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Software Validation Engineer, Energy Storage
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About Redwood Materials
Redwood is localizing a global battery supply chain that seamlessly integrates recovery, reuse, and recycling — keeping critical minerals in circulation and driving the energy transition. Founded in 2017, we’re delivering low-cost and large-scale energy storage and producing battery materials in the U.S. for the first time, all from batteries we already have.
Software Validation Engineer, Energy Storage
The Redwood Vision: Architecting the Future of the Grid
We are at the precipice of a global energy transition. At Redwood Materials, we are moving beyond battery recycling to build the most advanced, circular energy ecosystem on the planet. Our goal is to shift the industry from static, hardware-heavy infrastructure toward agile, software-defined energy assets. The Software Validation team ensures that these complex systems are safe, resilient, and ready for grid-scale deployment.
As a Software Validation Engineer, you are the bridge between pure code and physical reality. You will design and maintain the environments—Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL)—that allow us to stress-test our power electronics and site controllers. Your mission is to build the automated frameworks that catch edge cases before they hit the field, ensuring every product we ship meets the highest standards of reliability.
Key Responsibilities
- Validation Environment Design: Architect and scale our SIL and HIL environments (using platforms like Typhoon HIL, Opal-RT, or similar) to provide high-fidelity simulations of battery assets and grid conditions
- Test Automation Frameworks: Lead the development of automated test suites in Python. You will transition our validation processes from manual intervention to a fully automated, scalable framework
- V&V Strategy: Define and execute comprehensive Verification and Validation (V&V) plans, ensuring all software requirements for the site controller and embedded power electronics are met under normal and fault conditions
- CI/CD Integration: Integrate automated HIL/SIL testing into our CI/CD pipelines, providing real-time feedback to the development teams and serving as the final gate for production-ready code
- Hardware-in-the-Loop Interfacing: Design custom interface hardware and wiring for HIL benches, bridging physical I/O from our controllers to simulated power stages
- Root Cause Analysis: Work closely with the firmware and systems teams to debug complex failures found during validation, using logic analyzers, oscilloscopes, and telemetry logs to pinpoint issues
Qualifications
- Background: A BS or MS in Electrical Engineering, Computer Engineering, or a related field, combined with 2+ years of professional experience in software validation or test automation for hardware-focused systems
- HIL/SIL Mastery: Proven experience with real-time simulation platforms (Typhoon HIL, Opal-RT, or dSPACE) and a deep understanding of how to model power electronics components in a virtual environment
- Automation Toolchain: Expert proficiency in Python (specifically for test automation frameworks like Pytest) and familiarity with Rust and C/C++ to navigate embedded codebases
- Hardware Literacy: Comfortable in a high-voltage lab environment. You should be proficient with standard lab equipment (oscilloscopes, power supplies, electronic loads) and digital protocols like CAN, SPI, and Ethernet
- Systematic Thinking: A dedicated mindset for "breaking" software. You have a track record of finding critical edge cases in complex state machines and control loops
- Infrastructure: Experience with Git, Jenkins/GitHub Actions, and containerization tools like Docker for managing consistent test environments
In accordance with California pay transparency laws, the salary range for this position is listed below. Actual compensation may vary based on a variety of factors, including experience, education, and skills.
The position is full-time. Compensation will be commensurate with experience.
We collect personal information (PI) from you in connection with your application for employment with Redwood Materials, including the following categories of PI: identifiers, personal records, professional or employment information, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment. If you have additional privacy-related questions, please contact us at privacy@redwoodmaterials.com.
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Principal Engineer, Online Systems
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About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
As a principal engineer on the Online Systems team, you’ll join a team that powers Pinterest’s most business-critical online systems at massive scale, driving the reliability, efficiency, and evolution behind every core Pinner and Advertiser experience. You'll lead major efforts like multi-region deployment and Kubernetes migration, set the standard for operational excellence, and define the long-term vision for our online serving infrastructure, supporting machine learning and product innovation across the company. This is an opportunity for high-impact technical leadership, broad visibility, and cross-functional influence at the heart of Pinterest’s platform.
What you’ll do:
- Improve reliability, scalability and infra efficiency for Pinterest’s critical online systems across storage and caching, online service and realtime analytics systems to support continued business growth.
- Lead cross-functional strategic initiatives to modernize Pinterest’s online serving stack through multi-region deployment, Kubernetes migration, and the adoption of cutting-edge technologies and industry best practices.
- Quality champion for online systems and the broad engineering organization, holding a high bar on execution quality and operational excellence.
- Drive the online systems vision and strategy for the next 3 years and beyond, and translate that strategy into cross-functional roadmaps with measurable outcomes.
- Foster a diverse and inclusive engineering culture that makes all feel welcome, and invest in mentorship, critical thinking, and candid feedback to strengthen individual and organizational growth.
What we’re looking for:
- 12+ years of software engineering experience with deep expertise in distributed systems, especially online serving, storage, and caching systems: hands-on experience building and operating highly available, reliable, production-grade systems at large scale; strong technical judgment in reliability, scalability, performance, and infrastructure efficiency; proficiency in at least one of C++, Java, or Python.
- Proven track record driving large-scale technical impact: experience leading reliability and scalability improvements, cost efficiency initiatives, and modernization efforts across critical production systems; able to define technical strategy, influence architecture decisions, and drive execution through cross-functional collaboration, strong communication, and operational excellence.
- Strong ownership, quality mindset, and thoughtful use of AI: demonstrates high standards for engineering quality, integrity, and accountability for final outcomes; able to use AI to accelerate analysis, debugging, design exploration, or operational workflows while applying critical thinking, validating correctness, and maintaining sound technical judgment rather than outsourcing ownership to tools.
- Exceptional collaboration skills with cross-functional partners, with the ability to navigate ambiguity, make tradeoffs, and keep stakeholders aligned on priorities and progress.
- Bachelor’s degree in Computer Science, a related technical field, or equivalent experience.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement Statement:
- We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
- This role will need to be in the office for in-person collaboration 1-2 times per quarter and therefore needs to be in a commutable distance from one of the following offices: PA or SF offices.
#LI-HYBRID
#LI-CL5
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
Our Commitment to Inclusion:
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Project Controls Analyst (Cost and Data Visualization)
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About the Positions
We’re seeking Project Controls Analysts (Cost and Data Visualization) at multiple levels to support large, heavy-civil infrastructure programs, including highways, roads, bridges, transit (rail and bus), aviation (international airports), and water projects delivered through both traditional and alternative methods.
These roles sit at the intersection of project controls and modern data analytics. Depending on level and experience, responsibilities may span cost control, financial tracking, and schedule awareness, combined with advanced data structuring and visualization capabilities. Across all levels, the focus is not just on building dashboards, but on working within active programs to help teams understand what the data is actually telling them and where performance is trending.
Team members support cost and financial oversight across publicly funded programs (USDOT, FAA, FTA, and state DOTs), contributing across the full reporting lifecycle. This may include partnering with stakeholders to define reporting requirements, integrating and validating data from multiple systems, structuring datasets, and developing dashboards and reports that support project execution, program controls, and executive decision-making.
At Luster, these are not passive reporting roles. Depending on level, individuals play a key part in shaping how project data is organized, governed, and communicated across complex, multi-stakeholder environments. The expectation across the team is an understanding of both the data and the project context behind it, with the ability to bridge the gap between technical outputs and real-world delivery.
This posting is for future roles and not for a specific opportunity that is available right now. We accept applications and conduct interviews in advance of upcoming hiring needs. When a candidate is selected, their profile is activated in our talent pool for this specialty area. We notify our talent pool candidates first whenever we have a project need.
Responsibilities may include, but are not limited to, the following:
Project Controls and Program Analytics
- Develop dashboards and reports that support cost, schedule, forecast, progress, change, and performance analysis.
- Create reporting solutions for project teams, program leadership, and executive stakeholders.
- Support analytics related to: budget versus actuals; forecast trends; cost and schedule variance; cash flow and commitments; change management; portfolio and program performance; risk and exposure indicators.
- Help translate project controls data into practical, decision-ready outputs.
Cost Control and Financial Oversight
- Monitor actual costs vs. budget and analyze variances across multiple funding sources.
- Implement cost control procedures in compliance with federal and state regulations.
- Prepare cost reports and documentation required by agencies such as the Federal Transit Administration (FTA), Federal Aviation Administration (FAA), and State DOTs.
