Benefits:

• Equity

Experience Requirements:

• Top-tier management consulting or similar professional client service experience

• Experience in business development or strategic partnerships

• Domain expertise in AI, advanced manufacturing and/or semiconductors

Other Requirements:

• Exceptional written, verbal, and interpersonal communication skills

• Entrepreneurial mindset with a strong sense of ownership, high level of motivation to succeed, and adaptability to fast-paced environments

• Willingness to travel domestically and internationally as required

• Operating experience in a startup or similar entrepreneurial environment

• Degree in engineering, science, or computer science

Responsibilities:

• Developing Normal's GTM strategy in collaboration with cross-functional teams, and driving its execution, from outreach to deal closure and partnership success with enterprise organizations.

• Working closely with customers to understand their needs and objectives, and position Normal as a transformation partner to address their business goals.

• Gaining a deep understanding of the enterprise AI landscape and Normal’s relevant application landscape in advanced manufacturing, defining market positioning and key customer segments, creating messaging and sales collateral, and driving the execution of marketing and business development initiatives.

• Building and maintaining a growing enterprise partnership ecosystem, managing sales pipeline activities through robust processes and tools.

• Driving cross-functional coordination with internal stakeholders including engineering, product, marketing, legal and finance to ensure partnership success.

Benefits:

• 100% paid comprehensive medical coverage, including vision and dental, and HSA plan options for employees and their dependents

• Health & wellness app reimbursement

• On-site gym

• Free lunch

• 12 company holidays and flexible time off Generous parental leave: 18 weeks for birth parents and 12 weeks for non-birth parents Hybrid work environment: 3 days a week onsite and two days work from home Twice yearly multi-day offsites Safe harbor matching 401(k) Tax Advantaged Accounts including FSA, Dependent Care FSA, HSA, and commuter benefits Employer Paid Basic Life & AD&D Short Term and Long Term Disability

Education Requirements:

• PhD in biological sciences

Experience Requirements:

• at least 5-year experience in RNA-targeted small molecule discovery

• Proven hands-on experience in working with RNA targets and related screening technologies including but not limited to ASMS, ALIS, Microarray, SPR, ITC.

• Ability to evaluate newer methods as appropriate and implement novel approaches to screen RNA as needed.

• Ability to independently drive, manage, execute, and deliver results on key programs under tight timelines.

• Ability to work in a collaborative environment to enable integration of state-of-the-art technology platform with RNA biology to accelerate the program pipeline.

Responsibilities:

• Work with company leadership to advance our strategy for targeting RNA with small molecules and RNA degraders.

• Develop RNA screening strategy, establish screening platform and relevant technologies internally and/or in collaboration with external partners including but not limited to ASMS, Microarray, SPR, ITC, and/or other relevant biophysical methods. In addition, evaluate any new methods and implement them as necessary.

• Enable RNA-directed small molecule drug discovery efforts. Establish validated processes for small molecule hit ID, validation, and lead optimization for RNA targets. Deliver on program requirements in a timely manner.

• Collaborate with the drug discovery, ML data and ML teams to build an integrated workflow to support RNA biology programs.

• Provide scientific leadership and perform day-to-day lab activities.

Experience Requirements:

• 5-7 years of experience, though we are flexible.

Other Requirements:

• An obsession with automation and getting into the weeds.

• Bulletproof backend software engineering foundations, and perpetually learning new frameworks to unseat the old.

• The ability to make cut-through infrastructure and data processing decisions that scale.

• A Passion for new AI technologies and startups.

• Willing to travel on a monthly basis to the Bay Area for team offsites.

Responsibilities:

• Engineer core pillars of our multi-interface data application from scratch.

• Manage a sophisticated array of data APIs and data infrastructure with an unwavering passion for high-leverage deployment patterns and IAC.

• Create new products leveraging AI and LLMs to unlock new interfaces with, and understanding of, the unique datasets that Termina is accumulating.

• Conceive of and / or implement novel ways of distributed systems management, and high-scale data processing and retrieval.

Experience Requirements:

• 2-7 years of experience as a frontend engineer

Other Requirements:

• Proven expertise in React, TypeScript, and state management tools such as Redux and React Query.

• Strong understanding of frontend performance optimization and scalable architectures.

• An eye for design, with the ability to contribute meaningfully to the visual and UX design process.

• A collaborative, proactive approach with strong communication skills and the ability to work independently with minimal supervision.

• A commitment to ownership: able to estimate, manage, and deliver end-to-end solutions.

