Clutch

Product Designer

• Get oriented fast: Build a strong working understanding of Clutch's lending products, the borrower and operator journeys, and the compliance and legacy-system realities they sit inside, quickly enough to start contributing.
• Build relationships and credibility: Establish yourself with the product managers, engineers, and credit union partners you'll work with, and start earning trust as a design leader on the team.
• Get hands-on with AI: Ramp on Clutch's AI design tooling and practices, using AI to prototype and explore from week one.
• Own a significant area end to end: Take a large, loosely-defined design project from discovery through delivery, defining the problem and scoping the work yourself.
• Design & ship real flows: Lead design on a substantial piece of the loan-application experience, reducing friction for borrowers and operators alike.
• Build, not just mock: Use AI to create working prototypes, and ship simpler production changes yourself in partnership with engineering.
• Drive clarity through research: Run interviews, concept tests, and usability sessions to validate your decisions, and bring the insights back to your partners.
• Think in systems: Map full workflows (handoffs, compliance touchpoints, edge cases) and design reusable, scalable patterns rather than one-off screens.
• Own a critical, high-stakes workflow: Lead design end to end for a core part of the lending journey (e.g., intake or decisioning), including the ambiguity and cross-team dependencies that come with it.
• Shape direction, not just execution: Bring research and data into roadmap and prioritization conversations, influencing what the team builds and why.
• Raise the bar on team craft: Drive design critique, share what you're learning about AI-assisted workflows, and help improve process and documentation across the team.
• Collaborate with judgment: Partner closely with PMs and engineers as a true thought partner, knowing when to run independently and when to bring partners in to turn user and business needs into production-ready designs.

Customer Success Manager

• Take ownership of a portfolio of 12–15 accounts, including several large customers in active onboarding.
• Build relationships with executive sponsors and key day-to-day contacts.
• Lead the executive onboarding portion of implementations, ensuring stakeholders are aligned on goals and success measures.
• Support adoption of core product capabilities and begin spotting areas for future expansion.
• Successfully complete onboarding for your in-flight customers and transition them into post-implementation success management.
• Establish “3 wide, 3 deep” relationships across your accounts.
• Partner with internal teams (product, support, implementation) to solve customer challenges and influence roadmap priorities.
• Lead high-impact QBRs/EBRs (onsite & virtual) with executive stakeholders, supported by data-driven insights into customer performance and opportunities
• Progress 4–5 qualified expansion opportunities, together with our Account Executives
• Use customer data to surface actionable insights that drive adoption and executive alignment
• Be recognized by your customers as a trusted advisor who delivers measurable business value.
• Consistently drive deeper adoption across your portfolio.
• Work with the sales team to generate net-new opportunities through referrals
• Generate at least 8 expansion opportunities across your book of business.

Senior Customer Success Manager

Full-stack Engineer

• Complete a full audit of the GTM stack and bring data quality from its current state to a reliable foundation
• Build enrichment pipelines that keep account and contact data accurate and current
• Deploy and configure all core integrations so tools are talking to each other cleanly
• Identify website visitors, tweak lead scoring, and create automated routing so the right accounts surface to the right people without manual work
• Launch the first fully automated campaign end to end — list builds, sequences fire, responses route, pipeline gets attributed
• Create a solution that ensures data quality stays reliable
• Deploy outbound sequencing across the full AE team with personalized, data-driven messaging at scale
• Deliver full marketing attribution so every dollar spent is connected to pipeline, including renewal and expansion
• Have a custom intent signal engine surfacing buying signals the team can act on in real time across both new logo and customer accounts
• Run multi-channel orchestration where a single trigger fires coordinated actions across tools — including CS touch points with no human handoff required
• Deploy renewal risk scoring that flags accounts showing early churn signals — before CS has to manually notice
• Own a GTM infrastructure that operates with meaningful autonomy — and have a clear point of view on where it goes next
• Build a customer health score that informs both Sales and Marketing, not just CS

GTM Engineer

• Lead development teams to ensure sprint commitments are met
• Architect complex systems that leverage AI capabilities
• Conduct technical reviews and address performance issues
• Act as coach/manager and manage escalations promptly
• Propose new processes to streamline delivery
• Conduct technical planning and subtasking

Principal Software Engineer, AI

• You will be the technical anchor of the team building Clutch's real-time lending decisioning engine.
• Set the technical vision for new projects, own the architecture of significant parts of the system, and take on the hardest, most ambiguous problems.
• Make and document the key technical decisions on the initiatives you own and communicate progress, risks, and blockers proactively.
• Actively help the rest of the team grow, through detailed peer reviews, mentorship, and pairing that raise the bar on code quality, design, and maintainability.
• Within 3 months, ramp quickly on the decisioning engine, taking ownership of a meaningful feature or initiative end-to-end.
• Debug and resolve complex issues independently, providing clear root-cause analysis and documenting learnings for the team.
• Set the technical vision and lead the design and delivery of a significant new initiative or partner go-live within 6 months.
• Drive predictable delivery by communicating progress, risks, and blockers without being prompted.
• Identify architectural decisions with cross-team implications and influence how the broader engineering org solves comparable problems within 9 months.

