Programmable DNA, the software of Life, is finally here! Twist Bioscience is developing a disruptive Synthetic DNA technology that will change the world, enabling widespread health and sustainability. Synthetic biologists will use our products to engineer how organisms produce cures to diseases, make everyday chemicals by using the atmosphere as the carbon source, enable plants to make their own fertilizers, and to create in-vivo diagnostics that alert us when we are sick, and many more applications.

Reporting to the Director of Commercial Project Management, the Senior Project Manager, Custom Antibodies will coordinate multiple simultaneous projects for our high-throughput Antibody/IgG offerings. You will manage project execution from the initial inquiry through final delivery. This includes managing communication between several internal departments—Sales, Customer Service, Tech Support, Operations, Product Management, Finance etc—to create quotes/Statements of Work (SOWs) and ensure customers receive proactive updates on their project’s progress.

What You’ll Be Doing

• Manage End-to-End Coordination: Oversee custom Antibody projects from intake to final delivery, ensuring smooth transitions between quoting, production, and Antibody/data delivery.
• Design & Quoting: Gather antibody design requirements to ensure quotes and SOWs accurately reflect customer needs, accurate costing, and the production team's capabilities.
• Track & Report: Prepare quotes and maintain real-time status updates in the project tracker for all issued quotations and active orders.
• Customer Communication: Serve as the primary contact for project timelines, data quality, and technical updates; respond to inquiries or route them to the correct internal expert for prompt follow-up.
• System Accuracy: Maintain precise records of quotes, orders in progress, and shipments to ensure reliable reporting.
• Process Improvement: Identify workflow inefficiencies and suggest practical ways to scale operations as the department grows.

What You’ll Bring to the Team

• Education: Bachelor’s degree in Biology, Chemistry, or a related field. An advanced degree or hands-on laboratory experience is a plus.
• Experience: 4–5 years in the life sciences. A technical background in antibody engineering and/or antibody characterization is preferred. Familiarity with Salesforce and Jira is a plus.
• Project Management: 1–2 years of experience leading scientific projects in a commercial setting, with a proven ability to manage timelines across different departments.
• Collaborative Influence: Ability to work effectively with customers and internal teams (Sales, Operations, Customer & Tech Support, Finance, etc) to move projects forward without direct authority over those teams.
• Operational Skills: Strong organizational and communication skills, with the ability to meet deadlines and maintain high standards while under pressure.
• Problem-Solving & Scalability: A track record of identifying bottlenecks in a workflow and implementing practical, organized solutions that help a team handle more volume.

About Twist Bioscience

Twist Bioscience synthesizes genes from scratch, known as “writing” DNA. Just as children learn to both read and write, the next phase of development for the genomics revolution is the ability to write DNA.

At Twist Bioscience, we work in service of people who are changing the world for the better. In fields such as health care, agriculture, industrial chemicals and data storage, our unique silicon-based DNA Synthesis Platform provides precision at a scale that is otherwise unavailable to our customers.

Twist Bioscience Corporation is an Equal Opportunity Employer. Twist Bioscience Corporation provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic characteristics, or any other category protected by law.

In 1600, William Gilbert published De Magnete—the first systematic study of magnetism. He didn't just theorize; he built instruments, ran experiments, and shared what he learned so that others could go further. Three centuries later, those foundations helped power the modern world.

At Mercury, we're making a deliberate, company-wide bet on AI. Frontier users are already pushing boundaries—building agents, automating workflows, moving fast. But they're doing it in silos. This role exists to change that: to take those scattered experiments and turn them into shared infrastructure, shared context, and shared capability. The goal is a multiplier effect—where the most ambitious AI work inside Mercury lifts the velocity of everyone else.

What you'll do

You'll join a team that has already started building Mercury's internal AI platform and enablement layer. Your work will be to extend, harden, and scale what's in motion, and to help partner teams adopt it.

Extend the AI platform foundation

• Build and evolve MCP servers that connect internal systems and data sources into a coherent interface for agents and engineers.
• Expand and operate our LLM gateway infrastructure: routing, rate limiting, cost attribution, and observability across teams.
• Turn early patterns into durable defaults: shared prompt libraries, guardrails, and policy-as-code so teams can move fast safely.

Strengthen the shared company knowledge layer

• Shape and maintain structured context artifacts—clean, reliable, agent-consumable—so LLMs working in Mercury's systems can reason accurately about our domain.
• Improve internal knowledge discoverability and retrieval so both humans and agents can quickly find accurate answers.
• Partner with domain teams to standardize key sources of truth, and keep them fresh.

Enable faster prototyping and iteration across the company

• Build and refine sandbox environments and tooling that let engineers experiment with AI safely and at speed.
• Create self-service scaffolding so non-engineers—PMs, ops, finance—can prototype and deploy AI-powered workflows with minimal hand-holding.
• Build playgrounds and evaluation harnesses so internal AI agents can be tested and iterated in controlled environments before hitting production.

This list is illustrative. Priorities will shift as we learn; the right person will help choose the next highest-leverage work.

The ideal candidate

• Has 5+ years of backend development experience in complex, production systems—you've built things that other engineers depended on.
• Is fluent across programming languages and can navigate platform engineering, infrastructure, and developer tooling without needing a map.
• Has hands-on experience building LLM-powered systems—RAG pipelines, agents, eval frameworks—and has shipped at least one of these to production.
• Understands the real tradeoffs in AI deployments: cost modeling, observability, latency, and safety—not just the exciting parts.
• Is high-agency and self-directed. You can operate effectively without tightly-defined scope, find the highest-leverage work, and get it done.
• Communicates clearly across technical and non-technical audiences—you can explain what you built and why it matters.

The total rewards package at Mercury includes base salary, equity, and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

• US employees (any location): $166,600 - $218,700
• Canadian employees (any location): CAD 157,400 - 206,650

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024. 

[Please see the independent bias audit report covering our use of Covey for more information.] 

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