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Location: Chicago, IL or Remote CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy , creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We’re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey. Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com . The Role As an Engineering Manager you'll lead one of our new AI product teams and own delivery, hiring, and people. You'll start with a small, senior team, and your first big job is hiring the engineers who will grow it. You'll partner with product as an equal, turn an ambitious strategy into a plan your team can execute, and make sure the quality of what you ship is measured. You stay close to the technology: you can review a design doc, read a pull request, and judge when an AI feature is ready for customers. Key Responsibilities: Hire, grow, and retain a strong team of software, ML, and AI engineers, with clear feedback and fair performance and career conversations Own delivery: planning, priorities, execution, and production quality, with metrics that show how the team and its products are doing Partner with product and domain experts to shape the roadmap, and lead across teams Set how the team uses AI-assisted and agentic engineering tools, and model it yourself Requirements: Typically 8+ years in software engineering, including 3+ years managing engineers Experience shipping AI, ML, or LLM-powered products to production, with enough hands-on depth in TypeScript, Python, and AI-assisted tools to make sound technical calls A track record of hiring well and growing teams A data-driven approach: you use metrics to run your team and to judge whether what you ship is working Comfort leading across more than one reporting line, and strong written communication with executives Nice to have Experience running a platform team whose customers are other engineering teams Interview Policy & Privacy Notice: A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available HERE . About CCC's Commitment to Employees: CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most. At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success. CCC offers competitive compensation and benefits to support you and your families, including: 401K Match Paid time off Annual Incentive Plan Performance Bonus Comprehensive health insurance Adoption Assistance Tuition Reimbursement Wellness Programs Stock Purchase Plan options Employee Resource Groups For more information about our benefits, please check out our careers site . Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture here

Location: Chicago, IL or Remote CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy , creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We’re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey. Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com . The Role As a Senior AI Engineer you will own LLM-powered systems and agentic workflows for our customers. These systems automate the routine parts of a claim and guide customers on the rest, so they have to earn that trust with a measured accuracy you can defend as models change and usage grows. Agents run as steps inside deterministic workflows, and privacy and security are design baselines, not review gates. Agentic coding tools are how you move fast. What you add is what they are worst at: system architecture, code quality, security, and the debugging nobody else gets to the bottom of. You own a product area end to end and define the eval bar it ships against. Salary range is: $180,000 - 225,000 This position is bonus eligible. Key Responsibilities: Own the delivery of LLM-powered systems in Python and TypeScript, from an ambiguous customer problem, scoped with product managers and data scientists, through production operation. Set the evals and guardrails strategy for your area: what gates a release, what production signals the team watches, and how a change is simulated against historical claims before it ships. Raise the bar for how the team works with agentic coding tools: sharpen the specifications, instruction files, hooks, and permission policies they run under, and hold generated code to the same review standard before it merges. Design the NLP pipelines that turn unstructured claim data into structured data customers can act on, choosing where semantic search, classical NLP, or an LLM fits. Build and operate durable, event-driven, multi-tenant systems in which agents run as steps inside deterministic workflows, designing their failure modes, replay semantics, and cost profile before they show up under load. Own tracing and audit for your area: every model call and agent step recorded, so any recommendation can be reconstructed and cited back to its sources by on-call and auditors alike. Set the privacy and security baseline every system in your area starts from: tenant isolation, least-privilege access for agents and their tools, redaction, retention, and what data may reach a model provider. Author the design documents for complex systems to get feedback and buy-in, review other engineers' designs and code with the same care, and mentor the engineers in your area. Take part in a shared on-call rotation for the systems you own. Requirements: 6+ years of professional software engineering experience, including an LLM-powered system you architected, shipped to external customers, and carried through at least one model or prompt migration. Python and TypeScript at the level of setting a team's conventions: the async model, typing strictness, and test strategy for a shared codebase, plus a performance problem you profiled and fixed. An evals and guardrails strategy you set for a product area others built in: where human approval was required, and how production corrections re-entered the evals. A clear account of how you constrain an agentic coding tool's context and verify its output, from daily use of Claude Code, Cursor, GitHub Copilot, or similar on production work, plus changes you turned back, and why. Pipelines you designed that blend LLMs, semantic search, and classical NLP, including a retrieval design you can defend and a case where a classical technique beat an LLM on cost, latency, or reliability. Durable, event-driven systems you designed with deterministic orchestration around non-deterministic model steps: compensating actions, idempotency, backpressure, and event-sourced replay. Data modeling and development across relational, document, and graph databases such as PostgreSQL, MongoDB, and Neo4j, including when each type fits and the partition-key, consistency, and tenant-isolation calls you made. Systems architected and operated on Azure or AWS, with CI/CD and infrastructure as code, and hands-on time with a durable workflow engine such as Temporal or the Durable Task Scheduler. Technical design documents you have authored for systems that span more than one team, used to get feedback and buy-in before building, and that those teams then built to. Clear writing and discussion for technical and non-technical audiences: drawing out a customer's real problem and explaining the trade-offs back to them. Even Better if You Have: React and TypeScript experience, so you can deliver a full-stack feature end to end, especially chat, streaming, and citation-heavy AI experiences. Experience with agent frameworks, LangGraph, PydanticAI, and the Microsoft Agent Framework among them, and with the ways agents reach their tools: the Model Context Protocol (MCP), the Agent2Agent (A2A) protocol, command-line tools, and microservices. Experience with LLM observability and evaluation tooling such as LangSmith, Arize, or Braintrust, and with OpenTelemetry-based tracing. Experience designing A/B tests for AI features. Exposure to the insurance, claims, or automotive repair domains. What Success Looks Like: In your first six months, every model change in your area is gated by evals you designed, regressions are caught before a customer sees them, and you can show the accuracy number held or moved. You are trusted with the high-stakes, ambiguous problems, and you turn them into a roadmap, a shipped system, and a number you can put in front of a customer. You are energized by what agentic coding tools make possible. Your team ships more than its headcount suggests, and your specifications and reviews are why the output survives production. You have a passion for systems that last: the ones you design have their failure modes understood in advance, and when one fails anyway, the trace says exactly where. Privacy and security reviews of systems in your area find nothing that was not already designed in. Standards you set for evals, reviews, and design documents outlive the project they started on. Engineers you mentor ship LLM-powered features with evals and guardrails in place without your direct involvement. You enjoy getting a product manager, a data scientist, and a customer's team into one room and coming out with a single agreed scope, and you can argue a position without needing to win it. You embrace our ambitious, collaborative, and empathetic values, and you like problems where the answer has to be measured rather than argued. Interview Policy & Privacy Notice: A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available HERE . About CCC's Commitment to Employees: CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most. At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success. CCC offers competitive compensation and benefits to support you and your families, including: 401K Match Paid time off Annual Incentive Plan Performance Bonus Comprehensive health insurance Adoption Assistance Tuition Reimbursement Wellness Programs Stock Purchase Plan options Employee Resource Groups For more information about our benefits, please check out our careers site . Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture here