• Willing to travel on a monthly basis to the Bay Area for team offsites.

Responsibilities:

• Architect and build foundational user interfaces for our data application from scratch, including single-page applications using React and Next.js.

• Own and drive the frontend architecture using technologies like React, TypeScript, Next.js, and Redux.

• Strengthen familiarity with design systems and atomic design principles, including frameworks like Material-UI. to build reusable components.

• Expand proficiency with automated testing and CI/CD pipelines using Cypress, Jest, and GitHub Actions.

• Lead the creation of mockups, converting designs into code, and implementing responsive, high-performance websites.

Education Requirements:

• B.S. degree in Business Administration, Engineering, or comparable degree/experience.

Experience Requirements:

• 4+ years experience working in a customer-facing role, e.g., management consultant, technical consultant, or technical project manager.

• 2+ years experience as a lead project manager, preferably in a technology or consulting environment.

• Influential presence in front of customers, strong presentation and communication skills and the ability to become a trusted advisor.

• Exceptional organizational skills and attention to detail, with the ability to manage multiple projects simultaneously.

• Action-oriented with the ability to cut through uncertainty and bring clarity to teams and projects.

Responsibilities:

• Serve as the primary point of contact for machine learning projects throughout the delivery lifecycle, leading meetings, providing regular updates, addressing concerns, and managing expectations.

• Develop and manage comprehensive project plans and other artifacts to ensure successful project delivery within scope and on schedule.

• Proactively identify and mitigate risks and issues, ensuring that potential roadblocks are addressed promptly and effectively.

• Demonstrate technical aptitude to understand the complexities of machine learning use cases and communicate effectively with both technical and non-technical stakeholders.

• Navigate ambiguity and uncertainty with ease, adapting quickly to change and identifying paths to resolve uncertainty.

Benefits:

• comprehensive medical, dental, and vision plans

• yearly wellness stipend

• 401k program

• parental leave program

• workstation setup allowance

Education Requirements:

• B.S. degree in Computer Science, Engineering, or comparable degree/experience.

Experience Requirements:

• 5+ years demonstrated ability working in a technical customer-facing role, e.g., technical account management, management consultant, pre-sales engineer or customer success.

• Demonstrable ability to understand customer objectives, design solutions and identify expansion opportunities that align to value drivers within the account.

• Experience running strategic projects or professional services engagements with a strong orientation towards teaching and enablement.

• Consistent record of achieving targets and goals with a history of driving adoption and identifying risks to renewals, cross-selling and upselling.

• Influential presence in front of customers, strong presentation and interpersonal skills and the desire to become the trusted advisor.

Responsibilities:

• Build and develop relationships with senior leaders in business and IT to ultimately stay aligned with business outcomes and secure partnership in their transformation initiatives.

• Identifying critical needs of our customers and mapping appropriate resources multi-functionally including product, engineering, data science, and co-founders.

• Lead the new customer onboarding program and work with core Snorkel AI technical teams to ensure that customer requests and critical issues are resolved in a timely fashion.

• Be a customer advocate as we establish our roadmap and influence features and improvements and actively support them through the product development pipeline via collaboration with the product team.

• Partner closely with Regional Sales Leaders, Account Executives, MLEs, Data Scientists, and other internal collaborators to identify new use cases and add-on opportunities for the account team

Benefits:

• comprehensive medical, dental, and vision plans

• yearly wellness stipend

• 401k program

• parental leave program

• workstation setup allowance

Education Requirements:

• B.S. degree in a quantitative field such as Computer Science, Engineering, or comparable degree/experience.

Experience Requirements:

• 2+ years experience working in a technical customer-facing role.

• Proficient in Python.

• Previous experience with cloud infrastructure providers such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform.

• Outstanding organizational skills and ability to multitask in order to effectively prioritize and manage customer requests.

• Experience with common support software like Zendesk, Jira, and Slack.

Responsibilities:

• Partner with Snorkel Flow users to design, build, troubleshoot and deploy AI applications.

• Lead the resolution of critical technical issues, providing prompt and complete resolution to technical challenges and business issues.

• Perform live working sessions to analyze and address customer reported issues.

• Prioritize, document and coordinate customer issues with account assigned ML Success Managers and the Snorkel engineering team.

• Contribute to internal and external guides and docs, improving our self-service support materials.

