.g: IATF 16949, ISO 9001)
• Thorough understanding of robotics systems including sensors, actuators, mechatronics and software systems
• Work in cross collaboration teams to address problems and find solutions
  
  

Physical Demands:

While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.

Travel Requirements (greater than 20%):
Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.

Working Environment

The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate. 

Motional AD LLC is an Equal Employment Opportunity employer and we welcome all qualified applicants.  All applicants will receive impartial consideration without regard to race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation or other legally protected status.  Motional AD LLC is a Drug-free workplace.

Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.

The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.

Mission Summary:

The Autonomy Subsystems team at Motional is focused on designing and evaluating modules of the autonomy software. We are seeking a talented senior engineer to contribute to evaluation of our machine learning subsystems. Our team performs a variety of evaluations of machine learning models, including offline model eval, evaluation of open and closed-loop re-simulations, and assessment of on-road performance. Our goal is to establish metrics that describe autonomy subsystem performance, evaluate against those metrics to validate performance, and provide meaningful insight to ML developers and teams, working closely alongside them to improve the performance of ML models on the car.

We are looking for a highly-technical systems engineer with experience designing and evaluating safety critical systems and machine learning models. Bring your passion for autonomy, robotics, and machine learning to our team to help build a production-ready system and prepare for our scaled robotaxi service deployment.

Responsibilities:

• Define, prototype, and validate advanced metrics that bring new insights to model performance evaluation for autonomy subsystems (mainly focused on perception, prediction, and planning).
• Assess coverage of existing training and testing, then curate test sets that sufficiently capture Motional’s intended deployment operational design domain, across many axes (agent types, interaction types, map/spatial, etc.).
• Evaluate machine learning model performance against these metrics and tests.
• Assess system-level performance and subsystem contribution to system behavior through large-scale data analysis of on-road and simulation events.
• Define performance requirements for autonomy subsystems, and supporting analyses required to establish these targets.
• Coordinate subsystem-level evaluation with other system-level testing efforts across the systems team in support of the safety case and safety claims.
  
  

Qualifications:

• An engineer who has demonstrated strong cross-functional collaborative skills and is highly self-starting. This is a highly cooperative role across systems, autonomy, infrastructure, and other parts of the organization.
• Proven engineer with 5+ years of experience working on high-tech safety critical systems or robotics, ideally from a systems, robotics, or similar background.
• Master’s degree in relevant fields (systems, robotics, ML, CS, etc.) or Bachelor’s degree plus significant relevant in-field experience.
• Skilled Python developer, familiarity with analyzing the large scale data required to train and test ML models.
• Experience designing unique metrics that capture key aspects of system behavior and are used to enhance model development.
  
  

Bonus Skills:

• Experience training machine learning models, familiarity with state-of-the-art ML model architectures.
• Deep experience with a specific aspect of machine learning for autonomous robotics (perception, prediction, or planning).
• Knowledge of C++, especially applied to safety critical systems.
• Experience with systems verification and validation techniques
• Experience with regression testing updates to already-deployed software in a safety-critical environment.
• Experience with automotive standards (E.g: ISO 12207, ISO 26262, ISO 21448)
• Experience with software quality management and assurance activities (E.g: IATF 16949, ISO 9001)
• Thorough understanding of robotics systems including sensors, actuators, mechatronics and software systems
• Work in cross collaboration teams to address problems and find solutions
  
  

Physical Demands:

While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.

Travel Requirements (greater than 20%):
Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.

Working Environment

The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate. 

Motional AD LLC is an Equal Employment Opportunity employer and we welcome all qualified applicants.  All applicants will receive impartial consideration without regard to race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation or other legally protected status.  Motional AD LLC is a Drug-free workplace.

Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.

The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.

Mission Summary:

The Autonomy Subsystems team at Motional is focused on designing and evaluating modules of the autonomy software. We are seeking a talented senior engineer to contribute to evaluation of our machine learning subsystems. Our team performs a variety of evaluations of machine learning models, including offline model eval, evaluation of open and closed-loop re-simulations, and assessment of on-road performance. Our goal is to establish metrics that describe autonomy subsystem performance, evaluate against those metrics to validate performance, and provide meaningful insight to ML developers and teams, working closely alongside them to improve the performance of ML models on the car.

We are looking for a highly-technical systems engineer with experience designing and evaluating safety critical systems and machine learning models. Bring your passion for autonomy, robotics, and machine learning to our team to help build a production-ready system and prepare for our scaled robotaxi service deployment.

Responsibilities:

• Define, prototype, and validate advanced metrics that bring new insights to model performance evaluation for autonomy subsystems (mainly focused on perception, prediction, and planning).
• Assess coverage of existing training and testing, then curate test sets that sufficiently capture Motional’s intended deployment operational design domain, across many axes (agent types, interaction types, map/spatial, etc.).
• Evaluate machine learning model performance against these metrics and tests.
• Assess system-level performance and subsystem contribution to system behavior through large-scale data analysis of on-road and simulation events.
• Define performance requirements for autonomy subsystems, and supporting analyses required to establish these targets.
• Coordinate subsystem-level evaluation with other system-level testing efforts across the systems team in support of the safety case and safety claims.
  
  

Qualifications:

• An engineer who has demonstrated strong cross-functional collaborative skills and is highly self-starting. This is a highly cooperative role across systems, autonomy, infrastructure, and other parts of the organization.
• Proven engineer with 5+ years of experience working on high-tech safety critical systems or robotics, ideally from a systems, robotics, or similar background.
• Master’s degree in relevant fields (systems, robotics, ML, CS, etc.) or Bachelor’s degree plus significant relevant in-field experience.
• Skilled Python developer, familiarity with analyzing the large scale data required to train and test ML models.
• Experience designing unique metrics that capture key aspects of system behavior and are used to enhance model development.
  
  

Bonus Skills:

• Experience training machine learning models, familiarity with state-of-the-art ML model architectures.
• Deep experience with a specific aspect of machine learning for autonomous robotics (perception, prediction, or planning).
• Knowledge of C++, especially applied to safety critical systems.
• Experience with systems verification and validation techniques
• Experience with regression testing updates to already-deployed software in a safety-critical environment.
• Experience with automotive standards (E.g: ISO 12207, ISO 26262, ISO 21448)
• Experience with software quality management and assurance activities (E.g: IATF 16949, ISO 9001)
• Thorough understanding of robotics systems including sensors, actuators, mechatronics and software systems
• Work in cross collaboration teams to address problems and find solutions
  
  

Physical Demands:

While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.

Travel Requirements (greater than 20%):
Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.

Working Environment

The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate. 

Motional AD LLC is an Equal Employment Opportunity employer and we welcome all qualified applicants.  All applicants will receive impartial consideration without regard to race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation or other legally protected status.  Motional AD LLC is a Drug-free workplace.

Mission Summary:

At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery.

As a Senior Machine Learning Engineer on the Data Mining team, your mission is to build the "Brain" of this engine: designing massive multimodal Teacher models that understand the world, and distilling them into hyper-efficient Student models that can scour exabytes of data in near real-time. You will work at the intersection of large-scale representation learning, retrieval optimization, and reasoning systems. Your work will directly influence how we compress knowledge into efficient encoders for fast search, and how we apply reinforcement learning to optimize data discovery workflows and intelligent querying. By building smarter mining tools, you will accelerate the entire model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation.

What You'll Do:

• Architect and Train Distilled Models: Design and implement teacher-student model frameworks for multimodal sensor data. Develop training pipelines for knowledge distillation. Ensure student models maintain high accuracy while drastically reducing inference latency and memory footprint.
• Reinforcement Learning for Data Discover: Build RL-based policy learning and reasoning systems for autonomous driving applications. Implement and scale RL training workflows (e.g., PPO, DQN, actor-critic methods) for simulation and real-world interaction. Explore reward shaping, environment modeling, and multi-agent RL where applicable.
• Optimize Model Deployment for Real-Time Inference: Collaborate with backend engineers to deploy distilled and RL models into production. Optimize for latency, throughput, and hardware efficiency across GPU/CPU clusters. Implement model versioning, A/B testing, and monitoring for performance regressions.
• Research and Integrate Agentic Systems: Explore and prototype agentic workflows for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior. Integrate such systems into our broader autonomy stack as experimental or production components.
• Drive Production Reliability: Establish patterns for graceful degradation, fault tolerance, and cost optimization. Operate Omnitag as a mission-critical data platform serving the entire ML organization, with a focus on reliability, debuggability, and operational excellence.
• Mentor and Collaborate: Work closely with ML scientists, data engineers, and autonomy teams to translate research advances into scalable engineering solutions. Guide junior engineers in best practices for model training, evaluation, and deployment.

What We're Looking For:

• BS in Computer Science, Machine Learning, or related field, or equivalent professional experience.
• 6+ years of hands-on experience in machine learning engineering, with a focus on model post training, optimization, and deployment.
• Strong experience with model distillation or teacher-student training - practical knowledge of loss functions, training strategies, and evaluation of compressed models.
• Proven experience with reinforcement learning in production or research settings: policy optimization, reward design, simulation environments, and RL-based reasoning.
• Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX).
• Strong software engineering fundamentals: testing, CI/CD, containerization, and system design.
• Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for inference.
• Demonstrated ability to ship production-grade ML systems and mentor team members.
• Demonstrated track record of shipping robust, well-tested, production-grade systems and mentoring junior engineers

Bonus Points (Nice-to-Haves):

• MS/PhD in Computer Science, Machine Learning, or related field.
• Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning.
• Background in autonomous driving, robotics, or real-time decision-making systems.
• Familiarity with multimodal learning, sensor fusion, or embodied AI.
• Experience building active learning loops, using the model to find the data that breaks the model.
• Experience with ML-based data mining, active learning, or contrastive learning.
• Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms.
• Publications or open-source contributions in RL, distillation, or efficient ML.
  
  

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Mission Summary:

At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery.

As a Senior Machine Learning Engineer on the Data Mining team, your mission is to build the "Brain" of this engine: designing massive multimodal Teacher models that understand the world, and distilling them into hyper-efficient Student models that can scour exabytes of data in near real-time. You will work at the intersection of large-scale representation learning, retrieval optimization, and reasoning systems. Your work will directly influence how we compress knowledge into efficient encoders for fast search, and how we apply reinforcement learning to optimize data discovery workflows and intelligent querying. By building smarter mining tools, you will accelerate the entire model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation.

