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This is a remote position Senior Software Engineer (Remote)—AI Product & Platform Engineering We build AI-powered products that improve customer workflows (speed, accuracy, confidence). As we deliver outcomes, we extract the repeatable patterns into an internal AI engineering platform that makes the next outcome faster and safer. This is not a "build it and they will come" platform role; platform adoption is earned through shipped product value. This role reports to a Principal Software Engineer. Remote, with overlap expected within +/-2 hours of America/Chicago. Responsibilities · Ship end-to-end product increments (spec → build → release → operate) · Use the right tool for the job; our current default is a modern TypeScript + React full-stack (server rendering, RSC-style patterns, streaming), and we stay flexible as we learn · Build AI features with disciplined patterns: tool calling, structured outputs, grounding, and streaming UI · Partner with product, design, and SMEs to define outcomes, validate assumptions, and iterate quickly · Turn lessons from shipped features into reusable "paved road" primitives (eval harnesses, guardrails, shared tool/prompt patterns) · Build evaluation + release loops (tests, golden datasets, regressions, targeted human review; LLM grading where it fits) · Own reliability, performance, and cost; instrument with OpenTelemetry and define SLOs for key flows · Enforce security and privacy by design (safe tool access, authZ, auditability, prompt-injection mitigations, PII handling) Success in 90 Days · Ship customer-impacting AI features with telemetry and tests · Improve eval coverage/quality and move a key metric (grounding/tool-use, latency, reliability, or cost) · Deliver a reusable platform primitive that gets adopted via shipped features (not a standalone framework) Required Qualifications · Senior-level TypeScript + React experience in production systems · Experience building React full-stack apps (routing, server rendering, server components/actions, backend-for-frontend patterns) · Async + streaming experience (SSE/streams; cancellation/backpressure awareness) · Comfortable on macOS and Linux; fluent with CLI for local dev, debugging, automation, and as an API · Strong Git discipline (PR workflows, code reviews, conventional commits, clean commits) and ability to raise the bar through review · Strong testing discipline and ability to build testable abstractions · Strong API integration experience; ability to ship, measure, and iterate in ambiguity Preferred Qualifications · Experience with the Vercel AI SDK (Core + UI) for streaming experiences, tool calling, and chat UX patterns · LLM integration experience (OpenAI/Anthropic/Bedrock or similar) with tool calling / structured outputs · Experience building internal platform primitives with real adoption (SDKs, shared libraries, paved roads) · Experience with AI evaluation frameworks and regression testing for model outputs · Experience with API design and an intuition for · Observability and/or security depth for AI systems What Sets You Apart · You're outcome-driven: ship, measure, iterate · You build reusable components by proving the use-case in real product work · You're energized by a startup mentality: nimble execution, fast learning, pivot readiness Operational Details · Employment type: Full-time · Location: Remote (US-based) · Timezone: +/-2 hours of America/Chicago AAPC () is the world’s largest and fastest-growing healthcare training, certification, and solutions association. DRIVEN | Self-starts and stays highly motivated to achieve ambitious goals. Shares contagious energy and enthusiasm liberally. Takes initiative without always being directed. Demonstrates confidence in decision-making and effectively balances autonomy and authority with accountability. HUMBLE | Learns, adapts, and improves relentlessly. Seeks feedback without insecurity and implements coaching. Recognizes others' contributions gratefully. Approaches work and relationships with an abundance mentality. Places the needs of others above self. TRANSPARENT| Integrity-centered, honest, truthful, and trustworthy in all aspects of work. Keeps commitments to external and internal parties. Holds self strictly accountable, valuing the trust placed in them by others. SUPPORTIVE | Empowers and uplifts others. Listens actively and responds with empathy and understanding. Prioritizes well-being and growth of team members and customers ahead of own interest. Faces challenges together, believing in collective strength and unity. INNOVATIVE | Entrepreneurial spirit with a scrappy mentality. Dreams big, sees opportunity, pursues full potential, and finds ways to accomplish the impossible. Rolls up sleeves and does real work. Works quickly, intelligently, and flexibly. What we Offer: • Comprehensive benefits package including medical, dental and vision insurance, • Health Savings Account, • Generous PTO and Holiday Pay, • 401(k) retirement plan AAPC Values: DRIVEN | Self-starts and stays highly motivated to achieve ambitious goals. Shares contagious energy and enthusiasm liberally. Takes initiative without always being directed. Demonstrates confidence in decision-making and effectively balances autonomy and authority with accountability. HUMBLE | Learns, adapts, and improves relentlessly. Seeks feedback without insecurity and implements coaching. Recognizes others' contributions gratefully. Approaches work and relationships with an abundance mentality. Places the needs of others above self. TRANSPARENT| Integrity-centered, honest, truthful, and trustworthy in all aspects of work. Keeps commitments to external and internal parties. Holds self strictly accountable, valuing the trust placed in them by others. SUPPORTIVE | Empowers and uplifts others. Listens actively and responds with empathy and understanding. Prioritizes well-being and growth of team members and customers ahead of own interest. Faces challenges together, believing in collective strength and unity. INNOVATIVE | Entrepreneurial spirit with a scrappy mentality. Dreams big, sees opportunity, pursues full potential, and finds ways to accomplish the impossible. Rolls up sleeves and does real work. Works quickly, intelligently, and flexibly. What we Offer: • Compensation commensurate with experience, • Comprehensive benefits package including medical, dental and vision insurance, • Health Savings Account, • Generous PTO and Holiday Pay, • 401(k) retirement plan This company is committed to fairness and equal opportunity in our hiring practices. We do not discriminate on grounds unrelated to a candidate's ability to perform the duties of the job. Our focus is on finding the best person for each role, based on merit and fit, to ensure success both for our company and for the individual's professional growth. We are an Equal Opportunity Employer. This company does not and will not discriminate in employment and personnel practices on the basis of race, sex, age, disability, religion, national origin, or any other basis prohibited by applicable law. Hiring, transferring and promotion practices are performed without regard to the above-listed items.

This role is not open to visa sponsorship or transfer of visa sponsorship including those on H1-B, F-1, OPT, STEM-OPT, or TN visa, nor is it available to work corp-to-corp. Red Ventures Home empowers partners through a unique blend of high-scale proprietary distribution, data models, AI-enabled applications, and strategic client partnerships. We help our clients unlock significant and sustainable growth across the home services ecosystem, ranging from telecom and security to energy and home automation. We are seeking a Senior AI Product Manager to join our Agentic Delivery team within our Home Client Services division. This team is responsible for building and operationalizing the Growth Operating System - the shared execution infrastructure that turns data, intelligence, and agentic workflows into coordinated, scalable growth across our partner portfolio. We’re looking for someone who will learn the workflows and team operations powering our business to then prototype, deploy, and orchestrate the agents and agentic workflows that power our Growth Operating System. This role requires a hands-on approach: you must analyze complex operational processes, identify where agents can accelerate manual work, and then build the roadmaps, frameworks, and agents to unlock these processes. You will lead key workflows and be a direct contributor to building the agents within them. We believe agentic development is becoming a core competency, not a specialty. The foundational capabilities now present in tools like Claude Code, Claude Cowork, OpenAI Codex, OpenClaw, NemoClaw, and other agent harnesses mean that anyone who understands how agents compose into workflows can build production-grade systems. We’re looking for someone who already operates this way - someone who has built agents, connected them to real data and systems, and used them to create measurable value. If you’ve been building agentic systems for yourself or your team and want to do it at scale, this is the role. This role will have high visibility across the client services division. You will be embedded in cross-functional work that touches our largest client relationships, contributing directly to how the organization delivers growth through agentic systems. What You’ll Do • Develop starter kits and accelerator kits: Package your agents, orchestration patterns, and workflows into reusable kits that enable business delivery teams to adopt agentic execution within their client engagements. You will drive adoption by making it easy for others to use and extend what you build., • Roadmap and build agentic systems: You will sit with the business team to identify opportunities and then design, create, and deploy the agents that power our coordinated execution systems. These frameworks will be the foundation for enabling others to build bespoke solutions as well. You will work to compose these agents into end-to-end workflows that replace fragmented manual processes with scalable, intelligent systems., • Own workstreams across the delivery workflow: Operate as the day-to-day product lead across key workstreams within the agentic delivery workflow. You will define the “how” for your areas of ownership, turning strategic vision into execution plans and driving progress across cross-functional teams., • Shape the Growth Intelligence integration: Partner with data science, engineering, and client teams to define how structured business context — experiment outcomes, market signals, compliance rules, design system specifications, and partner configurations — is made accessible and actionable by the agents you build., • Measure and communicate impact: Define success criteria for your workstreams, track outcomes, and communicate ROI and areas of opportunity to leadership. You own the results of what you ship. Who You Are • You’re a builder: You can write prompts, read code, build prototypes, and debug agent behavior. You have a strong technical and data foundation that enables you to partner deeply with data scientists and engineers while also being a direct contributor to the systems you’re building., • Systems thinker: You can break down complex processes into the individual units of work agents can perform, connect those units into orchestrated workflows, and design the intelligence layer that makes the whole system smarter over time. You think in terms of compounding systems, not one-off automations., • Innovative, entrepreneurial, and resourceful: You thrive in 0→1 environments, working through ambiguity, testing emerging capabilities, and creating new playbooks. You’re energized by building things that don’t exist yet and are comfortable operating at the frontier of what’s possible with agentic development driving meaningful business value., • Influential communicator: You communicate with clarity, build trust across cross-functional and client stakeholders, and drive alignment in ambiguous environments. You can articulate the “why” behind technical decisions to non-technical audiences and rally teams around a shared vision. Experiences You’ve Had • Agentic Builder and Deployer: You have built and deployed agents and agentic workflows that solve real problems, moving beyond demos to create systems operating in production. You understand how to scope an agent’s role, connect it to data sources and tools, define its rules of engagement, and compose multiple agents into reliable systems, while managing the practical constraints of reliability, orchestration, evaluation, and governance. You are fluent in the development patterns emerging across agentic environments like Claude Code, Claude Cowork, OpenAI Codex, OpenClaw, NemoClaw, or similar tools, using them daily to build and orchestrate., • Working across complex, cross-functional environments: Experience influencing cross-functional leaders, navigating competing priorities, and making high-impact product decisions in fast-paced, ambiguous settings., • Delivering measurable business outcomes through AI/ML: Proven track record of driving behavior change, optimizing key metrics, and demonstrating clear ROI through AI-powered products or systems., • Data and analytics fluency: Comfortable with SQL, python, data modeling, experimentation frameworks, and the analytical rigor required to evaluate whether agentic systems are creating real value versus just running tasks. Compensation • Cash Compensation Range: $155,000 - $185,000 + Potential Equity This range reflects total cash compensation, which may include base salary only or base salary plus target bonus, depending on the role. Where eligible, equity may also be offered separately and not included below. Actual compensation varies based on location, experience, and qualifications. Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements. • Health Insurance Coverage (medical, dental, and vision), • Life Insurance, • Short and Long-Term Disability Insurance, • Flexible Spending Accounts, • Holiday Pay, • 401(k) with match, • Employee Assistance Program, • Paid Parental Bonding Benefit Program, • Flexible Paid Time Off (PTO): We believe time to rest and recharge is essential. That’s why we offer a generous and flexible PTO policy. Full-time employees accrue 20 days of PTO for a full calendar year annually, with an increase to 25 days after five years of service. Who We Are: Red Ventures is a global portfolio of high-growth companies — spanning several U.S. businesses, a joint venture in the health services industry, and strategic investments in Europe. Their businesses include The Points Guy, Lonely Planet, Bankrate, the Allconnect Platform, RV Home Client Growth, RV Growth & Transformation, Sage Home Loans Corporation, and more. Across the portfolio, Red Ventures businesses deliver seamless digital experiences for consumers, help Fortune 100 clients solve large-scale digital growth challenges, and create world-class experiences and opportunities for employees. Learn more at ___ and follow @RedVentures on LinkedIn and Instagram. At Red Ventures, we believe diverse, inclusive teams are better. To help you better understand our core values and beliefs, we encourage you to watch this brief YouTube video:___. This will give you insight into the principles that guide our work and our commitment to fostering an inclusive environment. Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact . If you are based in California, we encourage you to read this important information for California residents linked___. #LI-LR1 Click here for more details regarding the employee privacy policy: ___ Questions about this Privacy Notice can be directed to ___. Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team.

We are a development, data science and design studio that works closely with founders and executives to create custom software and machine learning solutions. AE Studio is an LA-based company focused on increasing human agency by making the AGI future go well. We believe alignment is solvable; people just haven’t tried hard enough. For us, that means focusing on neglected ideas that could unlock major breakthroughs. We’ve spent over a decade helping clients, from startups to companies like Samsung, Walmart, Berkshire Hathaway, and Goodfire, solve complex technical problems and bring ambitious products to life. We apply the same structures to research. Instead of a client, we partner with visionary researchers exploring neglected alignment ideas. We’re a full-stack R&D group combining engineering, science, and product capability. This puts us in a unique position to move quickly and make real progress on one of the most important problems of our time. We're fully bootstrapped. We don’t rely on venture capital or private equity. Profits from our client work go directly into internal Skunkworks projects, technical research, and policy engagement. This gives us the freedom to pursue high-risk, high-upside ideas that typical funding models neglect. We can commit to long-term bets without being constrained by short grant cycles or investor timelines. Our alignment efforts include in-house work, alignment clients like Goodfire AI, and collaborations with Redwood Research and researchers at Anthropic and DeepMind. In the past, we also led pioneering research in brain-computer interfaces, and we continue to expand our scope as the stakes rise. If you care about actually solving alignment and want to build, we want to talk to you! We’re hiring a strategic and technical operator to lead execution across research and product efforts. You’ll turn abstract ideas into clear roadmaps, keep teams moving, and ensure progress is visible and aligned with goals. You’ll own high-leverage projects from end to end. Some may be internal Skunkworks efforts. Others may involve clients, grants, or research partners. You’ll help us explore neglected AI alignment ideas, technical bets, or automation pipelines, and move them from concept to real-world impact. We’re hiring Project Runners—entrepreneurial, AI-fluent product leaders who can own delivery for high-stakes projects from end to end. You’ll be embedded in fast-moving teams, often at the intersection of cutting-edge AI, product-market fit exploration, and enterprise execution. This is a hybrid role: part technical PM, part AI architect, part founder-in-training. You’ll run client or internal projects with excellence, polish, and hustle—while building the skills to one day launch or lead a company of your own if AGI doesn't kill everyone. Own AI and Software Projects E2E driving projects from kickoff to launch across generative AI, automation, agent orchestration, or custom tooling. Own delivery and outcomes. Act as Product Owner and Team Lead, translating vague ideas into tested hypotheses. Define scope. Prioritize fast. Build what matters with devs, designers, and researchers. Be Enterprise-Ready to communicate clearly with demanding clients. Align stakeholders. Set expectations. Bring confidence and clarity to complex discussions. Build with AI Tools (Not Just Manage). You’re fluent in LLMs, LangChain, RAG stacks, vector search, OpenAI APIs, fine-tuning, or similar. You prototype and validate with your own hands. Work like a Founder while navigating ambiguity, wearing multiple hats, and making hard calls. Build with urgency and care. Take extreme ownership and find leverage. Spin Off (Eventually) - AE supports startup spinouts. You’ll have the opportunity to become CEO or CTO of a venture—either something you incubate here or that AE backs you to lead. • Proven experience in product leadership, AI product development, or startup building, • Strong understanding of generative AI stacks, LLMs, vector DBs, and APIs, • Entrepreneurial mindset: bias toward action, scrappiness, and experimentation, • Strong communicator: clear with clients, inspiring with teams, strategic with stakeholders, • Ability to lead cross-functional teams and ship without waiting for permission, • Preference for small teams, 0→1 problems, and real-world results over theory, • Experience working in consulting, agencies, startups, or early-stage ventures, • Prior founder/operator experience or deep desire to build a venture, • Experience building prototypes or MVPs in AI/no-code/low-code, • Exposure to AGI-aligned thinking or AI safety concepts, • Fluent in user research, iterative development, and lean experimentation, • Network or domain expertise in areas where AI can unlock 10x value, • High client satisfaction and consistent delivery on ambitious timelines, • Impactful prototypes that create real business value, • Growth in your leadership path: from Runner → Director → CEO/CTO, • Not a project babysitter. You ship. You lead. You own., • Not a slide deck creator. You prototype, you test, you build real things., • Not a solo act. You bring others along, unblocking and collaborating effectively., • Not a corporate PM. You’ll get your hands dirty in tools, code, and strategy., • Build cool things using the coolest and more modern tools and actually ship it, • Work alongside top 0.1% engineers, researchers, designers, and founders, • Access to AE’s internal ideas, capital network, and spinout playbook, • Grow into a founder with guidance, support, and real projects to prove yourself on Salary range from $120k/year to $220k/year. Not in the range? That's fine, you can still apply and our team may fit you in a more senior position that we're not actively hiring right now, but we are growing fast and may have other openings soon. This range considering people based in California EQUITY Working at AE means receiving equity in our client projects and in Skunkworks ventures. The equity is priced at $0 when granted for tax reasons, but AE invests millions into these projects. Equity comes from reduced margins on client work and internal funding. You get a real stake in the things you help build. The longer you stay, the more value you create and the more equity you receive. If you leave on good terms, you can retain 20% of your equity by staying engaged. If you spin out a Skunkworks venture, you retain 100%.

GTM Engineer - GTM Engineer - DockMaster About Dockmaster.com Dockmaster.com is the leading marina management platform serving entertainment attractions and venues across the waterfront industry. Our software powers dock operations, reservations, billing, and guest experiences for marinas nationwide. We’re building a modern revenue engine to match our ambitions — and this role is at the center of that transformation. The GTM Engineer is a hybrid builder–operator who designs and maintains the technical infrastructure that powers Dockmaster’s revenue engine. Rather than manually running sales and marketing operations, you’ll build systems that automate, scale, and optimize them. You’ll sit at the intersection of engineering, data, and go-to-market strategy — turning workflows that take hours into systems that run in seconds. In short: you don’t just run the playbook — you build the machine that runs it. Working cross-functionally with Sales, Marketing, Product, and Professional Services. You’ll be embedded within the revenue team but operate with significant autonomy — think of yourself as the engineering arm of the go-to-market organization. Collaborates With Sales (SDRs, AEs), Marketing, Product, Data, Professional Services, Product Manager, Sales, Marketing Lead. Why Dockmaster • Ground-floor opportunity to build the entire GTM technical infrastructure from scratch, • Direct impact on revenue — your systems will power every dollar of new business, • Work alongside a leadership team that values speed, experimentation, and automation-first thinking, • Category-defining SaaS platform in a vertical with massive, untapped potential What your day will look like: Sales Automation and Productivity • Build and maintain tools that dramatically increase SDR and AE productivity across the full sales cycle, • Design automated lead enrichment pipelines that append firmographic, technographic, and intent data to inbound and outbound leads in real time, • Build prospecting automation workflows that surface high-fit accounts based on ICP criteria and buying signals, • Architect CRM workflow automations in HubSpot to enforce pipeline hygiene, automate stage progression, and trigger internal notifications, • Develop AI-driven outbound messaging sequences that personalize at scale using prospect-specific context, • Create the systems that generate and nurture a pipeline without constant manual intervention, • Build automated outbound campaign engines that execute multi-channel sequences (email, LinkedIn, phone) on a defined cadence, • Develop AI-generated personalized outreach at scale, adapting messaging to prospective industry, role, and stage, • Implement data scraping and lead sourcing workflows to build targeted prospect lists from public data sources, • Create trigger-based prospecting systems (e.g., a marina raises funding or announces expansion → AI detects → personalized outreach generated → SDR notified), • AI across the revenue stack to give Dockmaster an outsized competitive advantage in speed and personalization, • Build and manage AI SDR assistants that handle initial prospect engagement, qualification, and handoff, • Develop AI-generated demo environments and personalized demo prep packets, • Create AI proposal and SOW generation tools that reduce deal cycle time, • Implement AI call summary and coaching workflows that feed insights back into the sales process, • Build the dashboards and models that give leadership real-time visibility into revenue performance, • Design pipeline analytics dashboards that track stage velocity, conversion rates, and bottlenecks, • Build and refine lead scoring models that prioritize the highest-value opportunities for sales, • Implement end-to-end conversion tracking across marketing and sales touchpoints, • Create experimentation analysis frameworks to measure the impact of GTM tests, • Run a high-velocity experimentation program that continuously improves GTM performance, • Target: 10–20 experiments per month, • Test different ICP segments to identify under-penetrated verticals within the marina and entertainment industry, • A/B test outreach messaging across channels, personas, and value propositions, • Run pricing and packaging experiments in collaboration with product and finance, • Optimize the demo → POC → close conversion funnel with structured tests and measurement You’ll be expected to work fluently across the following (or equivalent) tools: • Category Tools CRM and Sales Engagement HubSpot (primary), Salesforce familiarity a plus, • Enrichment and Prospecting ZoomInfo, • AI and LLMs OpenAI APIs, Claude, custom AI workflows, • Data and Analytics SQL, Looker / Metabase / HubSpot reporting, Google Sheets, • Outreach and Sequencing HubSpot Sequences, Outreach, or equivalent, • 3+ years of experience in revenue operations, sales engineering, growth engineering, or a technical GTM role, • Hands-on proficiency building automations in CRM platforms (HubSpot strongly preferred), • Working knowledge of APIs, webhooks, and integration platforms (Zapier, Make, or custom code), • Experience implementing AI/LLM-powered workflows in a business context, • Strong analytical skills with the ability to build dashboards and interpret pipeline data, • Bias toward action: you ship fast, measure results, and iterate, • Excellent cross-functional communication — able to translate between sales, marketing, and engineering, • Experience in B2B SaaS, ideally selling into niche or vertical markets, • Background in the marina, attractions, hospitality, or venue management space, • Proficiency in Python or JavaScript for building custom tools and scripts, • Familiarity with Clay, Apollo, or similar enrichment and prospecting platforms, • Track record of running structured growth experiments with measurable outcomes, • Fluent in English, both written and verbal, is essential We thank all applicants for their interest; however, only those candidates selected for an interview will be contacted. #Dockmaster

NetSuite applications and integrations that incorporate AI/ML models, third-party AI tools, and intelligent process automation. OpenAI, Azure Cognitive Services, Google Vertex AI, custom ML models). Solid understanding of inventory, supply chain operations, and omnichannel retail.