- Collaborate with scheduling, procurement, and engineering teams to align cost data with project milestones.
- Support earned value management (EVM) and integrate cost and schedule performance metrics.
- Identify cost-related risks and support mitigation planning.
- Evaluate cost impacts of change orders and scope modifications.
- Interface with government clients, contractors, and internal teams to ensure transparency and accountability.
- Participate in audits, reviews, and funding agency meetings.
- Support reporting deliverables across multiple funding and delivery structures, including traditional and alternative methods.
Data Integration and Management
- Extract, organize, and validate data from client and internal systems, including PMIS platforms, ERP systems, scheduling systems, and operational/financial source systems.
- Support the design and maintenance of data pipelines using SQL, APIs, and Python-based workflows.
- Prepare data for reporting through cleansing, transformation, and modeling.
- Contribute to scalable data structures that support repeatable reporting and analytics delivery.
Dashboard and Report Development
- Design and build user-friendly dashboards, reports, and visual analytics primarily in Power BI.
- Develop views tailored to different audiences, including executive, management, and operational users.
- Use wireframes and prototypes to align reporting design with stakeholder needs.
- Incorporate best practices in layout, usability, filtering, navigation, and documentation.
- Support paginated and presentation-ready reporting where required.
Stakeholder Collaboration
- Gather and document business requirements from internal teams and external clients.
- Facilitate conversations that clarify reporting goals, success criteria, and data availability.
- Present reporting concepts, draft dashboards, and iterative updates for stakeholder review.
- Provide clear communication to both technical and non-technical audiences.
- Support user adoption through training, reference materials, and report documentation.
Continuous Improvement and Innovation
- Identify opportunities to improve reporting quality, efficiency, and business value.
- Recommend more effective ways to structure, visualize, and interpret data.
- Support innovative uses of modern analytics, automation, and AI-enabled workflows where appropriate.
- Contribute to Luster’s evolving internal and client-facing analytics capabilities.
Attributes
- Excellent written and verbal communication and interpersonal skills.
- Ability to work effectively with cross-functional teams and communicate with a range of stakeholder groups.
- Meticulous analyst who spots anomalies quickly and communicates them clearly.
- Comfortable navigating large datasets, cost-control platforms, and Excel pivot tables.
- Strong attention to detail and commitment to data quality.
- Excellent multitasking and organizational skills.
- Collaborative mindset that fosters teamwork, trust, and positive relationships.
- Natural curiosity, problem-solving abilities, and a passion for continuous improvement.
Minimum Qualifications
- Bachelor’s degree in engineering, construction management, finance, business, data analytics, information systems, statistics, computer science, or a related field, or equivalent combination of education and experience.
- 5+ years of relevant experience in project controls, cost engineering, business intelligence, data analytics, and/or program or portfolio reporting.
- Familiarity with project controls concepts such as cost, schedule, forecasting, and performance reporting.
- Experience developing dashboards and reports (preferably using Power BI).
- Experience using Python for data transformation, automation, scripting, or API integration.
- Proficiency with Microsoft Power BI, Oracle Cloud Analytics, or other dashboard KPI reporting software.
- Proficiency with Microsoft Office Suite/Office 365 (e.g., Outlook, Teams, Word, PowerPoint, etc.).
Preferred Qualifications
- Master’s degree in engineering, construction management, finance, business, data analytics, information systems, statistics, or computer science.
- Experience supporting infrastructure, transportation, aviation, construction, engineering, or capital program environments.
- Familiarity with tools and platforms such as Primavera P6, Oracle Primavera Cloud, Unifier, Kahua, Procore, e-Builder, Microsoft Fabric, and BI Publisher.
- Experience integrating data from ERP, PMIS, and scheduling platforms.
- Knowledge of dimensional modeling, semantic models, data warehouses, or lakehouse concepts.
- Experience building executive-level reporting for portfolio or program leadership.
- Familiarity with risk analytics, forecasting analytics, or statistical reporting methods.
- Experience working within client-controlled or regulated technology environments.
- Willingness to learn and grow in a fast-paced, innovative team environment, including developing proficiency in financial modeling and reporting and using cost/schedule management tools (e.g., Primavera P6, Deltek, and SAP).
Compensation Details
Expected Salary: $89k-$140k/year ($43-$67/hour). Luster provides the salary range that the company in good faith believes it might offer for this position based on the successful candidate’s level of experience, knowledge, skills, abilities, education, certifications, licenses, geographic location, etc. Luster reserves the right to ultimately pay more or less than the posted range depending on circumstances not related to any status protected by local, state, and/or federal law.
Just LOOK at the Benefits We Offer!
- Unlimited flexible time off
- Paid holidays
- Paid parental leave
- Health, dental, and vision insurance
- Flexible spending accounts (healthcare and dependent or elder care)
- Long-term disability insurance
- Short-term disability insurance
- Life insurance and accidental death and dismemberment
- 401(k) plan with guaranteed employer contribution
- Formal career planning and development program
- $2,500 annually toward professional development
- Wellness program with monthly wellness stipend
- Company cell phone or cell phone plan reimbursement
- Free personalized meal planning and nutrition support with a registered dietitian
- Free personal financial planning services
- Employee assistance program
- Employee discounts
- Employee referral bonus
Specific plan details and coverage for each benefit noted above will be provided upon offer.
If you wish to be considered for a position where there is not an active job posted, please search for our 'General Application' and apply.
Luster is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to criminal history, race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.
All positions may be subject to a background check and drug test once a conditional offer of employment is made for any convictions directly related to its duties and responsibilities, in accordance with all applicable local, state, and/or federal regulations.
This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and skills required for the position.
Luster does not accept unsolicited resumes from any third-party. In the absence of a signed agreement, Luster will not consider or agree to payment of any kind. Any unsolicited resumes presented to Luster personnel, including those submitted to Luster hiring managers, are deemed to be the property of Luster.
Please email hiring@luster.com for accommodations necessary to complete the application process.
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Senior Benefits Partner
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About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Benefits is a core expression of how we support Ants and their families, now and over the arc of their lives. Our Benefits function has scaled to a global program covering thousands of employees across multiple regions in just over two years, and we are now adding additional depth to match that breadth.
We are hiring a senior individual contributor to anchor a major piece of our global program. The role is shaped to fit the strongest candidate's regional expertise. You will primarily own one of two scopes:
- Americas: US health and welfare strategy, leading our evaluation of a potential move to self-funding, owning our Canada program, and stewarding readiness to extend benefits across the Americas as our footprint grows.
- International: End-to-end international benefits ownership across EMEA and APAC, leading new entity launches and managing the full program lifecycle in regions where Anthropic has a growing presence.
Both versions of this role share the same level, the same reporting line, and the same core competencies. We will identify which scope fits best during the interview process based on where your hands-on experience and strongest interests lie.
This is a builder role. You will design programs where infrastructure does not yet exist, run broker selections, negotiate carrier terms, and stand up audit-ready operations across multiple jurisdictions.
You will report to the Head of Benefits and partner closely with our Senior Benefits Partner.
