Product Designer, Chemistry
Benchling, Inc. · Boston, MA · Design and UX · posted 3 days ago
Benchling, Inc. · San Francisco, CA · posted 61 days ago
By AtiveSite · Published 07/11/2026 · Updated 09/11/2026 · Every figure is linked to its source below.
| Employer | Benchling, Inc. |
|---|---|
| Location | San Francisco, California |
| Field | Technology › Software engineering |
| Level | not stated |
| Source category | Engineering, Engineering: Security |
| Posted | 2026-09-09 (61 days ago) |
| Work arrangement | A remote or flexible location is listed |
| Pay | Not published in the source listing |
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.
Biotechnology is rewriting life as we know it, from the medicines we take, to the crops we grow, the materials we wear, and the household goods that we rely on every day. But moving at the new speed of science requires better technology. Benchling's mission is to unlock the power of biotechnology. The world's most innovative biotech companies use Benchling's R&D Cloud to power the development of breakthrough products and accelerate time to milestone and market. Come help us bring modern software to modern science.
Benchling is building AI & Data Engineering, a small autonomous team within our Security & IT organization. AIDE owns two things: the internal AI capabilities and adoption so Benchlings can rapidly experiment and discover what works; and the source-of-truth data & analytics infrastructure the company depends on. We span the bridge between departmental AI experimentation and enterprise-grade agentic systems in production — rapidly prototyping new solutions, and graduating proven prototypes into hardened, well-governed systems with full SDLC rigor. This is an internal tools and automation role - think of it as an internal forward-deployed engineer. You will sit with the teams whose work you are automating, scope the problem with them directly, and ship the system that fixes it. AI is what we are supporting, but not directly what we build: we want someone who builds reliable internal systems and integrations, and who reaches for a model when a model is genuinely the right answer. Model research or ML engineering experience is neither required nor the bar.
We're built to be enablers. We set the patterns, standards, and shared infrastructure that let departmental teams and AI power users across the company build their own solutions, and we take on the agentic systems that no single team owns. It's early days for enterprise agentic AI at Benchling, and we'll be moving fast — iterating on prototypes, learning from internal customers, and changing direction as the field matures.
As the founding engineer for this team, you'll own the technical direction, architecture, and delivery of our internal tooling and automation portfolio. You'll be a player-coach — hands-on most of the time, leading by doing — and partner closely with our AI Product Manager on prioritization and our Data Analytics & Science team peers on the data foundations that agentic systems depend on. This is an individual contributor role on a flat team: you'll lead the engineering team in ideation, planning, and delivery and you'll drive technical hiring, while people management responsibilities sit with the hiring manager.
Check out our engineering blog for examples of past work across Benchling.
Shape technical direction and architecture: Define the foundational architecture for internal tooling and automation at Benchling - integration patterns across our SaaS estate, workflow orchestration, data access, service boundaries, and the observability that makes internal systems supportable. Where a workflow genuinely calls for an agent, own that architecture too: tool integration, state management, and evaluation. Make clear build vs. buy decisions across the stack with documented rationale.
Build and ship the early portfolio yourself: Write production code at least half your time, particularly during the team's first year. Stand up the CI/CD, testing, and deployment infrastructure the team runs on - leveraging existing patterns from Benchling's Build organization wherever possible. Graduate departmental prototypes into hardened, production-grade systems and own production support under a "you build it, you run it" model.
Design for enterprise from day one: Build for multi-tenant isolation, secrets management, audit logging, payload encryption, role-based access controls, and human-in-the-loop controls calibrated to risk. Partner with Security Engineering on threat modeling for the systems you build - including the agentic ones, where prompt injection, tool misuse, and data exfiltration are live concerns.
Enable builders across the company: Coach power users and departmental teams on production patterns, develop the criteria that decide which prototypes graduate into enterprise-grade systems, and build the internal-facing developer experience — templates, SDKs, sandboxes — that lets builders outside this team ship safely.
Partner across functions: Work closely with our data analytics peers on the source-of-truth datasets and pipelines that agentic systems depend on. Sit down with department leaders and non-technical stakeholders, turn a vague "this process is painful" into a scoped and prioritized engineering problem, and drive it to a shipped system - largely on your own judgment. Work with Benchling's platform and infrastructure teams to leverage existing capabilities rather than build parallel systems.
