Role Description We’re looking for a Senior Full-Stack Software Engineer with deep expertise in Next.js, TypeScript, PostgreSQL/Supabase, and AI-assisted development to design, build, and deliver the scalable, secure systems behind our cybersecurity platform. This is a hands-on, product-focused role for an engineer who: - Thrives at the intersection of secure software engineering, data-heavy systems, and product innovation - Is fluent in AI tooling (Cursor, Devin, Copilot, etc.) and knows how to turn them into real velocity — not toys - Can design full-stack solutions, think strategically about risk and performance, and help us move business logic closer to the data layer (Postgres + Supabase) What You’ll Do - Full-Stack Development: Build and maintain secure, scalable web applications using Next.js/React, TypeScript, and Node – backed by PostgreSQL on Supabase (and AWS RDS during migration). Own features end-to-end from UI to database. - Database-Centric Application Logic: Design and implement business logic close to the data using Postgres functions, views, triggers, Row-Level Security (RLS), and Supabase Edge Functions, minimizing unnecessary middleware and enabling high performance and strong data isolation. - AI-Accelerated Development: Treat tools like Cursor, Devin, GitHub Copilot, and agent frameworks as core parts of your workflow. You'll use them to scaffold and refactor full-stack features, generate and evolve schemas, migrations, and RLS policies and build internal agents that automate repetitive engineering tasks and glue systems together. - Application Security First: Embed security best practices into every layer of development — from secure coding and dependency management to data protection and authentication/authorization (Supabase Auth, OAuth2/OIDC, SSO). Collaborate with security researchers to ensure features align with threat models. - Product Collaboration: Work hand-in-hand with product managers and designers to translate customer pain points into impactful, intuitive features. Participate in product discovery and help shape roadmaps with a strong technical and data-informed perspective. - Architect & Scale: Design and optimize API contracts, edge endpoints, and event flows using Next.js (server components, API routes) and Supabase (Edge Functions, real-time). Consider performance, resiliency, and multi-region deployment (read replicas, data partitioning) as first-class concerns. - Data Expertise: Model and optimize relational data in PostgreSQL for large, multi-tenant workloads. Own indexing strategies, query performance, and data partitioning approaches to support 10x–30x growth in customers and data. - Security-Integrated DevOps: Support automated testing, CI/CD pipelines, database migrations, and vulnerability scanning throughout the development lifecycle. Work closely with infrastructure engineers on Supabase + AWS environments, observability, and performance tuning. - Mentorship & Collaboration: Provide guidance and thoughtful code reviews to peers, fostering a culture of quality, security, and ownership. Help raise the bar on full-stack, data-centric, and AI-native engineering practices. - Continuous Learning: Stay ahead of trends in AI-assisted engineering, agentic systems, application security, Next.js, and modern Postgres/Supabase practices, and share what you learn with the team. Qualifications - Senior Full-Stack Engineer with experience building and shipping production web apps using Next.js/React, TypeScript, PostgreSQL, and a Node-based backend - AI-native developer who regularly uses AI-assisted dev tools (e.g., Cursor, Copilot, Devin) to move faster, improve code quality, and explore design options, and knows when to verify output - Strong backend and data modeling skills in Postgres; experience with Supabase (Auth, RLS, Edge Functions, migrations) or similar Postgres-based platforms is a plus - Security-conscious engineer with a solid understanding of secure web application development, authentication/authorization, and modern security best practices; familiarity with software supply chain security or interest in learning quickly - Experience deploying and operating applications in the cloud (ideally AWS), with working knowledge of Docker, CI/CD, and modern managed or serverless platforms - Product-minded and collaborative, balancing technical rigor with user and business needs, caring about testing and maintainability, and communicating clearly in a remote, cross-functional team Your 90-Day Success Path - 30 Days: Ship small full-stack