Location: Chicago, IL or Remote CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy , creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We’re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey. Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com . The Role As an AI Engineer you will build and ship LLM-powered features and agentic workflows for our customers. These features automate the routine parts of a claim and guide customers on the rest, so they have to earn that trust with measured accuracy, not a convincing demo. Agents run as steps inside deterministic workflows, and privacy and security are design baselines, not review gates. Agentic coding tools are how you move fast. What you add is what they are worst at: system design, security, and hard debugging. You own features end to end. Salary range is: $170,000 - 195,000 This position is bonus eligible. Key Responsibilities: Ship LLM-powered features and agentic workflows in Python and TypeScript, from a problem scoped with product managers and data scientists through production traffic, and help set the metrics you will be measured against. Write the evals, guardrails, and feedback loops that make your features trustworthy, and hold them to explicit token and latency budgets. Use agentic coding tools every day, and own the review of what they produce: catch the correctness, security, and design problems in generated code before you open the pull request. Maintain and extend the NLP pipelines that turn unstructured claim data into structured data customers can act on, blending semantic search, classical NLP, and LLMs. Build and operate durable, event-driven services in which agents run as steps inside deterministic workflows, with checkpointed model outputs so a retry does not re-invoke a completed LLM step. Trace every model call and agent step so a recommendation can be reconstructed and audited, with citations back to the source documents, and wire that tracing into your alerts. Model and query claims data across relational, document, and graph stores. Design privacy and security in from the start: tenant isolation, least-privilege access for agents and their tools, and a clear rule for what data may reach a model provider. Write a technical design document before any significant change, and use it to get feedback and buy-in from the team before you build. Take part in a shared on-call rotation for the services you build. Requirements: 3+ years of professional software engineering experience, including at least one LLM-powered feature you shipped and then operated in production. Python and TypeScript: typed, tested, async code in both, and real depth in one. Evals you have designed for LLM output, plus guardrails you have shipped. A clear account of how you constrain an agentic coding tool's context and verify its output, from daily use of Claude Code, Cursor, GitHub Copilot, or similar on production work. Pipelines that blend LLMs with semantic search and classical NLP: structured output, tool calling, embedding-based retrieval, and a case where a classical technique beat an LLM. Services built on message- or event-driven architectures, including long-running workflows with retries, idempotent handlers, and event-sourced state, plus an LLM or agent step you ran inside one. Data modeling and development across relational, document, and graph databases such as PostgreSQL, MongoDB, and Neo4j, including when each type fits and the partition-key, consistency, and tenant-isolation calls you made. Backend services built and operated on Azure or AWS, and exposure to a durable workflow engine such as Temporal or the Durable Task Scheduler. Technical design documents you have written to get feedback and buy-in from a team before building, and that the team then built to. Clear writing and discussion for technical and non-technical audiences, and code review you can give as well as take. Even Better if You Have: React and TypeScript experience, so you can deliver a full-stack feature end to end. Chat, streaming, and citation-heavy AI experiences especially. Experience with CI/CD pipelines and infrastructure as code such as Terraform or Bicep. Experience with agent frameworks, LangGraph and the Microsoft Agent Framework among them, and with the ways agents reach their tools: the Model Context Protocol (MCP), the Agent2Agent (A2A) protocol, command-line tools, and microservices. Experience with LLM observability and evaluation tooling such as LangSmith, Arize, or Braintrust, and with OpenTelemetry-based tracing. Experience designing A/B tests for AI features, or what-if simulations that replay historical claims through a proposed change before it ships. Exposure to the insurance, claims, or automotive repair domains. What Success Looks Like: In your first six months you ship an LLM-powered feature, its evals run in CI, and you can name the metric it moved. When a model migration or prompt change causes a regression, the evals you wrote catch it before a customer does. You take ownership from concept to production with light direction, asking the right questions early. You care that things hold up: the services you build survive retries, partial failures, and model migrations without incidents a customer can see. When something goes wrong in production, the trace tells you which step and which model call, and you can show an auditor the same thing. Privacy and security reviews of your features find nothing that was not already designed in. You enjoy the craft, and it shows: engineers pick up your patterns without being told to. You enjoy the back-and-forth that gets a feature scoped, and you can argue a position without needing to win it. You embrace our ambitious, collaborative, and empathetic values, and you like problems where the answer has to be measured rather than argued. Interview Policy & Privacy Notice: A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available HERE . About CCC's Commitment to Employees: CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most. At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success. CCC offers competitive compensation and benefits to support you and your families, including: 401K Match Paid time off Annual Incentive Plan Performance Bonus Comprehensive health insurance Adoption Assistance Tuition Reimbursement Wellness Programs Stock Purchase Plan options Employee Resource Groups For more information about our benefits, please check out our careers site . Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture here

Location: New York, Chicago, or Remote CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy , creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We’re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey. Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com . The Role As a Senior Software Engineer - Agentic you will build the event-driven systems that keep claims moving for our customers, connecting our AI agents to the rest of CCC. When these systems work, claims move faster and the machinery stays invisible. Agentic coding tools are how you move fast. What you add is what they are worst at: distributed-systems design, correctness when things fail partway, and the debugging nobody else gets to the bottom of. You own a product area end to end and define the reliability bar it ships against. Salary range is: $180,000 - 225,000 This position is bonus eligible. Key Responsibilities: Own the delivery of backend services, built in Python and TypeScript, from an ambiguous problem, scoped with product managers and data scientists, through production operation. Build and operate durable, event-driven, multi-tenant systems in which agents run as steps inside deterministic workflows, designing their failure modes, replay semantics, and cost profile before they show up under load. Own tracing and audit for your area: every model call and agent step recorded, so any recommendation can be reconstructed and cited back to its sources by on-call and auditors alike. Own how claims automation data is modeled and managed across our relational, document, and graph stores. Ensure the security and isolation of sensitive data. Author the design documents for complex systems to get feedback and buy-in, review other engineers' designs and code with the same care, and mentor the engineers in your area. Raise the bar for how the team works with agentic coding tools: sharpen the specifications, instruction files, hooks, and permission policies they run under, and hold generated code to the same review standard before it merges. Take part in a shared on-call rotation for the systems you own. Requirements: 6+ years of professional software engineering experience, including an event-driven system you designed, shipped to customers, and ran in production. Python and TypeScript at the level of setting a team's conventions, plus a background in a systems language such as Rust, Go, Java, or C#. Strong computer science and distributed-systems fundamentals you use at work: concurrency, consistency, ordering, and how systems fail. Event-driven systems built on a broker such as Kafka, Azure Event Hubs, or Service Bus that handle duplicate, late, and failed events without losing or double-processing work. Data modeling and development across relational, document, and graph databases such as PostgreSQL, MongoDB, and Neo4j, including when each type fits and the partition-key, consistency, and tenant-isolation calls you made. Systems architected and operated on Azure or AWS, with CI/CD and infrastructure as code, and hands-on time with a durable workflow engine such as Temporal or the Durable Task Scheduler. A clear account of how you constrain an agentic coding tool's context and verify its output, from daily use of Claude Code, Cursor, GitHub Copilot, or similar on production work, plus changes you turned back, and why. Technical design documents you have authored for systems that span more than one team, used to get feedback and buy-in before building, and that those teams then built to. Clear writing and discussion for technical and non-technical audiences: drawing out a customer's real problem and explaining the trade-offs back to them. Even Better if You Have: React and TypeScript experience, so you can deliver a full-stack feature end to end, especially chat, streaming, and citation-heavy AI experiences. Formal methods or fault-injection testing, such as Lean, TLA+, or