Key responsibilities
Regardless of regional anchor, you will:
- Own end-to-end benefits program management for your region, including design, vendor selection, broker management, implementation, renewals, and the day-to-day employee experience
- Manage carrier and vendor relationships, holding them accountable to contracted service standards
- Partner with Payroll, People Operations, Legal, and Finance to keep programs compliant, well-administered, and auditable
- Triage and resolve escalations across time zones, including carrier disputes and claims advocacy
- Draft clear, compliant employee-facing communications for enrollment, renewals, and policy changes
- Bring benchmarking and market intelligence to bear on program design, with a clear point of view on what Anthropic should do, not only what the market does
If you anchor in Americas, you will additionally:
- Own US health and welfare program strategy across medical, dental, vision, life, disability, and ancillary lines
- Run the full annual US renewal cycle, including market strategy, carrier negotiations, and open enrollment execution
- Lead the evaluation and potential transition to self-funding, partnering with Finance on stop-loss structure, claims forecasting, and reserve modeling
- Own our Canada benefits program end-to-end, including renewals and provincial compliance
- Steward Anthropic's readiness to launch in additional Americas markets as our footprint grows
- Build finance-facing reporting: monthly claims analysis, PEPY and PEPM tracking, budget versus actual, and forward-looking projections in partnership with FP&A
- Own US compliance operations: ACA, ERISA, Section 125, non-discrimination testing, 5500 filings, and audit readiness
If you anchor in International, you will additionally:
- Lead end-to-end launches in new entity countries, from local-market scoping and broker selection through carrier negotiation, employee communications, and go-live
- Own the Benifex global platform rollout for assigned countries and ensure clean integration with Workday as the system of record
- Manage statutory and supplementary benefits across multiple EMEA and APAC markets, including pension, GLTD, GPA, and country-specific health and welfare programs
- Partner with the Head of Benefits to shape the international roadmap
Minimum qualifications
- Direct experience launching, redesigning, or financially stewarding a benefits program at scale
- Strong vendor and broker management skills, with a track record of holding carriers and brokers accountable to contracted terms
- Strong written communication and the ability to make nuanced tradeoffs legible to non-benefits stakeholders
- Comfort operating in ambiguity and building infrastructure where none exists
Preferred qualifications
- 7+ years of benefits experience, with deep regional ownership in either US health and welfare (with bonus for Canada) or international markets across EMEA and APAC
- A track record of using AI tools to make benefits operations, employee self-service, or stakeholder communications materially better
- Strong instincts for benefits as a strategic lever within total compensation, not as an operational cost center
- Cross-regional exposure beyond your primary anchor (e.g., a US benefits leader who has also stood up programs in Canada or internationally, or an international benefits leader who has owned US health and welfare for a US-headquartered company)
- Direct experience supporting or leading a self-funding transition
- Fluency with Workday and global benefits administration platforms (Benifex, Darwin, or similar)
- A track record of building benefits programs that hold up under audit, controls review, and external scrutiny
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
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Associate Director IT Business Systems R&D
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Mavericks Wanted
When was the last time you achieved the impossible? If that thought feels overwhelming, you might want to pause here, but if it sparks excitement...read on
In 2015, we pioneered a “moneyball for biotech” approach, pooling projects and promising early-stage research from academia together under one financial umbrella to reduce risk and unleash innovation. This model allows science and small teams of experts to lead the way. We build bridges to groundbreaking advancements in rare disease, and develop life-changing medicines for patients with unmet needs as fast as humanly possible.
Together we define white space, push boundaries, and empower people to solve problems. If you're someone who defies convention, join us and work alongside some of the most respected minds in the industry. Together, we'll ask "why not?" and help reengineer the future of biopharma. At BridgeBio, we value curiosity and experimentation—including the ethical & thoughtful use of AI to improve clarity, speed, and quality of work.
Responsibilities
- Support, administer, maintain IT systems supporting Quality and R&D, including Veeva Vault Quality, Clinical, RIM and Safety systems.
- Lead and oversee the migration of data and processes from legacy systems to Veeva (e.g., ZenQMS to Veeva Vault Quality) to ensure seamless transition, data integrity, and GxP compliance
- Partner with business leaders to understand their requirements and continuously improve user adoption and implement new systems, integrations, and GxP compliance initiatives
- Partner with Quality, Clinical, Regulatory, and Safety leaders to support business needs, implement roadmaps, identify, recommend solutions (e.g., Artificial Intelligence (AI)) to drive business value and accelerate innovation
- Work with Managed Service providers and internal IT teams for supporting and monitoring GxP-regulated systems to ensure high-quality service delivery
- Collaborate with CSV QA and compliance functions to validate and ensure alignment with regulatory requirements (e.g., GxP, HIPAA, GDPR)
- Establish governance, documentation, and change control procedures for GxP systems to ensure sustained compliance and operational excellence.
- Drive continuous improvement across the GxP systems landscape by assessing emerging technologies (e.g., AI) and optimizing workflows that support BridgeBio’s business strategy.
Where You’ll Work
- This is a local role and will require minimum 2 days in our San Francisco office.
Who You Are
- Bachelor’s degree in information technology, Computer Science, Business Administration, or related field; advanced degree preferred
- 7+ years of progressive IT experience within biotech/pharma, including at least 5 years supporting Veeva Quality systems
- Demonstrated expertise in GxP Quality processes, including document lifecycle management, training assignment and compliance tracking, deviation, CAPA, and change control workflows, and inspection readiness. Ability to partner with Quality stakeholders to design, configure, and continuously improve Veeva Vault QualityDocs,
- QMS, and Training solutions in alignment with regulatory expectations (e.g., FDA, EMA) and company SOPs
- Hands-on experience administering and supporting Veeva Vault Quality systems including RIM, Safety and eTMF is strongly preferred
- Experience applying AI/ML and generative AI solutions within GxP environments to improve Quality operations, including use cases such as intelligent document authoring, metadata extraction, quality event trend analysis, and training effectiveness insights, with a strong focus on validation, auditability, data privacy, and integration with Veeva Vault platforms.
- Skilled in leading cross-functional collaboration across Quality, Clinical, Regulatory, and DSPV teams to ensure system alignment and process harmonization
- Experienced in vendor and Managed Service Provider oversight to ensure reliable, compliant, and high-quality system performance
- Strong communication, leadership, and stakeholder management skills with the ability to translate technical concepts into business outcomes
As a global company, our comprehensive benefits may vary based on location. We have high expectations for our team members. We make sure those working hard for patients are rewarded and cared for in return.
For USA based roles:
Financial & Rewards
- Market-leading compensation
- 401(k) with employer match
- Employee Stock Purchase Program (ESPP)
- Pre-tax commuter benefits (transit and parking)
- Referral bonus for hired candidates
- Subsidized lunch and parking on in-office days
Health & Well-Being
- 100% employer-paid medical, dental, and vision premiums for you and your dependents
- Health Savings Account (HSA) with annual employer contributions, plus Flexible Spending Accounts (FSA)
- Fertility & family-forming benefits
- Expanded mental health support (therapy and coaching resources)
- Hybrid work model with flexibility
- Flexible, “take-what-you-need” paid time off and company-paid holidays
- Comprehensive paid medical and parental leave to care for yourself and your family
Skill Development & Career Paths:
- People are part of our growth and success story - from discovery to active drug trials and FDA pipelines, there are endless opportunities for skill development and internal mobility
- We provide career pathing through regular feedback, continuous education and professional development programs via LinkedIn Learning, LifeLabs, & BetterUp Coaching
- We celebrate strong performance with financial rewards, peer-to-peer recognition, and growth opportunities
Ready to apply?
Apply to BridgeBio Pharma
Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology. Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth.
POSITION SUMMARY:
The Business Process Manager (BPM) will support enterprise-wide process and systems transformation across multiple value streams (GTM, Finance, Operations, Partner, Support). This role sits within the Global Business Process team under the COO organization and serves as a key bridge between business stakeholders and the Business Systems Group (BSG).
The role helps standardize communication, resolve conflicting requirements, and foster effective interactions between business teams and technical teams. Leveraging data-driven insights and knowledge of enabling technologies, the individual manages significant business process improvement initiatives beyond incremental changes. This role leads discovery efforts, documents high-level solution approaches and business requirements, and drives business readiness through User Acceptance Testing (UAT), training, and enablement.
Under the direction of the Sr. Manager, Business Process, this role supports the development and continuous improvement of business process architecture for assigned operational domains such as Sales, Customer Success, Cloud Engineering, Supply Chain, Logistics and Support. The role conducts gap analyses, designs future-state (“To-Be”) processes using industry-standard frameworks and best practices and improves requirement quality through standardized documentation and prioritization. The position also leads assigned cross-functional initiatives to support timely delivery, risk mitigation, user adoption, and alignment with organizational goals.
The ideal candidate brings strong analytical, facilitation, and cross-functional leadership skills, and is effective at influencing stakeholders without formal authority in a fast-paced environment.
This position is based in the San Francisco office and requires in-office attendance Monday, Wednesday, and Thursday.
ESSENTIAL FUNCTIONS:
- Business Process Design and Analysis
- Support and maintain end-to-end business process architecture and process documentation for assigned business processes, aligned with enterprise strategy and standards.
- Lead transformation initiatives by conducting gap analyses between current ("As-Is") and ideal ("To-Be") end-to-end processes.
- Leveraging internal SMEs, industry-standard frameworks, and best practices, design future-state processes that are efficient and scalable globally pertaining to Record to Report, Procure to Pay, Billing, Subscription Management, Revenue Recognition, Renewals.
- Collaborate with GTM functions and cross-functional stakeholders to gather and translate high-priority business requirements into effective process solutions for New Product Launch.
- Solution and document UX requirements thoroughly to ensure solutions are user-friendly, drive high adoption rates, and align with business needs.