features in our Next.js + Supabase stack; learn our security and data architecture; demonstrate effective use of AI tools + agentic workflows in your day-to-day work. - 60 Days: Own and deliver secure, high-impact features end-to-end; contribute to schema and API design; help refine patterns for RLS, migrations, edge functions, and internal AI/agent tooling. - 90 Days: Lead new initiatives, drive improvements in performance and security posture, shape our full-stack and AI-native architecture, and mentor peers on Next.js, Supabase, and AI-accelerated development. Our Tech Stack - Languages: TypeScript, JavaScript, Python - Frontend: Next.js, React - Backend / Platform: Supabase (PostgreSQL, Auth, Edge Functions, Storage), Node/TypeScript services - Data: PostgreSQL (Supabase + AWS RDS during migration), Redis - Auth & Security: Supabase Auth, OAuth2/OIDC, GitHub, Trivy, Snyk - Infrastructure: AWS, Docker, Kubernetes (for supporting services), modern CI/CD - AI Tools: Cursor, Devin, GitHub Copilot, and modern agent frameworks where appropriate Benefits - Investment: We offer learning stipends to support your professional development - Equity: We offer equity so you can share in our growth and success - Help solve some of the most pressing cybersecurity challenges facing connected device manufacturers and the millions of people who depend on them Compensation Our salary ranges are categorized into two tiers based on geographic location: - Tier 1 (San Francisco, New York, Seattle): $227,000 - $270,000 - Tier 2 (All Other Locations): $181,000 - $216,000 The final base salary will be determined by experience, skill set, and specific location. In addition to base pay, this role is eligible for equity and benefits. Company Description At Finite State, we're on a mission to secure the connected world. Our platform empowers product security teams to detect vulnerabilities, manage software supply chain risks, and ensure compliance across complex device ecosystems. From IoT to critical infrastructure, we provide unparalleled visibility into firmware and software components, helping organizations protect their products and customers. - We move with urgency and intent — we’re transparent, own outcomes, put customers first, speak up, and learn fast — turning evidence into action. - CLARITY is how we move fast without breaking trust. - C: Customer first - Learn from customers. Ship with urgency. - L: Leverage - Outsource the routine. Own the result. - A: Agency - We take responsibility—end to end. - R: Results - Ship value. Improve fast. - I: Integrity - Speak up. Experiment boldly. Be kind. - T: Transparency - Clear context. Faster decisions. - Y: "Why" - Our mission—securing the connected products humanity depends on—is the reason Finite State exists. CLARITY is how we make that mission real, every day, at speed. Bold Innovation – We push boundaries, explore new ideas, and take initiative to solve complex problems. The Finite State platform brings visibility and control to the supply chains that create connected devices and embedded systems—all in a simple to use platform and at the scale manufacturers need to keep device production on time and on budget. We are proud to be an Equal Employer 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. Finite State is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

• Lead the design and delivery of AI-powered product features from idea to production • Build LLM-based systems for coaching insights and real-time recommendations during calls • Architect systems that support low latency and large-scale AI use cases • Define and implement AI and ML best practices across the engineering org • Partner with Product and Engineering to identify high-impact AI opportunities • Build scalable data and feature pipelines to support AI use cases • Establish evaluation, monitoring, and feedback loops to improve model performance • Mentor engineers and raise the bar on applied AI engineering practices

• Define the foundational architecture for enterprise agentic AI at Benchling. • Write production code at least half your time, particularly during the team's first year. • Build for multi-tenant isolation, secrets management, audit logging, payload encryption, role-based access controls. • Coach power users and departmental teams on production patterns. • Work closely with our Data, Analytics & Systems team peers on the source-of-truth datasets and pipelines. • Set the bar for code quality, testing and evaluation, documentation, and on-call practices.