deterministic simulation. Performance work below the application layer: profiling, memory, and concurrency tuning. Familiarity with how AI agents reach their tools and enterprise systems, through the Model Context Protocol (MCP), the Agent2Agent (A2A) protocol, command-line tools, and microservices. Exposure to the insurance, claims, or automotive repair domains. What Success Looks Like: In your first six months, services you built run in production against SLOs you set, and you can show they held as load grew. You are trusted with the hardest correctness and scale problems, and you turn them into a design, a shipped system, and a number you can put in front of a customer. You are energized by what agentic coding tools make possible. Your team ships more than its headcount suggests, and your specifications and reviews are why the output survives production. You have a passion for systems that last: failures are designed for in advance, and when one happens anyway, the trace says exactly where. Standards you set for reliability, reviews, and design documents outlive the project they started on. Engineers you mentor ship reliable services without your direct involvement. You enjoy getting a product manager, a data scientist, and a customer's team into one room and coming out with a single agreed scope, and you can argue a position without needing to win it. You embrace our ambitious, collaborative, and empathetic values, and you like problems where the answer has to be measured rather than argued. Interview Policy & Privacy Notice: A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available HERE . About CCC's Commitment to Employees: CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most. At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success. CCC offers competitive compensation and benefits to support you and your families, including: 401K Match Paid time off Annual Incentive Plan Performance Bonus Comprehensive health insurance Adoption Assistance Tuition Reimbursement Wellness Programs Stock Purchase Plan options Employee Resource Groups For more information about our benefits, please check out our careers site . Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture here

Location: Chicago, IL or Remote CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy , creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We’re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey. Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com . The Role As a Senior Machine Learning Engineer, you'll own models and evaluations end to end within a problem area and turn the results into product decisions. You'll join a new engineering group at CCC building AI-native products for our auto casualty business, the injury side of auto claims. The group is small and senior, and it's growing fast. Our teams work on: Medical bills: AI products that help claims teams handle the medical bills on injury claims accurately and efficiently. Claims decision support: products that help claims professionals make better, faster decisions on injury claims. Agentic Rules Platform: the rules engine and agentic tooling behind decisions across our casualty products, plus the evaluation infrastructure every team relies on. Your impact: You'll show, with evidence, whether our AI works and whether it's worth it. You'll build models on real claims data, design the evaluations that compare our AI with expert decisions, and measure the impact customers see. Most of our products run on large language models, so you'll combine statistical modeling with LLM evaluation and write the production code to ship both. Salary range is: $180,000 - 225,000 This position is bonus eligible. Key Responsibilities: Build and ship statistical, ML, and hybrid LLM models (including retrieval and embeddings) on real claims data Design evaluations and gold datasets with data labelers and subject matter experts, and run them continuously as the product changes Measure impact through experiment design, baselines, and ROI analysis, and explain the results clearly to product, sales, and customers What success looks like: In your first month , you've run your first evaluation on real data and shared what you found. By six months , you've shipped a model or evaluation to production, and a product decision was made on evidence you produced. Requirements: Typically 5+ years of experience in machine learning, data science, or quantitative engineering roles A strong quantitative foundation (statistics, probability, experiment design) from a degree, research, or equivalent experience Strong Python and SQL, and a track record of taking models to production and measuring how they perform Hands-on experience with both statistical ML and LLM-based approaches (RAG, embeddings, vector search), including evaluating LLM outputs Real experience working faster with AI-assisted tools, with examples you can walk us through Nice to have Causal inference, survival analysis, or calibration methods applied to business decisions Experience fine-tuning models for domain-specific tasks Interview Policy & Privacy Notice: A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available HERE . About CCC's Commitment to Employees: CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most. At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success. CCC offers competitive compensation and benefits to support you and your families, including: 401K Match Paid time off Annual Incentive Plan Performance Bonus Comprehensive health insurance Adoption Assistance Tuition Reimbursement Wellness Programs Stock Purchase Plan options Employee Resource Groups For more information about our benefits, please check out our careers site . Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture here

Location: Chicago, IL or Remote CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy , creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We’re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey. Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com . The Role As a Senior AI Engineer, you'll own agents end to end within a problem area, from the first prototype to measured performance in production. You'll join a new engineering group at CCC building AI-native products for our auto casualty business, the injury side of auto claims. The group is small and senior, and it's growing fast. Our teams work on: Medical bills: AI products that help claims teams handle the medical bills on injury claims accurately and efficiently. Claims decision support: products that help claims professionals make better, faster decisions on injury claims. Agentic Rules Platform: the rules engine and agentic tooling behind decisions across our casualty products, plus the evaluation infrastructure every team relies on. You'll build the AI agents behind our products. They work with complex documents and claim data, call tools, and support claims experts in their daily work. You'll own the orchestration, retrieval, evaluations, and guardrails that make them safe to rely on, and you'll write the production code to ship them. Salary range is: $180,000 - 225,000 This position is bonus eligible. Key Responsibilities: Design and build LLM-powered agents and workflows: orchestration, tool use, retrieval, structured extraction, and human-in-the-loop review Build evaluations with data labelers and subject matter experts, and run them on every change Make agents production-grade: guardrails, observability, cost and latency, and careful handling of sensitive health data What success looks like: In your first month, you've shipped a measured improvement to an existing agent. By six months, an agent you built is in production with customers, backed by evaluation results. Requirements: Typically 5+ years of professional software or ML engineering experience, including meaningful recent work with LLMs Strong production engineering skills in Python, including API services, and comfort working in TypeScript At least a year of shipping LLM-powered products to real users, including retrieval (RAG, embeddings, vector search) and prompt engineering Experience designing evaluations for non-deterministic systems, and the habit of measuring before and after every change A quantitative mindset: you're comfortable with metrics, sampling, error analysis, and knowing when a result is real Real experience shipping faster with AI-assisted or agentic engineering tools, with examples you can walk us through Nice to have: Document understanding, OCR, or extraction from complex documents Experience fine-tuning LLMs or working with multimodal data Interview Policy & Privacy Notice: A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available HERE . About CCC's Commitment to Employees: CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most. At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success. CCC offers competitive compensation and benefits to support you and your families, including: 401K Match Paid time off Annual Incentive Plan Performance Bonus Comprehensive health insurance Adoption Assistance Tuition Reimbursement Wellness Programs Stock Purchase Plan options Employee Resource Groups For more information about our benefits, please check out our careers site . Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture here

