Job Title: Senior Associate Graphic Designer Location: RemoteDescriptionFounded in 2004, BME Strategies is a Massachusetts-based consulting firm specializing in the design, implementation, and evaluation of public health programs for local, regional, and state government partners.

We are Bugcrowd. Since 2012, we’ve been empowering organizations to take back control and stay ahead of threat actors by uniting the collective ingenuity and expertise of our customers and trusted alliance of elite hackers, with our patented data and AI-powered Security Knowledge Platform™.

At Malama, moms are our north star. We meet moms where they are, in real lives not ideal patient scenarios, and we design care that works for those who are historically underserved. Our Care Navigators and doulas show up as co-conspirators, not service providers — delivering presence, confidence, and calm, and treating every mom as a capable, whole person whose instincts matter. We're outcomes-driven in the truest sense: we generate evidence from every interaction, change what isn't working when the data tells us to, and measure success by whether we're transforming lives, not just completing encounters. We step into the gap for moms, for each other, and for the communities we serve — and if that's the kind of work that gets you out of bed, then this role is for you.We are seeking a Chief of Staff to work directly with our leadership team at a pivotal moment in Malama's growth. This role is two things in equal measure: the operational backbone that keeps our organization running, and the market activation engine that gets Malama contracted, credentialed, and delivering care in new states. You will oversee the finance and HR functions that keep us compliant and well-run, and own the payer operations work that makes us scalable. If you move fluidly between vendor oversight and health plan strategy and you're passionate about equitable maternal health, then this role is for you.Role Responsibilities:•     Oversee Finance and Accounting Functions - serve as the management layer above our fractional finance team — controller, AP/AR, and grants specialist — ensuring accuracy, timeliness, and alignment with organizational priorities; own the relationship with our fractional CFO and hold the function accountable to deliverables•     Oversee HR Services - manage the relationship with our HR services provider; ensure payroll, benefits administration, compliance, and employee relations are running smoothly and escalate issues appropriately; serve as the internal escalation point for people operations matters•     Own Team Operations - be the point of contact for expense policy, offsite logistics, budget questions, and day-to-day operational matters; ensure the team has clear answers •     Support Executive Bandwidth - shield the CEO's time from operational and administrative workstreams; prepare briefings and follow-up documentation for high-priority external meetings•     Own State Credentialing and Provider Enrollment - oversee our credentialing team, ensuring we are meeting deadlines for credentialing, licensure, and provider enrollment process in each new state market; maintain tracker for licensing status, renewal timelines, and market readiness•     Lead Market Activation - own the end-to-end operational path from contract execution to first patient encounter in each new market; coordinate across clinical, legal, and BD to remove blockers and keep go-live timelines on track•     Drive Payer Readiness - produce the briefings, readiness assessments, and market entry playbooks the CEO needs to walk into health plan conversations with confident, specific answers•     Build for Replication - ensure every market entry produces a playbook that makes the next one faster — state expansion should get more efficient with every go-live•     7+ years of experience in operations, chief of staff, strategy, or healthcare administration — you've built and overseen functions, not just executed within them•     Demonstrated experience in payer operations, Medicaid managed care, provider enrollment, or value-based contracting — you understand how health plans work and what it takes to get contracted•     Experience managing or overseeing finance functions — comfortable holding a controller, AP/AR team, or fractional CFO accountable to deliverables•     Experience overseeing HR services or people operations, including vendor management, compliance, and employee relations•     Experience navigating multi-state regulatory or licensing environments in healthcare•     Exceptional judgment about what needs your attention and what doesn't — you manage up and manage vendors without creating noise for the CEO•     Strong written and verbal communication; able to produce a payer-facing brief and an internal ops memo in the same week without losing altitude on either•     Comfortable with the pace and ambiguity of a small, high-growth organization•     Preference for owning processes end-to-end, surfacing risks and breakages early on, generating hypotheses, testing rapidly, and iterating with feedback (preference for former founders)•     Excellent communication skills, client-ready •     Experience with a dual-entity structure (MSO/PC or similar) is a strong plus•     Prior chief of staff experience at a startup, health tech, or mission-driven organization is a strong plus•     Competitive salary commensurate with experience•     Health benefits•     Remote-first with flexibility•     Home office and professional development support•     Equity stake in a mission-driven company at an early and consequential stage•     Clear path to VP/COO as the organization scales•     Applications reviewed on a rolling basis; strong candidates will be invited for a paid one-week pilot instead of an extended interview loopEqual OpportunityMalama is an equal opportunity employer. We strongly encourage applications from Black, Indigenous, Latina/x, and other women of color, people with lived experience of pregnancy, and community members. We believe that diverse teams build better care — and we are committed to creating a workplace where every person can do the best work of their career.