VendHub is a fast-growing software platform and marketplace designed for vending business operators. We offer tools and services that help our customers build, grow, and operate profitable vending operations—including access to exclusive wholesale pricing, direct integrations with suppliers, tax exemption workflows, EDI ordering pipelines, and route planning tools. We’re transitioning from agency-led development to an in-house engineering team—and we’re looking for a hands-on Technical Lead to anchor that shift. We’re hiring a Technical Lead who will initially act as a senior individual contributor and then grow into a leadership role. You’ll own the codebase and architecture across our core platform, define standards, and help us scale reliably and quickly. You’ll work closely with the founder, PMs, and designers to break features into milestones and deliver consistent, maintainable results. The ideal candidate is backend-leaning, system-minded, and fluent with AI development tools like Cursor, Claude, or OpenAI Codex—but also comfortable jumping into the front-end when needed. You’re someone who can ship fast, think clearly, and help shape the development culture from day one. * Own and evolve the core codebase and system architecture (Next.js + Supabase). * Write clean, modular TypeScript code and design scalable database schemas. * Lead backend architecture and integrations (e.g., EDI, Avalara, Stripe, Clerk). * Break down projects into deliverable milestones with realistic timelines. * Collaborate cross-functionally with design, product, and operations. * Define and improve our CI/CD, testing, and QA processes. * Grow into a leadership role—mentoring future hires and scaling the dev team. * 6–8+ years of professional software development experience, ideally in a startup or lean product team environment. * Proven experience owning and delivering complex applications in production—you’ve shipped, scaled, and maintained real software that users rely on. * You’ve led technical efforts, defined architectural plans, and made tradeoffs across speed, scalability, and maintainability. * Strong backend architecture skills, with full-stack capability to jump into front-end when needed. * Expertise with: * Next.js (App Router) * TypeScript + React * Supabase / PostgreSQL * Stripe (subscription flows, invoicing, webhooks) * Clerk or equivalent auth providers * Comfortable working independently in the early phase, but excited to grow and lead a team. * Experience collaborating with product and design to break projects into realistic milestones and align delivery with roadmap goals. * Deep familiarity with AI dev tooling (e.g., Cursor, Claude Code, Codex) to accelerate daily workflow. * Familiar with common third-party integrations, data models, and building around real-world operational systems (fulfillment, tax, auth, CRM, etc.) * You’re comfortable being the technical lead in a growing org—helping transition from external dev shops to an internal, high-trust team. * You’ll be the technical anchor of a real business solving real problems. * We’re design-led, shipping fast, and deeply committed to product excellence. * You’ll have input on every major technical decision and influence the product trajectory.

Location: Remote (U.S. based) or Hybrid in San Francisco, CA Seniority Level: Senior-Level Job Type: Full-Time Visa Sponsorship: Not available About the Opportunity An emerging AI infrastructure company backed by $15M in funding is looking for its first senior data professional to architect the systems driving their customer insights engine. The company has seen rapid growth and adoption among developers and is now scaling operations to support its expansion across product, marketing, and revenue. Key Responsibilities • Design and manage data infrastructure that consolidates customer behavior, usage metrics, and sales signals into a unified intelligence layer, • Create advanced SQL schemas and optimize PostgreSQL performance to support real-time insights, • Build and maintain end-to-end data pipelines and automation workflows using tools like n8n and modern API integrations, • Drive cross-functional analytics across product development, growth strategy, and marketing attribution, • Minimum of 3 years in data engineering in a startup environment, preferable developer-facing company., • AI Enthusiasm: Actively uses AI tools and automation platforms like N8N or Zapier for data workflows., • Advanced proficiency in PostgreSQL, including schema design and query optimization, • Experience building data automations and integrations using tools such as n8n or similar, • Strong analytical and statistical background; familiarity with ETL, data modeling, and predictive analytics, • Comfort using AI tools (e.g., OpenAI, Claude, Codex) to accelerate analysis and workflows, • Demonstrated curiosity for customer behavior and product impact Bonus Points If You Have: • Experience as the first or sole data hire in a fast-paced startup environment, • Proven ability to translate data into actionable product insights, • Built AI-enhanced dashboards or decision-making tools, • Autonomy: Own the design and impact of a mission-critical system from the ground up, • Impact: Play a key role in connecting product, growth, and revenue strategy, • Growth: Competitive equity package as an early member of a high-velocity team, • Innovation: Flexible environment where experimentation with new tools is encouraged, • Hybrid flexibility: Option to collaborate on-site in SF or fully remotely in the U.S

If residing within commutable distance to one of our offices, a hybrid schedule would be required (3 days in office, 2 days work from home). Those outside of commutable distance may be considered on a remote basis. SUMMARY: Avetta’s SaaS platform connects the world’s leading organizations with qualified suppliers, contractors, and vendors. We bring unmatched visibility to companies through cloud-based technology and human insights to improve supply chair risk and compliance. As a result, we foster sustainable growth for businesses and their supply chains globally. Our SaaS subscription software is used by 85k+ active customers in over 100 countries. We are seeking a highly skilled AI Engineer to join our AI team and help build the next generation of AI solutions. This role will report directly to the Director of AI Strategy & Innovation and will be instrumental in developing and deploying advanced AI-powered platforms and intelligent agentic systems that transform how organizations manage safety, compliance, and risk. You will work at the intersection of applied AI research and production engineering, building sophisticated multi-agent systems, RAG architectures, and intelligent assistants that solve complex enterprise challenges. This is a unique opportunity to shape how AI transforms supply chain safety and risk management on a global scale. The position requires strong technical leadership, exceptional communication skills, collaboration across departments, delivering impactful outcomes, and a commitment to innovation in AI technologies. ESSENTIAL DUTIES AND RESPONSIBILITIES: AI Platform Development & Architecture · Design and implement production-grade AI systems, including intelligent assistants and multi-agent orchestration platforms. · Build agentic workflows using frameworks such as CrewAI, AutoGen, Threads, LangChain, and LangGraph for orchestration. · Develop and maintain RAG (Retrieval-Augmented Generation) pipelines for enterprise knowledge bases. Integrate and extend enterprise AI tools through custom solutions. · Collaborate with senior stakeholders to design, develop, and deploy custom AI solutions to solve complex business problems. Production Engineering · Develop robust, maintainable, and well-tested code for enterprise AI applications. · Optimize API integrations with LLM providers (OpenAI, Anthropic) and enterprise platforms. · Ensure system security and compliance with enterprise standards. Developer Experience & Productivity · Utilize modern AI development tools such as Claude Code, Cursor, Windsurf, and GitHub Copilot. · Build internal automation tools to accelerate AI development workflows. · Stay current with emerging AI technologies and integrate them into Avetta’s platform. Leadership & Collaboration · Lead technical and strategic direction for AI initiatives. · Lead key projects, architecture reviews, and technical discussions around automation, augmentation, and acceleration of workflows and processes using AI techniques. · Communicate complicated technical concepts clearly to technical and non-technical stakeholders, including senior executives. · Drive collaboration and crucial conversations across business functions centering around business processes and workflows. · Drive innovation and introduce relevant cutting-edge technologies to maintain Avetta’s industry leadership. PREFERRED QUALIFICATIONS: · 5-8 years of professional software engineering experience, with 2+ years focused on operationalizing/productionizing AI/ML systems. · Deep expertise in Python; experience with Java, C/C++, or R is a strong plus. · Proven track record building and deploying production AI systems with LLMs (such as OpenAI, Anthropic Claude, Google Gemini, AWS Bedrock, etc.). · Good understanding of agents, RAG architectures, vector databases, and semantic search. · Strong fundamentals in software engineering, testing, CI/CD, and system design. · Excellent communication skills for engaging with senior leadership. · Strong experience with agentic frameworks (such as CrewAI, AutoGen, LangGraph). · Familiarity with enterprise SaaS environments and B2B product development. · Experience with agentic AI development tools (such as Claude Code, Cursor, Windsurf, GitHub Copilot, Devin). · Familiarity with observability platforms (LangFuse, LangSmith, Weights & Biases). · Experience with fine-tuning and LLM optimization. · Track record of mentoring engineers and driving technical strategy. IDEAL EDUCATION & TRAINING: · Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience). At Avetta, we are committed to salary transparency to ensure equitable hiring practices and promote trust. The salary range included in this job posting is based on internal and market data and the role's responsibilities. The final compensation offered to a candidate will be determined by several factors, including work location, job-related skills, experience, and relevant education or training. The salary range for this position is $123,000 - $174,000 USD per year, with a potential bonus. We also offer a comprehensive benefits package, which includes health, dental and vision insurance, 401(k), and PTO. Avetta is an equal opportunity employer and values diversity. We encourage individuals from all backgrounds and experiences to apply. To apply for the AI Engineer position, please submit your online application by April 30, 2026, at 11:59 PM PST. #LI-HYBRID #LI-REMOTE

The cloud-backed terminal for individuals and teams ___ is modernizing the command line to make it more intuitive, collaborative, and intelligent for developers and teams. We believe there’s an opportunity to build a generational company known for considered, high quality developer products – products developers love rather than tools they tolerate – to displace antiquated developer tools that have mediocre user experiences. The traditional terminal is a prime example of this type of tool having not meaningfully changed in the past 40 years, and is ripe for innovation. By fundamentally reimagining its experience – improving its UX, making it intelligent and collaborative – we can help developers ship better software more quickly. We are looking for outstanding product-focused software engineers who want to work on difficult technical problems with the goal of improving developers’ lives. You’ll be working in Rust and Go with an experienced, kind, and thoughtful team of gifted engineers. For more information on our team and culture, we highly recommend reading our ___. 🎥 Here’s a quick 3-min video of Zach Lloyd, our founder and CEO, giving an overview of the product and the company: ___ As a Software Engineer, you will… • Participate in all aspects of software development activities, including design, coding, code review, unit/integration testing, bug fixing, and code/API documentation., • Collaborate closely with the rest of engineering, as well as other stakeholders from our growth, marketing, and product teams, to plan features and build a high quality product that elevates the productivity of all developers., • Improve Warp's performance and reliability by building new features or polishing existing parts of the product., • Prototype ideas and concepts to get quick feedback from internal and external users, • Work across the entire technical stack to ensure users have the most efficient and delightful experience using Warp. The features you develop will span all aspects of the user experience, making you an expert on what their needs are., • Be a mentor and provide thoughtful feedback to your peers, and build strong personal connections with your teammates! You may be a good fit if... • You are passionate about helping developers get more done — would jump at the chance to work on this particular product, • You have amazing engineering chops, but are also product- and user-focused, • You have great communication and collaboration skills, • You’re sensitive to developers’ needs, and can develop warm relationships with developers, • Bonus:, • Building native apps in Rust or WASM, • Shell or Linux-programming, • Server-side programming in go, • OpenGL, WebG, or other graphics programming At Warp, we are dedicated to building a diverse, inclusive, and authentic workplace. So if you’re excited about this role, but your past experience doesn’t align perfectly with every qualification in this job description – we encourage you to apply anyways! We are a community of curious learners, and most of us are learning some skills for the first time (like our engineers learning to program Warp in Rust). You might be just the right candidate for this or other roles. Salary Transparency Total compensation at Warp consists of two parts: 1) a competitive base salary, and most importantly, 2) meaningful equity. When we find the right person, we try to put our best foot forward with an offer that excites you. We consider what you’d like to be paid, the skills and level of experience you bring, what similar jobs pay, and make sure there’s equal pay for equal work among those you’ll be working with. The budgeted compensation amount for this role is targeted at $145,000 - $260,000. In addition to salary, all employees receive further compensation in the form of equity in the company. This is a meaningful stock option grant with a four-year vesting period and one-year cliff. Your equity is where most of the significant upside potential is. Comparing startup equity is always a bit tricky, so we’re happy to walk you through different valuation scenarios at the offer stage in order to help paint a clearer picture of the upside. Final total compensation is determined by multiple factors including your experience and expertise and may vary from the amounts listed above. What We Offer • Competitive Salary & Meaningful Equity – we will stretch to get the right talent on board, • Full Medical, Dental and Vision Benefits, • Flexible remote-first culture, with optional WeWork in SF and an office space in NYC for folks who want to work together IRL, • 20-days of Paid Time Off, • 12 US Holidays, • 16 weeks of paid Parental Leave for both birthing and non-birthing parents, • Twice-a-year company retreats, • Monthly gym stipend, • 401(k), • Pre-Tax FSA Health Savings Plan, • Complimentary OneMedical membership Individuals seeking employment at Warp are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. About Warp We are a company run by product-first builders, building a core product for all developers. We are committed to understanding our users deeply. We believe we will ultimately build the best product and business if that team includes developers and designers from a wide range of backgrounds. The early team comes from Google, Dropbox, Gem, LinkedIn, and Facebook. We are looking for passionate individuals to join us and help bring Warp to the world. We value honesty, humility, and pragmatism, and our core product principle is focusing on the user. If you’re interested in learning more about our company values and what our engineering team culture is like, please take a look at our internal ___ guide. We’re very fortunate to be backed by a great group of venture capital firms. In August 2023, we announced a $50M Series B funding round ($73M total raised), led by Sequoia Capital. Our other investors include Google Ventures, Neo, and Box Group. We are also backed by a network of passionate angels, including Dylan Field (Co-Founder and CEO, ___), Elad Gil (early investor in Airbnb, Pinterest, Stripe, and Square), Jeff Weiner (Executive Chairman and Ex-CEO, LinkedIn), Marc Benioff (Founder and CEO, Salesforce), and Sam Altman (Co-Founder & CEO, OpenAI). The Product Here's our ___ showing some of our current features… This is just the start, as our plan is to build out a set of experiences in the terminal that don’t exist today like collaboration, environment sharing, rich data types and more. The Opportunity The terminal is one of very few tools used by every developer every day, which makes it an ideal gateway to improving all sorts of developer activities. We believe there is an opportunity to build a unicorn-sized business improving the command-line. Our strategy is bottom-up developer adoption, followed by driving revenue through enterprise sales and distribution partnerships. To start, our goal is to become the everyday terminal of choice with individual users – immediately usable as a backwards-compatible terminal replacement with the developer’s shell of choice. We have built a closed-source server, which will implement all of the cloud-enabled features. These features will invite users to share their work with others, driving growth and encouraging collaboration. We’ll also focus on building a community and an ecosystem of terminal plugins and apps, creating network effects. At higher levels of team penetration, we will offer an enterprise plan with features around privacy, security and environment management (e.g. secure distribution and management of API keys). These larger enterprise plans will be the ultimate driver of revenue, along with potential distribution deals for companies that see CLI integrations as a way to reach new customers. A couple college students, totally unprompted, wrote a piece on why new students should work at Warp as part of their new newsletter they are launching called "Why You Should Join." It's an incredibly well researched and thoughtful article about the market and competitive landscape, and accurately reflects our thesis. Read it ___.

LiveKit is building the infrastructure layer for the voice-driven era of computing. Our platform gives developers everything they need to build, test, deploy, scale, and observe agents in production. Founded in 2021, LiveKit powers voice AI applications for OpenAI, xAI, Salesforce, Coursera, Spotify, and thousands of others, collectively facilitating billions of calls each year. * are obsessed with helping developers succeed * are known as the go-to person for solving tricky technical issues * work hard and can move fast without sacrificing quality * care deeply about polish, detail, and clear communication * are a fast learner, frequently picking up new tools, systems, and skills The best way to impress us is by showing how you help others unblock themselves—and maybe by tinkering with LiveKit along the way 😊 LiveKit is seeking a Forward Deployed Engineer (FDE) to work directly with customers building real-time communication and voice AI applications on the LiveKit platform. This role sits at the intersection of engineering, architecture, and customer implementation. Forward Deployed Engineers partner closely with customers to design systems, prototype solutions, and solve complex technical challenges as teams move from experimentation to production. You’ll work alongside customers’ engineering teams to help them successfully deploy and scale applications built on LiveKit. That may include designing architectures, building integrations, debugging production issues, or developing reference implementations that demonstrate best practices. This is an ideal role for engineers who enjoy solving real-world problems in real customer environments. You’ll collaborate closely with Product and Engineering to surface insights from customer implementations and help shape the future of the LiveKit platform. Your mission: make it seamless for developers to build and scale real-time audio, video, and AI applications on LiveKit. * Work directly with customer engineering teams to design and implement real-time applications built on LiveKit. * Design scalable architectures for voice AI, real-time media, and developer platform use cases. * Build prototype integrations, reference implementations, and sample applications to accelerate customer development. * Help customers navigate SDKs, APIs, infrastructure, and deployment strategies for production systems. * Debug and troubleshoot complex technical issues in production environments. * Lead technical workshops and architecture sessions with developers and product teams. * Translate customer needs into technical insights that inform product and platform development. * Partner with Product and Engineering to improve developer experience, documentation, and tooling. * Contribute code, examples, or improvements to LiveKit’s open-source ecosystem when helpful. * Act as a trusted advisor helping customers successfully launch and scale applications on LiveKit. * Strong engineering background with 5+ years of experience in backend or infrastructure engineering. * Proficient in one or more programming languages such as Go, Python, Node, Rust, or C++. * Comfortable working across APIs, SDKs, distributed systems, and cloud infrastructure. * Experience building or integrating developer platforms or real-time systems. * Able to quickly understand complex systems and debug issues in real-world environments. * Strong communicator who can collaborate directly with customer engineering teams and internal product teams. * Comfortable operating in fast-paced, low-process environments where ownership and initiative matter. * Excited to work hands-on with customers solving complex technical implementation challenges. * Experience with WebRTC, real-time media systems, or telephony/SIP infrastructure. * Familiarity with voice AI, conversational agents, or AI infrastructure. * Experience working in customer-facing engineering roles such as Solutions Engineer, Field Engineer, or Forward Deployed Engineer. * Experience contributing to open-source projects or developer ecosystems. * Previous experience building with or integrating LiveKit. * The opportunity to build technology powering the next generation of real-time and voice AI applications * Work alongside world-class engineers and open-source contributors * Competitive salary and equity package * Health, dental, and vision benefits * Flexible vacation policy

About GoodLeap:GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap’s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $30 billion in financing for sustainable solutions since 2018. GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America. We are seeking a highly skilled Senior Full-Stack Software Engineer to bring technical excellence, initiative and leadership to our team. As a Senior Engineer, you’ll be a key contributor to the design, development, and scaling of our platform, working closely with product managers, designers, and fellow engineers to build solutions that are secure, reliable, and performance-optimized. You’ll work across the stack, you’ll lead initiatives from concept to delivery. This is a full-stack position with a strong emphasis on frontend development and close collaboration with the Product team. You’ll take the lead on major initiatives—planning features, defining MVPs, breaking projects into actionable phases, and helping to remove blockers for the team. This is an exciting opportunity for someone who thrives in a fast-paced environment and is motivated to take ownership of high-impact work within a growing company. * Lead the design and development of scalable, secure applications across the stack—spanning modern React UIs to high-performance backend services. * Design and build architecture that supports AI/ML-powered features across user-facing and API surfaces. * Drive initiatives end-to-end—from ideation and planning to execution—by breaking down complex projects into MVPs and manageable, prioritized releases. * Collaborate with product and engineering leaders to align solutions with business objectives. * Ensure compliance with security best practices and data privacy regulations. * Mentor mid-level and junior engineers, fostering a culture of growth, learning, and technical excellence. * Evaluate and implement new technologies and tools to continuously improve our applications and development processes. * Communicate clearly, engage with stakeholders, product managers and cross-functional teams to align on goals, share progress and manage expectations. * 5+ years of full-stack software development experience using Node.js, React, TypeScript, and REST APIs, with experience in state management (Redux, XState, Nanostores a plus), preferably with at least 1+ year working with AI/ML solutions or LLM. * Familiar with implementing and maintaining CI/CD pipelines to streamline development, testing, and deployment processes. * Familiarity with MLOps, CI/CD for AI pipelines, and AI observability tools. * Deep understanding of architecture and best practices, including RESTful APIs, databases, secure coding, and responsive design. * Experienced with AWS architecture, including Lambda, ECS, S3, DynamoDB and Step Functions. * Familiarity with designing and developing application layers that interface with large language models (LLMs) or machine learning (ML) systems. * Experience building and integrating LLM features (e.g., via OpenAI, Claude, Vertex AI, or similar), including prompt design, vector storage, and retrieval strategies. * Build tools and services to help other team members experiment and ship AI-enhanced features responsibly and efficiently. * Excellent communication skills with the ability to influence technical direction and collaborate effectively across product and engineering teams.