Elevate engineering standards: Set the bar for code quality, testing and evaluation, documentation, and on-call practices. Drive technical hiring through interview loop design, bar-raising in interviews, and representing the team to senior candidates. Mentor engineers on the team and other AI builders across the company.
7+ years of professional software engineering experience building production systems, with strong systems design and integration fundamentals.
A track record of building internal tools, automation, and systems integrations that colleagues depended on daily - not customer-facing product work alone. You have wired together APIs, SaaS platforms, and internal services, and you owned the result in production.
Demonstrated understanding of how to optimize workloads across deterministic and non-deterministic capabilities, striking the right architectural balance for the needs of the specific solution being implemented.
Production experience with at least two of: Python, TypeScript/Node.js, Go; comfort with working across the stack.
Practical experience applying LLMs where they earn their place in a workflow - and the judgment to recognize where they do not. We care that you shipped something that worked and that people kept using, not which framework you reached for.
Track record of going from zero to one: a platform, function, or product area you built up from scratch and scaled.
Experience operating in regulated or security-sensitive environments. Solid grasp of enterprise security fundamentals — encryption, access controls, audit logging, secrets management.
Comfortable exercising technical leadership independent of positional authority. You set direction, raise the bar in design reviews, and grow other engineers through influence.
Build software with a product-first approach. You ship code quickly and care about the real-world impact of your work.
Enjoy ownership and building key pieces of platforms.
Strong communication skills with non-technical audiences specifically. You can sit with a finance, legal, or sales ops team, understand their workflow well enough to challenge it, and come back with an engineering plan they recognize as their own problem - then explain the tradeoffs in their language.
Interest in learning more about life science (prior knowledge is not required).
NICE TO HAVE
Background in enterprise SaaS, life sciences, or biotech.
Familiarity with LLM orchestration and tool-integration patterns (MCP, agent SDKs from major model providers).
Experience with async orchestration (Temporal, Prefect, Airflow) applied to long-running or agentic workflows.
Familiarity with SOC 2, HIPAA, or GxP compliance as they apply to AI systems.
Experience building internal developer platforms or internal tools at scale.
Direct experience coaching or enabling non-engineers (analysts, ops staff, business power users) to build with AI tooling.
Model research or ML engineering.
We 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-CG1
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.
Field: Technology Sub-niche: Software engineering All jobs at Benchling, Inc. Jobs in California Jobs in San Francisco, CA San Francisco city guide California state guide San Francisco County economy
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We could not match this job title to one occupation in the official wage statistics, so no pay estimate is shown. Pay is not in the source listing; ask the employer for the range and compare in the 240 job niches.
Estimate for a wage earner: 2026 federal brackets and standard deduction (IRS), Social Security 6.2% up to $184,500, Medicare 1.45% (+0.9% above $200,000 single / $250,000 married), and a state rate you set; set your own state tax rate. It ignores credits, pre-tax deductions, local taxes and benefits. Sources: IRS: tax year 2026 inflation adjustments · SSA wage base per Federal Register notice 2025-19763.
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The job is in San Francisco, CA. Below is what the official statistics say about living and working there.
How San Francisco compares. Among the 145 largest places in California, San Francisco is #4 by population, #139 for homeownership (#1 = highest), #20 for remote work (#1 = most), #25 for college degrees (#1 = most). Its county, San Francisco County, is #3 of 58 counties for average pay ($174,103).
San Francisco has 830,235 residents (ACS 2020–2024), about 2.1% of the population of California. It covers 47 square miles of land, which works out to roughly 17,784 people per square mile. The median age is 40.0, 6% older than the state median (40.0 against 37.9).
The median gross rent is $2,476 a month (rent plus utilities), 22% above the state median ($2,476 against $2,036). Over a year that is 21.1% of the median household income. US housing guidance treats housing as affordable when it takes 30% of income or less, so the typical household is under that line. The median home value is $1,394,500, which is 9.9 times the median household income ($140,970); a ratio above 5 usually means buying is out of reach without savings or a second income. 38.2% of households own their home, 32% below the state average (38.2% against 55.9%). A low ownership share points to a rental-heavy market with more apartments and shorter stays.