What You'll Do:

• Architect and Train Distilled Models: Design and implement teacher-student model frameworks for multimodal sensor data. Develop training pipelines for knowledge distillation. Ensure student models maintain high accuracy while drastically reducing inference latency and memory footprint.
• Reinforcement Learning for Data Discover: Build RL-based policy learning and reasoning systems for autonomous driving applications. Implement and scale RL training workflows (e.g., PPO, DQN, actor-critic methods) for simulation and real-world interaction. Explore reward shaping, environment modeling, and multi-agent RL where applicable.
• Optimize Model Deployment for Real-Time Inference: Collaborate with backend engineers to deploy distilled and RL models into production. Optimize for latency, throughput, and hardware efficiency across GPU/CPU clusters. Implement model versioning, A/B testing, and monitoring for performance regressions.
• Research and Integrate Agentic Systems: Explore and prototype agentic workflows for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior. Integrate such systems into our broader autonomy stack as experimental or production components.
• Drive Production Reliability: Establish patterns for graceful degradation, fault tolerance, and cost optimization. Operate Omnitag as a mission-critical data platform serving the entire ML organization, with a focus on reliability, debuggability, and operational excellence.
• Mentor and Collaborate: Work closely with ML scientists, data engineers, and autonomy teams to translate research advances into scalable engineering solutions. Guide junior engineers in best practices for model training, evaluation, and deployment.

What We're Looking For:

• BS in Computer Science, Machine Learning, or related field, or equivalent professional experience.
• 6+ years of hands-on experience in machine learning engineering, with a focus on model post training, optimization, and deployment.
• Strong experience with model distillation or teacher-student training - practical knowledge of loss functions, training strategies, and evaluation of compressed models.
• Proven experience with reinforcement learning in production or research settings: policy optimization, reward design, simulation environments, and RL-based reasoning.
• Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX).
• Strong software engineering fundamentals: testing, CI/CD, containerization, and system design.
• Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for inference.
• Demonstrated ability to ship production-grade ML systems and mentor team members.
• Demonstrated track record of shipping robust, well-tested, production-grade systems and mentoring junior engineers

Bonus Points (Nice-to-Haves):

• MS/PhD in Computer Science, Machine Learning, or related field.
• Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning.
• Background in autonomous driving, robotics, or real-time decision-making systems.
• Familiarity with multimodal learning, sensor fusion, or embodied AI.
• Experience building active learning loops, using the model to find the data that breaks the model.
• Experience with ML-based data mining, active learning, or contrastive learning.
• Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms.
• Publications or open-source contributions in RL, distillation, or efficient ML.
  
  

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Mission Summary:

At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery.

As a Senior Machine Learning Engineer on the Data Mining team, your mission is to build the "Brain" of this engine: designing massive multimodal Teacher models that understand the world, and distilling them into hyper-efficient Student models that can scour exabytes of data in near real-time. You will work at the intersection of large-scale representation learning, retrieval optimization, and reasoning systems. Your work will directly influence how we compress knowledge into efficient encoders for fast search, and how we apply reinforcement learning to optimize data discovery workflows and intelligent querying. By building smarter mining tools, you will accelerate the entire model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation.

What You'll Do:

• Architect and Train Distilled Models: Design and implement teacher-student model frameworks for multimodal sensor data. Develop training pipelines for knowledge distillation. Ensure student models maintain high accuracy while drastically reducing inference latency and memory footprint.
• Reinforcement Learning for Data Discover: Build RL-based policy learning and reasoning systems for autonomous driving applications. Implement and scale RL training workflows (e.g., PPO, DQN, actor-critic methods) for simulation and real-world interaction. Explore reward shaping, environment modeling, and multi-agent RL where applicable.
• Optimize Model Deployment for Real-Time Inference: Collaborate with backend engineers to deploy distilled and RL models into production. Optimize for latency, throughput, and hardware efficiency across GPU/CPU clusters. Implement model versioning, A/B testing, and monitoring for performance regressions.
• Research and Integrate Agentic Systems: Explore and prototype agentic workflows for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior. Integrate such systems into our broader autonomy stack as experimental or production components.
• Drive Production Reliability: Establish patterns for graceful degradation, fault tolerance, and cost optimization. Operate Omnitag as a mission-critical data platform serving the entire ML organization, with a focus on reliability, debuggability, and operational excellence.
• Mentor and Collaborate: Work closely with ML scientists, data engineers, and autonomy teams to translate research advances into scalable engineering solutions. Guide junior engineers in best practices for model training, evaluation, and deployment.

What We're Looking For:

• BS in Computer Science, Machine Learning, or related field, or equivalent professional experience.
• 6+ years of hands-on experience in machine learning engineering, with a focus on model post training, optimization, and deployment.
• Strong experience with model distillation or teacher-student training - practical knowledge of loss functions, training strategies, and evaluation of compressed models.
• Proven experience with reinforcement learning in production or research settings: policy optimization, reward design, simulation environments, and RL-based reasoning.
• Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX).
• Strong software engineering fundamentals: testing, CI/CD, containerization, and system design.
• Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for inference.
• Demonstrated ability to ship production-grade ML systems and mentor team members.
• Demonstrated track record of shipping robust, well-tested, production-grade systems and mentoring junior engineers

Bonus Points (Nice-to-Haves):

• MS/PhD in Computer Science, Machine Learning, or related field.
• Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning.
• Background in autonomous driving, robotics, or real-time decision-making systems.
• Familiarity with multimodal learning, sensor fusion, or embodied AI.
• Experience building active learning loops, using the model to find the data that breaks the model.
• Experience with ML-based data mining, active learning, or contrastive learning.
• Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms.
• Publications or open-source contributions in RL, distillation, or efficient ML.
  
  

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Mission Summary:

At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery.

As a Senior Machine Learning Engineer on the Data Mining team, your mission is to build the "Brain" of this engine: designing massive multimodal Teacher models that understand the world, and distilling them into hyper-efficient Student models that can scour exabytes of data in near real-time. You will work at the intersection of large-scale representation learning, retrieval optimization, and reasoning systems. Your work will directly influence how we compress knowledge into efficient encoders for fast search, and how we apply reinforcement learning to optimize data discovery workflows and intelligent querying. By building smarter mining tools, you will accelerate the entire model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation.

What You'll Do:

• Architect and Train Distilled Models: Design and implement teacher-student model frameworks for multimodal sensor data. Develop training pipelines for knowledge distillation. Ensure student models maintain high accuracy while drastically reducing inference latency and memory footprint.
• Reinforcement Learning for Data Discover: Build RL-based policy learning and reasoning systems for autonomous driving applications. Implement and scale RL training workflows (e.g., PPO, DQN, actor-critic methods) for simulation and real-world interaction. Explore reward shaping, environment modeling, and multi-agent RL where applicable.
• Optimize Model Deployment for Real-Time Inference: Collaborate with backend engineers to deploy distilled and RL models into production. Optimize for latency, throughput, and hardware efficiency across GPU/CPU clusters. Implement model versioning, A/B testing, and monitoring for performance regressions.
• Research and Integrate Agentic Systems: Explore and prototype agentic workflows for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior. Integrate such systems into our broader autonomy stack as experimental or production components.
• Drive Production Reliability: Establish patterns for graceful degradation, fault tolerance, and cost optimization. Operate Omnitag as a mission-critical data platform serving the entire ML organization, with a focus on reliability, debuggability, and operational excellence.
• Mentor and Collaborate: Work closely with ML scientists, data engineers, and autonomy teams to translate research advances into scalable engineering solutions. Guide junior engineers in best practices for model training, evaluation, and deployment.

What We're Looking For:

• BS in Computer Science, Machine Learning, or related field, or equivalent professional experience.
• 6+ years of hands-on experience in machine learning engineering, with a focus on model post training, optimization, and deployment.
• Strong experience with model distillation or teacher-student training - practical knowledge of loss functions, training strategies, and evaluation of compressed models.
• Proven experience with reinforcement learning in production or research settings: policy optimization, reward design, simulation environments, and RL-based reasoning.
• Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX).
• Strong software engineering fundamentals: testing, CI/CD, containerization, and system design.
• Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for inference.
• Demonstrated ability to ship production-grade ML systems and mentor team members.
• Demonstrated track record of shipping robust, well-tested, production-grade systems and mentoring junior engineers

Bonus Points (Nice-to-Haves):

• MS/PhD in Computer Science, Machine Learning, or related field.
• Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning.
• Background in autonomous driving, robotics, or real-time decision-making systems.
• Familiarity with multimodal learning, sensor fusion, or embodied AI.
• Experience building active learning loops, using the model to find the data that breaks the model.
• Experience with ML-based data mining, active learning, or contrastive learning.
• Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms.
• Publications or open-source contributions in RL, distillation, or efficient ML.
  
  

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

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. 

Watch your commissioning expertise come to life in landmark projects around the world when you partner with Syska Hennessy Group! 

As a global leader in consulting, engineering, and commissioning services, we specialize in highly technical buildings and the systems that bring them to life. We are currently seeking a performance-driven, motivated Senior - Supervising Electrical Commissioning Agent. This role will be based in either our Headquarters in New York, NY, Los Angeles, CA, Boston, MA, Chicago, IL or Washington, DC. 

You will demonstrate your engineering skills and by leveraging the firm’s technology centric competitive edge you will work with design engineers, vendors, contractors, and client personnel to design, test, make operational, optimize, and validate Electrical systems in multiple 24x7 mission critical plants, pharmaceutical, healthcare, power generation or similar environments. 

Our dynamic work environment provides the optimal setting to take your commissioning career to the next level. From our supportive culture, diverse workforce, and competitive compensation to our flexible work schedules and fun social events, it is everything you will need for an exciting, challenging, and rewarding career. 

Job Responsibilities 

We are seeking a highly skilled Senior - Supervising Electrical Commissioning Engineer to join our team. The ideal candidate will have 10+ years of hands-on commissioning and testing experience across a wide range of building electrical systems. This role requires an expert-level understanding of power distribution, emergency/standby systems, lighting controls, grounding, and electrical protection systems, as well as demonstrated proficiency with field testing tools and procedures. Experience with SKM, Arc Flash studies, and power system modeling is a strong plus.

Key Responsibilities: 

• Lead and execute commissioning activities for electrical building systems, including but not limited to:
  • Power distribution systems (medium voltage and low voltage)
  • Emergency and standby power systems (generators, ATS, UPS)
  • Lighting and lighting control systems
  • Fire alarm interfaces and life-safety electrical components
  • Grounding and bonding systems
  • Protective relays and switchgear
• Perform hands-on field testing using industry-standard equipment such as:
  • Power quality meters (PQM)
  • Infrared (IR) cameras
  • Multimeters, clamp meters, and other diagnostic tools
  • Circuit analyzers and load banks
• Develop and execute functional performance test procedures and commissioning plans.
• Review electrical design documents, submittals, and shop drawings for commissioning considerations and compliance.
• Identify deficiencies, troubleshoot system performance issues, and work collaboratively with contractors and design teams to develop corrective actions.
• Prepare commissioning reports, test documentation, issues logs, and close-out packages.
• Provide technical guidance, mentorship, and support to junior engineers and field technicians.
• Participate in project meetings, coordinate with stakeholders, and communicate status updates.
• Support the development of commissioning standards, procedures, and best practices.
• (Optional) Contribute to SKM studies, Arc Flash analyses, and power system modeling as needed.