Role Description The Genesys AI Architect is a senior presales AI specialist who operates across three core motions: - Driving strategic AI opportunities with customers and sales teams - Scaling the field through reusable assets, technical enablement, and coaching - Shaping product and go-to-market direction through real-world customer and field feedback This role requires a blend of deep AI technical acumen, exceptional sales, communication, and executive storytelling skills, and the ability to translate complex capabilities into clear, actionable business value. Key Responsibilities: - Design end-to-end AI systems for customer experience use cases. - Architect reliable, production-ready AI solutions that go beyond prompt design, combining LLMs, deterministic workflows, tools, and orchestration layers. - Define how AI interacts across the full journey (self-service, agent copilot, journey management, and back-office automation), including fallback strategies, human handoff, and failure handling. - Optimize retrieval-augmented generation (RAG) and knowledge architectures to extend Genesys solutions where required. - Design scalable knowledge and retrieval strategies that ground AI responses in enterprise data. - Develop approaches for content structuring, chunking, embedding, and ranking to ensure accuracy, relevance, and freshness. - Partner with customers to align AI outputs with trusted knowledge sources while balancing performance, latency, and governance requirements. - Establish AI evaluation frameworks and quality measurement strategies. - Define how success is measured for AI-driven experiences, including accuracy, containment, customer satisfaction, and business impact. - Create test sets, evaluation methodologies, and feedback loops to continuously improve performance. - Translate technical quality metrics into business-relevant outcomes to support customer decision-making and adoption. - Engineer contextual AI experiences that leverage real-time data and conversation state. - Design how AI systems incorporate dynamic context such as customer data, interaction history, and external signals. - Optimize context management and prompt structure to maximize relevance while managing token limits and response quality. - Ensure AI interactions remain coherent, personalized, and aligned across channels and touchpoints. - Design for scalability, latency, and cost efficiency in enterprise environments. - Evaluate and optimize AI solutions for real-world constraints, including response time (especially for voice), throughput, and cost at scale. - Make informed tradeoffs across model selection, caching strategies, and architecture patterns to deliver performant and economically viable solutions. - Ensure designs meet enterprise expectations for reliability and responsiveness. - Leverage expert-level knowledge of Genesys AI capabilities to articulate and demonstrate product value to customers and prospects. - Support pre-sales activities such as technical discovery, solution design, product demonstrations, sandbox/trial engagements, AI integration guidance, and value assessments. - Design and deploy AI prototypes in sandbox and/or customer development environments to validate use cases, integrations, latency, and success criteria, and to highlight the differentiated value of Genesys AI. - Partner with account teams and Professional Services to transition successful prototypes into production pilots supporting technical handoff, hardening, KPI alignment, and business outcome validation. - Build integrations to third-party systems via RESTful APIs and emerging interoperability patterns such as MCP and A2A showcasing the art of the possible with Genesys Cloud AI solutions. - Develop reusable technical assets and enable Solution Consultants, partners, and account teams through workshops, coaching, and scalable technical content. - Provide technical feedback and strategic insights to Product Management and Engineering on AI product design, implementation considerations, and customer-driven enhancements. - Influence CIO/CTO-level stakeholders and position Genesys as integral to an organization’s broader IT and transformation strategy. Qualifications - AI Architecture & Technical Judgment: Hands-on experience designing modern AI solutions for customer experience orchestration and contact center use cases using the right mix of classic ML, NLU/NLP, retrieval-based systems, LLMs, orchestration patterns, tool use and agentic approaches. - Enterprise Integration & Real-Time Design: Expertise integrating AI solutions with enterprise platforms, knowledge sources, RESTful APIs, event-driven architectures, identity systems, and broader cloud ecosystems. - Evaluation, Governance & Observability: Ability to define AI evaluation strategies, success metrics, and monitoring approaches across offline and online testing, retrieval quality, tool-call accuracy, safety, drift, auditability, and cost control. - Executive Communication & Field Enablement: Strong ability to translate complex AI architectures into clear business value for technical and executive stakeholders. - Prompt Design & AI Workflow Optimization: Practical experience designing prompts, context strategies, and orchestration flows as part of a broader system architecture. - Technical Demonstration Prowess: Proven ability to create, deliver, and adapt compelling technical demonstrations and presentations that clearly articulate AI integration points and business impact. - Sales Acumen: Demonstrated success partnering with sales teams to understand customer challenges and provide AI-focused technical solutioning. - Business Value Orientation: Ability to identify opportunities for process optimization and recommend AI-driven solutions that enhance customer outcomes and operational efficiency. - Executive Presence: Proven ability to influence CIO/CTO decision-makers. - Strong understanding of the Genesys Cloud platform and Genesys AI preferred. Requirements - This is an active opening at Genesys. - We use Artificial Intelligence to support the hiring process, but every application is reviewed by our Talent Acquisition team. - Compensation: This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location. - This role might also be eligible for a commission or performance-based bonus opportunities. - Compensation range: $141,600.00 - $185,900.00 Employee Referrals - If a Genesys employee referred you, please use the link they sent you to apply. Reasonable Accommodations - If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at reasonable.accommodations@genesys.com. - You can expect a response within 24–48 hours. Company Description Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud™ is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.com .