The San Francisco-Oakland-Fremont, CA metropolitan area has 2,373,920 jobs in the BLS wage survey, and the median pay across all occupations is $74,260 a year, 46% above the national median ($74,260 against $50,980). The biggest occupation groups are office and administrative support (226,320 jobs, median $62,120); management (223,100 jobs, median $176,340); business and financial operations (207,030 jobs, median $112,960). The area is most specialised in computer and mathematical (1.9 times) and life, physical, and social science (1.8 times), where the share of workers is well above the national share. The best-paying groups with at least 5,000 jobs are management ($176,340) and computer and mathematical ($167,770). In 2026M09 the unemployment rate of San Francisco County was 4.0%. 69.6% of residents aged 16 and over are in the labour force. The city lies in San Francisco County; its jobs, pay by industry and GDP are on the county page.
Among workers, 28.6% drive alone, 18.7% use public transit, 9.3% walk, 31.0% work from home. 21.6% of workers commute 45 minutes or more, 11% above the state average (21.6% against 19.4%). Remote work is more common than in the state as a whole, which widens the set of employers a resident can work for without moving.
60.3% of adults aged 25 and over hold a bachelor's degree or higher, 63% above the state share (60.3% against 37.1%). 34.0% of residents were born outside the United States, 26% above the state share (34.0% against 27.0%). The poverty rate is 11.2%, 7% below the state rate (11.2% against 12.0%).
The warmest month is Sep, averaging 59°F (14.9°C), and the coolest is Apr at 53°F (11.6°C). About 515 mm (20 inches) of precipitation falls in a year; Dec is the wettest month (112 mm) and Jul the driest (2 mm). These values come from NASA satellite-based climatology on a grid of about 50 km, so they describe the wider area, not a weather station in the city.
Closest cities in this guide: Daly City (31 miles, rent 3% higher); Pacifica (31 miles, rent 25% higher); San Bruno (34 miles, rent 12% higher); Millbrae (36 miles, rent 32% higher). Rent differences are against San Francisco; use the Compare tab to put any two cities side by side.
Full guide to San Francisco →California guideAll jobs in San Francisco
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Places within 50 miles (straight line) of San Francisco, CA that have a guide, with what living there costs. No pay estimate is shown because the title did not match one occupation.
| Place ⇅ | Distance from the job city ⇅ | Median rent ⇅ | Median home value ⇅ | Median household income ⇅ | Commute 45+ min ⇅ | Rent as % of occupation pay ⇅ | Open jobs there ⇅ |
|---|---|---|---|---|---|---|---|
| San Francisco, CA | 0 mi | $2,476 | $1,394,500 | $140,970 | 21.6% | n/a | Jobs |
| Daly City, CA | 31 mi | $2,551 | $1,115,000 | $123,547 | 19.6% | n/a | Jobs |
| Pacifica, CA | 31 mi | $3,098 | $1,249,800 | $160,523 | 15.5% | n/a | — |
| San Bruno, CA | 34 mi | $2,773 | $1,207,500 | $141,272 | 12.2% | n/a | — |
| Millbrae, CA | 36 mi | $3,272 | $1,934,900 | $163,476 | 21.8% | n/a | Jobs |
| Brisbane, CA | 36 mi | $2,574 | $1,232,200 | $156,169 | 29.8% | n/a | — |
| South San Francisco, CA | 36 mi | $2,802 | $1,188,800 | $136,578 | 15.2% | n/a | Jobs |
| Half Moon Bay, CA | 37 mi | $2,433 | $1,549,500 | $157,884 | 26.7% | n/a | — |