Job Requirements 

The ideal candidate will have 10+ years of electrical commissioning experience with hands-on testing of building electrical systems, a strong understanding of NETA testing principles, and proficiency using tools such as PQMs, IR cameras, and meters. SKM and Arc Flash experience is a plus. Your technical strengths must be complemented by self-motivation, relationship building skills, and effective communication skills. 

Commissioning Engineer requirements: 

• Bachelor’s degree in Electrical Engineering or related discipline (preferred).
• 10+ - 12+ years of electrical commissioning or NETA-level testing experience in commercial, industrial, or mission-critical facilities.
• Strong understanding of NETA testing principles and familiarity with NETA ATS/MTS procedures.
• Proven hands-on field testing experience across a wide range of electrical systems.
• Proficient with PQMs, IR cameras, multimeters, and other testing tools.
• Working knowledge of NEC, NFPA 70E, NETA, IEEE, and related standards.
• SKM, Arc Flash, and power system modeling experience is a strong plus.
• Strong communication, troubleshooting, and report-writing skills.
• Ability to manage multiple projects and perform fieldwork in active construction environments.

Benefits 

As a Commissioning Engineer with Syska Hennessy Group, you will be part of a global firm with an amazing history! We are committed to being the best, to advancing the commissioning practice, and to supporting our clients with integrity. To make all of that happen, we rely on the talent, drive, enthusiasm, and the total job satisfaction of the great people who work here. 

As a member of our highly collaborative team, we provide you with a flexible benefits package that reflects our respect for your workplace contributions, professional goals, and personal priorities. The personal benefits program at Syska Hennessy Group includes: 

• Robust, comprehensive medical, dental, vision, life insurance and supplemental benefit plans
• 401(k) plan with a generous employer matching program
• Training and professional development courses
• Professional development incentive bonuses
• Dynamic Employee Resource Groups
• Competitive Paid Time Off (PTO) policy
• Transit/parking employer stipend
• ½ day work from home Fridays all year long

At Syska, we promote an environment that is committed to embedding diversity and equality into the core of our business and culture. We empower our employees so they can take ownership for their work and development and strive to continually improve themselves and our firm. Syska is a place where you can build an exceptional career and have a lasting impact on the world.

Syska Hennessy Group | Integrating the best minds and technology to help clients create exceptional environments. 

About the Role

You will lead the most complex and strategic forward-deployed product efforts—owning portfolios of deployments, shaping product direction, and improving how Liberate delivers and scales AI agents.

You operate across customers, systems, and teams to drive both execution excellence and product evolution.

Key Responsibilities

• Define and prioritize problem spaces: Identify the highest-impact opportunities across customers and workflows
• Lead complex, cross-functional engagements: Drive discovery, design, and delivery across multiple teams and stakeholders
• Set direction for agent design: Guide solution architecture and key tradeoffs, including customization vs standardization
• Own execution across initiatives: Ensure alignment, momentum, and delivery predictability across multi-threaded efforts
• Build and improve delivery systems: Establish frameworks for scoping, execution, measurement, and quality
• Translate patterns into platform: Turn cross-customer learnings into product and platform improvements
• Influence roadmap and strategy: Shape product and technical direction based on field insights
• Raise the bar across the team: Improve standards for product thinking, execution rigor, and delivery excellence

Qualifications

Must have

• Bachelor’s or Master’s degree in Computer Science or a related technical field (required)
• 8–12+ years of experience across product, solutions, consulting, or technical leadership roles
• Deep experience leading complex, customer-facing implementations or transformations
• Strong ability to connect business problems to scalable technical solutions
• Track record of driving both product direction and execution across teams
• Experience managing large, multi-threaded initiatives with multiple stakeholders
• Excellent communication and influence across technical and executive audiences

Nice to have

• Experience with AI/ML systems, automation platforms, or highly technical SaaS products
• Background in insurance, fintech, or other regulated industries
• Experience shaping product strategy from field or customer insights
• Familiarity with building scalable systems or platform capabilities from repeated deployments

Salary for Agent Product Manager roles range from $160,000–$235,000, depending on level, experience, and location.

About the Role

You will own ambiguous, high-impact problem spaces for enterprise customers—defining what to build, designing agent systems, and driving multi-threaded execution through to measurable outcomes.

You are equally responsible for strong product judgment and disciplined delivery.

Key Responsibilities

• Own problem definition: Identify and shape the highest-leverage AI opportunities across customer workflows
• Lead advanced discovery and co-design sessions: Translate ambiguity into clear solution direction and priorities
• Design agent systems: Define workflows, behaviors, and requirements, making tradeoffs across scope, feasibility, and impact
• Drive multi-threaded execution: Coordinate across engineering, customer stakeholders, and internal teams
• Manage execution systems: Own sequencing, dependencies, and risk mitigation across workstreams
• Anticipate and mitigate failure modes: Shape execution plans to prevent predictable issues before they arise
• Ensure adoption and outcomes: Drive measurable value, not just successful deployment
• Create reusable patterns: Identify recurring solutions and convert them into scalable workflows or product improvements

Qualifications

Must have

• Bachelor’s or Master’s degree in Computer Science or a related technical field (required)
• 5–8+ years of experience in product, solutions, consulting, or implementation roles
• Proven ability to lead customer-facing discovery and design engagements
• Experience translating complex workflows into structured technical solutions
• Strong ownership across both product direction and execution outcomes
• Ability to manage multiple stakeholders and workstreams simultaneously
• Strong judgment in ambiguous environments with competing constraints

Nice to have

• Experience with AI/ML systems, workflow automation, or agent-based products
• Prior experience in insurance, fintech, or regulated industries
• Familiarity with system design tradeoffs or technical architecture concepts
• Experience driving reusable patterns or productization from implementations

Salary for Agent Product Manager roles range from $160,000–$235,000, depending on level, experience, and location.

About the Role

You will operate as a forward-deployed product owner embedded with customers—responsible for identifying high-impact problems, designing AI agent workflows, and driving them into production. You own both defining the right solution and ensuring it is delivered successfully.

This role sits at the intersection of product, engineering, and customer execution.

Key Responsibilities

• Scope and prioritize use cases: Work directly with customers to identify high-impact automation opportunities across workflows
• Lead discovery and design workshops: Uncover pain points, map processes, and define clear problem statements and success criteria
• Design agent workflows: Translate business needs into structured agent behaviors, requirements, and system logic
• Own end-to-end execution: Drive delivery across engineering, customers, and internal teams
• Coordinate delivery: Manage sequencing, dependencies, and timelines to ensure steady, predictable progress
• Manage risk and quality: Surface risks early, propose mitigations, and maintain high delivery standards
• Drive iteration and outcomes: Monitor performance post-launch and refine solutions based on real-world usage

Qualifications

Must have

• Bachelor’s or Master’s degree in Computer Science or a related technical field (required)
• 4–7 years of experience in customer-facing or hybrid roles (product, solutions, implementation, consulting)
• Experience leading discovery sessions or workshops and translating business needs into structured requirements
• Strong execution skills with ability to manage stakeholders, timelines, and dependencies
• Analytical and structured problem-solving skills in ambiguous environments
• Excellent written and verbal communication across technical and non-technical stakeholders
• Experience with enterprise SaaS implementations or deployments

Nice to have

• Experience with AI/ML products, automation tools, or workflow systems
• Background in insurance, fintech, or regulated industries
• Familiarity with prompt engineering or agent-based systems
• Exposure to product or service design methodologies

Salary for Agent Product Manager roles range from $160,000–$235,000, depending on level, experience, and location.

This is an exempt position. The annualized base pay range for this role is expected to be between $135,000-$165,0000.  Actual base pay could vary based on factors including but not limited to experience, subject matter expertise, geographic location where work will be performed, and the applicant's skill set.  The base pay is just one component of the total compensation package for employees.  Other rewards may include an annual cash bonus and a comprehensive benefits package, including but not limited to medical, dental, vision, life insurance, and 401(k). Please note that the job title is subject to change based on the selected candidate’s experience and education.

#LI-SF1

Iterable is leveling up.

Iterable is building the next generation of customer engagement, one where AI doesn’t just assist, it acts. Our platform is evolving into an AI-native system powered by Nova, enabling teams to translate goals into intelligent, real-time customer experiences across every channel. This isn’t about layering AI onto legacy tools; it’s about re-architecting how data, decisioning, and execution come together to create adaptive, agentic journeys at scale.

Ready to move beyond pipelines and build intelligence-ready data systems? 

We are looking for a Senior Product Manager to define how data moves, lives, and performs across Iterable. You’ll own the vision and roadmap for the full lifecycle of user and event data, from ingestion to intelligent storage to governed, high-performance access.

You’ll shape the systems that power both messaging surfaces and Nova AI experiences, ensuring data is fast, reliable, and ready for real-time decisioning. 

Every campaign launched, every journey orchestrated, every model activated, it all depends on the foundations you build.

How you will make an impact:

• Own the end-to-end user data platform charter: define how user and event data moves from APIs and pipelines into storage, through schema and lifecycle management, and out through query surfaces used by sends, journeys, and AI features—staying focused on core user data infrastructure, not analytics UI or external integrations.
• Make ingestion and identity reliable at scale: evolve ingestion APIs and pipelines with clear SLOs, prioritization, and fair-usage limits, and drive a clear identity model so we can safely move users from anonymous to known without duplicates or data loss.
• Modernize storage, schemas, and guardrails: lead ES8 and user-store roadmaps, retention and cost work, and turn schema management into a first-class product (field removal, usage heatmaps, structural guardrails) so customers can keep only the data that matters.
• Enable Nova and product teams with better data: partner with AI/ML and application teams to define what “AI-ready” means, evolve a centralized query layer with guardrails, and own platform metrics (SLOs, incidents, ES cost, schema health, query coverage) that show the impact of your roadmap.

In this role, you'll get to:

• Work at the heart of Iterable’s data plane—where decisions about ingestion, storage, schema, and queries shape everything built on top of it.
• Make concrete tradeoffs between flexibility and guardrails: when to allow arbitrary payloads vs. when to insist on structure, how much history to keep online, and which queries are too risky to run.
• Partner closely with senior engineering leaders on long-horizon decisions about search/index strategy, user stores, SLOs, and cost posture.
• Spend time with customers’ data and engineering teams to understand how they actually model users and events today—and reflect that reality in a cleaner, more powerful user data platform.