- Validate business requirements for compatibility with enterprise architecture, data strategies, and system capabilities, ensuring they support global scalability.
- Business Process Automation and Continuous Improvement
- Lead and advocate for automation projects with the Business Systems Group to streamline and scale critical business processes, leveraging Salesforce.com CRM, NetSuite, Tableau, Marketing Tool and other core technologies.
- Introduce innovative solutions by staying updated on industry trends and integrating best practices into process improvements.
- Identify significant improvement opportunities using data-driven insights and measure impacts with established metrics and KPIs.
- Enhance UX by ensuring process improvements are user-centric, well-documented, and supported by effective training and change management.
- Collaborate with technology teams to implement business processes that utilize core technology functionality and minimize customization.
- Program and Change Management
- Lead cross-functional programs focused on timely delivery, risk mitigation, and alignment with business strategy and objectives.
- Develop comprehensive testing plans, including user acceptance testing (UAT), to ensure solutions meet quality standards and deliver stated benefits.
- Implement structured change management processes, including training and resource support, to facilitate the seamless adoption of new processes.
- Promote continuous improvement by encouraging feedback and incorporating it into future enhancements, guiding stakeholders in improvement techniques.
- Maintain a centralized repository for change management materials and project updates to enhance accessibility and knowledge sharing.
SUPPORTIVE FUNCTIONS
- Technology and Tool Management
- Evaluate and recommend technologies to enhance the business processes and overall business capabilities.
- Plan and execute technology initiatives, ensuring alignment with business goals and efficient project delivery.
QUALIFICATIONS:
- 8+ years of experience in business process management, business systems analysis, operations, or program delivery.
- Exposure to Salesforce and/or NetSuite environments and integrated business workflows.
- Advanced knowledge of system integration across Salesforce, ERP, internal proprietary systems, and third-party apps.
- Experience working on multi-team, cross-functional initiatives across functions (not just one domain).
- Demonstrated expertise in business requirement analysis, technical analysis, business architecture, process design, quality assurance, data analysis, and solution or product ownership.
- Experience with technology/system development methodologies.
Background Preferred (but not required):
- Implementation experience of Salesforce
- Implementation experience of NetSuite
- Team management experience
Education:
Bachelor's degree in Business, Information Systems, Computer Science, or related field, or equivalent experience.
Economic Package Includes:
- Salary + annual bonus eligibility
- Company equity
- Company Paid Health Care, Dental, and Vision Coverage for you and most of your dependents
- Generous PTO and Sick Leave
- 401(K) with generous company match
- Disability, Life Insurance and Ancillary Benefits
- And much more
We are committed to an inclusive and diverse team. Netradyne is an equal-opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status.
If there is a match between your experiences/skills and the Company's needs, we will contact you directly.
Netradyne is an equal-opportunity employer.
Applicants only - Recruiting agencies do not contact.
Recruitment Fraud Alert!
There has been an increase in fraud that targets job seekers. Scammers may present themselves to job seekers as Netradyne employees or recruiters. Please be aware that Netradyne does not request sensitive personal data from applicants via text/instant message or any unsecured method; does not promise any advance payment for work equipment set-up and does not use recruitment or job-sourcing agencies that charge candidates an advance fee of any kind. Official communication about your application will only come from emails ending in ‘@netradyne.com’ or ‘@us-greenhouse-mail.io’.
Please review and apply to our available job openings at Netradyne.com/company/careers. For more information on avoiding and reporting scams, please visit the Federal Trade Commission's job scams website.
Ready to apply?
Apply to Netradyne
Merge is the leading provider of agentic tools and customer-facing integrations for frontier LLMs, Fortune 500 organizations, and B2B SaaS companies. Our platform offers two core products: Merge Unified, which enables businesses to add hundreds of integrations to their products with a single API, and Merge Agent Handler, which empowers AI agents with secure access to thousands of third-party tools. Merge's enterprise-grade platform handles the entire integration lifecycle, from authentication and security to monitoring and maintenance. Thousands of companies trust Merge to accelerate product development, unblock sales, reduce customer churn, and save engineering resources—allowing them to focus on their core product.
Merge is looking for a Technical Program Manager to drive complex, technical initiatives across our engineering organization. You'll be responsible for leading large-scale projects that enhance our product and infrastructure, working closely with engineering teams to ensure successful delivery while managing stakeholder relationships across the organization.
What you will do:
- Work closely with the R&D leadership (incl. Head of Engineering, Head of Security, Product Management, etc.) to ensure projects are executed effectively and meet deadlines
- Drive new products and features through the development process, serving as a central source of truth for the who, why, what, when, and how of projects you manage
- Develop the requirements to deliver projects successfully by working backwards from target outcomes
- Be a driving force in the organization of customer requests and issues, and collaborate with team leads to balance them against larger product initiatives
- Manage the lifecycle of Engineering tasks and projects, and collaborate cross functionally with stakeholders across the whole company
- Contribute to the maturation of internal tooling and processes that accelerate our teams and simplify delivery execution
The ideal candidate will have:
- 2+ years experience driving technical projects in professional settings, with technical program management experience being a plus
- Ability to balance multiple concurrent projects in an a fast-paced and frequently evolving environment
- Leadership experience that exemplifies curiosity, compassion, and empathy
- Ability to engage in technical discussion and invest in learning technical concepts
- Computer Science background or other technical / quantitative orientation
- Prior startup experience is a plus
- The cash compensation range for this role is $115,000 - $145,000.
- Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, and certifications. In addition to cash compensation, all full time employees receive an equity compensation package
Merge on the Rise:
- Unlimited PTO + 10 company holidays
- Pre-Tax commuter benefits
- 100% covered health, vision, and dental insurance
- 401K Plan
- $200 one-time home office stipend
- In office snacks and free dinner when working past 7pm
Merge is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other protected class.
Ready to apply?
Apply to Merge API
Product Manager, Terminal Device Expansion
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About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
Stripe Terminal helps our users extend their online presence to the physical world. The Terminal team’s mission is to make it as easy for businesses to accept in-person payments as the Stripe API has done for online payments. With Terminal, businesses can unlock in-person payments use cases that are right for their business model—whether it’s creating a superb retail experience, extending their website to a pop-up store, or enabling a mobile point-of-sale at their next event.
We’re looking for an experienced product manager to lead and shape the future of the software platform that powers Stripe Terminal’s devices portfolio. Working closely with your engineering partners you will design, build and launch device software capabilities that delight users and differentiate Stripe’s solutions in the market. Working closely with our hardware experts you will build the multi-year strategy for how Stripe will continue to enhance the scalability, reliability, usability, and market differentiation of the software capabilities of our in-person commerce devices.
In this role, you will work with a spectrum of users, from our largest platforms to small start ups as well as external technology partners to deeply understand user needs and market trends. You will obsess over stability, scalability, and expanding our product while delivering the best in person experiences in the world.
What you'll do:
Set a motivating multi-year vision for device software in partnership with the Hardware team and then break it down into measurable, meaningful milestones for the Terminal OS Platform Team and the Firmware team. This includes creating buy-in, crafting roadmaps and OKRs, and navigating trade-offs.
- Partner with software and hardware engineers to deeply understand the technology that our devices rely on and how to build on that technology to support exponential growth and a world-class user experience. These experiences will include (but are not limited to) device boot up, device software updates (including AOSP, firmware and applications), device security, software and device performance, connectivity and devices accessories.
- Partner with cross-functional partners to research, document, and deeply understand what Terminal customers need to enable an excellent in person payments experience.
- Build empathy with our end users and the differentiation they aim to deliver for their merchants.
- Deeply research and understand the competitive landscape and translate that understanding into differentiating features for your product suite.
- Collaborate with the Partnerships team to develop a compelling roadmap for how we can extend Terminal growth via third-party hardware partnerships and clearly communicate the business value of these partnerships in the context of our wider Terminal Hardware roadmap to gain alignment across Terminal and Stripe leadership.
- Use metrics to inform your point of view and leverage analytics to measure success.
- Define product requirements, provide clear guidance on prioritization, and support decisions related to development sequencing. You will also participate in sprint planning rituals to deliver against those requirements and the overall roadmap.
- Leverage your technical knowledge and experience to help your team make technical trade off decisions.
We’re looking for someone who has:
- 8+ years of product management experience or equivalent
- Demonstrated success and strong execution track record in building and sustaining scalable technology products.
- Great interpersonal skills and strong verbal and written communication. You can collaborate and thrive in productive, healthy debate done with mutual respect and shared goals. You can make complex concepts accessible with clear communication
- Proven track record of successful stakeholder management including executive communications, handling escalations, and advocating for ongoing investment in your product.
- Experience working on products with developer interfaces (App deployment, APIs, SDKs); hardware or hardware-related product experience a plus.
- Technically adept systems thinker, ideally with a Computer Science or equivalent degree or experience working as a software engineer
- Open to travel to Asia, including traveling at times to our Hong Kong or Taiwan locations.
Experience in 1 - 2 of the following areas are nice to have:
- Mobile device management
- Android operating system internals
- Hardware build and lifecycle management
- Payments and/or eCommerce
- Experience successfully building and launching 0-1 products
Ready to apply?
Apply to Stripe
Who we are
About Stripe
Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
What you’ll do
Responsibilities
- Build and manage user facing products and platforms to lower Stripe’s financial and regulatory risk while retaining a best in class user experience
- Translate business problems into scalable engineering solutions
- Collaborate with stakeholders from engineering, product, policy, legal, operations, and data science teams
- Debug production issues across services and multiple levels of the stack
- Improve engineering standards, tooling, and processes; Identify, analyze, and quickly address emerging risk patterns.
Who you are
Minimum requirements
- Bachelor’s degree or foreign equivalent in Computer Science or related field plus 5 years of software engineering experience.
- 5 years of experience building software solutions in Python, Ruby, Java or similar;
- 5 years of experience designing, building, and maintaining scalable systems;
- 5 years of experience translating business needs into software requirements and designs;
- 5 years of experience debugging production issues across services and multiple levels of the stack;
- 5 years of experience with distributed systems.
Salary: $213,512 - $285,600/yr.
This salary range represents the base salary range for the role and any sales commissions/sales bonuses targets, if applicable, would be in addition to the base salary.
40 hrs/week
Full remote work permitted.
Multiple Positions Available.
Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.CA07
#LI-DNI
Ready to apply?
Apply to Stripe
Who we are
About Stripe
Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
What you’ll do
Responsibilities
- Design, build, and maintain APls, services, and systems across Stripes engineering teams using Ruby, Java, and Go
- Build software infrastructure, including developing, testing, and deploying it
- Design and develop software systems, using scientific analysis and mathematical models to predict and measure outcome and consequences of design
- Develop and direct software system testing and validation procedures, programming, and documentation
- Debug production issues across services and multiple levels of the stack
- Analyze user needs and software requirements to determine the feasibility of design within time and cost constraints
- Work with engineers across the company to build new features at large-scale; Build new systems to securely store sensitive data; Improve engineering standards, tooling, and processes.
Who you are
Minimum requirements
This position requires the following:
- Bachelor's degree or foreign equivalent in Computer Science, Software Engineering, Computer Engineering or a related field.
- 1 year of Software Engineering experience.
- 1 year of experience working with Python, Java, Go programming languages.
- 1 year of experience working with AWS cloud infrastructure (e.g. S3, EC2, EBS etc.).
- 1 year of experience implementing industry standard design patterns.
- 1 year of software engineering experience in building distributed backend applications at scale.
- 1 year of software engineering experience in building low latency systems.
Pay and benefits
Salary : $156,800 - $235,200/yr.
40 hrs/week
50% Telecommuting Permitted.
Multiple Positions Available.
Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. CA06.
Ready to apply?
Apply to Stripe
Senior Engineering Manager, Acquisition
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Why join us
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Engineering
Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.
What you’ll do
You will lead the engineering group responsible for driving Brex’s growth engine. This role involves strategic planning, team management, technical guidance, and cross-functional collaboration. The ideal candidate is a seasoned engineering leader with a strong background in driving growth.
Where you’ll work
This role will be based in our Vancouver office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
Responsibilities
- Lead and mentor high-performing teams of both product engineers and Salesforce admins and developers, fostering their career development through coaching, feedback, and hands-on guidance.
- Drive the architectural vision, technical roadmap, and project execution for our Salesforce platform, GTM applications, and Marketing website (Brex.com), ensuring scalability, performance, and security.
- Champion and integrate AI-native solutions within our Sales, Marketing, Operations, and CX systems and workflows of your teams to drive efficiency and unlock new capabilities.
- Partner with stakeholders across Sales, Marketing, Operations, and CX, acting as a strategic advisor to translate business needs into a prioritized engineering backlog while being jointly accountable to business metrics such as CAC, payback, and rep capacity.
- Own the operational excellence of your group, managing sprint capacity, removing blockers, and ensuring high-velocity, high-quality delivery.
- Establish and enforce engineering best practices for Sales and Marketing applications and the Salesforce ecosystem, including advanced DevOps (CI/CD, source control, release management), code quality, and system governance.
- Design and oversee the implementation of complex integrations and automation across our GTM systems and third-party applications, including owning build vs buy decisions.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 8+ years of software engineering experience with a strong technical background, with 3+ years of experience managing or leading multiple technical teams in a high-growth environment.
- 3+ years of progressive experience in Salesforce development and architecture.
- Deep expertise in the Salesforce platform, including Apex, Lightning Web Components, SOQL, and platform APIs.
- Experience architecting and building robust integrations between Salesforce and a broader ecosystem of GTM tools and third-party applications.
- Excellent interpersonal and relationship-building skills with the ability to manage and communicate effectively with XFN partners (e.g. Sales, Marketing, CX, and Operations) at all levels, from individual contributors to senior leadership.
- A strategic mindset with the ability to balance long-term platform health with immediate business needs, and a proven ability to prioritize and push back when work is not aligned with company goals.
- A passion for leveraging AI to improve both team productivity and the products you build.
Bonus points
- Salesforce certifications (e.g., Platform Developer II, Application/System Architect).
- Experience managing remote or distributed engineering teams.
- Former founders welcome.
- Experience building Slack applications and integrations.
- Experience with B2B growth.
- You have started your own technology venture or were a foundational engineering member of an early-stage start up. We value entrepreneurial spirit & scrappiness!
- You are a champion for the customer and constantly put yourself in the shoes of your users, and strive to create an intuitive and delightful experience.
Compensation
The expected salary range for this role is $300,000 - $375,000 CAD. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
Brex LLC is a wholly owned subsidiary of Capital One, N.A.
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
Ready to apply?
Apply to Brex
Senior Engineering Manager, Acquisition
Share this job
Why join us
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Engineering
Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.
What you’ll do
You will lead the engineering group responsible for driving Brex’s growth engine. This role involves strategic planning, team management, technical guidance, and cross-functional collaboration. The ideal candidate is a seasoned engineering leader with a strong background in driving growth.
Where you’ll work
This role will be based in our Seattle office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
Responsibilities
- Lead and mentor high-performing teams of both product engineers and Salesforce admins and developers, fostering their career development through coaching, feedback, and hands-on guidance.
- Drive the architectural vision, technical roadmap, and project execution for our Salesforce platform, GTM applications, and Marketing website (Brex.com), ensuring scalability, performance, and security.
- Champion and integrate AI-native solutions within our Sales, Marketing, Operations, and CX systems and workflows of your teams to drive efficiency and unlock new capabilities.
- Partner with stakeholders across Sales, Marketing, Operations, and CX, acting as a strategic advisor to translate business needs into a prioritized engineering backlog while being jointly accountable to business metrics such as CAC, payback, and rep capacity.
- Own the operational excellence of your group, managing sprint capacity, removing blockers, and ensuring high-velocity, high-quality delivery.
- Establish and enforce engineering best practices for Sales and Marketing applications and the Salesforce ecosystem, including advanced DevOps (CI/CD, source control, release management), code quality, and system governance.
- Design and oversee the implementation of complex integrations and automation across our GTM systems and third-party applications, including owning build vs buy decisions.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 8+ years of software engineering experience with a strong technical background, with 3+ years of experience managing or leading multiple technical teams in a high-growth environment.
- 3+ years of progressive experience in Salesforce development and architecture.
- Deep expertise in the Salesforce platform, including Apex, Lightning Web Components, SOQL, and platform APIs.
- Experience architecting and building robust integrations between Salesforce and a broader ecosystem of GTM tools and third-party applications.
- Excellent interpersonal and relationship-building skills with the ability to manage and communicate effectively with XFN partners (e.g. Sales, Marketing, CX, and Operations) at all levels, from individual contributors to senior leadership.
- A strategic mindset with the ability to balance long-term platform health with immediate business needs, and a proven ability to prioritize and push back when work is not aligned with company goals.
- A passion for leveraging AI to improve both team productivity and the products you build.
Bonus points
- Salesforce certifications (e.g., Platform Developer II, Application/System Architect).
- Experience managing remote or distributed engineering teams.
- Former founders welcome.
- Experience building Slack applications and integrations.
- Experience with B2B growth.
- You have started your own technology venture or were a foundational engineering member of an early-stage start up. We value entrepreneurial spirit & scrappiness!
- You are a champion for the customer and constantly put yourself in the shoes of your users, and strive to create an intuitive and delightful experience.
Compensation
The expected salary range for this role is $300,000 - $375,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
Brex LLC is a wholly owned subsidiary of Capital One, N.A.
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
Ready to apply?
Apply to Brex
Senior Engineering Manager, Acquisition
Share this job
Why join us
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Engineering
Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.
What you’ll do
You will lead the engineering group responsible for driving Brex’s growth engine. This role involves strategic planning, team management, technical guidance, and cross-functional collaboration. The ideal candidate is a seasoned engineering leader with a strong background in driving growth.
Where you’ll work
This role will be based in our New York office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
Responsibilities
- Lead and mentor high-performing teams of both product engineers and Salesforce admins and developers, fostering their career development through coaching, feedback, and hands-on guidance.
- Drive the architectural vision, technical roadmap, and project execution for our Salesforce platform, GTM applications, and Marketing website (Brex.com), ensuring scalability, performance, and security.
- Champion and integrate AI-native solutions within our Sales, Marketing, Operations, and CX systems and workflows of your teams to drive efficiency and unlock new capabilities.
- Partner with stakeholders across Sales, Marketing, Operations, and CX, acting as a strategic advisor to translate business needs into a prioritized engineering backlog while being jointly accountable to business metrics such as CAC, payback, and rep capacity.
- Own the operational excellence of your group, managing sprint capacity, removing blockers, and ensuring high-velocity, high-quality delivery.
- Establish and enforce engineering best practices for Sales and Marketing applications and the Salesforce ecosystem, including advanced DevOps (CI/CD, source control, release management), code quality, and system governance.
- Design and oversee the implementation of complex integrations and automation across our GTM systems and third-party applications, including owning build vs buy decisions.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 8+ years of software engineering experience with a strong technical background, with 3+ years of experience managing or leading multiple technical teams in a high-growth environment.
- 3+ years of progressive experience in Salesforce development and architecture.
- Deep expertise in the Salesforce platform, including Apex, Lightning Web Components, SOQL, and platform APIs.
- Experience architecting and building robust integrations between Salesforce and a broader ecosystem of GTM tools and third-party applications.
- Excellent interpersonal and relationship-building skills with the ability to manage and communicate effectively with XFN partners (e.g. Sales, Marketing, CX, and Operations) at all levels, from individual contributors to senior leadership.
- A strategic mindset with the ability to balance long-term platform health with immediate business needs, and a proven ability to prioritize and push back when work is not aligned with company goals.
- A passion for leveraging AI to improve both team productivity and the products you build.
Bonus points
- Salesforce certifications (e.g., Platform Developer II, Application/System Architect).
- Experience managing remote or distributed engineering teams.
- Former founders welcome.
- Experience building Slack applications and integrations.
- Experience with B2B growth.
- You have started your own technology venture or were a foundational engineering member of an early-stage start up. We value entrepreneurial spirit & scrappiness!
- You are a champion for the customer and constantly put yourself in the shoes of your users, and strive to create an intuitive and delightful experience.
Compensation
The expected salary range for this role is $300,000 - $375,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
Brex LLC is a wholly owned subsidiary of Capital One, N.A.
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
Ready to apply?
Apply to Brex
Senior Engineering Manager, Acquisition
Share this job
Why join us
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Engineering
Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.
What you’ll do
You will lead the engineering group responsible for driving Brex’s growth engine. This role involves strategic planning, team management, technical guidance, and cross-functional collaboration. The ideal candidate is a seasoned engineering leader with a strong background in driving growth.
Where you’ll work
This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
Responsibilities
- Lead and mentor high-performing teams of both product engineers and Salesforce admins and developers, fostering their career development through coaching, feedback, and hands-on guidance.
- Drive the architectural vision, technical roadmap, and project execution for our Salesforce platform, GTM applications, and Marketing website (Brex.com), ensuring scalability, performance, and security.
- Champion and integrate AI-native solutions within our Sales, Marketing, Operations, and CX systems and workflows of your teams to drive efficiency and unlock new capabilities.
- Partner with stakeholders across Sales, Marketing, Operations, and CX, acting as a strategic advisor to translate business needs into a prioritized engineering backlog while being jointly accountable to business metrics such as CAC, payback, and rep capacity.
- Own the operational excellence of your group, managing sprint capacity, removing blockers, and ensuring high-velocity, high-quality delivery.
- Establish and enforce engineering best practices for Sales and Marketing applications and the Salesforce ecosystem, including advanced DevOps (CI/CD, source control, release management), code quality, and system governance.
- Design and oversee the implementation of complex integrations and automation across our GTM systems and third-party applications, including owning build vs buy decisions.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 8+ years of software engineering experience with a strong technical background, with 3+ years of experience managing or leading multiple technical teams in a high-growth environment.
- 3+ years of progressive experience in Salesforce development and architecture.
- Deep expertise in the Salesforce platform, including Apex, Lightning Web Components, SOQL, and platform APIs.
- Experience architecting and building robust integrations between Salesforce and a broader ecosystem of GTM tools and third-party applications.
- Excellent interpersonal and relationship-building skills with the ability to manage and communicate effectively with XFN partners (e.g. Sales, Marketing, CX, and Operations) at all levels, from individual contributors to senior leadership.
- A strategic mindset with the ability to balance long-term platform health with immediate business needs, and a proven ability to prioritize and push back when work is not aligned with company goals.
- A passion for leveraging AI to improve both team productivity and the products you build.
Bonus points
- Salesforce certifications (e.g., Platform Developer II, Application/System Architect).
- Experience managing remote or distributed engineering teams.
- Former founders welcome.
- Experience building Slack applications and integrations.
- Experience with B2B growth.
- You have started your own technology venture or were a foundational engineering member of an early-stage start up. We value entrepreneurial spirit & scrappiness!
- You are a champion for the customer and constantly put yourself in the shoes of your users, and strive to create an intuitive and delightful experience.
Compensation
The expected salary range for this role is $300,000 - $375,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
Brex LLC is a wholly owned subsidiary of Capital One, N.A.
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
Ready to apply?
Apply to Brex
Engineering Manager, GTM Engineering
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Why join us
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Engineering
Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.
What you’ll do
You will lead the engineering team responsible for Brex’s GTM Engineering surfaces, enabling our growth engine across Marketing, Sales, and self-serve funnels. This role focuses on building and optimizing our marketing website (Brex.com), GTM applications, top-of-funnel experiences, and AI-powered systems that increase efficiency, reduce CAC, and improve sales and marketing effectiveness.
Where you’ll work
This role will be based in our Vancouver office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
Responsibilities
- Lead and mentor a high-performing team of product engineers, fostering their career development through coaching, feedback, and hands-on guidance.
- Drive the architectural vision, technical roadmap, and project execution for Brex.com, GTM applications, and top-of-funnel growth systems, ensuring scalability, performance, and security.
- Champion and integrate AI-native solutions within our Marketing, Sales, and Operations workflows to drive efficiency and unlock new capabilities.
- Operate at all levels, guiding your team through complex technical challenges while staying close to the code and contributing to design.
- Partner with stakeholders across Marketing, Sales, and Growth, acting as a strategic advisor to translate business needs into a prioritized engineering backlog while being jointly accountable to business metrics such as CAC, payback, and conversion rates.
- Align ad-hoc requests to broader business strategy, ensuring the team is focused on the most impactful work and confidently declining projects that are not strategically aligned.
- Own the operational excellence of your team, managing sprint capacity, removing blockers, and ensuring high-velocity, high-quality delivery.
- Establish and enforce engineering best practices for GTM applications and growth surfaces, including CI/CD, source control, code quality, observability, and system governance.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 6+ years of software engineering experience with strong technical depth
- 3+ years of experience managing or leading engineers in a high-growth environment.
- Experience architecting and building growth surfaces or marketing engineering systems.
- Strong frontend, data, and backend technical fundamentals, with experience in modern frameworks.