Job Description Who you are: You are a highly motivated self-starter looking to propel your career to the next level in a thriving and collegial professional environment. Who we are: Tarter Krinsky & Drogin LLP (TKD) is an entrepreneurial, growing, and highly supportive firm located in the heart of New York City. Our position as a mid-size firm promotes a work environment that fosters relationship building inside and outside of the office. We care about each other, our clients, the work we do, and the communities in which we live. It’s the kind of environment where every employee can develop into their best professional selves, where everyone’s contributions matter, and where each employee makes a real difference right from the start. TKD is a place to challenge, share ideas, and contribute your ideas and skills as part of an exceptional team. Each day holds an opportunity to make a real impact. The firm is currently building a dedicated AI function — one of the most substantive investments in legal technology infrastructure a firm of our size has undertaken — and this role is the cornerstone of that effort. What the role entails: The Legal Engineer is the bridge between TKD's attorneys and its AI infrastructure. This is not a technology role that happens to sit near lawyers — it is a legal operations role that requires deep fluency in both legal practice and AI tooling. The person in this role will own the attorney-facing layer of the firm's AI program: designing workflows, managing pilots, running training and adoption, and ensuring that AI capabilities translate into genuine value inside legal practice. This role works in close collaboration with the Head of AI, training co-lead, and the incoming AI Engineer. It is a high-visibility, high-impact position with significant room to shape how the firm builds and evolves its AI function over time. Essential responsibilities include: AI Workflow Design & Implementation • Design and build AI-enabled legal workflows across practice areas, including litigation, transactional, business immigration, and corporate, • Translate attorney needs into structured, repeatable workflow architectures that leverage AI platforms effectively, • Document and maintain workflow templates, playbooks, and standard operating procedures, • Serve as the primary day-to-day manager of vendor pilots, • Coordinate between pilot participants, vendor support teams, and firm leadership, • Collect structured feedback, develop evaluation scorecards, and synthesize results for the Fractional Head of AI and executive committee, • Co-lead firm-wide AI training and adoption program., • Develop and deliver training sessions tailored to different practice areas and staff functions, • Host recurring office hours for attorneys seeking one-on-one platform support, • Identify and cultivate super users and practice group AI leads across the firm, • Develop deep proficiency in each AI platform deployed by the firm — going beyond standard user training to the level of real-time troubleshooting and workflow coaching, • Stay current on platform updates, new features, and competitive alternatives, • Maintain working relationships with vendor contacts and serve as a liaison between the firm and vendor support teams, • Establish error handling protocols and quality review processes for AI-generated outputs in legal workflows, • Maintain a structured feedback loop between attorneys, the AI function, and firm leadership, • J.D. required., • Minimum of two years of law practice experience at a law firm, in-house legal department, or public sector office. Active bar admission not required, but candidates must have practiced law., • Demonstrated experience designing and deploying legal workflows on one or more AI-native legal platforms (e.g., Harvey, Jylo, CaseBlink, Litera One, ContractMatrix, Legora, or comparable tools). End-user familiarity is not sufficient — candidates should be able to describe specific workflows they architected, the legal process problems those workflows addressed, and how they were adopted by attorneys in practice., • Hands-on software development experience beyond low-code and no-code tooling. Candidates must be able to point to applications they have built or meaningfully contributed to in a professional or project context. Proficiency with development tools and AI frameworks is expected — including one or more of the following: LangChain, LangFlow, GitHub, Cursor, Claude Code, or OpenAI Codex. This is not a requirement for a senior software engineer; it is a requirement that the candidate has written real code, understands how software gets built, and can work credibly alongside an AI engineer on custom application development., • Strong understanding of legal workflows across at least one practice area (transactional, litigation, immigration, or similar), with the ability to translate those workflows into structured, AI-ready process designs., • Excellent communication skills — able to explain technical concepts to non-technical attorneys and translate attorney feedback into actionable technical direction., • Highly organized, self-directed, and capable of managing multiple workstreams simultaneously., • Demonstrated ability to design and deliver training or change management programs., • Familiarity with Microsoft Azure AI Foundry, Copilot, or similar enterprise AI infrastructure preferred., • Experience with AI prompt engineering and structured workflow documentation preferred., • Prior experience building or managing an AI, legal tech, or legal operations function preferred. What success looks like: In the first 90 days, a successful Legal Engineer will have: onboarded and begun actively managing the firm's vendor pilots; delivered at least two attorney training sessions with documented outcomes; developed workflow documentation for at least one practice area; and established a regular cadence of feedback collection from pilot participants. By six months, they will have become the firm's go-to resource for AI workflow questions — the person attorneys come to when they don't know how to get AI to do what they need. What you’ll love about us: We care about your professional and personal growth. Training and developing our team members are at the heart of everything we do. We are committed to cultivating development opportunities for you and helping you achieve your targeted career goals. The firm values your unique characteristics. We foster an inclusive and diverse environment where multiple perspectives are appreciated as we understand that our employees play an intricate role in the expansion and success of our firm. Compensation & benefits: The good faith base annual salary range for this position is a minimum of $140,000 to a maximum of $200,000. The actual salary rate offered to candidates within that range will depend on a variety of factors, including without limitation, years of relevant experience, applicable bar admissions, office location, and the candidate's overall qualifications for the position as assessed by the Firm. Market and Firm factors are also considered. Our generous benefits package includes medical, dental, vision insurance; 401K, disability, life insurance, and Paid Time Off (PTO). More about the Firm: TKD is a pre-eminent full-service firm focused on serving middle-market and larger business clients. We provide high-quality personalized service based on our client’s goals. The strength of the firm lies not only in its experienced attorneys and congenial atmosphere but also in our holistic approach to law – serving businesses and individuals through commercial litigation, general corporate, real estate, construction-related matters, trust and estates, employment & labor law, as well as more specialized areas, including securities, not-for-profit and education, taxation, business-related immigration matters, international law, intellectual property, and bankruptcy, among others. Our lawyers have also garnered several prestigious recognitions for their contributions to the profession and their clients. We have been selected by Crain’s NY Business as a Best Places to Work in New York City and listed on the National Law Journal’s Hot List of the top 20 mid-sized firms in the nation. Many of our lawyers are ranked in Chambers USA and included among Best Lawyers and Super Lawyers. TKD is an Equal Opportunity Employer. We embrace equal employment opportunity and inclusiveness. We prohibit discrimination based on, among other characteristics, race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, immigration or citizenship status, age, disability, genetic information (including family medical history), political affiliation, status as a veteran or active military service member, and pregnancy and lactation accommodations, in our employment practices including, but not limited to, recruiting, hiring, and promoting. TKD will not accept unsolicited resumes from search firms for this employment opportunity. All resumes submitted by search firms to any employee at TKD via mail, email, fax, the Internet, or in any other form and/or method without a valid written search agreement in place will be deemed the sole property of TKD. TKD will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

Job Description Groupon is a marketplace where customers discover new experiences and services everyday and local businesses thrive. To date we have worked with over a million merchant partners worldwide, connecting over 16 million customers with deals across various categories. In a world often dominated by e-commerce giants, we stand out as one of the few platforms uniquely committed to helping local businesses succeed on a performance basis. Groupon is on a radical journey to transform our business with relentless pursuit of results. Even with thousands of employees spread across multiple continents, we still maintain a culture that inspires innovation, rewards risk-taking and celebrates success. The impact here can be immediate due to our scale and the speed of our transformation. We're a "best of both worlds" kind of company. We're big enough to have the resources and scale, but small enough that a single person has a surprising amount of autonomy and can make a meaningful impact. About the Role: Groupon is rebuilding how it sells — from the ground up, with AI. The vehicle is Project Foundry: a production fleet of AI agents designed to give Groupon a parallel sales force and make every human rep sharper the moment they step into a deal. The fuel Foundry runs on is intelligence: which leads are worth pursuing, in what order, and why. That intelligence layer is what this role exists to build and own. Reporting directly to the CSO, the AI-Powered Growth Intelligence Associate owns Groupon's lead scoring architecture, routing logic, and pipeline forecasting. You work with one of the most data-rich commercial environments in e-commerce — proprietary consumer transaction signals, merchant health data, and years of conversion history. You don't configure Salesforce. You extract signal from it, build models on top of it, and use AI to turn raw data into the queue every rep opens each morning. There is no separate analytics team to hand off to. You build it, you own it. The intelligence layer you build is what Foundry's autonomous agents run on. When an AI agent sequences an outbound lead, reactivates a dormant merchant, or routes an inbound inquiry — it is working from your scoring model. When a rep opens their queue, the ranked order reflects your logic. You sit at the foundation of the AI sales architecture, not at its edge. North Star Turn Groupon's raw lead data into a predictive intelligence system — so every rep opens their queue and finds the right account, in the right order, with the right context, every single day. What You'll Do: • Own the lead scoring model — Design, build, and continuously refine the AI-powered scoring model that determines which leads get prioritised. Use firmographic data, behavioural signals, merchant health indicators, and conversion history to predict outcomes — not just activity., • Define and improve lead routing — Translate scoring intelligence into assignment rules that get the right lead to the right rep at the right time. Work with the Sales Operations team on implementation; you define the logic and own the outcome., • Build pipeline intelligence — Give the CSO and Sales leadership a live view of where pipeline is healthy, where it is at risk, and what is likely to convert this quarter., • Run experiments on live data — Test whether a new signal improves conversion. Measure the delta. Iterate. Every change has a before/after record. You do not ship and move on., • A degree from an Ivy League or equivalent top-tier university strongly preferred — data science, computer science, economics, statistics, or a quantitative field that trained you to think in systems. Up to 2 years of professional experience., • Hands-on fluency with Python and data tools — you have built models and connected data sources. You need to build a working pipeline without asking someone else to write the code., • Active use of AI tools — you have used LLM APIs (OpenAI, Anthropic, or equivalent) to build something real, and you know the difference between a demo and a deployed workflow., • Analytical rigor without a safety net — you build your own measurement frameworks. You do not accept a metric you cannot define or a result you cannot explain., • Builder first. Your instinct is to build before you ask, and to measure before you conclude., • AI-native, not AI-curious. You use AI the way a previous generation used spreadsheets: constantly, purposefully, and with measurable output., • Comfortable owning something fragile. You stabilize it, document it, then improve it., • Rigorous with ambiguity. When there is no clean data, you make a reasoned call, document your assumptions, and build a way to test whether you were right. How We Operate: At Groupon, we build on five principles: Extreme Ownership, Speed Over Comfort, Impact Obsessed, Simplify to Scale, and Disciplined. These aren't values on a wall — they're how we expect everyone to show up. In this role, these principles mean: • Extreme Ownership — If a rep is working the wrong leads, that traces back to your model. You own the diagnosis and the fix., • Speed Over Comfort — You ship a scoring model with 80% of the signals before waiting for perfect coverage. Every week without better lead intelligence has a real cost to pipeline., • Impact Obsessed — Lead-to-opportunity conversion is your north star metric. Everything else is a proxy., • Simplify to Scale — A routing algorithm no one understands won't be trusted. You build for clarity., • Lead-to-opportunity conversion rate — sustained improvement against baseline, tracked monthly., • Routing accuracy — percentage of leads assigned to the right rep on first touch., • Pipeline forecast accuracy — variance between model output and actual conversion, at CSO level., • Model iteration cadence — how quickly the scoring model is updated when signals degrade., • First working model in production by day 90, with a documented hypothesis and performance data. Compensation & Benefits: • Base salary: 90k-120k base + 10% ABP Bonus, • Location: Downtown Chicago (hybrid, 3 days a week in-office), • Alternate locations: Can be remote for the right fit, NYC strongly encouraged, • Benefits start the 1st of the month after your start date — Medical, Dental, Vision, Life Insurance, Disability, FSAs, EAP, 401(k) match, ESPP, flexible PTO, and more, • Employee Resource Groups & inclusive team culture Groupon is an AI-First Company We're committed to building smarter, faster, and more innovative ways of working—and AI plays a key role in how we get there. We encourage candidates to leverage AI tools during the hiring process where it adds value, and we're always keen to hear how technology improves the way you work. If you're passionate about AI or curious to explore how it can elevate your role—you'll be right at home here. Groupon's purpose is to build strong communities through thriving small businesses. To learn more about the world's largest local e-commerce marketplace, click here. You can also find out more about us in the latest Groupon news as well as learning about our DEI approach. If all of this sounds like something that's a great fit for you, then click apply and join us on a mission to become the ultimate destination for local experiences and services. Beware of Recruitment Fraud: Groupon follows a merit-based recruitment process without charging job seekers any fees. We've noticed an increase in recruitment fraud, including fake job postings and fraudulent interviews and job offers aimed at stealing personal information or money. Be cautious of individuals falsely representing Groupon's Talent Acquisition team with fake job offers. If you encounter any suspicious job offers or interview calls demanding money, recognize these as scams. Groupon is not responsible for losses from such dealings. For legitimate job openings (and a sneak peek into life at Groupon), always check our official career website at Groupon Careers

Job Description Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com. An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: • Fortune Change the World (2024), • CNBC Disruptor 50 List (2022, 2023, 2024), • Fortune Best Workplaces for Millennials (2024), • Fortune Best Workplaces in Health Care (2024), • TIME 100 Most Influential Companies (2023), • Fast Company Most Innovative Companies (2020, 2023), • Built In Best Places to Work (2023), • Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024), • Great Place to Work certified (2020, 2021, 2022, 2023, 2024), • Fast Company Best Workplaces for Innovators (2022), • Design, build, and deploy end-to-end AI-powered solutions using AI models (e.g., OpenAI, Gemini) and modern orchestration techniques such as RAG, multi-call prompting, and agent frameworks to power intelligent product experiences., • Work with product, data, and engineering teams to turn rich healthcare data into actionable insights and intelligent workflows that improve the care journey for both members and providers., • Develop robust ML pipelines and platform components that enable model experimentation, fine-tuning, training from scratch when needed, and deployment in production environments — with a strong focus on scalability, safety, and performance., • Collaborate cross-functionally to prototype and productionize AI-driven features such as personalization, care routing, decision support, and summarization., • Drive architecture discussions and technical decision-making across AI/ML systems, promoting best practices in coding, design, and evaluation of AI models., • Mentor engineers and data scientists across the organization, fostering a strong culture of curiosity, experimentation, and AI fluency., • A strong track record in either:, • Building AI-powered applications using foundation models and orchestration techniques (e.g., RAG, agents, LangChain, vector search), or, • Deep experience as a data scientist working across the data science lifecycle — from understanding messy, complex datasets to training or fine-tuning models that deliver measurable business impact., • Experience integrating and deploying foundation models via platforms like OpenAI, Google Vertex AI, or similar., • A clear understanding of how to work with health-related datasets, including user behavior, care journeys, health profiles, and provider interactions., • Fluency in Python and experience with backend or platform engineering in one or more additional languages (Go, Java, etc.)., • Familiarity with cloud-native systems (e.g., containerization, orchestration, distributed systems) and how to operationalize AI solutions within them., • Experience with data preprocessing, feature engineering, model evaluation, and end-to-end ML deployment workflows., • A collaborative mindset, strong communication skills, and a passion for using AI to improve healthcare outcomes., • Bachelor's or Master's degree in Computer Science or related field, or equivalent experience. Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week (Tuesday, Wednesday, Thursday). For those based in San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C., we encourage in-person collaboration by requiring team members to attend quarterly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits: • Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics., • Whole-self care through wellness partnerships, • Hybrid work, in office meals, and work together days, • 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+), • Annual professional development stipend and access to a personal career coach through Maven for Mavens Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from an @mavenclinic.com email address (e.g ). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: . For general and additional inquiries, please contact us at .

Job DescriptionDuties/ResponsibilitiesDesign and implement generative, agentic, predictive, and autonomous AI and machine learning solutions using Azure Foundry AI, including model selection, prompt engineering, RAG patterns, and responsible AI governance.Develop end-to-end data and AI pipelines in Microsoft Fabric and Copilot Studio, leveraging Data Factory, Synapse Data Engineering, OneLake, Real-Time Analytics, and AWS Redshift.Build and extend Microsoft 365 Copilot and custom Copilot agents using Copilot Studio, Graph connectors, and plugins to automate business processes.Integrate Azure OpenAI, Azure AI Search, and Azure AI Document Intelligence into line-of-business applications and intranet experiences.Architect semantic models, lake houses, and data warehouses in Microsoft Fabric to support AI workloads and analytics.Develop secure APIs and orchestration layers using Azure Functions, Logic Apps, and API Management to expose AI capabilities.Implement MLOps/LLMOps practices for model deployment, monitoring, evaluation, and versioning using Azure Machine Learning and Azure DevOps.Collaborate with business stakeholders to identify high-value AI use cases, define success metrics, and deliver POCs and production solutions.Ensure compliance with data privacy, security, and responsible AI standards, including content filtering, grounding, and auditability.Provide technical documentation, architecture diagrams, and knowledge transfer to LIPA staff.Assume project management duties, including planning, scheduling, monitoring, and presenting project status to stakeholders throughout the project lifecycle.Troubleshoot and optimize performance, latency, and cost of AI solutions in Azure.Qualifications • 8+ years of experience in software engineering, data engineering, or AI/ML solution development in enterprise environments., • 5+ years of hands-on experience with Microsoft Azure AI services, including Azure OpenAI Service, Azure AI Search, Azure Machine Learning, Azure AI Foundry, and Copilot Studio., • 3+ years of experience with Microsoft Fabric, including OneLake, Data Engineering, Data Science, and Real-Time Intelligence workloads., • 3+ years of experience building Microsoft 365 Copilot extensions, Copilot Studio agents, Graph connectors, and Teams message extensions., • Strong proficiency in Python, C#, or TypeScript for AI application development and API integration., • Experience implementing RAG architectures, vector databases, embeddings, and prompt flow orchestration., • Proven knowledge of MLOps/LLMOps, CI/CD for ML, model monitoring, and Azure DevOps or GitHub Actions., • Familiarity with Microsoft Purview for data governance, Microsoft Entra ID for identity, and Azure security best practices., • Experience with Power Platform integration, including Power Automate and Power Apps, to operationalize AI outputs., • Bachelor’s degree in computer science, Data Science, Engineering, or related field, or equivalent work experience., • Relevant Microsoft certifications preferred: AI-102, DP-600, PL-300, or AI-900.

Job DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it. Who you are Metropolis is seeking a Senior AI Engineer to join our Applied AI organization, a team purpose-built to rebuild how the company operates from an AI-first perspective. You will be the builder at the heart of this transformation, designing and shipping AI-powered tools and automation pipelines that replace manual, repetitive work across finance, operations, revenue, and beyond. This is a hands-on engineering role with enormous scope: you will own systems end-to-end, from the LLM prompt layer through to production deployment, working side-by-side with Process Analysts who understand the business deeply. If you want to see your work directly change how a company functions — not someday, but now — this is the role. What you'll do • Design, build, and ship AI-powered automation tools and internal applications that transform manual business processes into AI-first workflows, • Architect and maintain LLM-based systems, including prompt pipelines, agentic workflows, tool-calling integrations, and retrieval-augmented generation (RAG) setups, • Build and maintain data pipelines that connect source systems (Snowflake, internal APIs, SaaS tools) to AI workflows, ensuring data quality and reliability, • Partner with Process Analysts to understand how business functions work today, translate requirements into engineering specifications, and iterate based on real user feedback, • Own production reliability for the systems you build — monitoring, alerting, and iterating on AI outputs to maintain quality over time, • Evaluate and integrate emerging AI tooling (models, frameworks, APIs) to ensure Metropolis is always leveraging the best available capabilities, • Contribute to internal standards for AI development: prompt management, evaluation frameworks, model selection, and system architectureWhat we're looking for, • 6+ years of software engineering experience, with 2+ years of hands-on experience designing, building, and deploying LLM-based or AI-powered applications in production, • Strong Python skills — you write clean, maintainable code and are comfortable building APIs, data pipelines, and backend services, • Practical experience with LLM APIs (OpenAI, Anthropic, or similar), prompt engineering, and agentic patterns (function calling, multi-step reasoning, tool use), • Familiarity with data engineering fundamentals: SQL, data transformation, working with cloud data warehouses (Snowflake preferred), • Experience with workflow orchestration tools (e.g., Airflow, Prefect, or similar) and cloud infrastructure (AWS preferred), • A strong instinct for product quality — you care about whether the tools you build are actually useful, not just technically functional, • Ability to work autonomously in a fast-moving environment, manage competing priorities, and ship iteratively rather than waiting for perfectionWhile not required, these are a plus:, • Experience with vector databases, embeddings, or semantic search is a plusOur Stack, • Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited), • Datastores: MySQL, PostgreSQL, Snowflake, • Cloud: AWS, • Version control: Git & GitHub, • AI Tooling: Copilot on GitHub and Claude Code When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $170,000.00 USD to $200,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-CM1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job Description Role & Responsibilities Overview: Architecture & Technical Leadership • Define end-to-end architecture for agentic AI-enabled platform across data, AI, orchestration, and integration layers, • Design and govern agentic orchestration framework for multi-step workflows, • Define integration architecture across - Lakehouse, ODS, document systems; Underwriting systems and third-party APIs, • Design configurable, metadata-driven framework for multi-LOB onboarding, • Define where and how to use - GenAI vs deterministic logic, agentic workflows vs pipeline workflows, • Establish multimodal integration approach combining structured, unstructured, and external data, • Define AI safety and guardrails (PII, hallucination control, policy constraints), • Establish ModelOps and PromptOps frameworks, • Lead technical execution across AI, data, and platform teams, • Guide engineers (AI, data, full-stack) and ensure alignment with architecture, • Experience: 10–15+ years in software/data/AI engineering with 4–6+ years in AI/ML/GenAI architecture, • Background: Strong experience in designing enterprise-scale platforms and distributed systems, • Domain (good to have): Insurance / reinsurance / financial services, • Education: Bachelor's or Master's in Computer Science, Engineering, Data Science, or related field, • GenAI & Agentic Frameworks - Semantic Kernel/ LangGraph (or similar orchestration frameworks); LLM integration (Azure OpenAI, OpenAI APIs, etc.); Prompt engineering, prompt lifecycle design, • Retrieval & RAG - Azure AI Search (indexing, vector search, hybrid search); Embedding pipelines and retrieval optimization; RAG design, grounding strategies, context management, • Tool Access & Integration - MCP (Model Context Protocol) architecture and tool design; API design (FastAPI / REST / microservices); Integration with enterprise systems and third-party APIs, • AI Safety & Governance - NVIDIA NeMo Guardrails;Microsoft Presidio (PII detection/masking); Guardrails for prompt injection, hallucination control, • Evaluation & ModelOps - Azure AI Foundry (model hosting, versioning, monitoring); Evaluation frameworks (LLM-as-judge, test datasets); Prompt/version control, cost/latency monitoring, • DevOps & Observability - CI/CD pipelines (Azure DevOps / GitHub Actions); Logging, monitoring, observability (App Insights, etc.); Performance tuning and scalability

Job DescriptionAbout InfoTrack InfoTrack is a platform that seamlessly connects law firms to the courts and to the services that they need to litigate successfully. We're global leaders in legal technology with unparalleled expertise in forging integrations that can drastically improve the efficiency of law firms and the legal system. As a highly ambitious company, we know that our people are critical to our success. That's why we're passionate about fostering a high-performance culture built on professional development, open communication, and transparent leadership. If you're smart, dedicated, and eager to help build a market-leading solution that makes a difference in the lives of our clients, join us. About the role At InfoTrack, .NET Developers play a key role in transforming how legal professionals work. You’ll design and scale backend systems, integrate cutting-edge technologies like LLMs and OCR, and partner closely with product and engineering teams to deliver software that streamlines critical legal processes. Responsibilities • Build and maintain backend services for AI-powered document extraction, e-filing, and workflow automation, • Integrate with LLM APIs, OCR tools, and court systems for seamless data flow, • Write and review scalable C# code in a microservices architecture, • Collaborate with PMs, partner companies, and engineers to scope and ship features, • Improve observability for AI features (logging, metrics, cost tracking), • Stay current on AI/document processing tools and share insights, • Contribute to shared infrastructure and cross-functional development efforts, • Ensure quality through testing, code reviews, and process improvements, • Recommend product enhancements based on technical insights and user behavior, • 4+ years experience with C# and the .NET ecosystem, • Experience with Entity Framework, MS SQL, and third-party API integrations, • Familiar with microservice architecture, Git, CI/CD, and automated testing, • Strong debugging, problem-solving, and collaboration skills, • Comfortable working in Agile teams and independently scoping work, • Entrepreneurial mindset with awareness of business tradeoffs, • Strong written and verbal communication skills for cross-team and external collaboration, • Exposure to LLM APIs, including monitoring and cost observability, • Experience with OCR tools (e.g., Azure Document Intelligence, Google Document AI, Tesseract), • Skilled in prompt design (zero-shot, few-shot, chain-of-thought) for reliable outputs, • Experience reducing AI hallucinations via prompting, model selection, and post-processing, • Hands-on experience integrating OpenAI, Azure OpenAI, or Anthropic APIs at scale, • Familiarity with MongoDB, React, or other modern frontend/NoSQL technologies, • Understanding of observability, cloud infrastructure, and containerization (Azure, AWS, Docker, Kubernetes), • Awareness of vector databases and semantic search, • Familiarity with unit, integration, performance, and smoke testing The anticipated starting base pay range for this role is listed below. Base salary is not the only component of our competitive total rewards package - you may also be eligible for bonus, commissions and other benefits as described below. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications. $110,000 - $175,000 base pay Benefits What Sets InfoTrack apart At InfoTrack, we’re committed to a workplace where everyone feels comfortable doing their best work and having fun! We also believe in a work/life balance that fulfills you while you’re here and supports you when you’re not. We built our benefits package to prove that we’re committed to you having everything you need. Our benefits guide, located here, illustrates what we offer full-time employees and a sneak preview is below • 401(k) Match, • Medical, Dental, & Vision Insurance, • Employer-funded Short/Long-Term Disability, Life, and Accidental Death & Dismemberment (AD&D) Insurance, • 20 Days of Paid Time Off (PTO), • 11 Paid Holidays, • “Be Me Time” off for mental health, re-charging, volunteering We believe that the key to our success is you. Your unique background, life experience, knowledge, self-expression, and talent make you uniquely you. Who you are, what you have experienced, and how you think inspires us to be innovative and bold. InfoTrack is an equal opportunity employer. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. We welcome the unique contributions that you can bring in terms of your education, opinions, culture, ethnicity, race, ancestry, sex, gender identity and expression, national origin, citizenship, marital status, age, languages spoken, veteran status, color, religion, disability, sexual orientation, and beliefs. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Job DescriptionApplied AI EngineerLocation: New York, NY (Hybrid – Wednesday Remote) Employment Type: Full-TimeHireNow Staffing is actively recruiting multiple seasoned, highly skilled Applied AI Engineers to join one of our valued client partners. HireNow Staffing is acting as a direct placement partner for this Applied AI Engineering opportunity within the fintech and institutional investment technology sector.Position OverviewThis position is built for engineers who thrive in fast-moving environments and enjoy building AI-powered applications that solve complex operational problems for institutional finance teams. The selected candidates will work on production-grade AI systems used by sophisticated investment organizations, transforming research, analytics, and operational workflows through modern AI infrastructure and automation.This is not a research-focused AI role. The client is seeking engineers who can build, deploy, and scale user-facing AI applications using modern LLM infrastructure, agentic frameworks, orchestration tooling, and full-stack engineering principles.Candidates must be comfortable operating in highly unstructured startup environments where ownership, execution speed, and technical depth are essential.Core Responsibilities • Build AI-powered client applications leveraging modern LLM infrastructure and orchestration frameworks, • Develop agentic workflows, automation layers, and intelligent research systems for institutional investment teams, • Design and maintain backend APIs using Python frameworks such as FastAPI, Flask, or Django, • Build responsive frontend applications using React and modern UI tooling, • Implement MCP-connected data sources, orchestration pipelines, and AI agent frameworks, • Develop ETL pipelines supporting portfolio analytics, securities data, research signals, and operational workflows, • Create scalable infrastructure supporting observability, orchestration, AI tooling, and workflow automation, • Work directly with client stakeholders to convert operational challenges into production-ready software solutions, • Support Kubernetes-based deployments across client environments, • Continuously iterate on AI products in compressed delivery cycles while maintaining production quality standards Required Qualifications (Non-Negotiable)Candidates must meet the following qualifications to be considered for interview:, • 3–8 years of experience as a Full-Stack Software Engineer or Applied AI Engineer, • Strong Python development expertise with production API experience using FastAPI, Flask, or Django, • Demonstrated experience building user-facing AI products from concept through deployment, • Hands-on experience integrating frontier LLM APIs such as Anthropic or OpenAI, • Proven experience using agentic AI tooling including MCP servers, Claude Code, Codex, LangGraph, OpenClaw, LangChain, OpenCode, or similar frameworks, • Strong understanding of agentic loop architecture, state handling, orchestration, and context management, • Experience building full-stack applications using React and backend API systems, • Comfortable operating within startup-style, highly unstructured environments, • Stable employment history with demonstrated ownership of long-term projects and product delivery, • Strong communication skills with ability to collaborate directly with technical and non-technical stakeholders Preferred Qualifications, • Prior fintech, hedge fund, institutional investment, biotech, or quantitative systems experience, • Experience building AI-powered workflow automation tools or financial intelligence platforms, • Familiarity with Kubernetes deployments and cloud infrastructure environments, • Experience working with portfolio analytics, risk systems, or data-intensive applications, • Strong understanding of data orchestration and distributed system workflows, • Experience working within high-performance engineering teams delivering products rapidly HireNow ChecklistHireNow Staffing is recruiting for Applied AI Engineers who demonstrate:, • Strong ownership mentality with proven 0-to-1 product development experience, • Deep hands-on AI implementation expertise rather than purely research-based AI backgrounds, • Strong full-stack engineering capabilities with production-level Python and React experience, • Experience building customer-facing AI applications using modern LLM infrastructure, • Ability to move quickly while maintaining software quality and operational reliability, • Clear interest or exposure to fintech, quantitative systems, or high-stakes data environments, • Stability within prior employment history and consistent technical growth, • Strong problem-solving ability within ambiguous or rapidly evolving environments HireNow DisqualifiersCandidates will not be considered if they primarily demonstrate:, • AI research, model training, fine-tuning, or optimization experience without user-facing application development, • Internal tooling-only backgrounds without production customer-facing product ownership, • Big Tech-only environments lacking startup execution and independent ownership experience, • Limited or no hands-on agentic framework implementation experience, • No direct integration experience with modern LLM APIs and orchestration tooling, • Frequent job changes, contract-heavy work history, or unstable employment backgrounds, • Limited frontend engineering capability or lack of full-stack product development experience HireNow Package, • Location: Hybrid onsite role in New York, NY (Wednesday remote schedule), • Compensation: $230,000 – $300,144 base salary depending on experience and technical depth, • Additional compensation may include prorated end-of-year bonuses ranging from $25,000 – $50,000, • Equity participation available ranging approximately 0.1% – 0.2%, • Full benefits package available, • Opportunity to work directly with elite institutional investment organizations

Job DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it. Who you are Metropolis is seeking a Director of Applied AI to lead our newly formed Applied AI organization and architect an AI-first operating model from the ground up. You are a technical leader with a rare blend of engineering depth, organizational influence, and a relentless instinct for shipping production-ready systems. Reporting to senior leadership, you will define where AI creates the most leverage across our business—including finance, operations, and GTM—and build the high-performing team of AI Engineers and Process Analysts required to make that vision a reality. Your success will be measured by your ability to partner cross-functionally to redesign core processes, eliminating friction and delivering tangible outcomes in time savings and cost impact. What you'll do • Own the Applied AI roadmap by identifying high-leverage opportunities to rebuild business processes across finance, operations, revenue, and GTM, • Hire, develop, and lead a team of AI Engineers and Process Analysts while establishing a culture of fast iteration, • Partner deeply with functional leaders to understand current work flows and design AI-first solutions to eliminate friction, • Set standards for how the team designs, evaluates, and deploys AI workflows, including prompt systems and LLM integrations, • Establish metrics for each process transformation and hold the team accountable to time savings, error reduction, and cost impact, • Serve as the internal authority on applied AI capabilities, tooling trends, and emerging best practices, • Present strategy, progress, and results to senior leadership and the executive teamWhat we're looking for, • 7+ years of experience in software engineering, AI/ML, or technical product leadership, • At least 2 years leading teams that shipped AI-powered systems in production, • Maintain deep hands-on familiarity with LLMs, agentic workflows, and AI automation tooling such as OpenAI, LangChain, and vector databases, • Demonstrate strong engineering skills and the ability to credibly review and guide technical decisions, • Show a track record of driving organizational change through technology and ensuring tools are adopted for sustained impact, • Apply experience working across functional boundaries to redesign processes with strong instincts for change management, • Utilize excellent communication skills to distill complex AI concepts for a non-technical executive audience, • Maintain a bias toward shipping by moving fast and setting clear expectations for high standardsOur Stack, • Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited), • Datastores: MySQL, PostgreSQL, Snowflake, • Cloud: AWS, • Version control: Git & GitHub, • AI Tooling: Copilot on GitHub and Claude Code When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $225,000.00 USD to $265,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-RR1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job Description Role: AI Architect (Azure/.NET/React - GenAI & Agentic Systems) Experience: 12–15 Years Location: United States Role Summary: We are seeking a hands-on AI Architect to lead the design and evolution of our enterprise Document Submission and Intelligence platform. You will be responsible for defining how GenAI, Agentic frameworks, and RAG architectures transform raw insurance documentation (emails, PDFs, renewals) into structured, actionable business data. Key Responsibilities: • System Architecture: Define the end-to-end blueprint for a multi-layered AI platform, integrating LLM orchestration (LangGraph/Semantic Kernel) with a .NET Core and React ecosystem., • Data Intelligence: Design robust RAG (Retrieval-Augmented Generation) strategies using Azure AI Search and vector databases to enable deep-context searching across customer risk profiles., • Tooling & Connectivity: Architect the Model Context Protocol (MCP) layer to enable AI agents to perform web scraping for risk rating enrichment and fuzzy matching against enterprise databases., • Safety & Governance: Establish rigorous guardrails (NVIDIA NeMo, Microsoft Presidio) for PII masking and hallucination control., • 12+ years in software/data engineering with 5+ years specializing in AI/ML architecture., • Proven experience designing high-throughput document processing pipelines (Unstructured LLM SQL/Cosmos)., • Deep expertise in Azure OpenAI, vector search optimization, and agentic workflows., • Strong background in financial services or insurance domains is highly preferred.

Job Description We build AI agents that actually work in enterprise environments — not prototypes, not demos. We need engineer's who can own the entire agent stack: a production frontend, a robust backend, a properly secured API and identity layer, a memory architecture that scales, and LLM integrations that are model-agnostic and built to last. You'll be deployed on client engagements as the lead technical architect and builder of agentic systems running in AWS, OCI, and Azure. You'll work directly with client stakeholders, translate complex requirements into working systems, and leave behind infrastructure clients can operate and extend. You'll also help Trilagen productize our delivery approach as we scale the practice. If you've only ever built agents that run on your laptop, this isn't the role. If you've shipped agentic systems into production cloud environments and know exactly what breaks and why — we want to talk. What you'll own Full-stack agent development You design and build the entire application — not just the AI layer. This means a React or Next.js frontend with streaming, real-time agent UX; a Python or Node.js backend that orchestrates agent logic, manages state, and exposes clean APIs; and containerized, cloud-deployed services that operations teams can actually run. You own the repo, the CI/CD pipeline, the deployment, and the runbook. Multi-cloud deployment Production agent systems on all three major clouds: AWS (Lambda, ECS/Fargate, Bedrock, API Gateway), Oracle OCI (OKE, Functions, AI Services), and Azure (AKS, Azure OpenAI Service, Azure Functions). You understand the tradeoffs between platforms and can advise clients on where to run what and why. LLM integration and model strategy You have deep, hands-on experience with the leading LLM providers and their APIs — Anthropic Claude (Messages API, tool use, streaming, context management), OpenAI (GPT-4o, Assistants API, function calling), and Google Gemini (Gemini Pro/Flash, Vertex AI). You architect model-agnostic integration layers so clients aren't locked in, and you know how to select, swap, and benchmark models for specific agent tasks. Agentic architecture You understand how to design systems that do real multi-step work: tool use and function calling patterns, ReAct and plan-and-execute loops, agent-to-agent orchestration and handoffs, human-in-the-loop checkpoints, retry and failure recovery strategies, and cost/latency optimization across long-running agent workflows. Frameworks like LangGraph, CrewAI, AutoGen, and the Model Context Protocol (MCP) are tools in your toolbox, not the ceiling of your knowledge. Memory and context layer You've designed and implemented memory architectures for production agents: short-term conversational context, long-term persistent memory, RAG pipelines with vector databases (Pinecone, pgvector, OpenSearch, Weaviate), semantic search, and hybrid retrieval strategies. You know when to use each and how to keep them performant at scale. Security and identity layer This is non-negotiable for our client base. You build the security envelope around every agent system you ship: OAuth 2.0 / OIDC authentication flows, API key lifecycle management, role-based access control enforced within agent workflows, secrets management (AWS Secrets Manager, Azure Key Vault, OCI Vault), audit logging for agent actions, prompt injection defense, and data residency controls. Familiarity with Okta or SailPoint ISC is a direct advantage on our engagements. Requirements • 4+ years of software engineering experience with at least 2 years building and shipping LLM-powered or agentic applications in production cloud environments, • Hands-on depth with at least two of the three major LLM providers: Anthropic Claude, OpenAI, and Google Gemini — at the API level, not just via wrappers, • Full-stack proficiency: Python (FastAPI, Flask, or similar) backend, React or Next.js frontend, REST and WebSocket API design, • Production experience on at least two of: AWS, Azure, OCI — with real deployments, not sandbox accounts, • Demonstrated ability to design and implement agent memory and retrieval systems using vector databases and RAG, • Strong command of AI security practices: auth, RBAC, secrets management, audit logging, and prompt-level safeguards, • Experience with all three LLM providers (Anthropic, OpenAI, Gemini) and model-agnostic orchestration patterns, • Okta and/or SailPoint ISC integration experience Benefits: • 401K, • Health Insurance, • Dental Insurance, • Paid Time Off, • Paid Sick Leave

Job Description SAP Supply Chain & AI Automation Specialist – new role Engagement: Contract 1 year, with possible extension Location: Chicago, IL / Salt Lake City, UT / New York, NY (3 days onsite) Role purpose We are looking for a senior domain expert to lead the analysis, design, and delivery of intelligent supply chain solutions for our energy bar manufacturing operations. This person will combine deep SAP expertise in lot traceability, production planning, and quality management with the ability to build, configure, and showcase AI-powered applications in Microsoft Copilot Studio. The role sits at the intersection of SAP functional consulting, demand planning, and Microsoft Power Platform — translating complex operational problems into working digital tools that business users can adopt immediately. Key responsibilities SAP analysis & traceability • Lead end-to-end analysis of lot and batch traceability across SAP MM, PP, QM, and WM modules, identifying gaps in batch genealogy, shelf-life tracking, and FEFO compliance., • Map traceability data flows across SAP tables (MCHA, MCH1, CHVW, MSEG) and document current-state problems with clear root-cause analysis., • Design and implement configuration improvements within SAP S/4HANA to resolve traceability gaps, including batch classification, expiry date management, and goods movement tracking., • Analyse existing MRP models and demand planning processes, identifying inefficiencies in reorder point logic, safety stock calculations, and planned order management., • Build improved demand planning models that account for ingredient shelf life, seasonal demand patterns, and batch-specific supply constraints., • Configure and fine-tune MRP parameters in SAP including planning horizons, lot sizing, and procurement lead times specific to food manufacturing., • Design, build, and deploy intelligent agents using Microsoft Copilot Studio, connecting to SAP via OData APIs and the SAP Power Platform connector., • Deliver working applications including a natural-language lot traceability agent, a demand planning assistant, a recall impact assessment tool, and an executive supply chain summary copilot., • Build Power Automate flows to orchestrate SAP data retrieval, exception alerting, and approval workflows triggered through Copilot Studio., • Showcase solutions to business stakeholders through structured demonstrations, collecting feedback and iterating rapidly on the applications., • Work closely with supply chain managers, quality teams, warehouse operatives, and senior leadership to understand pain points and translate them into technical requirements., • Produce clear process documentation, solution design documents, and user guides for every application delivered. SAP lot traceability Hands-on experience with SAP batch management, FEFO, shelf-life settings, and batch where-used reports in MM/PP/QM/WM. Familiarity with GS1 traceability standards. SAP MRP & demand planning Proven ability to configure and optimise MRP in SAP S/4HANA — reorder points, safety stock, lot sizing, MRP types. SAP IBP or APO experience is a strong advantage. SAP modules Functional expertise across at minimum three of: MM, PP, QM, WM/EWM, SD. Food or FMCG manufacturing experience required. Microsoft Copilot Studio Ability to design and build custom copilots, topics, actions, and Power Automate flows. Experience connecting copilots to external systems via APIs. Power Platform Proficiency in Power Automate, Power BI, and Dataverse. Experience using SAP connectors within the Power Platform ecosystem. API & integration Working knowledge of OData APIs, REST, and SAP BTP or equivalent integration middleware for connecting SAP to external applications. Food manufacturing domain Understanding of food safety regulations, allergen management, traceability requirements (FSMA, HACCP), and production scheduling in an FMCG environment. Stakeholder communication Able to present complex SAP and AI topics clearly to non-technical business users. Experience facilitating workshops and delivering live system demonstrations. Desirable: · SAP Certified Application Associate in MM, PP, or QM. · Microsoft Power Platform Functional Consultant certification (PL-200) or Copilot Studio certification. · Experience with Azure AI Services, Azure OpenAI, or Generative AI integration within Power Platform. · Familiarity with GS1 digital link standards and barcode/RFID-based traceability systems. · Prior experience delivering SAP transformation projects in a food, beverage, or nutraceutical business.

Job Description About Us globaledit, a division of CoCreativ, is the leading provider of a powerful SaaS platform that optimizes and accelerates creative production. We are Private Equity-backed, based in New York City & Los Angeles with a well-established client base. Our Clients include leading fashion brands, retailers, and entertainment companies – including Morphe Cosmetics, Rag and Bone, and Warner Bros. This role is a hybrid position based onsite in our offices in Tribeca 3 days per week. The Role We need a technical visionary who gets things done. You'll work with a team of 14 engineers, building and scaling a serverless platform that handles creative production workflows for major brands. This isn't a job where you sit in meetings all day. You'll be in the code, making architecture calls, mentoring engineers, and shipping features. You'll work closely with Product to shape what we build, bringing technical perspective to prioritization and planning. Your team operates with autonomy. Your job is to set direction, remove blockers, and make sure we're solving the right problems the right way. We need someone who can balance "let's move fast" with "let's not break everything." What You'll Do Build and Ship • Make architectural decisions for our serverless platform – you own the technical direction, • Review code, challenge approaches, and guide the team toward better solutions, • Jump into our most important technical problems and get hands on in the code, • Work with Product to translate "what we need" into "what we're building", • Backend: C#/.NET on Lambda, API Gateway, Step Functions, • Frontend: React on S3/CloudFront, • Infrastructure: CloudFormation for IaC, • Tooling: Azure DevOps (repos, pipelines, project management) Requirements What You Need The Basics: • 7+ years building software, 3+ years leading engineering teams, • Deep AWS experience, especially serverless (Lambda, API Gateway, Step Functions), • Strong backend chops (C# is great, but any similar language works if you're solid), • You've managed distributed teams and made it work across time zones, • You can review code, make architecture decisions, and explain why your approach is better, • You're a doer. You don't just delegate – you jump in when needed, • You can move fast without cutting corners, • You're comfortable with ambiguity and figure things out as you go, • Familiarity with CloudFormation and Azure DevOps, • Experience adding AI/ML to existing products (Bedrock, OpenAI, etc.), • Background in creative production, media, or SaaS, • Experience with Datadog Benefits The anticipated salary range for this role is $190,000 - $220,000 annually. Ranges are based on various factors including the labor market, job type, internal equity, and budget. Exact offers are calibrated by work location, individual candidate experience, and skills relative to the defined job requirements. This is a hybrid role with several days per week onsite in our studios in Tribeca and requires flexibility to work in-office and remotely. We offer a competitive benefits package including major medical, dental and vision insurance, FSA, HSA, and employee discounts. Industrial Color is a division of CoCreativ, a family of integrated creative production companies. Industrial Color partners with top brands, agencies, and creative professionals providing a full range of essential production services. For over 30 years, we've led the industry through a culture of innovation, bringing state-of-the-art digital production and post-production solutions to our clients. Our headquarters is based in Tribeca, NY, with offices in Los Angeles and studios in Brooklyn and Los Angeles. Our clients include: L'Oreal, Publicis, Procter & Gamble, Tommy Hilfiger, Absolut Vodka, Nike, Estee Lauder, Amazon.

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. As a Senior Software Engineer, you'll redefine the post-purchase experience, building 0 to 1 proactive support flows that reduce customer anxiety and strengthen trust at critical moments. You'll transform our transactional email and SMS systems by centralizing infrastructure and improving how we communicate with millions of customers. In parallel, you'll modernize MyAccount, a high-traffic, high-impact surface, enabling faster iteration and better experiences across teams. This role sits at the intersection of product, platform, and customer experience. You won't just optimize existing flows; you'll define how customers experience StubHub after purchasing and building the systems that power it. About the Active Support Team: The Active Support team is transforming post-purchase experiences. Our mission is to resolve as many customer issues as possible instantly, without a live agent, while ensuring exceptional service when human support is needed. Location: Hybrid (3 days in office/2 days remote) – New York, NY What You'll Do: • Design step-by-step flows for complex scenarios (orders, replacements, refunds), • Own critical post-purchase experiences at scale, • Partner with Product, Design, and AI teams to iterate quickly, • Leverage OpenAI, Claude, and internal systems for reliable interactions, • Improve performance, scalability, and system reliability, • High ownership, high impact: own critical parts of the customer journey at global scale, • Own and build 0 to 1 experiences at massive scale by creating innovative, seamless post-purchase customer journeys across web and native platforms., • Fast iteration: ship quickly, learn from real users, and continuously improve, • Product-driven collaboration: work closely with Product and Design with real influence on direction, • Modern tech, real challenges: build with AI, real-time systems, and distributed infrastructure, • Product & Front-End Craft, • Built and shipped high-quality, customer-facing experiences at scale, • Drove measurable improvements in key metrics (conversion, engagement, CSAT), • Strong product intuition for post-purchase and trust-critical moments, • Experience leveraging and evolving design systems, with a focus on performance and polish, • Able to turn ambiguity into simple, intuitive, and well-crafted user experiences, • Systems Thinking, • Work seamlessly across APIs, backend systems, and real-time data flows, • Proven ability to improve latency, reliability, and scalability at scale, • Think in systems across frontend, backend, and communications (email/SMS) to deliver cohesive, end-to-end experiences, • Impact Mindset, • Focused on outcomes, not output, • Track record of measurable impact, • Experience in metrics-driven, experiment-led environments, • Communicate results clearly with data, • Tech Stack, • We don't require specific technologies as great engineers can learn what they need quickly, • Backend experience with languages like Java, Go, or Python is valued, • Experience with modern front-end frameworks (React, React Native, Vue, Angular, Next.js), • Strong UI craft, design systems, and performance mindset, • JavaScript and TypeScript are used across the stack; we care more about what you've built than the tools you've used What We Offer:, • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed., • Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options. The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate's qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub's total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range$200,000—$250,000 USDAbout UsStubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. For California Residents: California Job Applicant Privacy Notice found hereWe are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.

Job Description VP, Head of Responsible AI Our client is seeking a visionary VP, Head of Responsible AI to architect trust across our enterprise AI initiatives. Reporting jointly to the CIO and General Counsel, you will accelerate AI adoption while embedding ethical, legal, and security guardrails in a data-centric operations environment. In a data-centric operations environment, this role serves as the bridge between technical innovation and legal safeguard — enforcing a dual mandate: accelerating AI adoption while minimizing systemic risk. Responsibilities: • Define and operationalize a 3-year Responsible & Secure AI maturity roadmap aligned with client commitments and global regulations., • Co-lead the AI Governance Committee with CIO/GC to unify AI approval and deployment decisions., • Serve as enterprise spokesperson on AI Trust for clients, regulators, and industry forums., • Establish the "Source of Truth" for all AI assets (model registries, lineage, audit trails)., • Oversee red-teaming, stress testing against prompt injection, model extraction, and data poisoning., • Embed security into LLMOps/DevSecOps pipelines for "Secure by Design" agentic systems., • Ensure RAG/fine-tuning workflows prevent PII leakage and client data cross-contamination., • Implement protocols to discover and govern shadow AI across business units., • Drive 100% compliance with EU AI Act, NIST AI RMF, ISO 42001, and US state laws (e.g., Colorado AI Act)., • Mandate bias detection/mitigation and algorithmic fairness protocols., • Enforce Human-in-the-Loop (HITL) requirements for high-stakes AI operations., • Support client negotiations with transparency on AI data protection., • Partner with Business Units to RAI-enable workflows without bypassing risk guardrails., • Vet foundation model providers (OpenAI, Anthropic) and open-source libraries., • Ensure AI systems align with EXL's cloud, data governance, and platform strategies., • Oversee policy adherence via audits, dashboards, and compliance reviews., • Lead enterprise training and culture-building for responsible AI., • Build/mentor a team of AI governance leads, ethicists, and security experts. Qualifications: Required: • 15 years in technical, legal, or risk leadership; 5 years dedicated to AI/ML governance, security, or ethics., • Hybrid expertise: Discuss Transformer architectures/vector DBs with engineers AND liability/indemnification with Legal., • Deep fluency in NIST AI RMF, ISO 42001, EU AI Act., • Proven experience building "Governance-as-a-Service" in global, regulated, client-facing enterprises., • Direct experience with LLMOps, RAG security, red-teaming, shadow AI mitigation., • Track record leading AI governance committees or maturity programs., • Comfortable in client-facing roles providing AI trust assurances.

Job Description Capgemini is at the forefront of Generative AI innovation, helping Financial Services clients industrialize GenAI and Agentic AI platforms at enterprise scale. We are seeking an experienced and innovative AI Product Engineer – Agentic Platforms to join our Financial Services Artificial Intelligence & Business Lines (FS‑ABL) practice. This role is ideal for a consulting technologist with deep expertise in modern GenAI tooling, agentic system design, and enterprise SDLC, who can partner directly with clients to envision, design, develop, and deploy Agentic AI platforms in regulated environments. In this role, you will work at the intersection of client advisory, AI product engineering, and delivery execution, helping banks, insurers, and capital markets firms transition from GenAI pilots to production‑grade, governed, multi‑agent systems. You will apply leading GenAI frameworks and LLM platforms — including Anthropic, OpenAI, LangChain, LangGraph, DSPy, and vector databases—while operating across the full Agentic SDLC. P&C Insurance knowledge and experience is a significant plus. Additionally, familiarity with core insurance platforms like Guidewire, DuckCreek or Majesco will be extremely helpful to succeed in this role. We are looking for candidates across all levels of experience and expertise - junior through senior level AI Product Engineers. Requirements Client Advisory & Product Vision • Partner directly with Financial Services clients to identify, prioritize, and shape Agentic AI use cases across customer operations, underwriting, claims, risk, compliance, finance, and technology., • Lead client workshops to define agent personas, responsibilities, autonomy boundaries, human‑in‑the‑loop checkpoints, and escalation logic., • Translate evolving business needs into agentic product backlogs, roadmaps, and MVP definitions., • Design and implement multi‑agent architectures using modern GenAI tooling, including:, • Planner, executor, reviewer/critic, and supervisor agents, • Tool‑calling and function‑calling agents, • Memory‑enabled agents (conversation, semantic, episodic, and structured memory), • Leverage LangChain and LangGraph for agent orchestration, workflows, and control flow., • Apply DSPy and declarative prompt optimization techniques for repeatability, performance tuning, and regression control., • Design agent interaction patterns such as hierarchical agents, collaborating agents, and event‑driven agent workflows., • Own delivery across the full Software Development Lifecycle (SDLC), extending it into a formal Agentic SDLC, including:, • Agent design specifications and behavior contracts, • Prompt, policy, and tool versioning, • Simulation environments and offline evaluation, • Automated testing of agent flows and guardrails, • Controlled rollout, telemetry‑driven optimization, and continuous learning, • Build production‑grade AI services primarily using Python, integrating:, • LLM providers such as Anthropic (Claude), OpenAI, and open‑source models, • Retrieval‑Augmented Generation (RAG) using vector databases (e.g., Pinecone, FAISS, Milvus, Weaviate), • Implement CI/CD pipelines for agent code, prompts, and policies., • Implement agent observability including tracing, decision logging, tool usage, and failure analysis., • Apply evaluation frameworks for hallucination detection, consistency checks, and fitness scoring., • Design feedback loops incorporating human‑in‑the‑loop review and reinforcement., • Design Agentic AI platforms aligned with Financial Services regulatory expectations, including:, • Auditability and traceability of agent decisions, • Model and prompt explainability, • Data privacy and security controls, • Resilience and fail‑safe mechanisms, • Embed guardrails and policies addressing hallucination risk, bias, unauthorized actions, and escalation failures., • Provide technical leadership and mentorship to consulting delivery teams., • Contribute to internal GenAI accelerators, agent frameworks, and reusable assets., • Support RFPs, proposals, and client solution designs with credible GenAI and agentic architectures. This position comes with competitive compensation and benefits package: • Competitive salary and performance-based bonuses, • Comprehensive benefits package, • Career development and training opportunities, • Flexible work arrangements (remote and/or office-based), • Dynamic and inclusive work culture within a globally known group, • Private Health Insurance, • Retirement Benefits, • Paid Time Off, • Training & Development, • *Note: Benefits differ based on employee level About Capgemini Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 420,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2025.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at Requirement: Hybrid in-office at our Sunnyvale, CA OR Bellevue locationsWhat You'll Do: • Develop agents using AI capabilities into applications using frameworks such as LangChain, LangGraph, ChatGPT API, and Glean API, • Design and build first-party web and mobile applications using React (TypeScript) and modern front-end frameworks, • Develop scalable backend services in Node.js and Go for data processing, orchestration, and automation, • Build internal AI agents and copilots that assist with tasks in Finance, Billing, and Supply Chain domains, integrating with systems like ERP, HRIS, MRP, DCIM, Data Warehouse among others - either natively or via an iPaaS like Workato or Boomi, • Implement APIs and microservices that enable modular and event-driven application architectures, • Leverage GenAI tools (Cursor, Claude, Copilot, ChatGPT Codex) to accelerate development, testing, and documentation, • Ensure robust observability, maintainability, and security across the application stack, • Programming Experience: 3+ years of professional programming experience in languages such as TypeScript, Python, Go, C++, C#, or Java, specifically for delivering production-grade cloud services., • Full-Stack Proficiency: Proven expertise in modern backend (e.g., FastAPI, gRPC) and frontend technologies (e.g., React, Next), including the development of scalable backend services in Node.js and Go., • AI/LLM Experience: Solid familiarity with Generative AI frameworks (LangChain, LangGraph, ChatGPT API, or Glean API) and experience shipping production-grade AI/ML/LLM-based applications, or strong desire to build them., • Architecture: Solid experience designing and implementing RESTful APIs, microservices, and event-driven integration architectures., • Cloud & DevOps: Strong understanding of cloud environments (AWS, Azure, or GCP), container orchestration (e.g., Kubernetes), and proficiency with DevOps and CI/CD principles., • Automation Tooling: 3+ years of experience in scripting (Python or Bash) for automation and tooling.Preferred:, • Experience developing AI-powered or agentic applications integrated with complex enterprise data (ERP, HRIS, DCIM, Data Warehouse)., • Proficiency with machine learning and data engineering platform tools (e.g., Ray, Kafka, Spark)., • Experience with iPaaS platforms (Workato, Boomi) for building internal AI agents and copilots., • You love to leverage cutting-edge GenAI tools (like Cursor, Claude, or Copilot) to accelerate your own development, testing, and documentation processes., • You're curious about designing solutions with user experience (UX) and long-term system maintainability as a top priority., • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $139,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

ImagineX is a tech company that deploys AI-assisted teams to build and secure mission-critical enterprise solutions with our clients – spanning software, data, and AI. Structured like a software company, not a traditional consultancy, we blend deep technical expertise with authentic values, achieving world-class satisfaction (NPS 91). Our dedicated teams specialize in software, data, and AI across the U.S. and LATAM, bridging the gap between boutique agility and enterprise scale. We’re looking for a Senior Software Engineer, AI/ML who combines a strong .NET engineering foundation with real, hands‑on experience building AI‑powered systems in production. This is not an “AI‑curious” role — it requires someone who has shipped AI features, understands the constraints of real‑world deployment, and can influence both technical and product direction. • Design, build, and deploy AI‑powered features and systems within a modern .NET environment., • Own technical direction for AI/ML components, including architecture, model integration, and performance optimization., • Partner with product, engineering, and client stakeholders to shape the roadmap for AI‑driven capabilities., • Evaluate and integrate LLMs, vector search, embeddings, and other modern AI techniques into production workflows., • Lead by example through high‑quality code, strong engineering practices, and thoughtful technical decision‑making., • Drive experimentation, prototyping, and rapid iteration to validate AI‑powered product ideas., • Ensure AI systems are reliable, observable, and maintainable in production environments., • Mentor engineers and contribute to a culture of technical excellence and innovation., • Strong .NET engineering background with experience building production-grade systems., • Demonstrated experience shipping AI/ML features in production, not just experimentation or conceptual familiarity., • Hands-on experience integrating LLMs, model APIs, vector databases, or ML pipelines., • Ability to influence architecture, product direction, and long-term technical strategy., • Strong problem-solving skills and comfort operating in high-autonomy environments., • Excellent communication skills and the ability to collaborate with cross-functional teams., • Experience working in fast-paced, client-facing, or consulting-style environments is a plus., • Experience with Azure AI, OpenAI, or other enterprise AI platforms., • Background in ML Ops, model evaluation, or production monitoring of AI systems., • Experience with distributed systems, event-driven architectures, or cloud-native design., • Prior work on financial, payments, or risk-related systems., • Engineers who want to own both the technical and product direction of AI features., • Builders who are excited to bring AI from concept to production reality., • Senior ICs who operate with autonomy and influence without needing formal authority., • People who want to work on high-impact, client-facing initiatives with real-world complexity.

Job Description: Overview: We don't simply hire employees. We invest in them. When you work at Chatham, we empower you - offering professional development opportunities to help you grow in your career, no matter if you've been here for five months or 15 years. Chatham has worked hard to create a distinct work environment that values people, teamwork, integrity, and client service. You will have immediate opportunities to partner with talented subject matter experts, work on complex projects, and contribute to the value Chatham delivers every day. Chatham Financial is looking for an AI Solutions Engineer to design, build, and deploy custom AI solutions that address high-value business workflows. This is a hybrid technologist and trusted advisor role.You'llwork closely with stakeholders to understand operational challenges and build AI-powered solutions that create measurable value.You'llown problems end-to-end-from discovery through production. This is a hybrid technologist and trusted advisor role.You'llembedwith client teams, understand their operational challenges, and build AI-powered solutions that create measurable value. Think startup CTO meets management consultant-you'llownproblems end-to-end. What You'll Do: Client Engagement * Work directly with private equity firms, real estate investors, and capital markets clients to understand their workflows andidentifyAI opportunities * Lead discovery conversations to uncover pain points and scope solutions * Present recommendations to both technical and executive stakeholders Solution Design & Architecture * Architect custom AI solutions including workflow automation, data extraction, intelligent reporting, and AI agents * Evaluate when to use LLMs vs. traditional ML vs. rule-based approaches * Design systems that integrate with existing client infrastructure Hands-On Building * Write production code-Python, modern web frameworks, LLM integrations (OpenAI, Anthropic, etc.) * Build RAG systems, agentic workflows, and custom AI applications * Own the full stack from data ingestion to user interface Rapid Prototyping * Build working prototypes in days/weeks, not months * Validate value quickly with real users and real data * Iterate based on feedback and measured outcomes Production Deployment * Take solutions from prototype to production * Ensure reliability, security, and maintainability * Support ongoing optimization and enhancement Contributors to your success: * 7+ years of software engineering experience, ideally with client-facing or consulting exposure * Strong programming skills in Python; experience with TypeScript/JavaScript a plus * Hands-on experience building with LLMs (GPT, Claude, etc.)-RAG, prompt engineering, fine-tuning, or agentic systems * Experience taking AI/ML projects from prototype to production * Excellent communication skills-can explain technical concepts to executives and collaborate with non-technical stakeholders * Comfortable with ambiguity-can scope problems, make decisions, and own outcomes end-to-end * Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent experience * Experience in financial services, private equity, or real estate * Background at a startup (especially as early engineer) or consulting firm * Experience with data pipelines, ETL, and working with messy enterprise data * Familiarity with cloud platforms (AWS, Azure, GCP) * Experience with vector databases, embeddings, and semantic search For New York based candidates, the compensation range for the position is expected to be between $200,000 and $275,000 annually. Total compensation, including base pay, discretionary individual bonus and company bonus, may be higher than range listed, depending on applicant's skills, qualifications, and experience. Benefits include health insurance, life and disability insurance, 401k, EAP, paid holidays and paid time off. About Chatham Financial: Chatham Financial is the leading independent capital markets advisor, delivering an integrated blend of expert advice and powerful technology to help you reduce risk and seize opportunity. With decades of capital markets strategy, execution, monitoring, and performance expertise, we serve as an unwavering advocate for your best interests and your innovation partner. Our technology platform unifies data across assets, debt, and derivatives, giving you unmatched agility, transparency, and insight. It's clear ahead. Our commitment is to carry that light forward in every partnership, every solution, and every market we serve. We help guide the way-giving clients the insight and momentum to move forward with confidence, no matter what lies ahead.

With 200+ companies now using kapa (including Grafana, OpenAI, Reddit and many others), having answered 10+ million technical questions, we've proven this works at scale. Strong interest in AI and the ability to have intelligent conversations about technical topics like RAG are important (we'll help

Job DescriptionCompany Description Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. Strategy & Management Consulting Sia’s Strategy & Management Consulting global footprint and expertise in more than 40 sectors and services allow us to enhance our clients' businesses worldwide. We guide their projects and initiatives in strategy, business transformation, IT & digital strategy. A digital leader or growing disruptor, everyone must transform themselves to maintain their advantage. The Sia Technology Business Unit supports clients through digital, operations and organizational transformation adapted to their culture and working methods. We help clients strategize and scale leveraging deep expertise and solutions in compliance and risk management, strategic technology partnerships, data science, operations and business analysis and mergers and acquisitions. Job Description We’re looking for an AI Delivery Lead to help organizations operationalize AI, automation, and agent-based workflows at scale. In this role, you will lead complex AI-enabled transformation initiatives across business and technology teams, helping clients move from experimentation to measurable business impact. You will operate at the intersection of program delivery, AI transformation, and enterprise operations — driving execution across multiple initiatives while helping organizations adopt scalable AI-enabled ways of working. This role is ideal for someone who combines strong program leadership with curiosity around emerging AI technologies and a practical, execution-oriented mindset. You should be comfortable navigating ambiguity, managing competing priorities, and partnering with both business and technical stakeholders to deliver meaningful outcomes. You’ll work closely with product owners, engineering teams, business leaders, and cross-functional stakeholders to structure delivery, manage risk, implement AI-powered solutions, and drive enterprise adoption. What You’ll Do Lead AI Transformation Delivery • Drive end-to-end delivery across multiple AI, automation, and technology transformation initiatives, ensuring consistent intake, prioritization, execution, and measurement aligned to organizational goals, • Partner with product owners, program managers, and engineering teams to translate business needs into scalable AI-enabled solutions and operational workflows, • Support delivery across cross-functional teams while balancing speed, quality, stakeholder expectations, and business priorities, • Navigate ambiguity and solve complex delivery challenges in fast-paced client environments, • Support the implementation of AI-powered workflows, automation initiatives, and agentic systems across enterprise functions, • Help structure workflows, delivery models, governance processes, and operational approaches that enable scalable enterprise AI adoption, • Collaborate closely with technical and business teams to move solutions from pilot to scaled deployment, • Evaluate emerging AI tools, platforms, and capabilities to identify practical enterprise applications and opportunities for process improvement, • Define program goals, success metrics, and reporting mechanisms tied to adoption, efficiency, quality, operational performance, and business impact, • Partner with stakeholders to align intake processes, prioritization frameworks, SLA tracking, risk management, and post-launch measurement to organizational standards, • Identify and proactively manage delivery risks, dependencies, and escalation paths to ensure projects remain on track, • Provide ongoing communication and program visibility to leadership and stakeholders while reducing surprises through proactive risk management, • Build strong relationships with internal customers and stakeholders to establish alignment on objectives, timelines, and expected outcomes, • Help organizations adopt AI-enabled ways of working through stakeholder engagement, communication, training, and operational support, • Support the development of repeatable playbooks, documentation, and best practices to enable scalable delivery and enterprise AI adoption, • Mentor junior consultants and support delivery excellence across project teamsQualifications Required • 7+ years of experience in program management, project management, product delivery, consulting, or technology transformation roles within technology, fintech, or enterprise environments, • 3–5 years of experience in a Technical Program Management, AI delivery, or equivalent technical delivery capacity, • Hands-on experience supporting, designing, building, or deploying AI agents, automation workflows, or AI-enabled operational solutions in partnership with business and engineering teams, • Strong understanding of generative AI concepts, including LLMs, AI agents, copilots, workflow automation platforms, and enterprise AI adoption challenges, • Experience leading multiple large, cross-functional initiatives simultaneously while establishing scalable processes and driving measurable outcomes, • Experience working in Agile delivery environments and collaborating closely with product and engineering teams, • Ability to translate ambiguous business challenges into structured delivery plans, workflows, and implementation approaches, • Strong communication and stakeholder management skills with experience working across business and technical teams, including executive-level stakeholders, • Demonstrated ability to manage program budgets, operational reporting, and delivery governance across large-scale initiatives, • Strong problem-solving capabilities with the ability to operate effectively in fast-moving and evolving environments, • Demonstrated technical and/or data-related acumen within program or project delivery environments, • Bachelor’s degree required; Master’s degree preferred, • Hands-on experience experimenting with AI platforms and tools such as OpenAI, Claude, Microsoft Copilot, Gemini, or workflow automation platforms, • Experience supporting enterprise AI transformation, automation, or digital enablement initiatives in consulting or enterprise environments, • Experience working with enterprise systems, operational workflows, data platforms, or reporting tools, • Exposure to Agile methodologies, transformation programs, or enterprise change initiatives, • PMP, Scaled Agile, Scrum Master, Lean Six Sigma, or equivalent certifications preferred, • Experience with tools such as ServiceNow (Carts+), Smartsheet, MS Project, Azure DevOps, Tableau, or similar delivery and reporting platforms is a plus, • Work on high-impact AI transformation initiatives across industries, • Help organizations operationalize generative AI and automation at scale, • Collaborate with product, engineering, strategy, and business leaders, • Drive enterprise adoption of AI-enabled workflows and operating models, • Experiment with emerging AI tools, copilots, automation platforms, and agent-based systems, • Join a fast-growing team focused on the future of enterprise AI transformation, • Build highly valuable experience at the intersection of AI strategy, program delivery, and business transformation Additional Information Compensation & Benefits We believe in supporting our team professionally and personally. Here’s a snapshot of the comprehensive benefits you’ll enjoy as part of Sia. Competitive Compensation * Annual base salary between $135,700 - $170,000 commensurate with experience and qualifications * Annual performance based discretionary bonus Robust Health Coverage * 3 Medical plans * Dental and Vision * Life, AD&D and other voluntary insurance Tax-Advantaged Accounts * 401K retirement plan * 4% matching and 100% vested upon enrollment * Health Savings Account (HSA) * Flexible Spending Account (FSA) * Health, Dependent Care, Commuter Family Friendly Benefits * 100% paid parental leave for all new parents with eligible tenure * Building Healthy Families program if enrolled through Medical plan Time Off to Recharge * Generous Paid Time Off (PTO) policy * 9 company holidays plus 1 floating holiday Extras that Make Life Easier * College savings and student loan repayment assistance * Monthly cell phone stipend * Access to wellness programs at no cost if enrolled through Medical plan, including: * Gym membership reimbursement * LiveHealth Online virtual care * Personalized support from a Well-being Coach * Employee Assistance Program at no cost * Free confidential counseling and emotional support services * On-demand access to Emotional Well-being resources (ranging from relaxation techniques to stress management) Diversity, Equity, Inclusion & Belonging At Sia, we believe in fostering a diverse, equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact. Please visit our website for more information. Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs. Office Workplace Guidelines Sia is committed to providing a flexible workplace environment that supports client, business, and market needs. Consultants located in our primary market office locations—New York City, Charlotte, Seattle, and San Francisco—are expected to live within a reasonable commuting distance and attend the office or client site at least three days per week. Work Authorization & Sponsorship At this time, Sia does not intend to pursue employment with applicants who will require now or in the future visa by our company for work authorization in the United States (i.e., H1-B visa, F-1 visa (OPT), TN visa, or any other non-immigrant status). Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

Job Description About the Role We are seeking an exceptional AI Engineer to join our growing team and take a leading role in building and evolving our internal AI-powered agent platform used across the organization. In this role, you will design, build, and improve AI-powered applications that integrate large language models (LLMs) with internal tools, SQL databases, advertising APIs (Google Ads, Meta), and stateful code execution environments. You will play a critical role in improving reliability, context orchestration, evaluation maturity, and expanding Rai into document and workflow automation use cases. Your work will directly impact 200–500 employees and potentially clients, making AI a core productivity multiplier across the organization. Responsibilities include but are not limited to: • LLM Application Development Design, build, and maintain AI-powered applications leveraging LLM APIs, tool calling, and structured outputs., • Agent & Tool Orchestration Develop and improve agent architectures that integrate tools such as SQL execution, Python code execution, and marketing platform APIs through MCP-style integrations., • Context & Memory Management Design and refine multi-turn context handling, session memory strategies, and prompt structures to improve response reliability and reduce hallucinations., • Reliability & Guardrails Implement safeguards for tool execution, SQL queries, and code execution. Improve retry logic, structured validation, and hallucination mitigation strategies., • Evaluation & Quality Assurance Contribute to building structured evaluation frameworks for LLM-powered systems, including multi-turn testing, regression testing, and task-based success metrics., • Product Expansion Support expansion of Rai into document generation, tables, slide decks, and potential Google Workspace integrations., • Collaboration Work closely with Machine Learning Engineers, Product Managers, and Full-Stack Engineers to ensure AI systems are robust, maintainable, and aligned with business goals., • Strong programming skills in Python with experience building production systems., • Experience building applications powered by LLM APIs (OpenAI, Anthropic, Vertex AI, etc.)., • Deep understanding of:, • Context windows and token limits, • Multi-turn conversation behavior, • Tool/function calling, • Structured outputs (JSON schema), • Prompt design and failure modes, • Experience integrating external APIs into production systems., • Proficiency in SQL., • Experience working with cloud platforms (GCP, AWS, or Azure)., • Strong problem-solving skills and ability to debug complex system behavior., • Experience designing evaluation frameworks for LLM-powered systems., • Understanding of embeddings, vector search, and RAG architectures., • Experience building agent or multi-agent workflows., • Experience with stateful execution environments or sandboxed code execution., • Experience with document automation (Google Docs, Slides, PDFs)., • Experience building internal developer tools or productivity platforms., • Python, • SQL, • Cloud Platforms (GCP, AWS, Azure), • LLMs / AI APIs, • Data Warehouses (BigQuery, Snowflake, Redshift), • Data Transformation (dbt), • Semantic Layers (Cube, Looker, dbt Metrics), • Unlimited vacation policy, • Monthly Phone Stipend, • Comprehensive Medical, Dental, and Vision insurance options, • 401(K) plan with matching, • Dog friendly office, • Hybrid work opportunity, • Professional Development Program Level 1 - Possesses essential capabilities * $90,900-$123,540 * Level 2 - Possesses developing capabilities * $123,540-$156,180 * Level 3 - Possesses notable capabilities. * $156,180-$188,820 * Level 4 - Possesses strong capabilities. * $188,820-$221,460 * Level 5 - Possesses advanced capabilities. * $221,460-$254,100 About WITHIN WITHIN is the world's first Performance Branding company, partnering with some of the biggest brands in the world to drive business growth through innovative marketing strategies. Our integrated operating model collapses the traditional marketing silos between creative and media, performance and brand, and across media channels. With a full suite of offerings including media, creative, SEO, Lifecycle, Retail Media, Affiliate and Influencer, we're able to work with our brand partners in an integrated fashion, allowing us to align marketing strategies back to core business objectives. Client teams at WITHIN are trained on how to always act as a trusted business partner, acting as a fiduciary to client needs above our own. Teams at WITHIN have the ability to work with iconic brands such as The North Face, Timberland, Ben and Jerry's and Jose Cuervo. Everyone at WITHIN wants to grow and be challenged. It's a collaborative place made up of small, closely knit and versatile teams that are fast and adaptive to solve problems and build systems. Check out some of our work! We weave AI into everything we do, using the latest tech across all teams to innovate, work smarter, and make better decisions. Whether it's in creative, operations, or anything else, AI helps us level up and do things at a whole new scale. We expect our people to use AI in their daily work, fully embracing it as a critical tool to help us succeed. Join Our Network! Stay connected with us and be the first to know about new opportunities, industry insights, and updates. Follow us on: • LinkedIn, • WhatsApp Community, • Instagram, • New York City: 43-01 22nd St, Suite 602, Queens, NY 11101, United States, • Bogotá: WeWork Av. Carrera 19 #100-45 Usaquén, Piso (Floor) 10, Bogotá, Distrito Capital de Bogotá 110111, Colombia, • Mexico City: Av. Insurgentes Sur 1082, Piso (Floor) 2, Oficina 2008, Ciudad de México, CDMX 03100, México

Job Description Job Title: Founding Senior Backend Engineer Salary: £200k – 275k + competitive equity Location: New York (FlatIron) – 5 days per week in office – 9:30am - 5:30pm hours Launchpad Recruitment are partnering with an early-stage, venture-backed consumer AI startup building a completely new kind of social and dating experience - centred around voice, trust, and AI-powered interaction. This is an opportunity to join as the second engineering hire, working directly alongside the founders to architect and scale the core backend systems from the ground up. The business is operating in true 0→1 mode, so they’re looking for someone who enjoys ownership, ambiguity, and building products that millions of people could eventually use. The product sits at the intersection of: • Real-time voice infrastructure, • AI/LLM systems, • Consumer social experiences, • High-trust, privacy-first product design You’ll play a key role in shaping both the technical direction and engineering culture from day one. The Role You’ll take ownership of the backend architecture and infrastructure behind a real-time, voice-first consumer platform. Responsibilities include: • Building scalable backend systems and APIs, • Designing low-latency real-time voice infrastructure, • Working on streaming and WebRTC-based systems, • Building fault-tolerant and resilient distributed systems, • Supporting AI-powered workflows and LLM integrations, • Improving observability, monitoring, and reliability, • Collaborating closely with founders, product, and design, • Helping define engineering standards and architecture decisions Tech Stack • Python, • FastAPI, • SQLAlchemy / Alembic, • PostgreSQL / Supabase, • React Native, • LiveKit / WebRTC, • Anthropic & OpenAI APIs, • Langfuse, • Render / Google Cloud Ideal Background They’re looking for strong backend engineers who enjoy building products from scratch and solving complex systems problems. You’ll likely have: • Strong backend engineering experience with Python, • Experience building scalable APIs and distributed systems, • Exposure to real-time systems, streaming, or WebRTC, • Startup or 0→1 product experience, • Experience working with cloud infrastructure and observability tooling, • Strong product mindset and willingness to move quickly, • An interest in AI-native products and human-centred technology Experience in consumer apps, voice products, AI tooling, or high-scale systems would be particularly valuable. If you’re interested in building something genuinely different at the intersection of AI, voice, and consumer technology, apply now for a confidential discussion. Launchpad Recruitment Ltd acts as an employment agency for permanent recruitment and an employment business for temporary recruitment. By applying for this role, you consent to your personal data being processed in accordance with our Privacy Policy (launchpadrecruitment.com/privacy-policy). We are committed to equal opportunities for all applicants.

Job Description About Nayya Founded in 2019, Nayya is on a mission to connect people's most important information, so they can thrive in their health and wealth. Powered by AI and advanced analytics, Nayya's platform transforms complex benefits experiences into intuitive, seamless, and ongoing interactions—meeting people's real world needs. As a trusted platform and partner to leading employers, benefits solutions, and HR tech providers, Nayya unlocks long-term value through helping employees live more resilient lives. Backed by strategic investors like ICONIQ, Felicis Ventures, SemperVirens, Workday Ventures, MetLife Nextgen Ventures, and ADP Ventures, Nayya is ushering in the future of health and wealth for all. About the Role Nayya is looking for a Senior Software Engineer, AI Applications to help design, build, and scale the core systems that power our next generation of AI-native products. In this role, you will be critical to developing Nayya's agentic platform to serve millions of employees across their health and wealth management. You will act as a technical leader and AI business partner, translating ambiguous needs into durable, production-grade AI-native workflows that provide clarity for employees and hundreds of hours of savings for our partners. What You'll Do • Develop AI-native features by building and integrating LLM-powered systems for extracting, structuring, and reasoning over complex healthcare and benefits data, • Build against AI infrastructure, including retrieval pipelines (RAG), embeddings, prompt orchestration, and internal agent frameworks, • Own end-to-end systems from design, application development, AI integrations and final product delivery., • Collaborate cross-functionally with Product, Design and other functions to understand customer workflows and translate them into technical solutions, • Implement evaluation pipelines and benchmarking strategies to measure LLM performance, and design guardrails that enforce safety, accuracy, and compliance thresholds across AI-powered featuresWho You Are, • 5+ years of software engineering experience building and operating complex applications in production, • Experienced integrating AI/LLM-powered systems (e.g., OpenAI, Claude) into real products, • Strong proficiency with modern, object-oriented languages and frameworks (Typescript, Ruby etc), • Comfortable completely owning backend systems and APIs and collaborating on frontend experiences, • Experience with AWS infrastructure or equivalent, • Experience with CI/CD pipelines, infrastructure as code, and monitoring tools, • Opinionated, adaptable, and energized by working in fast-moving, ambiguous environments, • Have a track record of setting technical direction and influencing engineering standards across a team Nayya is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics

Job Description Who We Are Kargo creates powerful moments of connection between brands and consumers to build businesses. Every day, our 600+ employees work to radically raise the bar on what agentic AI, CTV, eCommerce, social, and mobile can do to deliver unique ad experiences across the world's most premium platforms. Taking a creative science approach to all we do, we continuously innovate solutions that outperform industry benchmarks and client expectations. Now 20+ years strong, Kargo has offices in NYC, Chicago, LA, Dallas, Sydney, Auckland, London and Waterford, Ireland. Who We Hire Techies who want to build the future. Creatives who want to design it better. Communicators to win business. Collaborators to build it. Data pros who turn numbers into insights. Product builders who turn ideas into innovations. Anyone eager to be on a team that doesn't stop to ask what's next, because they're already building it. Mission As the AI Engineer at Kargo, you will architect, build, and scale AI-powered products and automations for Kargo's commercial organization. Operating within the Data & AI team, you are the connective tissue between revenue teams and AI infrastructure — proactively identifying high-value use cases, building intelligent workflows and agentic applications, and deploying trustworthy systems across Salesforce, Snowflake, Slack, and other internal platforms. You're both hands-on and capable of owning the strategic roadmap for AI operations at Kargo. This is a hybrid role requiring onsite presence 4 days per week. Outcomes - What Success Looks Like in 6-12 Months • At least 3 high-impact AI automations are live and actively used by commercial teams — measurably reducing manual work or improving data quality across Salesforce, Slack, or Snowflake, • A governance model is in place covering prompt engineering standards, audit trails, and a feedback loop that drives continuous iteration, • Cross-functional stakeholders trust and use the tools you've built, and Kargo's Data & AI leadership has a clear, prioritized AI Ops roadmap that you own and drive Design & Automation • Design, build, deploy, and maintain AI-powered automations and agent workflows using modern orchestration frameworks — LangGraph, n8n, OpenAI Responses/Agents tooling, MCP-compatible architectures — with integrations across Salesforce, Slack, Snowflake, Atlassian, Google Workspace, Looker, and Airtable, • Translate business pain points into modular, extensible automation flows that are observable, debuggable, and fault-tolerant; proficient in Python or JavaScript for custom connectors and scripting, • Build production-grade LLM applications — agent workflows, retrieval systems, internal copilots — using ChatGPT Enterprise and related LLM APIs for knowledge surfacing, workflow routing, decision support, and dynamic content generation, • Work cross-functionally with Sales, Client Services, Media Strategy, Marketing, Product, and Ops to discover automation opportunities, prototype quickly, document tooling, and drive self-service adoption, • Prompt libraries, embeddings-based retrieval, or vector databases (Pinecone, Weaviate) and RAG pipelines Builder's Instinct • AdAge Best Places to Work, • ThinkLA Partner of the Year, • Built In Best Places to Work, • Cynopsis 2025 Top Women in Media - Jeannine Shao Collins, • Martech Breakthrough Awards - Best Overall Adtech Company, • Digiday Media Awards Best Event, • Cynopsis Media Impact Awards-Best CTV Platform, • Martech Breakthrough Awards-CTV Innovation, • Big Picture: kargo.com Pursuant to applicable fair chance laws, including the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Kargo will consider qualified applicants with arrest and conviction records for employment.

Job DescriptionCareer Renew is recruiting for one of its clients a Forward Deployed Engineer - AI - this is an onsite role in NYC. Salary range: 180-250K USD yearly plus benefits and equity. We're at the forefront of integrating artificial intelligence into enterprise operations, reshaping how humans and machines collaborate. Our flagship products include Olympus, an AI-native analytics platform, and Athena, an artificial employee designed to operate Olympus alongside enterprise teams. Our mission is to create smarter, more efficient, and truly collaborative environments for global industry leaders. As a company with a loss function for customer value, we're at the forefront of this paradigm shift, engineering solutions that weave artificially intelligent models into the fabric of enterprise workflows. We're funded by Village Global, Forward Deployed VC, Amjad Masad (CEO of Replit), and previous employees at OpenAI, Retool, Palantir, Scale AI, the US Navy, Nestle, and William Blair As a Forward Deployed Engineer (FDE), you'll be at the intersection of cutting-edge AI technology and real-world enterprise challenges. You'll work directly with our clients to implement our technology (Athena and Olympus), by engineering at the edge - our core engineering philosophy. You'll gain unique insights into important industries and institutions while contributing to our core products. We believe in engineering at the edge, where Forward Deployed Engineers build the first version of any product in close collaboration with a single customer. This approach allows us to rapidly iterate and validate our solutions in real-world environments, providing crucial insights that shape our product development. As adoption grows, we integrate this into our core product and deploy it across our fleet, making the FDE role the cornerstone of our product strategy and the primary source of actionable intelligence for our product team. Core Responsibilities * Collaborate closely with clients to understand their unique challenges and operational environments * Design and implement solutions using Olympus and Athena to address client needs * Integrate our AI technologies into existing enterprise systems and workflows * Develop and maintain client relationships, acting as a technical liaison between Athena Intelligence and our partners * Contribute to the continuous improvement of our core products based on field experiences and client feedback * Lead training sessions and provide ongoing support to ensure successful adoption of our technologies Requirements: 3–5 years in a hands-on engineering or technical deployment role (e.g., forward deployed engineer, solutions engineer, startup engineer, technical consultant) — must have shipped real code in production, not just advised (Mandatory)Experience working directly with enterprise clients (engineering, IT, or data teams at large orgs like Fortune 500s) — ideally in a deployment, implementation, or embedded capacity (Mandatory)Background at a high-output technical company or startup (e.g., Scale AI, Retool, Palantir, Databricks, Samsara, or similar) (Nice-to-have)Bachelor's degree in any engineering discipline (CS, mechanical, chemical, industrial, etc.) (Mandatory)Consistent GitHub activity: 1,500+ commits/year across personal and work repos (Mandatory)Proficient in at least one of: Python, JavaScript, or TypeScript — language matters less than demonstrated coding ability across the stack (Nice-to-have)Experience building or deploying AI/ML tools, agents, or data pipelines in enterprise environments (Nice-to-have)Willing and genuinely motivated to be client-facing (Mandatory)Comfortable with up to 50% travel (domestic and international client on-sites) (Mandatory)Why you should join * 20+ enterprise clients including Lowe's, KPMG, Anheuser-Busch, and Kraft Heinz — Athena is already embedded as the backbone of core business operations at major Fortune 500s and winning contracts from OpenAI, Anthropic, and Palantir roughly once a month. * $8M raised at seed stage with backing from Village Global, Amjad Masad (CEO of Replit), and operators from OpenAI, Retool, Palantir, Scale AI, and the US Navy. * $180K–$250K base + competitive equity — senior-leaning comp for a role that's genuinely technical and high-ownership from day one. * Private cloud deployments are the majority of the business — Athena deploys directly into client environments which almost no competitor does. That's a real technical moat and a huge differentiator for engineers who want to work on hard problems. * 13-person team building almost everything in-house — this is a tight-knit in-person NYC crew where every engineer has massive surface area and direct impact on the product roadmap.

Job DescriptionJoin our team and accelerate your career. Life insurance is a complex and consequential purchase that impacts hundreds of millions of Americans. With our powerful and integrated digital tools, expert support, and leading insurance products, we empower advisors to better serve their clients, grow their businesses, and bring the future of the industry to life. We are a high-growth, AI-driven brokerage backed by $35M from top-tier investors, including Thrive Capital (major investors in OpenAI, Stripe, Instagram, Spotify, Slack, and SpaceX), New York Life, and Northwestern Mutual. We're hiring a Marketing Manager to help execute and scale Modern Life's marketing efforts across campaigns, events, growth channels, and sales enablement. Reporting to the Director of Marketing, you'll be a hands on generalist who owns the day-to-day execution of our marketing engine — from paid media and email campaigns to advisor-facing materials and event logistics. You'll also need strong AI fluency to scale content production, automate workflows, and translate our platform's AI capabilities into compelling value propositions for financial advisors. What You'll Do • Execute marketing campaigns across email, LinkedIn, paid ads, and content — owning the full lifecycle from planning through performance analysis, • Test and iterate on paid and organic growth channels to drive advisor acquisition, with a focus on what converts, • Help manage conferences, webinars, and field events, including logistics, promotion, and follow-up, • Develop advisor-facing sales enablement materials — decks, one-pagers, email templates, and case studies that help our brokerage team convert, • Optimize existing lead lists and report weekly on pipeline contribution, MQLs, email performance, and event ROI — surfacing insights and recommendations to the Director of Marketing, • Manage and optimize our marketing tech stack, including Webflow, HubSpot, and Google Analytics to drive conversion and measure performance, • Leverage AI tools to scale content creation, automate repetitive workflows, and improve campaign efficiency, • Collaborate cross-functionally with sales, product, and design to ensure marketing efforts align with company prioritiesWho You Are, • 3-5 years of experience in a marketing generalist, growth marketing, or demand generation role — ideally in B2B, fintech, or financial services, • Hands on experience with HubSpot (or a comparable marketing automation platform), Webflow, and Google Analytics, • Comfortable with paid media. You've run LinkedIn, Google, or Meta ad campaigns and know how to optimize spend against performance, • You can craft compelling long-form content, write a sharp email, build a clean one-pager, and adapt tone for different audiences., • You actively use AI tools in your workflow and can articulate how AI capabilities translate into real value for end users, • You're analytical and data-driven — you don't just run campaigns, you measure them and adjust based on what the numbers say, • You're energized by working at a fast-moving startup where priorities shift and resourcefulness matters more than process

Job DescriptionFounding Engineer Location: New York, NY On-site | Full-time Compensation: $150K - $350K Our client is a high-growth, venture-backed startup on a mission to reinvent technical interviewing and transform the global $600B+ staffing industry. By moving beyond traditional "LeetCode" style evaluations, our client has developed a fundamentally better way for companies to identify talent, combat fraud, and market top-tier candidates to Fortune 500 organizations. The organization is currently at an ideal inflection point: they have moved past product-market fit and are entering a rapid scaling phase. Backed by a $3.1M seed round from premier investors—including GSV Ventures, BoxGroup, and angels from OpenAI, SpaceX, and Retool—the company has already surpassed seven figures in revenue. Their customer base includes dozens of enterprise staffing firms, including the largest staffing firm in the world. Our client is seeking a Founding Engineer to join a talent-dense team of seven hailing from institutions and companies such as Stanford, Penn, Waterloo, Retool, and MongoDB. This is a high-impact role for a builder who wants to own critical systems and define the technical standards for an entire industry. Key Responsibilities • Innovation in Evaluation: Define and build the new standard for technical interviewing, creating systems that retire outdated evaluation methods and provide high-fidelity talent assessments., • AI Implementation: Utilize AI and machine learning to detect fraud, identify complex patterns in candidate performance, and significantly accelerate the hiring lifecycle., • System Architecture: Design, develop, and maintain critical full-stack systems from the ground up, ensuring high performance and scalability., • End-to-End Ownership: Manage features and systems through the entire lifecycle—from initial concept and architectural design to deployment and monitoring., • Technical Proficiency: 4+ years of experience in modern full-stack development. Advanced proficiency in React, Node.js, and Python (or similar frameworks) is expected., • Infrastructure Knowledge: Experience managing cloud-native infrastructure within AWS, GCP, or Azure., • Startup Mindset: Demonstrated ability to thrive in a fast-moving, high-performance startup environment where ambiguity is common., • Coding Fundamentals: Highly technical with a strong bias toward code quality, security, and performance., • Founding Mentality: A desire to solve problems end-to-end and a willingness to take radical ownership over outcomes rather than just tickets., • Location: Ability to work on-site five days a week in the New York City office to foster high-bandwidth collaboration., • Build the Future: Join at the ground floor and play a pivotal role in shaping both the product and the company culture while solving complex, industry-wide problems., • Competitive Pay & Equity: Competitive compensation packages including significant equity ownership to ensure early hires benefit from the company's growth., • Comprehensive Health Insurance: Health insurance coverage provided for both the employee and their dependents., • Financial Wellness: A 401(k) plan is provided to help the team invest in their long-term financial future., • Onsite Benefits: Work from a Midtown Manhattan office with daily team lunches, dinners, and a fully stocked selection of snacks and beverages., • Quarterly Offsites: Opportunities to travel together every quarter to bond, brainstorm, and recharge as a team., • Early Impact: Join at a critical inflection point—past product-market fit, but before scaling takes over. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

Job Description About Us Applecart is the leading technology company that C-suites rely on to reach business-critical decision makers. The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders who matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart's platform uses publicly available data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those who matter most to them. We are hiring a Head of GTM Systems and Engineering in our New York City office. About the Role: The Head of GTM Systems & Engineering is the lead architect of our Revenue Operating System. Your goal is to move the organization away from manual, disconnected processes and toward a fully automated, logic-driven GTM machine. You will own the technical plumbing and orchestration layer that connects Marketing, Sales, and Success, ensuring that every lead, account, and opportunity moves through a perfectly engineered lifecycle. Reporting to the SVP, Revenue Operations, this will be a high impact role, helping drive profitable revenue growth. What You'll Do • Orchestration Layer: Design the high-level architecture that connects our core GTM tech stack. You own the State Machine of our revenue engine, defining exactly how data moves, changes, and triggers actions across our GTM stack., • Stack Consolidation & Modernization: Evaluate our existing tools through a performance first lens., • Advanced Lifecycle Orchestration: Architect the technical workflows that govern the entire customer journey. This includes complex round-robin routing, and post sales transition protocols., • Data Pipeline Ownership: Engineer the flow of GTM data from our CRM and engagement tools into the reporting layer. You ensure that every field required is automatically populated, formatted, and validated., • LLM-Powered Data Synthesis: Engineer automated pipelines that use LLMs to transform unstructured data (Gong transcripts, email threads, LinkedIn signals) into high-fidelity, structured CRM data. You will move the organization away from manual data entry toward a Zero-Entry CRM environment., • Agentic Workflow Design: Architect Agentic loops where AI agents perform autonomous GTM tasks such as automated account research, lead qualification based on custom ICP logic, and Next Best Action recommendations., • AI Stack Integration: Evaluate and implement the next generation of AI-native GTM tools and integrate them into the core GTM architecture., • Sandbox & Deployment: Implement a rigorous deployment process. No logic goes live without being tested in a sandbox to ensure zero disruption to GTM., • Systems Documentation: Maintain a technical Schema Map of our entire GTM engine so the organization understands the logic behind every automation., • The Architect Mindset: You don't see tools; you see logic gates, data schemas, and API endpoints. You are a systems thinker who builds for the 10x version of the company., • CRM Dual-Mastery: Expert-level technical knowledge of both Salesforce (Flow, Architecture) and HubSpot (Advanced Workflows, Custom Objects). You know exactly where the friction points are between these two platforms and how to solve them., • Expert proficiency in Make, n8n, Zapier, or similar enterprise-grade orchestration platforms., • Proven experience building workflows that call LLM APIs (OpenAI, Anthropic, or Gemini) to automate complex cognitive tasks., • Architect and maintain high-performance Data Activation (Reverse ETL) pipelines that bridge the gap between our Data Warehouse and the GTM stack. You will ensure that models built in the warehouse are pushed into CRM as actionable signals, not just static fields. Compensation: Our compensation package consists of three components: (i) a base salary, (ii) bonus / variable compensation and (iii) generous equity compensation. The base salary range for this role is between $200,000-$230,000, based on the candidate's experience and skills relative to the requirements listed in the "Who You Are" section above. In addition to the base salary, the bonus / variable compensation is based on individual, team and company performance. The salary range provided is exclusive of additional compensation that candidates will receive in the form equity compensation. The salary range provided for this role is specific to candidates located in the New York City area. A few facts about us: • Applecart's platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD., • Applecart is growing quickly — over the last 4 years, we've increased our revenue by 10X, grown our headcount by almost 5X, and we're cashflow positive., • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle's online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party's most successful pollsters and strategists, and alums of top-tier organizations like Bain & Company, Amazon and Simpson Thacher., • Applecart raised a $100M Series C from Blackstone's tech growth fund at the end of 2025. The company's other investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, CEO of TKO and Executive Chairman of WME, Wayne Berman, Blackstone's Head of Global Government Affairs, and Risa Heller, CEO of HELLER, serve on our board., • Our work has been featured on Morning Joe on MSNBC, BloombergTV, and The Colbert Report, and in Axios, Semafor, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

Job Description About Tru Identity Tru Identity is on a mission to make the process of importing goods into the US more simplified. We are re-imagining how trade compliance works; starting with the $4 trillion worth of goods imported into the U.S. every year. Tru Identity is enabling companies globally to get compliant before their shipments have even left the port of origin. Doing so allows them to maintain on-time deliveries, keep sales flowing, and expand internationally. We do this by helping importers, marketplaces and logistics providers automate all the complex regulatory compliance work that can slow trade down — saving significant time and money, eliminating fraud, and endless frustration. And though we've only really just got started, we're growing fast with commercial and government customers already secured. Joining now means you'll be part of our foundational team with huge impact. You'll have real ownership, a voice in shaping the products and a chance to help build something transformative from the ground up. We move quickly, stay focused, and value grit and creative problem-solving above all else. About the position We're looking for a seasoned Backend Engineer to lead the architecture and development of our scalable, intelligent systems incorporating powerful AI features. In this hands-on role, you'll use your proven software engineering abilities to design, implement, and maintain robust, high-quality backend APIs and services running on AWS as well as mentoring junior engineers as the team grows. You should be an excellent communicator and a natural problem-solver with a bias for action. Tech stack: Python, Django, NextJS, PostreSQL, pgvector, Qdrant, RAG, OpenAI, Langchain, CI/CD, Celery, BitBucket, Jenkins What will you do: • Lead backend architecture and development — Design and build scalable APIs, services, and async systems using Python, Django and Celery, • Own infrastructure and deployment — Manage and optimize AWS environments (EC2, ECS, Lambda, RDS) and build and maintain reliable CI/CD pipelines, • Develop intelligent, AI features — Integrate OpenAI, LangChain, and vector databases to deliver production-grade AI functionality, • Lead and mentor junior engineers through code reviews and provide technical guidance, • 5+ years of proven software engineering experience with a deep focus on backend., • Expert in Python/Django with a focus on performance and scalability, • Prior experience working in a fast-moving startup environment having taken a product from 0 → 1, • Proficient in AWS and infrastructure management., • Familiarity with observability tools (Sentry, Prometheus, etc.), • Knowledge of microservices and event-driven architecture, • Proven track record of designing and shipping production-grade AI features leveraging LLMs, LangChain, and Retrieval-Augmented Generation (RAG) pipelines., • $170K - $190K USD annually, • Generous PTO and holiday schedule, • 100% paid healthcare, • HSA benefits, • $1000 WFH stipend per year, • Stock options #LI-JM1 #LI-Hybrid Thank you for considering this opportunity. Funded.club Senior Recruiters partner exclusively with Startups and are in direct communication with hiring managers and founding team members. Funded.club uses AI-assisted tools as part of our candidate sourcing and screening process. All applications are reviewed by a human recruiter, who makes all decisions about which candidates to progress. If your application seems like a good fit for the position, a real member of our team will contact you soon!

Job Description Project Overview HireScale is partnering with an innovative organization looking to accelerate their AI capabilities and embed intelligent systems into core workflows. This engagement is built around rapid 0→1 product development—taking ideas from concept to working prototypes and MVPs with speed, precision, and real-world applicability. The focus is on shipping, not speculating. You’ll leverage AI-assisted development as a force multiplier—using modern tooling to compress build cycles, iterate quickly, and validate ideas in-market—without compromising on code quality, system design, or long-term scalability. This is a hands-on role for a consultant who can operate across the full lifecycle: • Rapidly translating ambiguous ideas into tangible prototypes, • Building MVPs that balance speed with solid engineering fundamentals, • Making smart trade-offs between velocity and technical rigor, • Establishing patterns that can evolve from prototype → production You’ll work at the intersection of product, engineering, and AI—bringing structure to fast-moving environments while maintaining a high bar for accuracy, performance, and maintainability. The end goal isn’t just to build something quickly—it’s to build the right thing, prove it works, and set the foundation to scale it. Scope of Work & Core Capabilities • Design and ship AI-driven solutions aligned to clear business outcomes, • Translate ambiguous use cases into fast, working prototypes and MVPs, • Build, test, and deploy scalable AI applications end-to-end, • Apply strong engineering fundamentals to balance speed, accuracy, and maintainability, • Optimize models, pipelines, and system performance for production readiness, • Leverage modern AI/ML frameworks and LLMs (OpenAI, Anthropic, LLaMA, Mistral), • Develop across Python, JavaScript/TypeScript, and SQL-based environments, • Utilize frameworks like LangChain, LlamaIndex, PyTorch, TensorFlow, FastAPI, and Node.js, • Deploy and manage infrastructure across AWS, GCP, or Azure using Docker and modern hosting platforms (Vercel, Netlify), • Work with vector databases and data systems (PostgreSQL, Pinecone, Weaviate, FAISS), • Collaborate with stakeholders and communicate complex concepts clearly, • Document solutions and enable clean handoff for internal teams Engagement Brief This consulting engagement is focused on delivering real, production-ready AI outcomes within a defined timeframe by balancing speed, scalability, and measurable business impact. It’s structured for experienced builders who can own execution end-to-end and deliver work that lasts beyond the engagement. • Target Outcomes: Production-ready AI solutions aligned to defined use cases, delivering measurable improvements in efficiency, accuracy, or cost, with scalable architecture and a clean handoff for internal teams, • Duration: 8–12 weeks, with potential extension based on outcomes, • Commitment: Full-service or fractional, depending on scope, • Budget: Flexible based on timeline, scope, and proposal, • Start Date: ASAP Portfolio Requirements: • 2–3 relevant AI/ML projects (production or near-production), • Demonstrated end-to-end ownership (problem → solution → outcome), • Clear evidence of impact (metrics, business results, or adoption), • Supporting materials such as GitHub, case studies, or technical write-ups preferred About HireScale HireScale is redefining how people and organizations grow and work together. We connect companies with top-rated independent consultants to build agile, highly skilled and resilient teams; while also empowering talent to shape their own paths and align meaningful work with personal freedom and purpose. Our goal is a future where opportunity is open, work is self-directed, and everyone thrives.