Senior Software Engineer – Lending

Account Manager

• Drive Revenue Growth: Own retention, expansion, and Net MRR performance across your portfolio by identifying opportunities to grow customer investment and reduce churn risk.
• Lead Retention and Save Efforts: Confidently manage at-risk situations and cancellation requests by diagnosing the core issue, reinforcing value, and executing thoughtful save strategies.
• Build and Maintain Trusted Relationships: Manage a dedicated portfolio of customer accounts by understanding each customer’s business goals, current challenges, and opportunities for growth.
• Deliver Consultative Recommendations: Translate customer goals, performance data, and Clutch product capabilities into clear recommendations across multiple products that improve account outcomes and support revenue growth.
• Own the Sales Process: Lead expansion and renewal opportunities from discovery through close, including value positioning, objection handling, negotiation, and pricing conversations.
• Develop Account Plans: Use performance data, customer goals, and product adoption signals to identify expansion opportunities, improve account health, and reduce churn risk.
• Accurate Forecasting and Reporting: Maintain clean and accurate records in HubSpot, including account activity, pipeline visibility, renewal opportunities, expansion opportunities, and risk status.
• Collaborate Cross-Functionally: Partner with Customer Success, Product, Marketing, and Revenue leadership to surface customer feedback, improve the customer experience, and advocate for client needs.

SDET

• Enhance the team’s capacity to deliver assigned stories by end of sprint
• Cultivate Camaraderie: Ensure that Core Values are living and breathing throughout the project team and that these values are reflected within the QA assurance team and department.
• Increase Velocity: Perform automated testing and API testing for complex applications and scenarios; locate and document edge cases by understanding the depth and intricacies of a project; assess possible risks and propose modifications to the acceptance criteria.
• Expand Frameworks: Demonstrate proficiency at automation, API testing, or accessibility testing principles and solutions.
• Increase Velocity: Enhance the team's capacity by documenting plans to anticipated risks/blockers, advancing best practices, and mentoring peers and more junior team members.
• Guide Development: Serve as a technical SME in the sprint, ensuring successful delivery of the sprint commitment by prioritizing testing efforts, enhancing acceptance criteria, etc.
• Evaluate Skills: Conduct recruiting interviews and analyze candidates to ensure successful hiring/contracting.
• Demonstrate Expertise: Present robust testing plans, metrics, and other valuable insight and direction during sprint review meetings; propose solutions and improvements to clients that improve our ability to deliver value.
• Key Activities: Ensuring the team understands acceptance criteria, tracking daily progress, limit team’s QA kickback, deliver stories as assigned, find opportunities to increase capacity and velocity.

Senior SDET

Machine Learning Engineer

• Take ownership of the ML API that serves NBA recommendations, partnering with the data engineer who's been building it, and harden it for low-latency production traffic.
• Ship your first agent tool contract end-to-end: schema design, handler implementation, structured-error contract, unit tests, deployed via HAL's runtime.
• Set up the eval foundation for our agents: golden transcripts, rubric-based judges, regression suites that run on every prompt or model change.
• Build a working relationship with HAL and become the data team's go-to on agent infrastructure decisions.
• Be the primary owner (with data engineer support) of the ML API and the agent tool layer that wraps NBA and our ML models.
• Have shipped at least one production-grade agent (customer-facing or partner-facing) with prompt versioning, evals, observability, and multi-tenant gating in place.
• Define the data team's playbook for shipping a new ML model as an LLM-callable tool, end-to-end.
• Mentor the data engineers on ML/AI patterns so they can confidently support and extend the systems you own.
• Operate as the technical lead within the data team for NBA production AI at Clutch — the person other teams come to when they want to understand how NBA ships ML and agents responsibly.
• Have measurably improved agent cost and latency (target: 30%+ reduction on P95 latency or per-conversation cost on at least one agent).
• Be shaping the data team's roadmap for the next generation of ML and AI products, in partnership with the PM and data scientist.
• Help us decide what to hire next as the team scales.

Senior ML Engineer

Attorney

• Quickly assess Clutch's legal tech stack — including our CLM platform and trust center — and identify early improvements
• Independently manage due diligence requests from vendors and credit union partners, applying your existing experience to respond accurately and with sound judgment
• Build relationships across the organization to understand where information lives and who owns it
• Own contract intake and tracking in the CLM from day one, bringing structure and process rigor to an existing system
• Independently manage due diligence requests, exercising sound judgment about what to share and when to escalate
• Take ownership of trust center maintenance, keeping documents current, and tracking renewal deadlines
• Actively support the sales team during contract redline reviews by identifying issues and flagging concerns
• Develop working familiarity with the regulatory and compliance environment relevant to our credit union partners
• Proactively monitor contract and compliance document expiration dates and own the deadline-tracking process end-to-end
• Help identify and implement process improvements that make the legal team more efficient
• Serve as a knowledgeable, trusted resource for internal teams on legal operations and contract-related questions
• Take on greater ownership of cross-functional legal projects with increased autonomy.

Legal Operations Associate

• Take ownership of a portfolio of 16–20 accounts, including several large customers in active onboarding.
• Build relationships with executive sponsors and key day-to-day contacts.
• Lead the executive onboarding portion of implementations, ensuring stakeholders are aligned on goals and success measures.
• Support adoption of core product capabilities and begin spotting areas for future expansion.
• Successfully complete onboarding for your in-flight customers and transition them into post-implementation success management.
• Establish "3 wide, 3 deep" relationships across your accounts.
• Partner with internal teams (product, support, implementation) to solve customer challenges and influence roadmap priorities.
• Lead high-impact QBRs/EBRs (onsite & virtual) with executive stakeholders, supported by data-driven insights into customer performance and opportunities.
• Identify and surface 2–3 expansion signals to your AE.
• Use customer data to surface actionable insights that drive adoption and executive alignment.
• Be recognized by your customers as a trusted advisor who delivers measurable business value.
• Consistently drive deeper adoption across your portfolio.
• Work with the sales team to generate net-new opportunities through referrals.
• Conduct whitespace analysis across your portfolio and develop identified opportunities jointly with your AE.