Location: New York, NY About Us: EvolutionIQ’s mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of Inc.’s Best Workplaces 3 years in a row and Built In’s Best Places to work in 2025 and 2026! As the Director, Data Insights, you will be the primary bridge between our technical depth and our most critical business decisions. You aren't just managing data; you are managing influence . Your mission is to translate complex data signals into persuasive business narratives that change how our internal leaders and external partners operate. Key Responsibilities: Executive Advisory: Serve as the "Data Voice" in the room for high-stakes meetings with C-suite executives and external stakeholders. You will defend findings, negotiate priorities, and provide real-time strategic counsel. Narrative Design: Take the raw output from our data science and engineering teams and synthesize it into "Board-ready" presentations that drive multi-million dollar decisions. Culture Transformation: Act as a change agent to move the organization from "data-aware" to "data-driven." You will challenge existing business assumptions and push for evidence-based pivots. Stakeholder Diplomacy: Navigate conflicting interests between departments (e.g., Sales vs. Product) by using data as the objective "source of truth" to build consensus. Value Realization: Work closely with the data team to ensure their technical roadmap is strictly aligned with the highest-value business outcomes. Qualifications: Strategic Pedigree: Proven experience leading high-level discussions with internal and external stakeholders. Data Fluency: While you may not be coding daily, you have a deep understanding of data science workflows, analytics engineering, and statistical significance. Communication Mastery: Exceptional ability to visualize data and craft compelling slide decks or memos for executive audiences. Business Acumen: A deep understanding of how businesses make money and how data can be used to optimize those levers. A Modern Day Individual Contribitor: Can leverage agentic tools to do quick analytics as needed for high pressure leadership discussions. Work-life, Culture & Perks: Compensation: The base salary range is $250-280K, with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package. Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits. Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work. Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend. Growth & Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement. Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer. EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Location: New York, NY or Chicago, IL About Us: EvolutionIQ builds AI that helps insurance claims teams handle claims more accurately, fairly, and efficiently, so more people impacted by injury or illness can get back to their lives with dignity and stability. As part of CCC Intelligent Solutions (NASDAQ: CCC), we pair AI-native product development with something almost no one else in this market has: 40 years of proprietary data and deep relationships with the largest, most complex carriers in the world. It's a rare combination, and it's what lets us build products others can't. Our people come first, and we think it shows. We've been named one of Inc.'s Best Workplaces three years running, plus Built In's Best Places to Work in 2025 and 2026. About the Role: As a Senior Technical Recruiter / TA Partner, you will own full-cycle recruiting for complex, high-impact Engineering and AI positions. You will lead searches for Senior Software Engineers, AI Engineers, Machine Learning Engineers, and other specialized technical talent, partnering closely with Engineering leaders to understand their teams, technical requirements, and hiring priorities. You will bring a hands-on sourcing approach, strong technical recruiting judgment, and market intelligence to build exceptional pipelines and deliver high-quality hires. The ideal candidate is an experienced technical recruiter who can independently manage difficult Engineering searches, engage passive technical talent, and advise hiring managers on realistic talent profiles, competitive markets, and effective selection processes. You can speak credibly with engineers about their work and thrive in a fast-paced, evolving technology environment. Key Responsibilities Full-Cycle Technical Recruitment Own searches end to end for Engineering and AI teams, including Senior Software Engineers, AI Engineers, Machine Learning Engineers, and other specialized technical positions. Partner with Engineering hiring managers to translate technical requirements into clear candidate profiles, interview plans, and targeted search strategies. Lead recruiter screens and assess relevant technical experience, project ownership, problem-solving approach, career motivations, and alignment with role requirements. Manage complex searches proactively, identifying bottlenecks, calibrating with interview teams, and keeping high-priority hiring processes moving. Technical Talent Acquisition Strategy Develop search strategies for hard-to-fill technical roles using talent mapping, competitive intelligence, sourcing data, and a deep understanding of Engineering talent markets. Advise Engineering leaders on candidate availability, compensation expectations, market competition, hiring tradeoffs, and realistic recruiting timelines. Work with stakeholders to prioritize openings, align on must-have versus trainable skills, and refine candidate profiles based on market feedback. Use pipeline data, interviewer feedback, and market insights to continuously adjust sourcing and hiring strategies. Technical Sourcing and Candidate Engagement Personally source and engage passive Engineering talent using LinkedIn Recruiter, GitHub, Boolean/X-ray search, technical communities, referrals, networking, and relevant AI-enabled sourcing tools. Build credible relationships with technical candidates by communicating the Engineering challenges, product impact, team environment, and opportunity for growth. Develop and maintain talent pipelines for Software Engineering, AI/ML, and emerging technical skill sets to support current and anticipated hiring needs. Engineering Partnership and Stakeholder Management Build trusted relationships with Engineering leaders, interviewers, HR partners, and other stakeholders to understand organizational goals and evolving technical needs. Provide concise, data-driven updates on search progress, pipeline quality, candidate engagement, interview conversion, and risks to hiring goals. Influence hiring decisions through structured feedback, thoughtful calibration, and a strong candidate and hiring-manager experience. Recruiting Analytics and Process Excellence Track funnel conversion, sourcing channel effectiveness, time to fill, and offer outcomes; translate findings into actions that improve technical hiring results. Partner with Engineering teams to improve interview quality, assessment consistency, candidate communication, and overall process efficiency. Stay current on software engineering, AI/ML hiring trends, recruiting technology, and responsible use of AI tools in sourcing and recruiting workflows. Mentorship Share technical recruiting expertise, sourcing methods, and stakeholder-management practices with other recruiters to elevate team performance. Qualifications Bachelor’s degree in Human Resources, Business Administration, or a related field 5+ years of full-cycle recruiting experience, including significant direct ownership of Software Engineering and other technical searches at the mid-to-senior level. Demonstrated success hiring Senior Software Engineers and related Engineering talent; experience recruiting AI Engineers, Machine Learning Engineers, or similarly specialized roles strongly preferred. Advanced hands-on technical sourcing skills, including Boolean search, LinkedIn Recruiter, GitHub, talent mapping, and proactive outreach to passive candidates. Ability to discuss technical profiles credibly with Engineering leaders, understand common software development and AI/ML concepts, and translate requirements into an effective recruiting strategy. Strong consultative, analytical, communication, and negotiation skills with a track record of managing multiple high-priority technical searches. Work-life, Culture & Perks: Compensation: The base salary range is up to $125K , with flexibility depending on a candidate's background and experience. An annual bonus plan is also included in our compensation package. Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits. Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work. Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend. Growth & Training: $1,000/year for each employee for professional development, as well as opportunities for tuition reimbursement. Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer. EvolutionIQ / CCC Intelligent Solutions appreciates your interest in our company as a place of employment. We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Location: New York, NY or Chicago, IL About Us: EvolutionIQ builds AI that helps insurance claims teams handle claims more accurately, fairly, and efficiently, so more people impacted by injury or illness can get back to their lives with dignity and stability. As part of CCC Intelligent Solutions (NASDAQ: CCC), we pair AI-native product development with something almost no one else in this market has: 40 years of proprietary data and deep relationships with the largest, most complex carriers in the world. It's a rare combination, and it's what lets us build products others can't. Our people come first, and we think it shows. We've been named one of Inc.'s Best Workplaces three years running, plus Built In's Best Places to Work in 2025 and 2026. About the Role: As a Technical Recruiter, you'll play a key role in scaling our engineering organization by attracting and hiring exceptional technical talent. You'll recruit across a wide range of roles, including Software Engineers, Machine Learning Engineers, AI Engineers, and other specialized technical positions. You'll partner closely with engineering leaders and hiring managers to understand their needs, develop creative sourcing strategies, and deliver an exceptional candidate experience. This is an exciting opportunity to help build high-performing teams working at the forefront of building AI products for the Insurance space. Requirements: 4+ years of technical recruiting experience preferably in startup/scaleup environments ATS proficient and savvy in other systems (LinkedIn Recruiter, G-Suite, Slack, etc). Workday experience is a plus. Pitch and sell candidates on the opportunity. Work directly with hiring managers. Expertise writing compelling sourcing messages and attracting passive candidates Enthusiastic / positive outlook, and a high motor to come in be extremely productive while working independently with team and management support Ability to work out on our NYC or Chicago office a couple days/week preferred Responsibilities : Participate in weekly recruiting meetings with hiring managers and stakeholders that demonstrate quantifiable progress in filling roles Conduct ~5 technical candidate interviews each day Strategically source 50-100+ candidates per week with the goal of achieving a 20%+ response rate Utilize resources at your disposal such as: job ads, sourcing tools and LinkedIn Recruiter to build a pipeline of amazing talent Perks: Competitive hourly wage (~$60/hour with flexibility based on exp) as a 1099 contractor Ability to work hybrid from our NYC or Chicago office and at home Contract length will be 3 months to start with potential to be extended Opportunity to gain experience at a rapidly growing tech company in the AI / Insurtech space! EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees

Location: New York, NY About Us: EvolutionIQ builds AI that helps insurance claims teams handle claims more accurately, fairly, and efficiently, so more people impacted by injury or illness can get back to their lives with dignity and stability. As part of CCC Intelligent Solutions (NASDAQ: CCC), we pair AI-native product development with something almost no one else in this market has: 40 years of proprietary data and deep relationships with the largest, most complex carriers in the world. It's a rare combination, and it's what lets us build products others can't. Our people come first, and we think it shows. We've been named one of Inc.'s Best Workplaces three years running, plus Built In's Best Places to Work in 2025 and 2026! About you: You are an experienced Talent Sourcer / Recruiter who knows how to assess talent, understand candidate motivations and facilitate an amazing interview process. You have exceptional people skills and know exactly how to uncover a company's competitive edge and pitch that to candidates. You’re extremely diligent and organized and detail oriented in your craft. This person will support a wide range of roles across the business including Sales, Client Success, Shared Services, Product, Engineering and more. Requirements: 5+ years of sourcing & recruiting experience preferably in startup/scaleup environments Expertise writing compelling sourcing messages and attracting passive candidates ATS (preferably Greenhouse) proficient and savvy in other systems (LinkedIn Recruiter, G-Suite, Slack, etc) The ability to pitch and sell candidates on the opportunity to join a fast growing AI company Enthusiastic and extremely motivated to produce and exceed goals while working independently and alongside the team Ability to work out of our NYC or Chicago office in 2+ days/week preferred Data-driven approach to sourcing: you track what’s working, A/B test your outreach, and use numbers to influence hiring managers rather than just report to them. Responsibilities: Participate in weekly recruiting meetings with hiring managers and stakeholders that demonstrate quantifiable progress in filling roles Strategically source 50-100+ candidates per week with the goal of achieving a 20%+ response rate Utilize resources at your disposal such as: job ads, sourcing tools and LinkedIn Recruiter to build a pipeline of amazing talent Schedule candidates with technical interviewers for a wide range of open roles Nice to have: AI Tooling: Curious about and comfortable using AI tools to scale sourcing and personalize outreach Work-life, Culture & Perks: Compensation: The base salary range is $100-110K, with flexibility depending on a candidate’s background and experience plus annual bonus plan. Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits. Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work. Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend. Growth & Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement. EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Location: New York, NY About Us: EvolutionIQ builds AI that helps insurance claims teams handle claims more accurately, fairly, and efficiently, so more people impacted by injury or illness can get back to their lives with dignity and stability. As part of CCC Intelligent Solutions (NASDAQ: CCC), we pair AI-native product development with something almost no one else in this market has: 40 years of proprietary data and deep relationships with the largest, most complex carriers in the world. It's a rare combination, and it's what lets us build products others can't. Our people come first, and we think it shows. We've been named one of Inc.'s Best Workplaces three years running, plus Built In's Best Places to Work in 2025 and 2026. We are looking for an ambitious Client Strategist focused on SAAS products, to join our growing team. The goal of the Client Strategy & Analytics Team is to ensure all new and existing EvolutionIQ clients get the most impact out of their investment and have the best insights and advice to do so. The CS&A team is the bridge between our clients and our technology and plays an incredibly important role in EvolutionIQ’s mission, serving as the champions for the impact that the product suite can create for clients. This includes tactical support of client deployments, and ongoing measurement of success. But more importantly, requires consultative analytics to help clients design optimal ways of working to extract value from AI. This team is often at the forefront of prototyping new product features (e.g., reports, alerts, new metrics) based on emerging client needs. while engaging with product / engineering to productize the key features. Finally, the Strategy & Analytics team is the strategic thought partner for clients, providing an industry-wide perspective on key trends and best practices, EIQ is observing in our data and our experience across clients. In addition, they bring this perspective to Product, Engineering and Sales teams to continue refining EIQ’s products. About You: High degree of ownership and control, with the ability to operate effectively under ambiguity and independently define and narrow problem spaces. Deep experience in quantitative analytics, being able to run hypothesis led analyses and arrive at clear, pressure tested and statistically relevant conclusions Skilled in synthesis and reporting - adept at blending strategic narratives with quantitative insights. Exceptional communicator with a proven ability to earn trust and confidence from executive sponsors and stakeholders. Expert in delivering strategic messaging and a clear value proposition to executive stakeholders, adept at balancing tactical and strategic considerations. Deeply client-focused, with a strong track record of building relationships and becoming a trusted advisor to client executives. Passionate about innovation and making a swift impact, with a strong drive towards launch and delivery. Energized by facing interesting, unsolved problems, continually seeking new challenges and solutions. Innately curious with a relentless pursuit of learning, always seeking to understand new concepts and apply them creatively to solve complex problems. In This Role, You Will: Paint a holistic understanding of EvolutionIQ's mission and value to your enterprise customers Partner with team members to deploy EvolutionIQ engagements into production, running Pilot Strategy & Client Operations Analysis Run all recurring client impact meetings & how we measure and communicate success - problem solve how performance can improve further Prototype new capabilities (reports, alerts, product features, new metrics) based on emerging client needs - engage with product / engineering to productize the results Ensure client organizations have the insights and guidance they need to capture the full value of the product; provide consultative analytics to support and guide clients Represent the EvolutionIQ impact in a real-time, quantifiable and strategic manner Derive broad industry trends by analyzing data and results across EvolutionIQ’s clients - conduct rigorous pressure testing to ensure conclusions are statistically relevant across the industry Partner with our Sales team as an EIQ product and solutions expert to acquire, educate and secure new customers Required technical skills: Ability to query and analyze data with SQL (Big query, MySQL, etc) Running simple to moderately complex statistical analyses, including linear regressions, correlations, A/B tests, cohort analyses, time series analysis - while testing statistical significance. Build metrics dashboards (tableau, looker, etc) Expert in spreadsheets (pivots, charts, etc) Build visually stunning presentations Educational or professional background in Business analytics, Data analytics, Data Science, Statistics, Actuarial, Economics, Engineering Work-life, Culture & Perks: Compensation: The base salary range is up to $190K , with flexibility depending on a candidate's background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package. Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits. Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work. Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend. Growth & Training: $1,000/year for each employee for professional development, as well as opportunities for tuition reimbursement. Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer. EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Location: New York, NY About Us: EvolutionIQ’s mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of Inc.’s Best Workplaces 3 years in a row and Built In’s Best Places to work in 2025 and 2026! About You: An experienced Staff Product Designer who is energized by ambiguity and by shaping entirely new product experiences around emerging technology within a complex problems space such as insurance claims management. You are comfortable defining how customers may interact with agentic products; what the system should automate, explain, or leave under human control, and how the product earns trust. You operate as a thought partner to Product and Engineering. You bring clarity to high-stakes, unsolved problems, framing the right questions, aligning partners and clients, and driving decisions that move the product and business forward. You are a master of the design craft and raise the bar for everyone around you through your work. In this Role, You Will: Lead the strategic vision and conceptual design outcomes which provide a clear direction for our customer experiences across the AI landscape Design human and AI agent interactions, including how the system communicates uncertainty, automation, control, intervention, and recovery Define the experience model: conceptual model, information architecture, core workflows, interaction patterns, and guiding principles, and build the reusable agentic patterns and design-system foundations that let it scale Conduct discovery directly with clients to inform experience decisions, and validate concepts through rapid prototyping and usability testing Establish a scalable experience architecture across a complex, evolving platform, along with reusable agentic patterns and foundational design-system components Partner with leadership, stakeholders, cross-functional team members to shape the product, navigating tradeoffs across user needs, AI/ML capabilities, technical feasibility, and regulatory requirements What You Will Need: 12+ years designing digital products, including leading 0-to-1 and emerging-technology products in B2B enterprise software and highly regulated or complex problem spaces Demonstrated experience designing AI/ML or data-driven products, with genuine fluency in how AI systems behave and how that shapes product direction; including agentic or human-in-the-loop experiences Exceptional systems thinking: you see patterns, anticipate edge cases, design for scale, and establish reusable frameworks and standards Proven ability to set experience strategy and bring structure to ambiguous, business-critical problems with little precedent Experience in end-to-end UX/product design to design impactful solutions to challenging problems Exceptional communication skills: you can articulate design decisions using product thinking, frameworks, research, and data to influence direction with cross-functional partners, executives, and clients Raise the bar for the people around you, as an individual contributor, through your work and your feedback. Work-life, Culture & Perks: Compensation: The base salary range is $210 - $230K, with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package. Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits. Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work. Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend. Growth & Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement. Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer. EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Location: New York, NY About Us: EvolutionIQ’s mission is to improve the lives of injured and disabled workers and enable them to return to the workforce, saving billions of dollars in avoidable costs and lost productivity to the US and global economies and make insurance more affordable for everyone. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of Inc.’s Best Workplaces 3 years in a row! About You : As a Staff Data Scientist on the Data Science & Insights team, you will serve as the analytics expert for your internal stakeholders, using data & models to help them make better decisions. You thrive in dealing with ambiguous decision-making problems, small & big data modeling and insight generation, both for clients and internal stakeholders. You’ll explore and analyze new datasets as we enter new markets and quickly make critical recommendations for your fellow team-mates in Engineering and Product Management. You love diving deep into hard analytical questions, striving in answering ambiguous open ended questions with clear data-driven insights and recommendations. You’re supercharged by having interesting, unsolved problems continually present themselves and inform both the technical as well as business side of the business for critical decisions.  You demonstrate ownership and leadership to build out the analytical muscle at EvolutionIQ and demonstrate value by clearly shaping the path of new developments and high ROI initiatives. Your Impact: You will work closely with Engineering & Product to improve our team and clients understanding of claims data; you work closely with business stakeholders to leverage internal data that demonstrates product ROI and give them mission-critical insights to steer the company in new high ROI directions. The ideal candidate will ensure EIQ tells excellent stories through data & modeling that clearly and accurately communicate the impact and ROI of our products internally and externally. Additionally, you will partner with product managers to do rapid iterations on new product ideas, scope the business opportunity of new product features, and measure ROI of ongoing user engagement with a variety of products. What You'll Achieve (Performance Outcomes) : Support the decision-making of EvolutionIQ’s leadership team in critical recommendations such as which product features we should build as they lead to highest projected ROI or measuring impact of existing product through sophisticated experimental design setups that best leverage the user feedback we have on challenging small data, high variance outcome problems. Uncover new product research directions (hypothesis generation) through exploratory data analysis and hypothesis testing. Create data insights to win clients by helping define and build the sales & marketing narrative Present results to internal stakeholders as well as our clients in the insurance industry Generate meta-analysis across clients to drive product & sales strategies Build, own, and standardize client-facing analysis and reporting on existing products across multiple clients and ROI dimensions Work closely with the ML team to analyze the impact of modeling results, debug data issues, and communicate findings to colleagues and clients. Write efficient and reliable relational database queries, create re-usable dashboards, write design documents, write clean & maintainable code for reproducible analytics via CLI tools, perform code reviews, and maintain state-of-the-art engineering practices. Continue to grow and learn in the data & analytics space, focusing on business problems that require making sense of large-scale structured and unstructured datasets. Oversee the integration of cross-organizational projects, drive improvements and recommendations for your engineering and product counterparts, and define operational goals and objectives. Provide direction and accomplish results for business leaders through solving hard measurement problems that impact business bottom line About You (Key Competencies): 7+ years of data analysis/quantitative experience, preferably within Machine Learning and Product environments At least 2 years experience in mentoring or tech-leading junior analysts and business-critical analytics projects Masters degree in statistics or equivalent quantitative field with strong focus on applied, data-driven solutions. Sophisticated knowledge of statistics, linear & non-parametric modeling, and advanced SQL engineering experience. Designed, implemented, and analyzed A/B or multi-arm experiments with clear recommendations for product direction & development. Proficient in the use of Python, pandas, Jupyter notebooks, and SQL-based analytics dashboards (e.g., Google’s DataStudio / Looker or Tableau), and familiarity with standard statistical packages and visualization tools in Python. Skilled data illustrator who makes market-ready graphs, slides, figures, and presentations Excellent communication, storytelling, and presentation skills Proven understanding of Product and Business analytics, fundamentals, and processes Proven ability to synthesize data insights into actionable recommendations Proven ability to handle large datasets via SQL and/or map-reduce analytics and data aggregation as needed. Even Better if You Have: PhD in statistics or related quantitative field with strong focus on applied, data-driven solutions. Experience in Bayesian statistics and causal inference methods Written production quality code for reproducible analytics pipelines Work-life, Culture & Perks: Compensation: The base salary range is up to $250K, with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package. Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits. Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work. Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend. Growth & Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement. Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer. EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Location: New York, NY or Remote About Us: EvolutionIQ’s mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of Inc.’s Best Workplaces 3 years in a row and Built In’s Best Places to work in 2025 and 2026! About You: As an ambitious AI / ML Engineer, you will play a key role in advancing our industry-leading medical synthesis product. You take strong ownership of your work and have a proven track record of leading projects end-to-end, from ideation and requirements gathering through architecture, implementation, deployment, and iteration. You are comfortable operating with a high degree of autonomy, making thoughtful architectural and technical decisions, and helping guide the direction of AI/ML solutions across the product. Thriving in a fast-paced startup environment, you stay current with the latest AI and machine learning research. You’re passionate about applying hybrid approaches that combine large language models (LLMs), statistical machine learning techniques, and retrieval-augmented generation (RAG) with embeddings-based models to deliver better, more reliable outcomes for our users. In this Role You Will: Lead AI/ML projects end-to-end, taking ownership from initial ideation and requirements gathering through architecture, development, deployment, and ongoing optimization Make high-level architectural and technical decisions for AI/ML systems, balancing scalability, performance, reliability, maintainability, and business impact