- Experience with GTM systems, marketing automation tools, experimentation platforms, or analytics instrumentation.
- Excellent interpersonal and relationship-building skills with the ability to manage and communicate effectively with XFN partners in Sales and Marketing at all levels.
- A growth-hacking, AI-native mindset with a proven ability to design and execute GTM strategies that drive meaningful revenue impact.
Bonus points
- Experience managing remote or distributed engineering teams.
- Experience with B2B growth.
- You have started your own technology venture or were a foundational engineering member of an early-stage start up. We value entrepreneurial spirit & scrappiness!
Compensation
The expected salary range for this role is $240,000 CAD - $300,000 CAD. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
Brex LLC is a wholly owned subsidiary of Capital One, N.A.
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
Ready to apply?
Apply to Brex
Engineering Manager, GTM Engineering
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Why join us
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Engineering
Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.
What you’ll do
You will lead the engineering team responsible for Brex’s GTM Engineering surfaces, enabling our growth engine across Marketing, Sales, and self-serve funnels. This role focuses on building and optimizing our marketing website (Brex.com), GTM applications, top-of-funnel experiences, and AI-powered systems that increase efficiency, reduce CAC, and improve sales and marketing effectiveness.
Where you’ll work
This role will be based in our Seattle office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
Responsibilities
- Lead and mentor a high-performing team of product engineers, fostering their career development through coaching, feedback, and hands-on guidance.
- Drive the architectural vision, technical roadmap, and project execution for Brex.com, GTM applications, and top-of-funnel growth systems, ensuring scalability, performance, and security.
- Champion and integrate AI-native solutions within our Marketing, Sales, and Operations workflows to drive efficiency and unlock new capabilities.
- Operate at all levels, guiding your team through complex technical challenges while staying close to the code and contributing to design.
- Partner with stakeholders across Marketing, Sales, and Growth, acting as a strategic advisor to translate business needs into a prioritized engineering backlog while being jointly accountable to business metrics such as CAC, payback, and conversion rates.
- Align ad-hoc requests to broader business strategy, ensuring the team is focused on the most impactful work and confidently declining projects that are not strategically aligned.
- Own the operational excellence of your team, managing sprint capacity, removing blockers, and ensuring high-velocity, high-quality delivery.
- Establish and enforce engineering best practices for GTM applications and growth surfaces, including CI/CD, source control, code quality, observability, and system governance.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 6+ years of software engineering experience with strong technical depth
- 3+ years of experience managing or leading engineers in a high-growth environment.
- Experience architecting and building growth surfaces or marketing engineering systems.
- Strong frontend, data, and backend technical fundamentals, with experience in modern frameworks.
- Experience with GTM systems, marketing automation tools, experimentation platforms, or analytics instrumentation.
- Excellent interpersonal and relationship-building skills with the ability to manage and communicate effectively with XFN partners in Sales and Marketing at all levels.
- A growth-hacking, AI-native mindset with a proven ability to design and execute GTM strategies that drive meaningful revenue impact.
Bonus points
- Experience managing remote or distributed engineering teams.
- Experience with B2B growth.
- You have started your own technology venture or were a foundational engineering member of an early-stage start up. We value entrepreneurial spirit & scrappiness!
Compensation
The expected salary range for this role is $240,000 - $300,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
Brex LLC is a wholly owned subsidiary of Capital One, N.A.
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
Ready to apply?
Apply to Brex
Engineering Manager, GTM Engineering
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Why join us
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Engineering
Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.
What you’ll do
You will lead the engineering team responsible for Brex’s GTM Engineering surfaces, enabling our growth engine across Marketing, Sales, and self-serve funnels. This role focuses on building and optimizing our marketing website (Brex.com), GTM applications, top-of-funnel experiences, and AI-powered systems that increase efficiency, reduce CAC, and improve sales and marketing effectiveness.
Where you’ll work
This role will be based in our New York office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
Responsibilities
- Lead and mentor a high-performing team of product engineers, fostering their career development through coaching, feedback, and hands-on guidance.
- Drive the architectural vision, technical roadmap, and project execution for Brex.com, GTM applications, and top-of-funnel growth systems, ensuring scalability, performance, and security.
- Champion and integrate AI-native solutions within our Marketing, Sales, and Operations workflows to drive efficiency and unlock new capabilities.
- Operate at all levels, guiding your team through complex technical challenges while staying close to the code and contributing to design.
- Partner with stakeholders across Marketing, Sales, and Growth, acting as a strategic advisor to translate business needs into a prioritized engineering backlog while being jointly accountable to business metrics such as CAC, payback, and conversion rates.
- Align ad-hoc requests to broader business strategy, ensuring the team is focused on the most impactful work and confidently declining projects that are not strategically aligned.
- Own the operational excellence of your team, managing sprint capacity, removing blockers, and ensuring high-velocity, high-quality delivery.
- Establish and enforce engineering best practices for GTM applications and growth surfaces, including CI/CD, source control, code quality, observability, and system governance.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 6+ years of software engineering experience with strong technical depth
- 3+ years of experience managing or leading engineers in a high-growth environment.
- Experience architecting and building growth surfaces or marketing engineering systems.
- Strong frontend, data, and backend technical fundamentals, with experience in modern frameworks.
- Experience with GTM systems, marketing automation tools, experimentation platforms, or analytics instrumentation.
- Excellent interpersonal and relationship-building skills with the ability to manage and communicate effectively with XFN partners in Sales and Marketing at all levels.
- A growth-hacking, AI-native mindset with a proven ability to design and execute GTM strategies that drive meaningful revenue impact.
Bonus points
- Experience managing remote or distributed engineering teams.
- Experience with B2B growth.
- You have started your own technology venture or were a foundational engineering member of an early-stage start up. We value entrepreneurial spirit & scrappiness!
Compensation
The expected salary range for this role is $240,000 - $300,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
Brex LLC is a wholly owned subsidiary of Capital One, N.A.
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
Ready to apply?
Apply to Brex
Engineering Manager, GTM Engineering
Share this job
Why join us
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Engineering
Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.
What you’ll do
You will lead the engineering team responsible for Brex’s GTM Engineering surfaces, enabling our growth engine across Marketing, Sales, and self-serve funnels. This role focuses on building and optimizing our marketing website (Brex.com), GTM applications, top-of-funnel experiences, and AI-powered systems that increase efficiency, reduce CAC, and improve sales and marketing effectiveness.
Where you’ll work
This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
Responsibilities
- Lead and mentor a high-performing team of product engineers, fostering their career development through coaching, feedback, and hands-on guidance.
- Drive the architectural vision, technical roadmap, and project execution for Brex.com, GTM applications, and top-of-funnel growth systems, ensuring scalability, performance, and security.
- Champion and integrate AI-native solutions within our Marketing, Sales, and Operations workflows to drive efficiency and unlock new capabilities.
- Operate at all levels, guiding your team through complex technical challenges while staying close to the code and contributing to design.
- Partner with stakeholders across Marketing, Sales, and Growth, acting as a strategic advisor to translate business needs into a prioritized engineering backlog while being jointly accountable to business metrics such as CAC, payback, and conversion rates.
- Align ad-hoc requests to broader business strategy, ensuring the team is focused on the most impactful work and confidently declining projects that are not strategically aligned.
- Own the operational excellence of your team, managing sprint capacity, removing blockers, and ensuring high-velocity, high-quality delivery.
- Establish and enforce engineering best practices for GTM applications and growth surfaces, including CI/CD, source control, code quality, observability, and system governance.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 6+ years of software engineering experience with strong technical depth
- 3+ years of experience managing or leading engineers in a high-growth environment.
- Experience architecting and building growth surfaces or marketing engineering systems.
- Strong frontend, data, and backend technical fundamentals, with experience in modern frameworks.
- Experience with GTM systems, marketing automation tools, experimentation platforms, or analytics instrumentation.
- Excellent interpersonal and relationship-building skills with the ability to manage and communicate effectively with XFN partners in Sales and Marketing at all levels.
- A growth-hacking, AI-native mindset with a proven ability to design and execute GTM strategies that drive meaningful revenue impact.
Bonus points
- Experience managing remote or distributed engineering teams.
- Experience with B2B growth.
- You have started your own technology venture or were a foundational engineering member of an early-stage start up. We value entrepreneurial spirit & scrappiness!
Compensation
The expected salary range for this role is $240,000 - $300,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
Brex LLC is a wholly owned subsidiary of Capital One, N.A.