CompanyA1 is building a proactive AI smart assistant for everyday users to bring intelligence to conversations, errands, organising and workflows.Our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior.RoleAs an Applied AI Engineer, you will turn model capabilities into real product behavior. You will own problems end-to-end, from shaping model behavior, to building the systems around it, to ensuring it performs reliably in production.This role sits at the intersection of machine learning, systems, and product, focusing on making AI actually work for users, not just in demos, but in real-world usage. FocusBuild and ship AI features end-to-end (model → system → user experience)Design and iterate on prompts, tools, memory, and agent workflowsTurn raw model outputs into structured, reliable, and predictable behaviorsDebug issues across the full stack (model, orchestration, infra, UX)Optimize for latency, cost, and production reliabilityDevelop lightweight evaluation frameworks to measure real-world performanceWork closely with product and engineering to translate ambiguous problems into working systems Tech StackPythonPyTorch / JAXLLMs (OpenAI-style APIs, LLaMA, Qwen, etc.)Inference / serving (e.g. vLLM)Vector DB Ideal ExperienceStrong foundation in machine learning and modern neural network architectures.Hands-on experience with training, fine-tuning, or deploying ML modelsAbility to write clean, production-quality codeComfort working across abstraction layers (model → infra → product)Strong problem-solving skills in ambiguous, fast-moving environmentsBias toward shipping, iteration, and continuous improvement OutcomesML models in production meet expected accuracy, latency, and reliability targets.Production issues are identified quickly, debugged effectively, and root causes addressed.Data pipelines, training loops, and inference systems are robust, reproducible, and maintainable.Collaborates effectively with engineers, product, and research teams to deliver reliable ML-powered features.Iterations on models and systems are driven by real-world signals and measurable improvements. How We Work The best products today in the world were built by small, world class teams. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical AI product.  Interview processIf there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews.Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite.We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.