We are looking for people who have:

• 5+ years of product management experience in B2B SaaS, focused on backend, platform, or data infrastructure products.
• Hands-on experience with user and event data systems—for example: ingestion pipelines, identity/alias models, event stores, or large search/document databases (e.g., Elasticsearch).
• Strong instincts around APIs and schemas: you’re comfortable reading JSON payloads, thinking through nesting vs. flattening, and managing breaking changes over time.
• Familiarity with distributed systems and data infra (Kafka/Pulsar, Redis, relational or NoSQL stores, or search engines) and the tradeoffs around performance, reliability, and cost.
• Experience collaborating with AI/ML or data science teams on the data side—feature availability, data quality, semantics—enough to know what really blocks good models and agent behavior.
• Strong analytical skills (including SQL) and a habit of using data to drive prioritization and validate impact.
• Clear, direct communication; you can explain a data or infra decision to both senior engineers and non-technical stakeholders without jargon for its own sake.

Bonus points:

• You’ve worked on a core user-data or messaging platform where profiles, events, and identity resolution were central concepts.
• You’ve shipped guardrails or cost controls for shared infrastructure (rate limits, query limits, SLOs, or similar).
• You’ve been part of a major search / storage modernization (e.g., ES migrations, index redesigns, or retention changes).
• Background in computer science, data engineering, or a related field that lets you go deep with engineering when needed.

Perks & Benefits:

• Paid parental leave
• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $138,500 - $213,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

About Us:

Liberate builds AI agents to automate manual tasks for the $2.7T insurance industry. We started with voice — the hardest and most valuable channel in insurance — and are now expanding into full workflow automation across sales, servicing, and claims. Our long-term vision is to build reasoning agents capable of handling the entire spectrum of insurance carrier and broker operations. We've raised $72M to date, including a $50M Series B in October 2025, backed by top-tier venture firms.

Location: Boston or Bay Area, hybrid preferred (2x/week in office)

Reporting: VP Engineering, dotted line partnership with CPO, and Customer Success leadership

Mission
Make Liberate’s product measurably safer and compliant as we scale agentic workflows. Build security and compliance guardrails, engineering practices, and technical controls so we can ship fast without turning normal mistakes into P0 incidents or compliance failures.

What you will do

Product security and architecture

• Own product security end to end, including threat modeling, secure design reviews, and high risk architecture decisions.
• Build secure SDLC practices that engineers actually follow, including security requirements, CI checks, security test coverage, and safe defaults.
• Drive multi tenant and data boundary safety, including secrets handling, key management patterns, and blast radius reduction.
• Partner with Engineering leaders to make security part of how we build, not a separate lane.
• Influence roadmap tradeoffs with clear risk framing and concrete mitigations.

Compliance and risk management 

• Own SOC 2 and related compliance programs end to end, including control design, implementation, and ongoing effectiveness.
• Ensure compliance requirements are translated into real technical controls and engineering workflows, not manual or checklist driven processes.
• Partner with Engineering, Product, and Ops to embed compliance controls into systems, CI pipelines, and defaults.
• Lead audits and external reviews with a strong internal posture, clear ownership, and minimal disruption to engineering teams.
• Use tools like Vanta as leverage, not as the job.

Incident readiness and vulnerability management

• Lead product security incident readiness, including playbooks, tabletop exercises, escalation paths, postmortems, and durable fixes.
• Run vulnerability management for the product, including triage, prioritization, remediation, pen tests, and third party reviews.
• Own communication and coordination during security incidents, ensuring calm execution and clear accountability.

What we are looking for

• Deep product security background in modern cloud systems, ideally multi tenant SaaS.
• Strong engineering chops. You can review designs, spot systemic risk, and drive pragmatic solutions.
• Experience building and owning security and compliance programs in high growth environments, including shift left security, developer enablement, and security architecture decisions.
• Calm operator during incidents, with crisp communication and high trust with engineering teams.
• Comfortable being the first dedicated product security hire and defining the role in partnership with Engineering and Product leadership.

Experience

• 8+ years in security engineering, product security, or platform security roles.
• 4+ plus years owning security architecture or security programs for a production SaaS product.
• Demonstrated ownership of SOC 2 or similar compliance programs in a fast moving environment.
• Prior experience operating in an early stage or high growth company where security and compliance systems had to be built, not inherited.

Success looks like

• SOC 2 and related compliance programs run predictably, with minimal fire drills.
• Fewer high severity security incidents and a smaller blast radius when issues happen.
• Security and compliance checks become defaults in the system, not heroics by individuals.
• Engineers ship faster because risk, security, and compliance expectations are clear by design.
  
  

What you own

1. Product security

• Threat modeling and secure design reviews for new agent capabilities, tools, memory, tenant isolation, and data flows.
• Secure SDLC, including security requirements in PRDs, security gates in CI, and security regression tests.
• Secrets, keys, and tenant boundary safety, with automation to reduce blast radius and prevent common footguns.

1. Compliance and governance

• SOC 2 and related compliance frameworks, including control ownership, evidence quality, and audit readiness.
• Mapping compliance requirements to technical controls and operational practices.
• Continuous compliance posture, not point in time audits.

1. Platform and cloud security

• IAM, least privilege, production access, audit trails, logging, and secure defaults.
• Secure architecture for multi tenant services, network boundaries, data encryption, and key management.

Security tooling and detection signals relevant to product risk.

Director, Agent Product Management (Agent PM)

Location: Boston, MA / Berkeley, CA
Team: Agent Delivery
Reports to: Head of Agent Delivery

About Liberate:

Liberate builds AI agents to automate manual tasks for the $2.7T insurance industry. We started with voice — the hardest and most valuable channel in insurance — and are now expanding into full workflow automation across sales, servicing, and claims. Our long-term vision is to build reasoning agents capable of handling the entire spectrum of insurance carrier and broker operations. We've raised $72M to date, including a $50M Series B in October 2025, backed by top-tier venture firms.

The Role

Liberate is hiring a Director, Head of Agent Product Management to lead and scale our forward-deployed Agent PM organization. In the next 12 months, this team is expected to grow to 20+ Agent PMs, making this a critical leadership role responsible for building a world-class org, operating system, and talent pipeline. Success in this role means faster customer time-to-value, fewer delivery escalations, and a platform roadmap grounded in real insurance workflows.

You will own the customer problem portfolio and ensure it translates into clear, decision-grade roadmap inputs for Platform Product. In parallel, you will run delivery execution and forecasting to ensure customer outcomes and ARR commitments are met.

This is a leadership role for a software PM who builds durable systems and holds a high bar for execution and customer impact. Former founders or early-stage product leaders are strongly encouraged to apply.

What You’ll Do

• Lead the Agent PM organization: hire, develop, and manage a team of forward-deployed Agent PMs; build clear leveling, expectations, and performance standards as the org scales.
• Own customer-led product prioritization: produce evidence-backed problem briefs, success criteria, and a ranked customer demand backlog trusted by Platform PMs and Engineering.
• Shape the platform roadmap: partner with Platform Product leadership to turn customer problems into scalable product investments, with clear tradeoffs and decision ownership.
• Run delivery execution tied to ARR: own forecasting, capacity planning with matrixed engineering leaders, and readiness criteria from discovery through launch and scale.
• Reduce bespoke delivery over time: convert recurring customer use cases into reusable platform capabilities.
• Serve as senior escalation owner: lead complex customer and internal escalations with executive presence and speed.
• Drive measurable outcomes: improve time-to-value, on-time launches, production agent performance, and customer satisfaction while reducing delivery risk.

What We’re Looking For

Required

• 10+ years experience in software product management, including leading PM teams.
• Track record shipping and scaling complex, enterprise B2B software products in production environments.
• Deep strength in customer discovery, problem definition, and influencing roadmap prioritization.
• Demonstrated ability to build operating systems and scale teams in high-growth environments.
• Strong cross-functional leadership skills; comfortable partnering with matrixed engineering teams.
• Excellent written and verbal communication; ability to lead executive-level conversations.
• You don’t need prior insurance experience, but you must be excited to deeply learn insurance workflows.

Strongly Preferred

• Founder / former founder or early-stage product leader who has built teams and systems from scratch.
• Experience with AI/automation/agentic products (or strong demonstrated aptitude).
• Experience in regulated or high-stakes enterprise environments (security, compliance, integrations).
• Experience owning or heavily influencing ARR outcomes (renewals/expansion, delivery commitments, de-risking red accounts).

Why Liberate

• Build and lead a rapidly scaling Agent PM organization at the center of our enterprise growth.
• Work on real-world AI agent deployments that drive measurable business outcomes.
• High-ownership role with meaningful equity and clear runway for expanded leadership scope

Salary Information: $200,000 to $250,000 depending upon location and experience 

About Liberate:

Liberate builds AI agents to automate manual tasks for the $2.7T insurance industry. We started with voice — the hardest and most valuable channel in insurance — and are now expanding into full workflow automation across sales, servicing, and claims. Our long-term vision is to build reasoning agents capable of handling the entire spectrum of insurance carrier and broker operations. We've raised $72M to date, including a $50M Series B in October 2025, backed by top-tier venture firms.

Key Responsibilities

Location: Boston or San Francisco hybrid role (2 days/week in-office)

• Scope and Prioritize Use Cases: Collaborate with strategic accounts to identify and evaluate high-impact AI opportunities. Lead ideation and discovery workshops to uncover pain points, efficiency gaps, and automation potential.
• Lead Product Design Workshops: Facilitate co-design sessions with customers to translate business needs into AI agent workflows. Help customers envision what’s possible and chart a path to value.
• Author Agent Requirements: Work closely with internal teams to define clear, actionable requirements for our AI Agent Engineering team. Bridge the gap between customer needs and technical execution.
• Drive Customer Implementations: Own the end-to-end delivery of AI deployments for large enterprise customers. Manage timelines, expectations, and success metrics. Act as the primary interface between the customer and internal teams throughout implementation.
• Champion Customer Success: Ensure that solutions are adopted and deliver tangible value. Continuously monitor performance and recommend enhancements or optimizations, closely collaborating with our AI Customer Success Managers.

Qualifications

Must have

• Extreme sense of ownership, urgency, and customer obsession to ensure that you will thrive in our early stage enterprise startup environment
• 3-5 years of experience in customer-facing or hybrid technology roles such as enterprise product management, customer success, implementation management, strategy consulting, or solutions engineering
• Demonstrated ability to translate business requirements into technical specs or product briefs
• Proven ability to lead workshops and uncover customer needs in ambiguous environments
• Strong analytical and structured problem-solving skills
• Exceptional written and verbal communication skills, with the ability to influence both technical and non-technical stakeholders
• Exposure to implementation or deployment of enterprise SaaS solutions

Nice to have

• Experience working with AI/ML products, automation tools, or workflow optimization initiatives
• Prior experience in insurance, fintech, or highly regulated industries
• Familiarity with prompt engineering or agent-based AI systems
• Background in product design, service design, or business process design

Salary Range: $150,000-190,000 

The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.