Design, build, and deploy AI-powered and LLM-driven features for our claim synthesis product, including robust extraction of key information from complex medical documents and human-in-the-loop summarization workflows Develop and implement hybrid machine learning solutions that leverage statistical models, LLMs, and embeddings-based retrieval techniques such as RAG to improve system accuracy, scalability, and robustness Write clean, scalable, and efficient code while optimizing the performance of existing AI/ML systems in production Collaborate closely with data labelers and subject matter experts (SMEs) to rigorously evaluate AI system outputs and continuously improve model performance Partner closely with Product, Engineering, and other cross-functional teams to gather requirements, define technical approaches, prioritize work, and rapidly iterate on feedback Provide technical leadership and guidance to other engineers, helping establish best practices and driving consistency across AI/ML solutions Break down complex, ambiguous problems into well-defined technical solutions and drive projects forward while balancing short-term delivery with long-term architectural considerations Translate cutting-edge AI/ML research and novel techniques into production-grade, reliable, and maintainable solutions that operate seamlessly in live customer environments Skills Requirements: 5-8+ years of experience writing performant Python code following modern best practices Minimum 1 year of experience building and deploying products powered by large language models (LLMs) in fast-paced, professional environments Proven experience leading technical projects and driving them from concept through production deployment Experience making architectural decisions for AI/ML systems and evaluating technical tradeoffs across scalability, reliability, performance, and maintainability Hands-on experience with statistical machine learning techniques as well as hybrid approaches combining LLMs, retrieval-augmented generation (RAG), and embeddings-based models, including vector search and similarity measures Proven ability to build and integrate API services within service-oriented or microservice architectures Strong skills in evaluating and interpreting LLM outputs and AI model predictions, with a focus on aligning model behavior with real-world business and user outcomes Expertise in prompt engineering and fine-tuning of large language models for domain-specific applications Strong communication and collaboration skills, with the ability to influence technical direction and work effectively with Product, Engineering, SMEs, and other stakeholders Bonus Points: Experience translating state-of-the-art AI/ML research into production code Comfortable collaborating with data labelers and subject matter experts to improve training data and evaluation processes Experience building agentic or autonomous AI systems in production Background working with multimodal data (e.g., images, audio) Experience mentoring engineers or providing technical leadership across projects or teams Work-life, Culture & Perks: Compensation: The base salary range is $200-235K, with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package. Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits. Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work. Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend. Growth & Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement. Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer. EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Location: New York, NY or Remote About Us: EvolutionIQ’s mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of Inc.’s Best Workplaces 3 years in a row and Built In’s Best Places to work in 2025 and 2026! About You: An ambitious Software Engineer who will be in the driver’s seat as we design and deliver the entire customer-facing application layer for our growing line of AI solutions. You thrive on fast, secure, consistent deployments and want to be in the lead thanks to your high degree of ownership and control. Scalability and reliability are hardwired into your DNA. You love defining the standards for a consistent development life cycle. You have used modern AI / agentic tools (Claude, Codex, Cursor, etc) to streamline development efforts. You’re supercharged by reducing friction in the engineering experience, making a fast impact, and having interesting, unsolved problems continually present themselves. In this Role You Will: Build a complex multi-tenant enterprise SaaS application to revolutionize application workflows Build and maintain the backend REST server that feeds machine learning data and BI (Business Intelligence) Own the entire lifecycle of designing, building and launching enterprise applications Work in greenfield projects where you have high levels of ownership Work directly with the head of product, the data science team, UX designers, and end users Have a key role and ownership in shaping the future of EvolutionIQ’s products, from technology choices to building the roadmap Provide crucial technical expertise, introduce new best practices to the team, drive consistency across all teams, and help prioritize features to increase our client impact Continue to grow and learn in the engineering space with a focus on business problems that use large-scale structured and unstructured datasets Requirements: Extensive experience going through the full feature development life cycle: Working with product managers, deciding scope, designing a database schema for representing the data 5+ years of engineering experience, an expert in Python Development Strong Systems Design, and Relational Database experience Proven experience using AI / agentic tools to streamline development efforts Experience designing, building and launching backend architectures that support multi-tenant, multi-user scenarios Ability to remain agile and move between rapid prototyping and stable production development Ability to write technical design documents, perform code reviews, and maintain state of the art engineering practices You know the critical questions to ask in order to understand a client’s business problem and can show the business impact of your technical solutions Team player who is solutions-oriented and exudes our ambitious, collaborative, and empathetic values You have crisp written and verbal communication skills and the ability to effectively correspond between technical and non-technical audiences A self-starter mindset with an eagerness to solve previously unsolved problems Excellent collaboration skills and are open to giving and receiving critical feedback across teams Work-life, Culture & Perks: Compensation: The base salary range is $200-225K, with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package. Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits. Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work. Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend. Growth & Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement. Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer. EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Location: New York, NY or Remote About Us: EvolutionIQ’s mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of Inc.’s Best Workplaces 3 years in a row and Built In’s Best Places to work in 2025 and 2026! About You : A Senior Machine Learning Engineer who thrives on first principles problems that no one has ever worked on before. You love innovation and making an immediate impact, and are constantly driving toward launch and delivery thanks to your high degree of ownership and control. You love working on new and challenging problems, not incremental or marginal improvements, and you're supercharged by having interesting, unsolved problems continually present themselves. In this Role, You Will: Build ML models for production use Perform in-depth exploratory data analysis to scope ML opportunities, identify potential issues in the data, and lay the groundwork for model design, training & evaluation strategies Suggest and implement new features to improve model performance and business logic Write and review production-quality PRs daily Translate client business problems into ML problems Build scalable machine learning models for claim time series forecasting and NLP text understanding Continue to grow and learn in the data & ML space with a focus on business problems that require making sense of large-scale structured and unstructured datasets Requirements : 2+ years of experience as a Machine Learning Engineer or Data Scientist, preferably in highly scalable production environments. You have deep exposure to data science & ML tech stacks (sklearn, Keras / PyTorch, tuning frameworks), data analysis & modeling, feel at home in Python/Pandas/Jupyter, and strive for scalable technical concepts and solutions. You have excellent written and verbal communication skills and can effectively correspond between technical and non-technical audiences. You’re a team player who is solutions-oriented. Experience leveraging Claude Code and related tools is a strong plus Even Better if You Have the following: Knowledge of Dagster, BigQuery, Vertex AI, GCP, Terraform, Spark, Kubernetes Owned and deployed, and maintained model-serving pipelines in production Expert skills at writing clean, efficient, and easy-to-understand code with unit tests and functional design patterns Experience with advanced statistical modeling, especially probabilistic programming Ambitious, collaborative, and empathetic values A work style that is open to giving and receiving critical feedback and collaborating effectively across teams Work-life, Culture & Perks: Compensation: The base salary range is $190-225K, with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package. Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits. Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work. Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend. Growth & Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement. Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer. EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Location: New York, NY About Us: EvolutionIQ builds AI that helps insurance claims teams handle claims more accurately, fairly, and efficiently, so more people impacted by injury or illness can get back to their lives with dignity and stability. As part of CCC Intelligent Solutions (NASDAQ: CCC), we pair AI-native product development with something almost no one else in this market has: 40 years of proprietary data and deep relationships with the largest, most complex carriers in the world. It's a rare combination, and it's what lets us build products others can't. Our people come first, and we think it shows. We've been named one of Inc.'s Best Workplaces three years running, plus Built In's Best Places to Work in 2025 and 2026. About the Role: We are hiring a Senior Product Manager to help build the next generation of AI-first products for our Short Term Disability product line. You'll own features and initiatives on the STD modules and help execute an ambitious multi-year roadmap delivering next-generation workflows, synthesis, insights, and decision guidance technologies to our disability carrier customers. While no two days are the same, on any given day you can expect to: Work closely with data-science partners to quantify value and identify product opportunities Drive the roadmap and execution for AI-first products Build and ship AI-first products that guide and augment human decision-making in STD claims Work directly with stakeholders at major insurance carriers to uncover problems, test product concepts, and drive business outcomes Get early product concepts in front of customers and use their reactions to make real decisions about what to build next Partner with customer success, sales, and product marketing to support go-to-market strategy for new capabilities Write code and build working prototypes alongside your engineers, using AI coding tools as a core part of how you work Define clear value propositions, adoption hypotheses, and kill criteria for your work, and have the discipline to walk away from work that isn't landing Contribute to the strategic direction of STD products broadly What You'll Achieve with Us Take product concepts from a blank page to working prototypes in front of the largest insurance carriers in the world Shape the future of how disability claims are handled by building AI-first products that change what's possible for claims organizations Work across a uniquely broad product surface — from modernizing established, revenue-generating products to launching entirely new AI-first product lines Develop deep expertise in a massive, complex industry where AI is about to reshape decades of established practice Work at the intersection of a market-leading enterprise with unmatched data and carrier relationships and an AI-native team that ships like a startup About You You are a seasoned Product professional who has built something from nothing at least once, ideally at a company where velocity and scrappiness were the norm. You think about products in terms of the economic and workflow problems they solve for a specific buyer, and you can carry that framing from early exploration through a compelling prototype. You have gone deep in at least one complex, regulated vertical (fintech, healthtech, legaltech, HCM, or similar) and can speak specifically about how you built that understanding. We care less about which vertical and more about evidence that you know how to learn a complex domain quickly and turn that knowledge into good product decisions. You are technical enough to contribute directly to working software. On a small team, there is no room for someone who shapes strategy and hands a spec to engineering. You build alongside your engineers using AI coding tools. You have been a product leader on at least one product where AI was core to the value proposition, and you use AI tools daily in your actual work, not as a novelty, but as part of how you operate. You are comfortable working with multiple disciplines across multiple teams. You'll be leading initiatives across product, engineering, data science, and CS. You're energized by that breadth rather than needing a single, fixed lane. You have real discipline around killing work that isn't working. The intellectual honesty required to walk away from something you've built and care about, because the customer signal says no, is rarer than it sounds. Key Competencies 0-to-1 product building. You have taken a product from concept through market validation and can point to specific decisions you made along the way. Domain learning velocity. You can go deep in a new industry quickly, distinguish essential complexity from accumulated habit, and turn domain knowledge into product insight. Technical contribution. You can prototype, build, and ship alongside engineers, working in AI coding environments and making direct technical contributions to the products you own. Commercial instinct. You are comfortable in front of enterprise buyers, can construct a compelling value proposition and ROI case, and work well alongside sales and revenue teams. AI fluency. You have practical, hands-on experience building AI-first products and a realistic sense of current capabilities and limitations. Experimentation discipline. You define hypotheses, set kill criteria, test ideas with real customers, and make clear-eyed decisions about what to continue and what to stop. Experience: 4+ years of product management experience in enterprise software or high-production SaaS environment (Senior or Lead will be determined based on experience) At least one 0-to-1 product build, ideally in a startup or high-velocity environment Deep experience in at least one complex, regulated vertical Demonstrated experience building and shipping AI-driven products Track record of working directly with enterprise customers and senior stakeholders to validate product direction Comfort operating in ambiguity, with a bias toward action and learning over extensive upfront planning Experience delivering results in a sales/GTM context, communicating effectively across stakeholders from end users to C-level executives Work-life, Culture & Perks: Compensation: The base salary range is up to $220K , with flexibility depending on a candidate's background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package. Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits. Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work. Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend. Growth & Training: $1,000/year for each employee for professional development, as well as opportunities for tuition reimbursement. Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer. EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Location: New York, Chicago, or Remote CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy , creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We’re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey. Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com . The Role As a Senior Software Engineer, you'll own meaningful parts of the product end to end and work independently within a problem area to production. You'll join a new engineering group at CCC building AI-native products for our auto casualty business, the injury side of auto claims. The group is small and senior, and it's growing fast. Our teams work on: Medical bills: AI products that help claims teams handle the medical bills on injury claims accurately and efficiently. Claims decision support: products that help claims professionals make better, faster decisions on injury claims. Agentic Rules Platform: the rules engine and agentic tooling behind decisions across our casualty products, plus the evaluation infrastructure every team relies on. Your impact: You'll build AI-native products that change how injury claims are handled, end to end: the services, data pipelines, integrations, and the interfaces that claims experts use every day. A wrong decision on a medical bill or a settlement has a cost for a carrier and for a person trying to recover. You'll move between quick prototypes that test an idea in days and durable production systems that carriers rely on. Salary range is: $180,000 - 225,000 This position is bonus eligible. Key Responsibilities: Build full-stack, AI-powered products in TypeScript and Python, from the data model and APIs to the interfaces experts use Work directly with product managers, ML and AI engineers, and the claims experts who use what you build Own what you ship: design docs, code review, reliability, security, and careful handling of sensitive health data What success looks like In your first month , you've shipped to production and can work independently in the codebase. By six months, you own an area of the product and have taken a feature from idea to customers. Requirements: Typically 5+ years of professional software engineering experience Strong, hands-on full-stack skills in TypeScript and Python, including a modern front-end framework (for example React) and backend services Solid data modeling and relational database design, including multi-tenant systems A track record of taking ambiguous problems to production, working closely with product and customers Real experience shipping faster with AI-assisted or agentic engineering tools, with examples you can walk us through Nice to have Experience building products on LLMs or AI agents Interview Policy & Privacy Notice: A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available HERE . About CCC's Commitment to Employees: CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most. At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success. CCC offers competitive compensation and benefits to support you and your families, including: 401K Match Paid time off Annual Incentive Plan Performance Bonus Comprehensive health insurance Adoption Assistance Tuition Reimbursement Wellness Programs Stock Purchase Plan options Employee Resource Groups For more information about our benefits, please check out our careers site . Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture here