Role Description Picarro is looking for a Design Engineer to own the design portfolio across our Industrial Solutions products. This is a hands-on role for someone who thinks in systems, sweats the details, and can move fluidly between design and code. Shaping how our products look, feel, and behave from prototype through production. Good design at Picarro means something specific: our users are compliance managers, EHS leads, and field operators making high-stakes decisions under real-world constraints. We care about clarity, trust, and workflow efficiency — not engagement or delight for its own sake. You will define and maintain design standards across Industrial Solutions, contribute directly to prototypes, and make production code contributions that bring designs to life. You will work closely with PM and engineering to ensure design intent survives the handoff, ensuring that what ships matches what was envisioned. Responsibilities - Design Ownership: Own the design portfolio for Industrial Solutions, establishing and maintaining visual, interaction, and workflow standards across all products. You are the voice of design quality on the team. - User Research & Workflow Design: Deeply understand how industrial customers, compliance managers, EHS leads, and field operators work. Map user journeys, identify friction, and translate complex operational workflows into product experiences that are intuitive under real-world conditions. - Prototype Development: Collaborate with PM to build and refine product prototypes. You contribute, shape, and raise the quality bar before engineering picks work up. - Production Contributions: Make targeted code contributions in production to implement or refine UI and interaction patterns. You bridge the gap between what design specifies and what engineering delivers. - Design Review: Review production PRs for design and UX fidelity. Catch drift between intent and implementation before it reaches customers. - Design System Stewardship: Own and evolve the design system for Industrial Solutions, including components, patterns, and documentation to ensure consistency across the product surface. Qualifications - Bachelor’s degree in Computer Science, Software Engineering, Design, HCI, or a related field. - 3–5 years of experience in a design engineering, UX engineering, or product design role. - A portfolio of shipped product work — we want to see what you’ve built, how you think, and how your design decisions held up in production. - Demonstrated ability to design and document complex user workflows, not just screens. - Strong visual and UX design sensibility with the vocabulary to clearly articulate design decisions. - Proficiency with Figma for user flows, wireframing, prototyping, and handoff. - Proficiency in React, TypeScript, and Tailwind CSS; you can read, write, and contribute to production code. - Experience owning or contributing to a design system. - Comfortable working closely with both PMs and engineers — you can speak both languages. - AI-forward mindset with hands-on experience using AI tools in your design and development workflow. Preferred Qualifications - Experience designing for data-dense, industrial, or enterprise environments where users are managing complex operational workflows. - Comfort working with user research outputs, synthesizing interview findings, usability results, and journey maps to inform design decisions. - Experience building prototypes that informed real engineering work, not just mockups. - Exposure to backend systems sufficient to understand technical constraints on design decisions. - Experience with or understanding of AI agents applied to design or frontend development workflows. - Prior experience in a startup or high-growth technology company. Salary & Benefits The base salary range for this full-time position is $130k-$170k, commensurate with experience, qualifications, and location. Total compensation includes base salary, bonus eligibility, and equity. - Medical, Dental, and Vision insurance - Flexible Spending Account (FSA) and Health Savings Account (HSA) plans - Life, Short-Term Disability, and Long-Term Disability Insurance - Flexible Vacation Policy and Paid Holidays - Employee Referral Program - 401K - Social events (summer picnic, holiday party, team lunches, etc.) - On-site Health & Wellness programs (fitness challenges, outdoor bootcamp, flu-shots, etc.)

We are rebuilding biotech for the AI era. When a breakthrough is delayed, the world waits. Getting a molecule from discovery to patients, or a crop from lab to field, involves thousands of slow, manual, disconnected steps. AI has the potential to change this, compressing decades of R&D work into years. But that only happens when clean, structured scientific data and AI are built into how science gets done. Benchling is the AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 scientists around the world trust Benchling to power their most important work, from academic labs to Sanofi, Moderna, and more than half of the world's top 50 biopharma. We’re building an AI scientist for our customers. We can’t do that if we haven’t built the muscle ourselves. AI fluency is the foundation we build on; it's core to how we work, and we're committed to helping every new hire integrate it into their day-to-day. As part of our interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today. ROLE OVERVIEWWe are seeking an Enterprise Solutions Architect with deep expertise in life science R&D and enterprise software systems to partner with Benchling's customers in driving the biotech revolution forward. The Enterprise Solutions Architect serves as a strategic advisor and technical leader for our enterprise customers, translating their IT strategy into tailored Benchling solutions. This role encompasses guiding organizations through digital transformation, leading technical implementation projects, overseeing solution architecture, and establishing best practices and data architecture standards to ensure long-term success. RESPONSIBILITIESPartner with biotechnology organizations at the forefront of innovation to assess their IT landscape, understand strategic objectives, and architect solutions that enable mission-critical outcomes - Lead end-to-end implementation projects from discovery through successful go-live and adoption - Provide ongoing strategic guidance, best practice education, and product engagement recommendations to maximize customer value realization - Collaborate with cross-functional business and technology stakeholders to gather requirements, identify opportunities, and translate business needs into technical solutions in partnership with internal engineering, product, and solutions architecture teams - Coordinate with Professional Services, Product, and Customer Success teams to orchestrate complex, global enterprise deployments - Support Sales and Marketing in technical deal strategy, and engage with Engineering, Product, and Solutions Architecture teams to resolve complex technical challenges - Contribute to the development and refinement of global enterprise processes, product capabilities, and best practice frameworks QUALIFICATIONSRequired - 5-10+ years of combined experience in biotechnology or pharmaceutical industry roles and scientific software implementation - Bachelor's or Master's degree in Life Sciences, Information Management, or related field (advanced degree preferred) - Proven track record leading global implementation teams in enterprise solution design and deployment (Benchling experience strongly preferred) - Demonstrated ability to empathize with scientists and rapidly comprehend complex scientific concepts and workflows - Exceptional communication skills across verbal, written, and presentation formats, coupled with strong organizational and project management capabilities - Self-directed, adaptable professional who thrives in dynamic, fast-paced environments - Comfortable operating across functions, organizational levels, and geographies with diverse stakeholder groups - Willingness to travel to customer sites up to 30% based on project requirements Preferred - 5+ years of client-facing software implementation and/or consulting experience, with demonstrated success delivering enterprise-scale SaaS projects - Hands-on experience implementing scientific/informatics platforms such as LIMS, ELN, MES, LES, and analytical tools including JMP, Spotfire, or Tableau HOW WE WORKWe offer a flexible hybrid work arrangement that prioritizes in-office collaboration. Employees are expected to be on-site 3 days per week (Monday, Tuesday, and Thursday). #LI-Hybrid #BI-Hybrid #LI-EN1 Benchling welcomes everyone. We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences. We are an equal opportunity employer. That means we don’t discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We also consider for employment qualified applicants with arrest and conviction records, consistent with applicable federal, state and local law, including but not limited to the San Francisco Fair Chance Ordinance.

Role Description We are hiring a GTM Engineer to own top of funnel: the data and automation engine that finds the right people at the right moment and turns them into meetings. Paires is an AI-first fundraising platform. We pair founders with the right investors from a large, engaged global investor network, then run the warm outreach that turns into meetings. It is a two-sided platform, live with paying clients, profitable and self-funded, built by a small, senior, flat team that ships fast. The role involves: - Owning top of funnel and the engine behind it. - Ensuring the best deals reach us at the right time. - Engaging new investors when we have something valuable for them. - Building partnerships that open doors on their own. - Running at real scale with a focus on relevancy over volume. - Researching every touch to ensure it's worth the other person's time. - Nurturing relationships for the long run. - Building systems that find the right people and catch the right moment. - Keeping the engine running around the clock without quality slipping. Qualifications - Have owned top of funnel somewhere and driven new meetings, regardless of title. - Have worked one ICP deep and long, navigating tough sales cycles. - Know your numbers from memory: volume, reply rate, booked rate, and what you refused to send. - Write real code: scripts, APIs, n8n, Clay, and Claude Code with MCPs all count. - Strong SQL or Python skills are a bonus, not a requirement. Requirements - Experience in owning top of funnel processes. - Ability to work deeply with one ICP and manage challenging sales cycles. - Strong understanding of key metrics related to outreach. - Proficiency in coding and data management tools. Benefits - Fully remote and asynchronous work environment. - Flexible hours with some overlap with US Eastern time. - Meetings batched on Mondays and Thursdays, allowing for deep work the rest of the week. - Access to the best AI tooling, including paid tools like Claude Code and Cursor. - Collaboration with our GTM lead. Company Description Paires is an AI-first fundraising platform that connects founders with the right investors from a large, engaged global investor network.

Role Description We're looking for engineers who are AI-native, have real fundamentals in programming, data, and systems, and have the judgment to get the most out of LLMs - and know where they break. The work spans enterprise document processing, workflow automation, computer vision, and financial research tooling, across finance, healthcare, and enterprise clients. This is a role for someone who ships, owns outcomes, and wants unusual amounts of responsibility early. What You’ll Do - Own AI product builds end to end, from concept through production, on a client engagement. - Decide what to build and how: gather requirements, pressure-test what stakeholders ask for, and prioritize the work that matters. - Prototype fast with LLMs, then harden into production with the data pipelines, integrations, and evals that make it trustworthy. - Do the data engineering enterprise work requires: ingestion, data modeling, and ETL. - Serve as the primary technical contact for clients - talk shop with their engineers and give their executives clarity. - Instrument what you build (analytics, funnel metrics, error analysis) and iterate on real usage, not assumptions. - Own reliability, security, and cost: auth, secrets, PII handling, and not blowing up the cloud bill. - Write up what you learn; for the team, for clients, and publicly. Qualifications - Strong engineering fundamentals: programming, debugging, and system design. You think well beyond the happy path. - You've shipped something real with an LLM that got actual usage - ideally with error analysis and evals on your outputs. - Data engineering: data modeling and architecture, plus ETL/pipeline experience (Airflow, Dagster, Inngest, Prefect, or similar). - Web and infra fundamentals: auth and web security, profiling slow queries (N+1, unnecessary joins), CI/CD, and cost-aware deployment on a major cloud. - You use modern AI tooling (e.g., Claude Code) daily, with customized workflows. - High agency: you frame ambiguous problems, state your assumptions, and push work forward without being managed. - Strong writing and a high say:do ratio - you can turn a long, meandering client call into a clean set of tickets. Nice To Haves - Depth in one of our core verticals: financial services, healthcare, or enterprise / contact-center AI. - Comfort being client-facing at a senior level. - Fluency in and preference for TypeScript - much of our stack is full TS. - You've built observability for an AI product. - You're plugged into the applied-AI community. Why This Role Is Hard To Fill Most engineers land on one side of a line. Strong classical engineers often haven't built the judgment to know what LLMs can and can't do. Fast "vibe coders" can spin up a demo but can't debug it once it hits real data, real scale, or a real security requirement. We need both - plus the product sense and agency to run a client build largely alone. Someone who needs clean requirements and heavy supervision won't thrive here, and neither will someone whose work falls apart the moment it leaves the happy path. You Might Be A Fit If - You've built and deployed something 0→1; shipped it, got real usage, and iterated. - You're T-shaped: deep in one area (ML, full-stack, data, or security) and rounding out the rest. - You've been the solo or founding engineer on a product and owned outcomes, not just tickets. Logistics - Fully remote. We have team members across North America and internationally, mostly overlapping North American time zones. Work when and where you want, as long as the work gets done. - Full-time or contract depending on the engagement. - Compensation calibrated to your location and seniority - we'll talk comp and align on specifics early.