Benefits:

• Competitive salary with equity options
• Flexible PTO
• 401(k) plan
• Comprehensive health, dental, and vision insurance
• Flexible work environment with remote work options
• Collaborative and innovative company culture

About Us:

Liberate builds AI agents to automate manual tasks for the $2.7T insurance industry. We started with voice — the hardest and most valuable channel in insurance — and are now expanding into full workflow automation across sales, servicing, and claims. Our long-term vision is to build reasoning agents capable of handling the entire spectrum of insurance carrier and broker operations. We've raised $72M to date, including a $50M Series B in October 2025, backed by top-tier venture firms.

About The Role:

We are seeking an AI Agent Engineer to bridge the gap between our cutting-edge products and our customers' technical needs, ensuring successful deployment and integration. In this role, you will work closely with customer success, sales, product, and engineering teams to deliver AI-driven solutions that drive measurable value for our customers.

*Location: Boston or San Francisco (Berkeley) hybrid role (2 day/week in-office) 

Key Responsibilities:

• Collaborate with the sales team to understand customer requirements and design tailored AI-driven solutions that meet their specific business needs.
• Serve as the technical expert during the post-sales process, providing product demonstrations, technical presentations, and answering detailed customer inquiries.
• Work closely with customers to assess their current systems and workflows, identifying integration points for our AI solutions.
• Develop and deliver customized product configurations and prototypes to demonstrate the value and functionality of our solutions.
• Assist in the implementation process by providing technical guidance, troubleshooting issues, and ensuring seamless integration with customer systems.
• Act as a liaison between customers and the product development team, communicating customer feedback and helping to shape future product features.
• Provide post-sales support to ensure customer satisfaction and continued product success.
• Create and maintain technical documentation, including integration guides, FAQs, and best practices.

Qualifications:

Must have

• 3+ years of experience in a solutions engineering or technical consulting role, preferably within the AI or technology sectors.
• Bachelor's degree in Computer Science, Engineering, or a related field.
• Extreme sense of ownership, urgency, and customer obsession to ensure that you will thrive in our early stage enterprise startup environment
• Experience with programming languages such as Python, Java, or similar, and familiarity with APIs, data integration, and cloud platforms.
• Strong technical background with experience in software development, system integration, and cloud-based solutions.
• Excellent communication and presentation skills, with the ability to clearly explain complex technical concepts to both technical and non-technical audiences.
• Proven ability to manage multiple customer engagements simultaneously, delivering high-quality results under tight deadlines.
• Strong problem-solving skills and a proactive approach to addressing customer challenges.

Nice to have

• Familiarity with AI, machine learning, and data analytics technologies and how they can be applied in enterprise environments.
• Experience in the insurance technology or financial services industries.
• Previous experience working in a startup or high-growth environment.
• Certifications in cloud platforms such as AWS, Google Cloud, or Azure.

Salary Range: $120,000-170,000 

The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.

Benefits:

• Competitive salary with equity options
• Flexible PTO
• 401(k) plan
• Comprehensive health, dental, and vision insurance
• Flexible work environment 
• Collaborative and innovative company culture

About Liberate:

Liberate builds AI agents to automate manual tasks for the $2.7T insurance industry. We started with voice — the hardest and most valuable channel in insurance — and are now expanding into full workflow automation across sales, servicing, and claims. Our long-term vision is to build reasoning agents capable of handling the entire spectrum of insurance carrier and broker operations. We've raised $72M to date, including a $50M Series B in October 2025, backed by top-tier venture firms.

Key Responsibilities

Location: Boston or San Francisco hybrid role (2 days/week in-office)

• Scope and Prioritize Use Cases: Collaborate with strategic accounts to identify and evaluate high-impact AI opportunities. Lead ideation and discovery workshops to uncover pain points, efficiency gaps, and automation potential.
• Lead Product Design Workshops: Facilitate co-design sessions with customers to translate business needs into AI agent workflows. Help customers envision what’s possible and chart a path to value.
• Author Agent Requirements: Work closely with internal teams to define clear, actionable requirements for our AI Agent Engineering team. Bridge the gap between customer needs and technical execution.
• Drive Customer Implementations: Own the end-to-end delivery of AI deployments for large enterprise customers. Manage timelines, expectations, and success metrics. Act as the primary interface between the customer and internal teams throughout implementation.
• Champion Customer Success: Ensure that solutions are adopted and deliver tangible value. Continuously monitor performance and recommend enhancements or optimizations, closely collaborating with our AI Customer Success Managers.

Qualifications

Must have

• Extreme sense of ownership, urgency, and customer obsession to ensure that you will thrive in our early stage enterprise startup environment
• 3-5 years of experience in customer-facing or hybrid technology roles such as enterprise product management, customer success, implementation management, strategy consulting, or solutions engineering
• Demonstrated ability to translate business requirements into technical specs or product briefs
• Proven ability to lead workshops and uncover customer needs in ambiguous environments
• Strong analytical and structured problem-solving skills
• Exceptional written and verbal communication skills, with the ability to influence both technical and non-technical stakeholders
• Exposure to implementation or deployment of enterprise SaaS solutions

Nice to have

• Experience working with AI/ML products, automation tools, or workflow optimization initiatives
• Prior experience in insurance, fintech, or highly regulated industries
• Familiarity with prompt engineering or agent-based AI systems
• Background in product design, service design, or business process design

Salary Range: $150,000-200,000 

The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.

Benefits:

• Competitive salary with equity options
• Flexible PTO
• 401(k) plan
• Comprehensive health, dental, and vision insurance
• Flexible work environment with remote work options
• Collaborative and innovative company culture

About Us:

Liberate builds AI agents to automate manual tasks for the $2.7T insurance industry. We started with voice — the hardest and most valuable channel in insurance — and are now expanding into full workflow automation across sales, servicing, and claims. Our long-term vision is to build reasoning agents capable of handling the entire spectrum of insurance carrier and broker operations. We've raised $72M to date, including a $50M Series B in October 2025, backed by top-tier venture firms.

Location: Boston or Bay Area, hybrid preferred (2x/week in office)

Reporting: VP Engineering, dotted line partnership with CPO, and Customer Success leadership

Mission
Build and scale Liberate’s forward deployed agent engineering function. Turn complex customer workflows into production grade agent deployments quickly, safely, and repeatably, while feeding product and platform improvements upstream.

What you will do

• Lead multiple forward deployed pods delivering customer facing agent workflows end to end.
• Build the operating system, intake and scoping, technical discovery, success metrics, deployment gating, and post launch validation.
• Define and enforce engineering quality bars for agent systems, eval coverage, reliability, and observability.
• Partner with Product to translate repeated customer patterns into roadmap priorities and platform primitives.
• Own planning cadence, monthly lookahead and quarterly execution, capacity, dependencies, and predictable delivery.
• Coach pod leads and senior engineers, hire and develop managers as needed.
• Stay hands on where it matters, debug hard issues, review designs, set the technical bar.

What we are looking for

• 10+ years in software engineering, 5+ in engineering leadership, ideally scaling customer facing or forward deployed teams.
• Strong systems instincts, distributed systems, APIs, reliability, production debugging.
• Comfort with AI agent systems, orchestration, evals, tool calling, safety patterns, and rapid iteration.
• Customer facing leadership presence, you can translate ambiguity into a plan and deliver.

Success looks like

• Faster time to production for new deployments, fewer surprises, higher reuse of patterns.
• Clear signal into platform, fewer one off builds, more leverage over time.
• Predictable delivery across pods with a consistent quality bar.
  
  

What you own

• Own outcomes for forward deployed agent delivery across multiple customers or verticals, reliability, eval quality, timeline predictability.
• Build the playbook, intake, scoping, deployment methodology, rollout gates, post launch learning loop.
• Set quality bars for agent systems, evals, safety patterns, observability, incident learnings, and what goes upstream into the platform.
• Staff and grow pod leads, coach senior ICs into leads, keep execution tight when teams are fluid.

Liberate builds AI agents to automate manual tasks for the $2.7T insurance industry. We started with voice — the hardest and most valuable channel in insurance — and are now expanding into full workflow automation across sales, servicing, and claims. Our long-term vision is to build reasoning agents capable of handling the entire spectrum of insurance carrier and broker operations. We've raised $72M to date, including a $50M Series B in October 2025, backed by top-tier venture firms.

Location: Boston or San Francisco (Berkeley), hybrid (2 days/week in office)

About the Role

As a Principal AI Agent Engineer, you define what “great” looks like for agent engineering at Liberate. You set the technical bar, shape how we deploy AI at scale, and ensure we build leverage instead of heroics.

You operate across customers, teams, and initiatives. You are trusted with the hardest problems, the messiest launches, and the highest-risk decisions. Your impact shows up not just in what you ship, but in how the organization gets stronger around you.

What You’ll Do

• Act as the technical authority for agent architecture, quality, and deployment
• Own the most complex and high-risk customer launches and recoveries
• Define standards for agent design, prompts, evals, monitoring, and launch readiness
• Identify systemic gaps and drive solutions that reduce repeat incidents and toil
• Partner closely with Platform, Data Science, and Product to shape agent strategy
• Design reusable frameworks that turn customer work into durable platform leverage
• Lead by example in reviews, incidents, retros, and hard tradeoff decisions
• Mentor Staff and Senior engineers and raise the bar across the org

What We’re Looking For

Must Have

• 10+ years of software engineering experience, including senior technical leadership
• Proven track record of owning large, ambiguous systems in production
• Deep understanding of system design, failure modes, and operational excellence
• Strong intuition for AI agent behavior, evaluation, and risk management
• Ability to set standards and influence without formal authority
• Calm, decisive leadership during incidents and crunch time
• High bar for quality, leverage, and long-term system health

Nice to Have

• Experience designing or scaling agentic or LLM-powered platforms
• Experience in regulated, high-stakes, or customer-facing systems
• Prior Staff/Principal/Distinguished-level experience at a strong engineering org
  
  

About Us:

Liberate builds AI agents to automate manual tasks for the $2.7T insurance industry. We started with voice — the hardest and most valuable channel in insurance — and are now expanding into full workflow automation across sales, servicing, and claims. Our long-term vision is to build reasoning agents capable of handling the entire spectrum of insurance carrier and broker operations. We've raised $72M to date, including a $50M Series B in October 2025, backed by top-tier venture firms.

Location: Boston or San Francisco (Berkeley), hybrid (2 days/week in office)

About the Role

As a Staff AI Agent Engineer, you are a force multiplier for customer deployments and agent quality. You own complex customer launches end to end and turn hard, bespoke problems into repeatable patterns. You operate with strong judgment, raise the engineering bar in the work, and reduce dependency on leadership by owning outcomes directly.

This role is hands-on, customer-facing, and deeply technical. You are not a solutions engineer. You are an engineer who ships.