About the RoleWe're hiring a Senior ML Engineer to be the data team's owner of production ML and AI agent systems. You'll take models from prototype to production, build and maintain the low-latency ML API that powers our Next Best Action (NBA) engine, and partner with our HAL team to ship LLM agents that turn NBA recommendations into real conversations with credit union members and partners. This is a builder's role at a builder's moment: NBA is going live, the agent infrastructure is being shaped now, and you'll define how Clutch does production AI for years to come.About the TeamThe Data team today is five people: one data scientist, two data engineers, one data analyst, and one product manager. We're small, ambitious, and shipping fast — two ML models heading to production, an ML API being built, and two AI agents (one customer-facing, one partner-facing) in active development. You'll be the senior technical voice for ML and AI engineering inside the team, and the bridge to HAL, the platform team that builds Clutch's agent runtime. Expect tight feedback loops, real autonomy, and a team that values pragmatism over purity.What You’ll DoWithin 3 months, you will: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 trafficShip your first agent tool contract end-to-end: schema design, handler implementation, structured-error contract, unit tests, deployed via HAL's runtimeSet up the eval foundation for our agents: golden transcripts, rubric-based judges, regression suites that run on every prompt or model changeBuild a working relationship with HAL and become the data team's go-to on agent infrastructure decisionsWithin 6 months, you will:Be the primary owner (with data engineer support) of the ML API and the agent tool layer that wraps NBA and our ML modelsHave shipped at least one production-grade agent (customer-facing or partner-facing) with prompt versioning, evals, observability, and multi-tenant gating in placeDefine the data team's playbook for shipping a new ML model as an LLM-callable tool, end-to-endMentor the data engineers on ML/AI patterns so they can confidently support and extend the systems you ownWithin 9 months, you will: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 responsiblyHave 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 scientistHelp us decide what to hire next as the team scalesWhat You’ll BringRequired7+ years of engineering experience, with a proven track record of building and shipping production ML systems — you've taken models from prototype to production and own what happens after deployStrong Python — most of the work (ML training, evaluation, the ML API, data pipelines) is in Python, and you're comfortable in production codebases, not just notebooks. Some TypeScript is involved for tool contracts and integration with our agent runtime — you don't need to be an expert, comfort with a second language is enoughTool-design discipline for LLM consumption. Can take an ML model or data source and shape it into an LLM-callable tool with narrow input/output schemas, identity-required and scope-gated dispatch, and structured-error contracts (RATE_LIMITED, UPSTREAM_ERROR, NOT_FOUND) that the agent runtime converts to graceful tool-results instead of crashingEval discipline for non-deterministic systems. You treat evals as the unit-test equivalent for agents: golden transcripts, rubric-based judges, regression suites that run on every prompt or model change. You understand the difference between offline metrics and online evals, and use bothPrompt-shape literacy. You read a system prompt the way another engineer reads code: audience, register, compliance guardrails, template-var allow-list, allowed-tools section. You debug "why did the agent do that?" by reading the prompt and tool descriptions before reaching for model swaps. You've shipped at least one agent where the prompt was version-controlled and reviewed as codeTool implementation rigor. You build handlers behind tool contracts with identity fields read from request context (never from LLM-supplied args), output re-parsed through the tool's schema before return, structured-error throws on every failure path, and unit tests covering both happy path and each named error. You have a story about a tool you shipped, a bug production traffic surfaced, and how you hardened itExperience building and maintaining low-latency production APIs (FastAPI, BentoML, or equivalent), with opinions on serving, batching, and cachingComfortable in AWS (Lambda especially), Docker, and GitHub-based workflowsYou use AI tooling actively in your engineering workflow — not as a novelty, but as a default. You'll be expected to demonstrate this during the technical evaluationDesiredProduction agent observability: reading audit rows, distributed traces, per-tool latency and error metricsCost and latency tradeoff intuition in agent loops — has measurably reduced per-conversation cost or P95 latency on a live agentFamiliarity with an agent runtime framework (Vercel AI SDK, LangChain, LlamaIndex, or equivalent)Multi-tenant agent gating experiencePrior SaaS and/or FinTech experienceNice to have but not required: Databricks, PySpark, TerraformPlease note that this role may evolve as our business needs change, so we appreciate your flexibility and adaptability.What’s In It For You?Remote Flexibility: Enjoy the freedom of remote work from anywhere, balancing life and career seamlessly.Unforgettable Off-Sites: Twice a year, bond with colleagues in exciting destinations, fostering teamwork and fresh ideas.Paid Time Off and National Holidays: Enjoy 20 PTO days yearly and the National Holidays for relaxation and rejuvenation.Stock Options: Joining us means having a stake in our success, so you'll receive stock options as part of your compensation package.Home Office Setup: Create your ideal workspace with a dedicated budget for home office essentials.Work Trip Budget: Grow personally and professionally with a budget for work-related trips and co-working.About UsClutch is a revolutionary vertical SaaS company, proudly backed by Andreessen Horowitz (A16z), aimed at revolutionizing the way Credit Unions engage and change the lives of their members. As a champion of financial well-being, we address the urgent need for affordable lending solutions in an era where the average American grapples with over $155,000 in household debt.  Unlike traditional financial institutions, Clutch develops software to turn Credit Unions into FinTech lenders and leverage their balance sheets to responsibly lend to over 130M Americans. Our mission extends beyond mere financial transactions; we strive to fundamentally enhance the way credit unions interact with their members. By integrating cutting-edge technologies and user-centric designs, we help credit unions provide seamless digital experiences that are on par with leading tech companies. This approach not only preserves but revitalizes the longstanding tradition of community and member-focused service inherent to credit unions.Please note: This position is offered on a contractor basis. Applicants must have the necessary documentation and authorization to work in the country where the job is located. Clutch cannot provide sponsorship or assist with obtaining work permits for this role.

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