| Burlingame, CA | 38 mi | $2,785 | $2,000,001 | $174,000 | 23.1% | n/a | Jobs |
| Richmond, CA | 40 mi | $1,960 | $668,200 | $95,391 | 28.8% | n/a | — |
| San Mateo, CA | 41 mi | $3,077 | $1,618,700 | $153,504 | 15.8% | n/a | Jobs |
| Berkeley, CA | 41 mi | $2,133 | $1,413,900 | $108,092 | 20.8% | n/a | Jobs |
| Alameda, CA | 42 mi | $2,474 | $1,235,700 | $137,697 | 27.3% | n/a | Jobs |
| Belmont, CA | 43 mi | $2,875 | $2,000,001 | $205,297 | 18.6% | n/a | Jobs |
| Oakland, CA | 44 mi | $1,979 | $929,900 | $101,600 | 21.9% | n/a | Jobs |
| Foster City, CA | 44 mi | $3,501 | $1,838,200 | $199,143 | 20.6% | n/a | Jobs |
| San Carlos, CA | 45 mi | $2,854 | $2,000,001 | $237,470 | 14.9% | n/a | Jobs |
| Redwood City, CA | 47 mi | $2,968 | $1,801,700 | $157,814 | 10.2% | n/a | Jobs |
| San Leandro, CA | 48 mi | $2,186 | $844,200 | $101,420 | 23.7% | n/a | — |
| Atherton, CA | 49 mi | $3,501 | $2,000,001 | $250,001 | 7.0% | n/a | — |
We could not match this title to one occupation, so here are the other sub-niches in Technology, where your skills may carry over:
Cybersecurity (713) Data, analytics and AI (3366) Cloud, IT and infrastructure (1040) Product management (836)
How far San Francisco, CA is from the 20 largest US cities, in straight-line miles (not driving distance). Click a column to sort.
| From ⇅ | Straight-line distance (miles) ⇅ | Population of that city ⇅ |
|---|---|---|
| San Francisco, CA | 0 mi | 830,235 |
| San Jose, CA | 73 mi | 990,138 |
| Los Angeles, CA | 364 mi | 3,857,263 |
| San Diego, CA | 475 mi | 1,389,526 |
| Phoenix, AZ | 678 mi | 1,642,323 |
| Seattle, WA | 684 mi | 754,195 |
| Denver, CO | 986 mi | 718,877 |
| Oklahoma City, OK | 1,420 mi | 697,125 |
| Fort Worth, TX | 1,484 mi | 963,194 |
| Dallas, TX | 1,515 mi | 1,307,930 |
| San Antonio, TX | 1,516 mi | 1,479,835 |
| Austin, TX | 1,530 mi | 979,539 |
| Houston, TX | 1,673 mi | 2,328,253 |
| Chicago, IL | 1,885 mi | 2,711,226 |
| Indianapolis, IN | 1,979 mi | 885,860 |
| Columbus, OH | 2,142 mi | 914,802 |
| Charlotte, NC | 2,332 mi | 903,844 |
| Jacksonville, FL | 2,403 mi | 977,670 |
| Philadelphia, PA | 2,550 mi | 1,579,706 |
| New York, NY | 2,602 mi | 8,483,844 |
| City ⇅ | Straight-line distance ⇅ | Open jobs ⇅ |
|---|---|---|
| Alameda, CA | 42 mi | 38 |
| Belmont, CA | 43 mi | 2 |
| Redwood City, CA | 47 mi | 45 |
| Palo Alto, CA | 54 mi | 298 |
| Sunnyvale, CA | 60 mi | 83 |
| Fremont, CA | 62 mi | 6 |
| Pleasanton, CA | 63 mi | 6 |
| Milpitas, CA | 66 mi | 2 |
| Campbell, CA | 67 mi | 7 |
| San Jose, CA | 73 mi | 698 |
| Capitola, CA | 79 mi | 1 |
| Sacramento, CA | 103 mi | 53 |
Benchling, Inc. is the employer in this listing. See all its open jobs here →
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A private-sector role in technology (software engineering) listed 61 days ago. The full description is on this page and on the employer's page.
San Francisco, CA. A remote or flexible location is listed; confirm with the employer which states are accepted.
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The listing does not publish pay, and we could not match the title to one official occupation.
Median rent in San Francisco is $2,476 a month and median household income $140,970 (ACS 2020–2024).
It was posted on 2026-09-09 (61 days ago). Jobs older than 90 days are not shown.
Yes: browse software engineering jobs in California.
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