What You’ll Do

• Own complex, high-impact agent deployments from design through production
• Design, build, and iterate on agent workflows, prompts, evals, and integrations
• Turn customer-specific learnings into reusable templates, playbooks, and patterns
• Partner with Product and Platform to influence roadmap based on real-world usage
• Debug and improve agent behavior using structured evals, monitoring, and analysis
• Lead technical reviews for agent design, launch readiness, and post-launch quality
• Mentor other Agent Engineers through example and direct coaching
• Raise the bar on engineering quality, operational rigor, and reuse in deployments

What We’re Looking For

Must Have

• 6+ years of professional software engineering experience
• Strong hands-on experience building and operating production systems
• Fluency in Python and modern backend systems (APIs, services, cloud)
• Experience working with LLM-based systems, prompts, tools, or agent frameworks
• Ability to reason about quality, failure modes, and operational risk
• Comfort working directly with customers on technically complex problems
• High ownership, good judgment, and the ability to operate under pressure

Nice to Have

• Experience with agentic systems, eval frameworks, or AI observability
• Prior work in B2B SaaS, enterprise software, or regulated environments
• Experience turning bespoke solutions into reusable systems

As a Marketing Manager at Compass you will shape Compass' local marketing team and our presence in the Cape Cod market. You will be responsible for managing the local marketing team while working closely with the New England Marketing team and Compass corporate marketing department to develop, oversee, and execute a local brand strategy and agent marketing services strategy. You will be the leader and visionary for Cape Cod Compass Marketing.

Please note this is in-office role in either our Boston, Hingham or Osterville office.

At Compass You Will:

• Lead a marketing team that effectively, efficiently, and intelligently handles all local marketing needs for our agents on Cape Cod, the Islands, and the surrounding coastal areas
• Lead strategy and execution for all agent branding and marketing to ensure cohesion with the Compass brand
• Analyze local media landscape and develop local media strategy (print and digital) in partnership with Senior Marketing Manager
• Partner with regional creative team across all platforms, including print and digital design, advertising campaigns, video content, and social media
• Analyze local marketing needs and remain up to date on local real estate market trends, forecasts, account analyses, and the competitive landscape to inform the evolution of Compass Cape Cod’s marketing presence
• Work with other regional marketing managers on cross-regional marketing opportunities
• Partner with Senior Marketing Manager on regional brand strategy and implementation of best practices across the region
• Identify and guide opportunities for building scalable systems that will allow the local offices to grow effectively
• Update and track marketing KPIs across internal dashboards, utilizing data to optimize the local and regional marketing team’s performance 

What We're Looking For:

• Collaborative, results-oriented leadership experience and approach
• 7+ years previous experience in a marketing or branding role; agency and creative production experience preferred
• 3+ years management experience leading cross-functional teams; change management experience a plus
• Excellent communication and presentation skills and acute attention to detail, allowing you to think big, adapt quickly, and act fast
• Expert-level understanding of marketing strategy and planning with the ability to identify the right tactics across a multitude of marketing channels (print, digital, social, content, direct mail, video, paid media, etc)
• Possesses the ability to establish credibility with key decision-makers and influencers
• Skilled communicator with great interpersonal skills, ability to build and manage relationships
• Great listening skills, connect well with others, and empathetic of the stakeholders’ and customers’ pain points
• Adept project manager; impeccable time management and prioritization skills
• Experience working in real estate marketing is a plus 
• Experience working in Adobe Suite and Workfront is a plus

The salary pay range for this position is $99,300-$110,300; however, the 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. 

As a Marketing Manager at Compass you will shape Compass' local marketing team and our presence in the Cape Cod market. You will be responsible for managing the local marketing team while working closely with the New England Marketing team and Compass corporate marketing department to develop, oversee, and execute a local brand strategy and agent marketing services strategy. You will be the leader and visionary for Cape Cod Compass Marketing.

Please note this is in-office role in either our Boston, Hingham or Osterville office.

At Compass You Will:

• Lead a marketing team that effectively, efficiently, and intelligently handles all local marketing needs for our agents on Cape Cod, the Islands, and the surrounding coastal areas
• Lead strategy and execution for all agent branding and marketing to ensure cohesion with the Compass brand
• Analyze local media landscape and develop local media strategy (print and digital) in partnership with Senior Marketing Manager
• Partner with regional creative team across all platforms, including print and digital design, advertising campaigns, video content, and social media
• Analyze local marketing needs and remain up to date on local real estate market trends, forecasts, account analyses, and the competitive landscape to inform the evolution of Compass Cape Cod’s marketing presence
• Work with other regional marketing managers on cross-regional marketing opportunities
• Partner with Senior Marketing Manager on regional brand strategy and implementation of best practices across the region
• Identify and guide opportunities for building scalable systems that will allow the local offices to grow effectively
• Update and track marketing KPIs across internal dashboards, utilizing data to optimize the local and regional marketing team’s performance 

What We're Looking For:

• Collaborative, results-oriented leadership experience and approach
• 7+ years previous experience in a marketing or branding role; agency and creative production experience preferred
• 3+ years management experience leading cross-functional teams; change management experience a plus
• Excellent communication and presentation skills and acute attention to detail, allowing you to think big, adapt quickly, and act fast
• Expert-level understanding of marketing strategy and planning with the ability to identify the right tactics across a multitude of marketing channels (print, digital, social, content, direct mail, video, paid media, etc)
• Possesses the ability to establish credibility with key decision-makers and influencers
• Skilled communicator with great interpersonal skills, ability to build and manage relationships
• Great listening skills, connect well with others, and empathetic of the stakeholders’ and customers’ pain points
• Adept project manager; impeccable time management and prioritization skills
• Experience working in real estate marketing is a plus 
• Experience working in Adobe Suite and Workfront is a plus

The salary pay range for this position is $99,300-$110,300; however, the 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. 

As a Marketing Manager at Compass you will shape Compass' local marketing team and our presence in the Cape Cod market. You will be responsible for managing the local marketing team while working closely with the New England Marketing team and Compass corporate marketing department to develop, oversee, and execute a local brand strategy and agent marketing services strategy. You will be the leader and visionary for Cape Cod Compass Marketing.

Please note this is in-office role in either our Boston, Hingham or Osterville office.

At Compass You Will:

• Lead a marketing team that effectively, efficiently, and intelligently handles all local marketing needs for our agents on Cape Cod, the Islands, and the surrounding coastal areas
• Lead strategy and execution for all agent branding and marketing to ensure cohesion with the Compass brand
• Analyze local media landscape and develop local media strategy (print and digital) in partnership with Senior Marketing Manager
• Partner with regional creative team across all platforms, including print and digital design, advertising campaigns, video content, and social media
• Analyze local marketing needs and remain up to date on local real estate market trends, forecasts, account analyses, and the competitive landscape to inform the evolution of Compass Cape Cod’s marketing presence
• Work with other regional marketing managers on cross-regional marketing opportunities
• Partner with Senior Marketing Manager on regional brand strategy and implementation of best practices across the region
• Identify and guide opportunities for building scalable systems that will allow the local offices to grow effectively
• Update and track marketing KPIs across internal dashboards, utilizing data to optimize the local and regional marketing team’s performance 

What We're Looking For:

• Collaborative, results-oriented leadership experience and approach
• 7+ years previous experience in a marketing or branding role; agency and creative production experience preferred
• 3+ years management experience leading cross-functional teams; change management experience a plus
• Excellent communication and presentation skills and acute attention to detail, allowing you to think big, adapt quickly, and act fast
• Expert-level understanding of marketing strategy and planning with the ability to identify the right tactics across a multitude of marketing channels (print, digital, social, content, direct mail, video, paid media, etc)
• Possesses the ability to establish credibility with key decision-makers and influencers
• Skilled communicator with great interpersonal skills, ability to build and manage relationships
• Great listening skills, connect well with others, and empathetic of the stakeholders’ and customers’ pain points
• Adept project manager; impeccable time management and prioritization skills
• Experience working in real estate marketing is a plus 
• Experience working in Adobe Suite and Workfront is a plus

The salary pay range for this position is $99,300-$110,300; however, the 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. 

Watch your engineering work come to life in landmark projects around the world when you partner with Syska Hennessy Group! As a global leader in consulting, engineering, and commissioning services, we specialize in highly technical buildings and the systems that bring them to life. We are seeking an experienced Senior Fire Protection/Fire Life Safety Engineer to join our team in our corporate office located in Boston, MA.

Our dynamic work environment provides the optimal setting to take your career to the next level. From our supportive culture, diverse workforce, and competitive compensation, to our flexible work schedules and fun social events, it’s everything you’ll need for an exciting, challenging, and rewarding career.

Job Responsibilities:

As a Fire Protection/Fire Life Safety Engineer, you will perform design engineering and provide system design support by working closely with all MEP disciplines to assure well-coordinated designs. This dynamic role will also involve consulting and interfacing with clients, architects, vendors, contractors, and authorities having jurisdiction. 

Additional Responsibilities:

• Conduct field surveys, system assessments, and system commissioning
• Attend coordination meetings and job sites
• Perform calculations under Supervising Engineer/Designer
• Produce clear and concise drawings consistent with client requirements and firm organization format and drawing standards
• Apply Codes and Standards to all designs (including working drawings and specifications)
• Conducting peer reviews and QA/QC oversight
• Perform code interpretation
• Assist in business development by expanding on current client relationships, cross selling Syska services and by attending industry and clients events

Job Requirements:

This is a great opportunity for a Fire Protection/Fire Life Safety Engineer with a large variety of facility types including Commercial, Industrial, Institutional, and Governmental buildings experience, as well as experience in critical facilities, storage facilities. In addition to your engineering experience, to succeed in this role, you will need a solid knowledge of fire protection systems design for various projects with the ability to communicate design concepts via drawings and specifications.  Experience in Fire Alarm, Standpipe/Sprinkler, VESDA, and Clean Agent system design is required; along with experience in the development of Fire Safety Plans; Fire, Smoke & Egress Modeling.

Engineer requirements:

• Bachelor's Degree from accredited college or university in Fire Protection, Electrical, or Mechanical Engineering discipline
• Minimum of 8+ years field experience with previous experience in Fire Protection and Fire Alarm System and FLS design.
• Knowledge of ICC, NFPA and Local codes and standards. Knowledge of NYC codes preferred
• NICET certification in Fire Alarm or Fire Protection systems, preferred, 
• Current P.E. or Fire Protection P.E.is REQUIRED.
• The ability to achieve security clearance from Federal Government (project specific)
• The ability to work independently or in a team environment effectively in a fast –paced, and challenging environment
• Open to traveling to various project locales
• Experience in using AutoCAD-MEP, and REVIT to develop designs
• Possesses strong interpersonal relationship skills and strong communications skills both verbal, written and presentation

Benefits:

As a Fire Protection Senior Engineer with Syska Hennessy Group, you will be part of a global firm with an amazing history! We are committed to being the best, to advancing engineering design practice, and to supporting our clients with integrity. To make all of that happen, we rely on the talent, drive, enthusiasm, and the total job satisfaction of the great people who work here.

As a member of our highly collaborative team, we provide you with a flexible benefits package that reflects our respect for your workplace contributions, professional goals, and personal priorities. The personal benefits program at Syska Hennessy Group includes:

• Robust, comprehensive medical, dental, vision, life insurance and supplemental benefit plans
• 401(k) plan with a generous employer matching program
• Training and professional development courses
• Professional development incentive bonuses
• Dynamic Employee Resource Groups
• Competitive Paid Time Off (PTO) policy
• Transit/parking employer stipend
• ½ day work from home Fridays all year long

At Syska, we have cultivated a community that supports learning and provides guidance for professional development and further our culture of excellence. We promote an environment that is committed to embedding diversity and equality into the core of our business and culture. We empower our employees so they can take ownership for their work and development and strive to continually improve themselves and our firm. We rely on the talent, drive, enthusiasm and the total job satisfaction of the great people who work here for our success! Syska is a place where you can build an exceptional career and have a lasting impact on the world.

Syska Hennessy Group – Creating Exceptional Environments

Compass seeks a Marketing Strategist (Marketing Advisor) to join the team that shapes all of our agents' marketing and branding projects from concept to execution. This team provides vital project management, strategic support, and empowers agents to achieve their marketing goals. You will deliver value that makes clients' marketing efforts more efficient, less time-consuming, and more impactful while collaborating with various stakeholders to create offerings and strategies that positively affect the agent experience on a 'big picture’ scale.

Please note: this role is 100% in-office in either Boston, Cambridge, or Wellesley MA.

At Compass You Will:

• Support the execution of marketing initiatives for a diverse portfolio of real estate agents, driving business growth and client satisfaction.
• Project-manage custom marketing requests end-to-end, including design workflow oversight, vendor coordination, agent communication, and post-campaign reporting.
• Develop marketing strategies and recommendations that cut through the noise and allow agents to maximize their budget effectiveness against tactics that grow their business and achieve their goals; this includes branding, print advertising, digital, social, direct mail, video, paid media, etc.
• Serve as a subject matter expert with a deep understanding of market performance, client needs, Compass tools, and regional dynamics.
• Build strong, empathetic relationships with agents and stakeholders through clear communication, proactive updates, and confident handling of objections.
• Ensure all marketing and design materials follow Compass brand guidelines while seamlessly integrating agent-specific branding.
• Quickly assemble templated creative assets—such as print ads and brochures—using InDesign and Compass systems, ensuring high-quality, on-brand execution.
• Deliver exceptional customer service by providing meaningful support, personalized recognition, and proactive marketing guidance that “surprises and delights” clients.
• Act as a culture carrier who inspires and empowers teammates through a positive, solutions-oriented mindset and a willingness to champion change.

What We Are Looking For:

• 2-5 years of marketing experience.
• Skilled communicator with great interpersonal skills, possessing the ability to clearly articulate and educate on marketing concepts in various settings (1:1 or public speaking) while building relationships.
• Possess a deep understanding of marketing strategy and planning with the ability to identify the right tactics across a multitude of marketing channels.
• Excellent project management skills with a proven track record of meeting deadlines.
• Ability to work independently, taking ownership over your own accounts while working collaboratively in a team environment to drive best practices.
• Meticulous attention to detail, highly organized
• Comfortable with a fast-paced environment, evolving responsibilities, and wearing multiple hats.
• Passionate about the intersection of marketing and technology, and you have the ability to speak to the benefits of it.
• Proficiency in Adobe Creative Suite, specifically InDesign.
• Prior real estate industry and/or agency experience preferred.

The salary pay range for this position is $61,400 - $68,200; however, the 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. 

Compass seeks a Marketing Advisor to join the team that shapes all of our agents' marketing and branding projects from concept to execution. This team provides vital project management, strategic support, and empowers agents to achieve their marketing goals. You will deliver value that makes clients' marketing efforts more efficient, less time-consuming, and more impactful while collaborating with various stakeholders to create offerings and strategies that positively affect the agent experience on a 'big picture’ scale.

Please note: this role is 100% in-office in either Boston, Cambridge, or Wellesley MA.

At Compass You Will:

• Support the execution of marketing initiatives for a diverse portfolio of real estate agents, driving business growth and client satisfaction.
• Project-manage custom marketing requests end-to-end, including design workflow oversight, vendor coordination, agent communication, and post-campaign reporting.
• Develop marketing strategies and recommendations that cut through the noise and allow agents to maximize their budget effectiveness against tactics that grow their business and achieve their goals; this includes branding, print advertising, digital, social, direct mail, video, paid media, etc.
• Serve as a subject matter expert with a deep understanding of market performance, client needs, Compass tools, and regional dynamics.
• Build strong, empathetic relationships with agents and stakeholders through clear communication, proactive updates, and confident handling of objections.
• Ensure all marketing and design materials follow Compass brand guidelines while seamlessly integrating agent-specific branding.
• Quickly assemble templated creative assets—such as print ads and brochures—using InDesign and Compass systems, ensuring high-quality, on-brand execution.
• Deliver exceptional customer service by providing meaningful support, personalized recognition, and proactive marketing guidance that “surprises and delights” clients.
• Act as a culture carrier who inspires and empowers teammates through a positive, solutions-oriented mindset and a willingness to champion change.

What We Are Looking For:

• 2-5 years of marketing experience.
• Skilled communicator with great interpersonal skills, possessing the ability to clearly articulate and educate on marketing concepts in various settings (1:1 or public speaking) while building relationships.
• Possess a deep understanding of marketing strategy and planning with the ability to identify the right tactics across a multitude of marketing channels.
• Excellent project management skills with a proven track record of meeting deadlines.
• Ability to work independently, taking ownership over your own accounts while working collaboratively in a team environment to drive best practices.
• Meticulous attention to detail, highly organized
• Comfortable with a fast-paced environment, evolving responsibilities, and wearing multiple hats.
• Passionate about the intersection of marketing and technology, and you have the ability to speak to the benefits of it.
• Proficiency in Adobe Creative Suite, specifically InDesign.
• Prior real estate industry and/or agency experience preferred.

The salary pay range for this position is $61,400 - $68,200; however, the 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. 

Title of role: Program Manager, Member Services Content & Communications
Location: Remote but if in NY/ Boston (2 days in office)
Approved Salary Range: $95,000-$115,000

About the Role:

The Program Manager, Content & Communications plays a critical role in enabling a luxury customer experience by developing clear, engaging, and effective content for both member services agents and members. This role is responsible for training content creation, agent-facing knowledge resources, and member-facing help content.

This role partners closely with MS Training, MS Operations, and MS Operations Excellence teams to ensure content is accurate, timely, scalable, and aligned with both operational needs and luxury brand standards.

Key Responsibilities:

• Training & Agent Enablement

  • Design, develop, and maintain training materials for customer service agents, including onboarding, refresher training, process updates, and learning modules.
  • Develop refresher modules and tips/tricks series to keep tenured agents sharp and engaged
  • Translate complex policies, systems, and workflows into clear, actionable training content that supports agent confidence and performance.
  • Partner with Training and Operations leaders to identify content gaps and continuously improve learning effectiveness and agent readiness.
  • Move beyond text-heavy desks and create engaging content using videos, interactive modules, infographics, and gamified learning that caters to diverse learning styles

  Agent-Facing Knowledge & Help Content

  • Own and maintain agent-facing knowledge base articles, job aids, and standard operating procedures ensuring ease of navigation, accuracy, and optimization
  • Collaborate with cross-functional partners to create content related to policy updates, tool enhancements, and operational changes.
  • Ensure agent-facing content is structured, standardized, and optimized for AI-powered tools to enable accurate, consistent, and context-aware support at scale while maintaining a high-quality agent & member experience.

  Member-Facing Service Content

  • Create and update member-facing content, including Help Center articles, FAQs, policy explanations, and transactional messaging to reduce friction and promote self-service
  • Ensure all member-facing content reflects the luxury brand voice while clearly setting expectations and helping reduce inbound contacts.
  • Ensure member-facing content is structured, standardized, and optimized for AI-powered tools to enable accurate, consistent, and context-aware support at scale while maintaining a high-quality member experience.

  Agent Facing Communication

  • Support internal communications and engagement initiatives within the Member Service organization, including change communications, operational updates, and recognition content.
  • Curate Flash Alerts and Reminders to ensure agents are aware of recent changes, outages, or policy shifts.

  Content Governance & Optimization

  • Establish content standards, templates, and best practices across training, agent-facing, and member-facing materials.
  • Track content performance and engagement metrics (e.g., article usage, training completion, contact drivers) and use insights to iterate and improve effectiveness.
  • Manage content calendars, updates, and version control to ensure consistency across channels and audiences.

Experience and Background Needed:

• • Strong writing and editing skills with the ability to adapt tone for agents, internal stakeholders, and luxury consumers.
  • Experience in creating training materials, knowledge base content, or internal communications in a customer service or e-commerce environment.
  • Strong cross-functional collaboration and stakeholder management skills.
  • Comfort working in a fast-paced, evolving environment with multiple priorities.
  • Proficiency with content creation tools (e.g., Gemini, LM Notebook, Canva, Loom, Camtasia, or Articulate) to build visually compelling content and training.

• Education

  • Bachelor’s degree in communications, marketing, education, organizational development or related field required

  Years of experience

  • 3-5 years’ experience in content creation, communications, knowledge management, training, curriculum design

  Technical skills

  • Knowledge management platforms
  • Experience leveraging AI tools to support content creation, editing, summarization, and optimization while maintaining quality, accuracy, and brand voice.
  • Experience optimizing content for AI-driven search and automation
  • Ability to use data to inform content gaps and performance

The above statements are intended to describe the general nature and level of work being performed by employee(s) assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required of employee(s) assigned to this job. Rue Gilt Groupe reserves the right at any time, with or without notice, to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities within your general skill set or capabilities. Rue Gilt Groupe is proud to be an Equal Opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

What We Offer:

Rue Gilt Groupe is committed to providing Associates with equal pay for equal work and carefully considers a wide range of compensation factors, including but not limited to, prior experience, education, certification(s), license(s), skills and expertise, location, internal equity, and other factors that are job related and consistent with business need. Our goal is to support, reward and compensate the entire individual. Depending on role eligibility, your offer may also include bonus/commission, stock options, 401(k) participation, paid time off, medical, dental, vision and basic life insurance. Therefore, final offer amounts may vary from the amount stated.