Experience Requirements:

• 5+ years of professional full-stack experience developing performant, intuitive, and scalable web application architectures

• Experience developing and shipping enterprise software products for machine learning and data science applications

• Experience prototyping and iterating on user interfaces with modern React (ES7, React hooks, TypeScript)

• Expertise designing REST or GraphQL APIs for internal services and developers

• Ability to work in a fast-paced environment and strong technical communication skills

Responsibilities:

• Design and develop key interfaces of Snorkel Flow Studio, our novel workspace for programmatic labeling, data analysis, and visualization tools

• Prototype, optimize, and maintain scalable services to power new ML development workflows in Snorkel Flow

• Build proactively with empathy for our customers, constantly iterating to balance innovative research with practical solutions

• Engage with product managers, designers and ML experts to create a phenomenal user experience

• Collaborate with engineers to bring consistency and high standards to codebases, infrastructure, and processes

Experience Requirements:

• 6+ years of professional experience with modern React (ES7, React hooks, TypeScript)

• Strong technical communication skills and initiative

• Product engineering experience building full-stack web applications

• Ability to prototype and iterate quickly around sophisticated user workflows

• Obsession with front-end development best practices, including designing unit and end-to-end tests

Responsibilities:

• Design and develop key interfaces of Snorkel Flow, including interfaces for managing deployments, automatically analyzing data, and visualizing key metrics

• Work directly with world-class customers to help create intuitive interfaces for ML development

• Advocate and help define standards for the best practices in performance, product quality, security and user experience across the entire application

• Provide mentorship and foster a growth and collaborative mindset for all members of your team.

• Collaborate with cross functional teams on developing large scale products

Education Requirements:

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.

Responsibilities:

• Orchestration and Infrastructure Development:

• Design, implement, and maintain orchestration tools for workflows using Ray and Prefect.

• Build and manage infrastructure for scalable data connectors to integrate with systems like S3, Snowflake, and Databricks.

• Optimize compute resource utilization for AI pipelines and ensure reliable, fault-tolerant execution of tasks.

• MLOps and SDK Development:

Education Requirements:

• Bachelor's degree in Computer Science or related field, or equivalent demonstrated experience

Experience Requirements:

• Strong development and debugging skills in Python

• 5+ years of software development experience in distributed systems and cloud-native applications

• Strong experience with cloud platforms and infrastructure as code (Terraform, CloudFormation, Helm)

• Practical experience with Docker containerization and clustering (Kubernetes/EKS/GKE)

• Proficiency in code and system health, diagnosis, resolution and software test engineering

Responsibilities:

• Design, build, and maintain services and deployment for Snorkel’s enterprise platforms

• Design, build, and improve observability and alerting for Snorkel’s enterprise platforms

• Contribute to Snorkel’s inhouse deployment management software to installation and upgrades of various deployments for Snorkel’s enterprise customers

• Build and maintain Snorkel’s production and staging infrastructure; own our k8s and cloud strategy

• Work closely with various engineering teams in defining test strategies and build infrastructure to execute the same

Benefits:

• Healthcare Plans - We have options for you and your family

• FSA/HSA - You can opt into these savings plans

• Dependant Care Account - For eligible care savings

• 401k - We offer it and match your first 6%

• PerkSpot Account - Trusted employee discounts

Education Requirements:

• Any (new grads ok)

Benefits:

• Competitive salary and equity

• Unlimited paid time off

• 401k plan with employer contribution

• Medical, dental, and vision insurance

• Generous parental leave policy

Education Requirements:

• Bachelor’s degree

Experience Requirements:

• Proven track record of success in B2B sales, with at least 5 years of experience in a similar role

• Experience selling technical products in DevTools, DevOps, Security, MLOps, and similar markets

Other Requirements:

• Confidence selling to leadership in AI, engineering, security, or similar technical VP/C level decision makers

• CRM proficiency (we use Salesforce)

• Strong written & verbal communication skills, and demonstrable confidence with technical topics

• Curiosity and a willingness to learn quickly, work hard, and achieve the goals set by the team

• Located on the West Coast

Responsibilities:

• Source, nurture, and qualify new leads—and close new logos

• Once landed at a large organization, drive expansion into new business areas and cross-selling products

• Deliver killer product demos and presentations

• Build long-standing relationships with high-potential customers

• Lead negotiations and contract discussions

Benefits:

• Competitive salary

• Meaningful equity

• Health Insurance

• Vision insurance

• Dental insurance for employees covered 100% by company, Unlimited PTO, Team lunches, Fully stocked kitchen, Caffeine, Team retreats twice a year, Stipend for learning and development