Job Description ON BOARD EXPERIENTIAL MARKETING On Board Experiential (OBE) is an award-winning, full-service, experience-led agency that creates meaningful brand experiences worldwide. We work out of our homes and physical offices in San Francisco, Los Angeles, and NYC, or wherever our adventures take us! Our clients include Nike, Meta, JPMorgan Chase, The Infatuation, Stripe, and OpenAI, to name a few. We know, "Cool, cool, but what's it like to work at OBE?" We thought you'd never ask. Event Marketer has recognized OBE as one of the best places to work in events and well, we couldn't agree more. The most important part of our business is our people. They are hardworking, brave and make magic happen on the regular. But under each majestic exterior is a human deserving of a healthy work-life balance. That's why we believe in recovery days, happy hours, friendly but competitive fitness challenges and company offsites. We conduct open meetings to facilitate discussions that heal, inspire, and bring us closer. We encourage each other to bring our whole selves to work. We want to hear about your lived experiences and unique perspectives. We don't just want you to be unapologetically you: it's part of the job description. We are considering candidates for any of our office locations: New York, San Francisco (Mill Valley), and Los Angeles. SUMMARY OF POSITION The Vice President, Design is a senior creative leader responsible for elevating OBE's design excellence, shepherding all design disciplines, and overseeing the development and delivery of world-class experiential, spatial, and integrated design work. Reporting directly to the Chief Creative Officer, the Vice President, Design leads a multidisciplinary team of designers, including 3D/environmental specialists, graphic and UX/UI designers, and visual storytellers to craft immersive, culturally relevant brand experiences that compete at the level of top design agencies. As both a visionary and operational leader, this individual ensures the design function is both innovative and strategically grounded. They bring deep expertise in environmental + 3D design, creative technology and interactive experience integration, and design execution (including fabrication, technical requirements, compliance best practices, etc.). They also have a proven ability to lead large, high-performing creative teams, and an extensive network of freelance and specialist talent nationwide. The Vice President, Design strengthens our design brand, inspires creative ambition across the organization, and ensures every project reflects extraordinary craft, clarity, and cultural insight. ESSENTIAL JOB FUNCTIONS Design Leadership & Strategic Direction • Lead the overall vision, quality, and execution of OBE's Design function, overseeing outputs across integrated design disciplines (spatial/environmental, graphic, interactive, digital, etc.), • Ignite imagination and push design limits by delivering and inspiring best-in-class experiential design., • Champion innovation, pushing design boundaries while maintaining brand integrity and strategic alignment., • Set and implement short- and long-term design goals aligned with agency growth and CCO's creative strategy., • Proactively track and apply design trends + thinking to maintain a cutting-edge, future-focused creative offering for OBE., • Oversee conceptual and visual direction for high-profile projects, ensuring all design work meets the highest standards of craft and creativity., • Lead select client projects, gaining client trust, selling in industry-defining design, and translating client objectives into strategic design solutions that elevate brand impact. Team Management & Department Leadership • Lead, mentor, and/or manage a design team of 10+ designers—fostering a culture of excellence, accountability, curiosity, and growth., • Articulate clear career paths and provide development plans plus ongoing feedback to strengthen team capability, growth, and morale., • Work with CCO and Creative Leadership to drive and develop department programming, including content for Creative Department Meetings and/or Design-specific trainings., • Contribute to hiring strategy and talent acquisition, helping attract top-tier design talent to OBE., • Expand, maintain, and grow OBE's bench of freelance and specialty designers; work with Creative Operations to activate this network quickly as needed for project demands. Cross-Functional Collaboration • Partner closely with Creative Directors, Strategy, Production, Technology and Account teams to ensure design thinking is fully integrated across all phases of work. Partner closely with Creative Directors, Strategy, Production, Technology and Account teams to ensure design thinking is fully integrated across all phases of client work., • Guide internal and client teams through all stages of design—from initials sketches and mood boards to final renderings and presentations to execution drawings and site maps., • Participate in leadership discussions, offering perspective on design innovation, creative process, and organizational growth., • Collaborate with Production to realize ambitious design concepts, maintaining design integrity from concept through execution., • Develop, direct and inspire compelling design concepts to win new business, including provocative pitch materials, resonant visuals, and clear executive presentations. Design Execution & Experiential Innovation • Ensure design concepts integrate cultural insight, user experience, visual storytelling, and technical feasibility., • Leverage deep understanding of brand experiences, environmental branding, creative technology and design execution to vet and integrate top vendors in partnership with Production., • Leverage expertise to balance creative ambition with practical feasibility, fostering an agile mindset across teams to deliver bold design on time and on budget., • Elevate and evolve design execution through quality assurance and control (materials evaluation, fabrication process audit, etc.), inspiring executional excellence and ensuring accuracy, craftsmanship, and on-brief delivery., • Oversee and/or lead on-site installation to maintain design excellence through delivery. Operational Excellence • Develop and refine design workflows, templates, tools, and standards to improve quality, efficiency, and cross-team collaboration., • Work with 2D design team lead to oversee software, hardware, and platform needs for the design team; advocate for new tools that strengthen creative output., • Review project budgets, timelines, hours assessments and SOWs to ensure design scopes appropriately outlined and budgeted, setting teams up for operational excellence and profitability., • As part of Creative Leadership, oversee team resourcing, staffing, and utilization, ensuring optimal balance of talent, workload, and quality. DESIRED SKILLS AND EXPERIENCE Education/Experience • 10+ years of design experience in experiential, environmental, architectural, or multidisciplinary creative roles., • 4+ years leading design / creative teams or running a design function within an agency, event production company or creative studio., • Proven experience managing a team designers / creatives or successfully running an agency/design studio., • A portfolio demonstrating exceptional experiential design work, architectural / 3D design expertise, integrated strategic thinking, compelling spatial storytelling and environmental branding, and thoughtful technology integration., • Bachelor's or Master's degree in Architecture, Design, Environmental Design, Creative Direction, or related field (or equivalent professional experience). Essential Knowledge, Skills, and Abilities • Mastery across key design disciplines including spatial/environmental design, 3D and architectural conception, experiential design, and visual storytelling., • Expertise in 3D design with advanced proficiency in modeling and rendering software (e.g. SketchUp, Rhino, Vray, Unreal Engine) and Adobe Creative Suite., • Passion for and familiarity with interactive experience design and implementation., • Strong understanding of fabrication processes, materials, production workflows, and feasibility considerations for brand experiences., • Ability to synthesize complex client needs into strategic, actionable design directions., • Exceptional communication and presentation skills, including the ability to persuade, inspire, and guide both internal teams and clients., • Skilled at managing multiple priorities in a fast-paced, creatively demanding environment., • Deep network of freelance creative resources, including 2D & 3D designers, production artists, CAD designers, creative technologists, content creators, lighting designers, art directors and stylists. Other Qualities and Skills • Inspirational leader who motivates teams through clarity, empathy, and creative ambition., • High energy, adaptable, and thrives in evolving, entrepreneurial environments., • Strong problem-solving capabilities with calm, grounded decision-making., • Naturally curious, culturally aware, and committed to pushing design excellence., • Hybrid in-office requirement: Must be based in and work from NYC, LA, or SF. On Board Experiential is An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

Job Description About LumiMeds LumiMeds is a fast-growing U.S.-based telehealth startup focused on weight management and long-term metabolic health. We are building the next generation of e-commerce and clinical infrastructure from the ground up. As an early-stage company, we move quickly, operate with limited layers, and expect high ownership from every team member. There is no bureaucracy here — decisions happen fast, priorities evolve, and builders thrive. We are a remote-first, globally distributed team that values clarity, accountability, and people who take initiative rather than wait for direction. Location: Remote (USA, Eastern Europe, Brazil) Seniority: Senior / Lead — Individual Contributor We are looking for an AI-native Product Manager who actively uses AI-assisted workflows in product discovery, documentation, analytics, and roadmap planning — and who thinks natively about how AI can transform both internal workflows and patient-facing experiences. Role Overview LumiMeds is a high-growth telehealth platform building the operating system for modern virtual care — an AI-accelerated clinical engine, a high-converting e-commerce storefront, a consumer mobile app patients open every day, and intake infrastructure that moves at the speed our patients expect. We move fast. We use AI to compress weeks into days. We expect extreme ownership — and we give it back to you. A high-leverage, zero-to-one and one-to-ten role simultaneously. You'll own LumiMeds' most critical product surfaces: • Consumer Mobile App — the habit-forming product patients return to daily, • E-commerce & Growth — storefronts, dynamic pricing, subscription engines, • Clinical Platform & AI — checkout → EMR → provider consultation flow You also think like an operator. You understand unit economics, LTV/CAC, funnel math, and margin — not as buzzwords, but as the lens through which you prioritize. You can explain why a feature matters in dollars, not just delight. The best PMs here are indistinguishable from senior engineers in technical conversations, and from founders in commercial ones. What You'll Actually Do • Write tickets AI coding agents can execute. Your specs are precise, structured, and unambiguous. Claude Code, Cursor, or a junior engineer can run with them without a 30-minute sync. Acceptance criteria, edge cases, API contracts — all there. Your tickets ship, not loop., • Ship with AI, not just talk about it. You prototype functional flows before engineering is involved. You read AI-generated code, spot where it breaks, and redirect. "Doing the work" includes spinning up a proof-of-concept in a day., • Prioritize for commercial impact. Every roadmap trade-off has a revenue, retention, or margin consequence. You can model it, defend it, and kill features that don't earn their place — even ones you championed., • Own interlocking systems end to end. E-commerce checkout → subscription lifecycle → clinical intake → mobile engagement loop. You understand the state machines deeply enough to catch edge cases engineering misses., • Engage at the architecture level. Opinions about API design, data modeling, and system reliability — backed by technical specificity, not product intuition. You've shipped on Next.js/Node.js and understand how front-end choices propagate downstream. What You'll Own • Consumer App — Mobile iOS/Android, daily-use health & treatment tracking, • E-commerce — Storefront, catalog, dynamic pricing, checkout, • Subscriptions & Billing — Recurring billing, lifecycle, dunning, • Clinical Platform — EMR integration, intake flows, provider UX, • AI Features — LLM-powered documentation, workflow automation, agentic ops, • 5+ years in PM (e-commerce, fintech, or healthtech) — or a strong engineering background with a shift into product, • Hands-on AI use — you've built prototypes, automated workflows, or compressed delivery cycles with LLMs yourself, • Technical depth in modern web stacks (Next.js, Node.js, REST/tRPC) — enough to write precise specs and push back in architecture reviews, • Commercial fluency — you can reason about LTV, CAC, margin, and conversion, and translate them into product bets, • Proven ability to write tickets AI coding agents and engineers can execute with minimal back-and-forth, • Experience owning subscription or order-lifecycle state machines, • Software engineer, technical co-founder, or CS grad who crossed into product, • Shipped something built with an LLM API (OpenAI, Anthropic) to real users, • Launched a consumer mobile app with measurable retention — bring the numbers, • Built in a regulated environment (HIPAA, SOC2), • Your tickets have been used directly as prompts for AI coding tools and it worked, • Hard problems., • Real-time data, complex billing, high-stakes reliability, patient experience that can't break., • AI-native from day one., • Our engineers use AI coding agents in production. We expect our PMs to do the same.Small team, massive leverage., • You'll be in the work — fingerprints on everything., • Patient health outcomes, revenue, and company trajectory. Not vanity metrics. How to Apply If this role sounds like a fit, we'd love to hear from you. Please submit your application in English and ensure your resume reflects relevant experience for the role. This position is open to candidates based in approved locations, depending on the role and business needs. Qualified applicants will be contacted for next steps. LumiMeds is an equal opportunity employer. We hire based on skills, experience, and alignment with our values. Please note: This role requires professional-level English communication and availability to work U.S. business hours.

Additional tasks (as needed): Draft or revise campaign documentation, examples, QC checklists, and “good vs. Pharmacy Expert / Domain Eval QC Lead This is a contract opportunity working directly with our client, OpenAI! This contractor will support the Frontier Evals team in executing a high-pri

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them—from the moment they start searching for tickets to the moment they're walking into the venue. At StubHub, we're not just selling tickets; we're elevating the entire live event experience. Fans come to us to discover, buy, and sell tickets to the events they love—and our engineers make that experience fast, intuitive, and trustworthy across web and mobile. This role is designed for new graduates who want hands-on production experience, strong mentorship, and exposure to modern engineering practices, including AI-assisted development and GenAI tools in a collaborative team environment. You'll work closely with Senior Engineers and SDE IIs, shipping meaningful features while leveling up quickly. Location: Hybrid (3 days in office / 2 days remote) — New York, NY About the Team: The Consumer Experience team owns the end-to-end journey for millions of fans discovering, buying, and selling tickets on StubHub's web and mobile platforms. Every search, recommendation, checkout flow, and confirmation page is built by our teams. We operate at global scale, serving fans across 60+ regions and 30+ languages with fast, localized, and reliable experiences during high-demand moments. This is high-impact engineering with real-time traffic spikes and complex distributed systems challenges. Our teams are deeply cross-functional, with engineering, product, design, and data working in true partnership and shared ownership. Engineers influence strategy, shape roadmaps, and have direct access to experimentation and insights that guide decisions. We build across the full stack, choosing tools and technologies that help us move quickly and deliver quality at scale. We are relentless about understanding fans, using data and rapid iteration to raise the bar on every release. If you are excited to build products used by millions, solve meaningful technical challenges, and define the future of live event commerce, we would love to build with you. What You'll Do: • Build AI-first consumer product experiences, • Invent and ship new ways for fans to discover and buy tickets using AI-powered product thinking and tooling., • Prototype quickly, validate ideas with data, and iterate into polished experiences that feel simple and delightful., • Integrate AI into how we build, • Use GenAI tools (e.g., Claude, OpenAI) to accelerate the full development lifecycle: brainstorming and design exploration, code generation, test planning, debugging, documentation, and drafting PRs., • Apply AI to analysis and iteration—summarizing qualitative feedback, spotting patterns in product behavior, and turning insights into concrete improvements., • Deliver features at global scale, • Build and evolve high-traffic web and mobile product surfaces used by millions of fans., • Contribute to systems and APIs that support personalization, localization, experimentation, and reliable performance across regions., • Learn fast with strong mentorship, • Recent graduate or software engineer with up to ~1 year of experience (including internships, co-ops, or substantial academic projects)., • Strong CS fundamentals (data structures, algorithms, and core programming concepts)., • Basic experience building user-facing applications and/or consuming APIs., • Product impact: You'll ship directly to fans and see your work in the core StubHub experience., • AI-first culture: We don't treat AI as a demo—we use it to build better products and to build faster, across ideation, analysis, implementation, and iteration., • Experimentation mindset: We run tight loops: build → measure → learn → improve., • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.

Job Description Role Summary: We are seeking a highly skilled Technical Lead to drive the design, development, and optimization of AWS-based contact center and backend solutions. This role will focus on Amazon Connect and related AWS services, serving as a hands-on leader responsible for architecture, integrations, and technical excellence across customer engagement platforms. Key Responsibilities: Architecture & Design • Define and own the technical roadmap for Amazon Connect and related systems., • Architect scalable, secure, and resilient cloud-based contact center solutions., • Lead modernization and migration from legacy telephony platforms to Amazon Connect., • Oversee and guide a scrum team of developers through project delivery. Development & Integration • Design and build IVR/contact flows, Lex bots, routing logic, and voice/chat automation., • Integrate Amazon Connect with Salesforce, ServiceNow, and other enterprise systems., • Develop event-driven applications using AWS Lambda, API Gateway, DynamoDB, EventBridge, and Kinesis., • Implement AI-powered automation using Amazon Bedrock, OpenAI, or LangChain., • Train and mentor engineers transitioning into Amazon Connect development. Operations & Support • Oversee production stability, incident response, and performance tuning., • Conduct root-cause analysis and maintain observability via dashboards and SLIs/SLOs., • Ensure system reliability and compliance with security and IAM standards. Leadership & Collaboration • Lead and mentor cross-functional teams across development, data, and infrastructure., • Partner with network/security teams to uphold QoS and compliance requirements., • Provide tools and dashboards for business and operations reporting. Required Skills & Qualifications: • 10+ years of experience in telephony, contact center, or AWS backend development., • 3+ years hands-on experience with Amazon Connect (preferred)., • Strong AWS expertise: Lambda (Node.js/Python), API Gateway, DynamoDB, S3, CloudWatch, and IAM., • Experience integrating Salesforce Service Cloud Voice or similar CRM systems., • Familiarity with SIP, RTP, PSTN, QoS, and packet loss mitigation., • Strong understanding of REST/GraphQL APIs, JWT, OAuth, and SAML., • Proficiency with Terraform, CloudFormation, Git, and CI/CD tools., • Excellent communication, leadership, and stakeholder management skills. Preferred Certifications: • AWS Certified Solutions Architect or Developer, • Salesforce Service Cloud or Omni-Channel Certification

Job Description AI Analyst New York City, NY (On-site) Entry-Level Opportunity for Recent Graduates Simulmedia is transforming the way brands, marketers and agencies reach audiences. Our leading advertising platform, TV+, allows clients to unlock new viewers across linear TV, CTV, and PlayerWON enables reach in video games. Meanwhile, our innovative Skybeam platform makes it easy for any brand to be on TV and have all of the tools needed for planning, execution, and post-campaign optimization. We seek an entry-level AI Analyst to join our team to research, prototype and implement AI solutions for our products and processes. The ideal candidate will be passionate about Generative AI and Large Language Models (LLMs), with a self-starter mentality and the ability to quickly learn and adapt in this rapidly evolving space. Responsibilities● Research and evaluate emerging AI technologies and tools with potential applications for our business● Prototype AI-powered solutions to enhance our products and improve internal workflows● Implement and deploy production-ready AI capabilities that create measurable improvements● Lead the rollout of successful AI solutions to teams across the organization● Provide hands-on support and troubleshooting during implementation phases● Collaborate with cross-functional teams to understand business needs and develop AI-driven solutions● Stay current with the latest developments in GenAI, LLMs, and related technologies● Document findings, implementations, and best practices for AI applications● Train and educate team members on effectively leveraging AI technologies● Create and deliver presentations to stakeholders highlighting AI implementation and business impact● Analyze the impact of AI implementations and make data-driven recommendations for improvements Qualifications● Bachelor's degree in Computer Science, Business, Data Science, or related field● 0-2 years of professional experience (personal projects, coursework, and self-directed learning highly valued)● Demonstrated passion for GenAI and LLMs through personal projects, online courses, or contributions● Basic understanding of machine learning concepts and natural language processing● Experience with AI platforms and tools (e.g., OpenAI, Anthropic, Hugging Face, etc.)● Familiarity with programming languages commonly used in AI applications (Python, JavaScript)● Experience taking projects from concept to implementation in a collaborative environment● Strong business acumen with the ability to identify AI solutions that drive tangible business value● Excellent presentation skills and ability to communicate complex AI concepts to business stakeholders● Experience creating compelling presentations and documentation for technical and non-technical audiences● Strong problem-solving abilities and a curiosity-driven approach to learning● Self-motivated with the ability to learn independently in a rapidly changing field● Enthusiasm for teaching others and sharing knowledge about AI applications This role offers an exciting opportunity to work at the forefront of AI innovation within the ad tech space. The ideal candidate will be passionate about exploring how AI can transform our business, eager to continuously expand their knowledge, and excited to share that expertise with others across the organization.We're required to include a reasonable estimate of the compensation range for this role. Compensation decisions are dependent on the unique facts and circumstances of each case, but a reasonable estimate of the current base range for this role is $50,000 - $60,000. Note that this range is specific to national metro areas and that offers take into account a wide variety of potential factors considered in compensation, including but not limited to skill, qualifications, accomplishments, experience, credentials, and business needs. Simulmedia offers competitive pay relative to its peers plus a wide range of best-in-class, comprehensive, and inclusive employee benefits. To learn more, visit our Careers Website. Check out our Excellent Benefits & Perks● Fully paid premiums for employees medical, dental, vision, short-term disability, long-term disability and life-insurance coverage for full-time employees ○ Medical by UnitedHealthCare ○ Dental by Guardian ○ Vision by EyeMed● Pre-tax plans for medical flexible spending, dependent care and transit/parking● One-day-per-week remote schedule and flexible hours for better work/life balance in our New York office● Flexible paid time off (PTO)● Sick time off● Extensive holiday schedule● Generous parental leave policies after a year of service● Phone and Data reimbursement program● Fully paid Citi Bike membership and helmet stipend with Seamless+ and Lyft Pink● Pet-friendly office● Monthly happy hours, quarterly team building, plus tons of other fun events!● Park Avenue office with 360-degree views and fully stocked kitchens Simulmedia prioritizes diversity and representation in recruiting, embraces people of all backgrounds and works to create an inclusive culture to help all of our people thrive. We provide equal employment opportunities to all individuals regardless of their race, color, creed, religion, gender, age, sexual orientation, height, weight, national origin, disability, veteran status, or any other characteristic protected by state, federal, or local law. Discrimination of any type is not tolerated at Simulmedia. This policy applies to all terms and conditions of employment, including recruiting, hiring, promotion, termination, time off, and compensation. Simulmedia is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at . We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.