We Encourage You to Apply:

At Rue Gilt Groupe, diversity enriches our passion, collaboration, kindness and innovation. We’re committed to fostering an inclusive environment where every Associate is empowered to learn, grow and bring their full self to work. Even if you don't check off every qualification in the job description, that's okay. We encourage you to apply to any role that excites you and sparks delight! We can't wait to learn more about you.

Work Authorization
Rue Gilt Groupe requires all applicants to be currently authorized to work in the United States on a full-time basis. This position is not eligible for visa sponsorship now or in the future. Rue Gilt Groupe is an Equal Opportunity Employer and will consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, or protected veteran status.

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.

About the Team

• This role is part of our Data Science team which is the largest team in our organization consisting of over 200+ Data Scientists throughout the world.
• Our Data Scientists work in a full lifecycle role and on a broad range of subjects acquiring extensive technical and professional experience in data science, data engineering, coding, business understanding and client engagement.
• Our company is small enough that each person’s achievements has an impact on our overall performance, yet big enough to be a world leader and innovator in our domain.
• As a member of the data science team, you will be working alongside our technical experts and your role will be key to rolling out our enterprise level solutions to our clients.

Key Responsibilities

• Your role will be to actively contribute to the US- Insurance roadmap and clients, and working on various data types such as structured data, free text, documents and images. 
• Build and productionize data pipelines (structured, text, documents, images) optimized for LLMs and multi-modal models.
• Design, develop and deploy LLM-based solutions (RAG, embeddings, instruction tuning) for subrogation, claims handling, document understanding, and related use cases.
• Experiment with the latest in Agentic AI technologies (Langchain/Langgraph, OpenAI Agent SDK, MCP, A2A) and develop MVP for the next generation of autonomous subrogation solutions.
• Develop "Chain-of-Thought" and "ReAct" prompting strategies to ensure the agent can justify its liability percentages based on the Comparative Negligence laws of different jurisdictions.
• Create custom "tools" for the agent, allowing it to query internal databases, call external weather APIs, or calculate impact force based on telemetry data.
• Establish rigorous evaluation frameworks (LLM-as-a-judge) to ensure the agent’s decisions are unbiased, legally sound, and explainable.
• Ensure responsible-AI practices: privacy, hallucination mitigation, explainability and compliance.
• Lead client workshops, present prototypes, gather feedback and help define roadmap priorities.

WHAT WE ARE LOOKING FOR

We are looking for candidates with diverse skills to help us build excellent technology solutions for our clients and be proficient in the following skills:

• Expert proficiency in production-level object-oriented programming (OOP) for building scalable and reliable systems.
• Proven hands-on experience with Large Language Models (LLMs) and generative AI techniques (including RAG, embeddings, prompt engineering, and model tuning), leveraging frameworks such as OpenAI/Anthropic or open-source variants.
• Solid foundation in ML fundamentals with practical experience in the full machine learning lifecycle, including model evaluation, monitoring, versioning, and deployment in production environments.
• Experience designing and implementing robust data pipelines for document, OCR, and multi-modal data workflows.
• Agentic Frameworks: Experience with integrating frameworks like LangChain/LangGraph, OpenAI Agent SDK, CrewAI, A2A/MCP with Databricks or Azure-hosted models (e.g., DBRX, OpenAI GPT-5.3, Anthropic Claude, Google Gemini).
• Demonstrated ability to effectively engage with clients, translate complex business needs into clear, actionable technical solutions, and manage stakeholder expectations.

Highly Desired Skills

• Databricks Ecosystem: Deep expertise in Mosaic AI (formerly MosaicML), Unity Catalog, and Delta Lake.  Good understanding of Spark data architecture is a plus.
• Experience using MLflow for the full lifecycle: from experiment tracking and prompt engineering in the AI Playground to model evaluation.

 #LI-MG1

How you will make an impact:

We are looking for an Engineering Manager to lead the team responsible for building agentic experiences and integrating AI-powered capabilities into the core Iterable application. This team owns the application-facing development that turns emerging AI capabilities into reliable, usable product features.

In this role, you will guide a group of frontend, backend, and applied engineers working on conversational workflows, orchestration layers, and AI-enabled product surfaces. You will balance people leadership with strong technical judgment, helping the team deliver high-quality features while navigating ambiguity and evolving requirements in a fast-moving product area. This role sits within the broader Nova initiative and plays a key part in shaping how intelligent experiences appear across the Iterable platform.

One of our core values is a growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description.

How You Will Make a Difference:

• Lead and support a team of engineers building agentic and AI-enabled product experiences.
• Partner closely with Product, Design, and Data Science leadership to translate AI capabilities into scalable, user-facing experiences.
• Guide the design and implementation of agent workflows, orchestration logic, and application integrations.
• Ensure AI-powered features are reliable, observable, secure, and ready for production use.
• Drive execution across multiple initiatives, balancing short-term delivery with sustainable technical direction.
• Foster strong engineering practices around code quality, testing, documentation, and iterative delivery.
• Coach and mentor engineers, supporting career growth and healthy team dynamics.
• Collaborate with other engineering and data teams to align on interfaces, dependencies, and shared goals.
• Contribute to hiring and onboarding as the team grows.

We Are Looking for People Who:

• Have at least 5 years of hands-on software development experience.
• Have at least 3 years of experience managing and growing software engineering teams.
• Strong background in application or platform engineering, ideally in a SaaS environment.
• Experience leading teams that integrate AI or ML-powered capabilities into production systems.
• Comfort operating at the intersection of product, platform, and data science teams.
• Strong technical judgment across system design, APIs, distributed systems, and developer workflows.
• Experience working with modern backend and frontend stacks.
• Ability to navigate ambiguity, make pragmatic trade-offs, and drive execution across multiple initiatives.
• Excellent communication skills and ability to align technical work with business and product goals.

Bonus Points:

• Experience leading teams building agentic or LLM-powered product experiences.
• Familiarity with agent frameworks such as Mastra or similar orchestration tools.
• Prior work on decisioning engines, rules engines, or real-time personalization systems.
• Experience collaborating closely with Data Science and ML teams on production integrations.
• Background in marketing technology or customer engagement platforms.
• Experience scaling teams and systems in a remote-first environment.

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $156,000 - $242,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

Position Overview:

We are looking for a Senior Full-Stack Engineer to join the team building Nova’s agentic experiences within the Iterable platform. This team is responsible for the full end-to-end development of conversational and agent-driven workflows, including the interaction surfaces, orchestration layers, and core platform integrations that make these experiences seamless and intuitive for users.

In this role, you will work across the stack to build both frontend and backend components that bring agentic capabilities to life. You will collaborate closely with design, product, and engineering partners to deliver high-quality, user-centered features. This position is well-suited for someone who enjoys solving complex product and technical problems, can navigate ambiguity, and brings a strong sense of ownership to their work.

Responsibilities:

• Build and iterate on the frontend and backend components that power agentic user experiences.
• Collaborate with design and product teams to create intuitive, conversational interaction patterns.
• Work across the stack to integrate frontend workflows with backend services, platform APIs, and internal tooling.
• Contribute to the evolution of underlying frameworks, including agent workflows and supporting infrastructure.
• Participate in architectural and design discussions to ensure solutions are scalable, maintainable, and aligned with product goals.
• Write high-quality, well-tested code and help refine engineering standards and best practices.
• Debug production issues, improve observability, and contribute to system reliability.
• Partner with other engineers to deliver features from concept to production, including technical design, implementation, testing, and rollout.

Qualifications:

• 5+ years of experience building full-stack applications in production environments.
• Strong proficiency with TypeScript and experience working across both frontend and backend systems.
• Experience with modern frontend frameworks (React preferred) and backend application development.
• Ability to design clean, maintainable APIs and internal interfaces.
• Strong collaboration skills and comfort working closely with product and design.
• Ability to operate independently, manage ambiguity, and drive work to completion.
• Interest in building intelligent, agent-driven experiences, even without prior LLM experience.

Bonus Points

• Experience contributing to or building internal frameworks or developer tooling.
• Familiarity with agent frameworks, agentic patterns, or LLM tool-calling workflows.
• Strong intuition for UI/UX quality in interactive interfaces.
• Experience with observability, performance tuning, or production debugging at scale.
• Experience with event-driven or distributed systems.
• Prior experience working in remote-first engineering environments.

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $133,500 - $212,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

Position Overview:

We are looking for a Senior Machine Learning Engineer to build the core Machine Learning foundations that power Nova’s agentic experiences. This role focuses on applied Machine Learning in production environments: retrieval systems, evaluation frameworks, and model integration layers that make AI features reliable, scalable, and repeatable. You will design and implement the underlying components that support rich, intelligent interactions in the Iterable platform.

You will work closely with backend, frontend, and product teams to shape how Machine Learning is introduced and maintained across the company. The work blends hands-on engineering with system design, and is ideal for someone who can drive complex efforts independently, make practical architectural decisions, and collaborate in a fast-moving, cross-functional product environment.

Responsibilities:

• Design and build Machine Learning platform components that support agentic systems, including retrieval pipelines, indexing strategies, and model integration layers.
• Introduce and operationalize RAG use cases, from data sourcing and embedding generation to runtime retrieval patterns.
• Develop generalized evaluation frameworks for LLM- and agent-based features, including offline metrics, golden datasets, and continuous monitoring.
• Implement abstractions, tooling, and reusable patterns that enable other teams to build ML- and LLM-powered experiences efficiently.
• Partner with backend engineers to productionize ML features with strong reliability, observability, and performance characteristics.
• Prototype applied ML solutions to validate feasibility before investing in full builds.
• Ensure secure, robust handling of data used in ML workflows and retrieval operations.
• Collaborate with product, design, and engineering to align ML system design with user experience and product goals.
• Contribute to iterative improvements of the Nova agent framework, including workflows built with Mastra and TypeScript.

Qualifications:

• 5+ years experience as a Machine Learning Engineer or similar role focused on production systems.
• Strong engineering skills with Python or TypeScript, including experience building ML workflows in frameworks like Mastra or comparable agent/LLM toolkits.
• Experience with retrieval systems, vector databases, search technologies, or RAG architectures.
• Prior work integrating ML or LLM-powered features into production applications.
• Understanding of ML evaluation techniques, experimentation design, and failure analysis.
• Ability to lead complex projects, make practical trade-offs, and work independently in areas of ambiguity.
• Strong communication and collaboration skills in a distributed environment.

Bonus Points

• Experience building ML or LLM platforms, tooling, or developer-facing frameworks.
• Prior work with embeddings, search–ranking systems, or advanced RAG architectures.
• Familiarity with event-driven systems or streaming architectures.
• Experience with model observability, performance monitoring, or proactive regression detection.
• Background in personalization, recommendations, or applied NLP.
• Experience working in remote-first engineering teams.

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $133,500 - $212,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.