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
Ready to apply?
Apply to Brex
Automotive - Porter
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Join the Team at Stress-Free Auto Care: Where Your Skills and Passion Drive Success!
Stress Free Auto Care is redefining the auto repair experience by delivering exceptional service with honesty, transparency, and convenience. Our mission is simple: make auto care a stress-free, trustworthy experience for everyone. Join us on this exciting journey and play a pivotal role in reshaping the automotive service industry!
Stress-Free Auto Care is a modern, tech-enabled shop that believes taking care of your car should be an easy and stress-free experience. We’re seeking energetic, positive-minded technicians who embrace challenges with enthusiasm and prioritize guest satisfaction above all else.
Benefits
- Competitive Base Pay: $25/hr
- Uncapped Weekly Performance Bonus
- PTO & (6) Annual Paid Holidays
- Medical, Dental & Vision Insurance
- 401(k) Matching
- Paid Skills Enhancement Training
- Employee Discounts - Services & Parts
- Equipment/Toolbox Relocation Assistance
- Employee Referral Program
Responsibilities
- Troubleshoot guest concerns, collaborating with other techs as needed to diagnose accurately.
- Complete detailed preventative maintenance reports using digital visual inspections.
- Maintain communication with the service department to keep customers informed.
- Support housekeeping duties as needed.
- Uphold high standards for safety, cleanliness, and organization.
- Adhere to federal, state, and local regulations governing service operations, including protocols for hazardous waste disposal and OSHA standards.
Qualifications
- 1+ years prior experience in a similar role - lot attendant, detailer, car washer, or valet
- Valid driver’s license & clean driving record
- Have necessary set of tools to perform repairs & maintenance
- Attention to detail and ability to work in a fast paced environment to meet or exceed hourly goals
Physical Requirements
- Occasionally lift and/or move over 50 pounds
- Be able to work with tools on vehicles lifted above their head
- Work in tight spaces as dictated by the vehicle's needed repair
- Have the needed dexterity in order to efficiently use hand-tools
- Walk/stand for the majority of the workday
- Drive manual transmission vehicles
- Keeping a brisk work pace in a high-volume environment
- Efficiently navigate a computer
Ready to Elevate Your Career? If you’re interested in joining a supportive team that values your skills and dedication, we’d love to hear from you! Apply today to help us redefine automotive care.
Ready to apply?
Apply to Stress Free Auto Care
Automotive Technician
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Join the Team at Stress-Free Auto Care: Where Your Skills and Passion Drive Success!
Stress Free Auto Care is redefining the auto repair experience by delivering exceptional service with honesty, transparency, and convenience. Our mission is simple: make auto care a stress-free, trustworthy experience for everyone. Join us on this exciting journey and play a pivotal role in reshaping the automotive service industry!
Immediate openings for both A Level Master Technician & B Level Technicians with open WEEKEND availability
Join the Team That’s Redefining Auto Repair
Stress-Free Auto Care is growing fast, and we’re looking for talented Automotive Technicians to grow with us. If you want to work in a supportive, forward-thinking environment where your expertise is valued and your career can thrive, you’re in the right place.
With 32 locations today and 45+ projected by 2026, this is an exciting opportunity to join a company that’s accelerating—while still putting people first.
Who We’re Looking For
Experienced technicians who excel in a fast-paced, team-oriented setting and are passionate about delivering high-quality, transparent auto care.
Location: 2941 Geary Blvd, San Francisco, CA 94118
What We Offer:
- Competitive Hourly Pay: Up to $75 per hour based on years of experience!
- Performance Bonus: Up to $10 per billable hour!
Benefits That Work for You
- Comprehensive Health Coverage: Medical, dental, and vision
- PTO + Paid Holidays401(k) with Company Match
- Paid Training & Career Development
- Employee Discounts on Parts & Services
- Referral Bonuses for Qualified Candidates
As a Stress-Free Auto Care technician, you’ll:
- Diagnose and repair a wide range of automotive systems
- Collaborate with a skilled, supportive team
- Interact with customers to deliver transparent, high-quality service
- Work in a shop built around respect, communication, and continuous improvement
We provide the tools, resources, and environment you need to succeed—so you can focus on doing what you do best.
Pay/Years of experience breakdown:
- A Level: 7-10+ years of experience
- Up to $75 an hour
- B Level: 2-7 years of experience
- Up to $50 an hour
- Tire Tech/C Level: 6 months-2 years of experience
- Up to $32 an hour
- Occasionally lift and/or move over 50 pounds
- Be able to work with tools on vehicles lifted above their head
- Work in tight spaces as dictated by the vehicle's needed repair
- Have the needed dexterity in order to efficiently use hand-tools
- Walk/stand for the majority of the workday
- Drive manual transmission vehicles
- Keeping a brisk work pace in a high-volume environment
- Efficiently navigate a computer
Disclaimer:
Please do not contact store locations directly for hiring updates or inquiries. All communication regarding your application will be handled through our official hiring channels. We do not partner with staffing or recruiting agencies—unsolicited outreach from third parties will be ignored. Thank you for helping us maintain a smooth, efficient hiring process.
Ready to Elevate Your Career? If you’re interested in joining a supportive team that values your skills and dedication, we’d love to hear from you! Apply today to help us redefine automotive care.
Ready to apply?
Apply to Stress Free Auto Care
Join the company that’s building the telemetry infrastructure for the AI era. At Cribl, we partner with IT and Security teams at many of the world’s biggest enterprises, including half of the Fortune 100, to bridge the gap between AI ambition and infrastructure reality. As the AI Platform for Telemetry, we give customers the choice, control, and flexibility to manage and analyze telemetry for both humans and agents, so they can build what’s next.
We’re one of the fastest‑growing private companies and a leading player in a massive, fast‑moving market. With a global workforce, we’re remote‑first and grounded in a simple idea: software is a people business. Cribl is the place where curious, collaborative people can do their best work, grow fast, and bring their full selves to the herd.
Why You’ll Love This Role
Our Customer Experience (CX) Operations team manages post-sales programs that drive onboarding, adoption, and long-term customer success. From communications to workshops to reporting and tooling, we deliver the infrastructure that helps Cribl customers thrive and internal teams stay productive.
We’re looking for a curious, organized, and driven 2026 graduate who’s excited to learn how operations support the customer journey. This internship is designed as a 3-month “intern-to-hire” opportunity. During that time, you’ll receive hands-on training and begin supporting key programs. If there’s mutual alignment and demonstrated success, we’ll look to bring you on full-time at the end of the internship.
This is a hybrid role with in-office time at Cribl HQ in San Francisco on average once per week. Candidates must be located in the Bay Area.
As An Active Member Of Our Team, You Will…
- Acquire foundational system administration expertise with Gainsight as Cribl’s Customer Success platform
- Learn Customer Experience Programs and Operations at a fast paced technology company
- Gain hands-on learning and experience with program and project management
- Contribute to customer program operations and be exposed to related opportunities within Cribl
- Establish a foundation for a career in Customer Operations at Cribl and beyond
- With coaching and guidance, you are able to independently own a program management and operate a workstream within CX Operations or related functions with accuracy, accountability and timeliness.
If You've Got It - We Want It
- A BA or BS degree from an accredited college or university (graduating 2026), ideally in technology, data science, or a related field with Computer Science
- Strong communication skills and a customer-first mindset—you’re comfortable engaging with others and keeping things organized
- Prior internship or campus experience in tech, operations, customer support, or program coordination preferred but not required
- Proven time management skills; you’ve juggled deadlines, group projects, or leadership roles
- Eager to learn, take feedback, and grow in a fast-paced environment
- Quick learner with solid problem-solving instincts and attention to detail
- Comfortable using tools like Google Workspace, and other communication tools such as Zoom, Slack, etc.
- Located in the San Francisco Bay Area and is able to commute to Cribl’s SF HQ office once per week
- Demonstrated ability and aptitude to quickly learn the job requirements, adapt to changes, function well in a team environment, able to collaborate cross functionally, and meaningfully contribute to operational success.
- Bonus points:
- Candidate who can not only deliver based on instructions, but also bring their curiosity, enthusiasm and fresh set of eyes to introduce new ideas for process improvements. Extra focus on knowledge and ability in reporting and data analytics.
The salary for this role is dependent on geographic location. The salary offered within the range described will be based on the individual candidate’s job-related knowledge, skills, and experience. In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), equity, and eligibility for a discretionary company-wide bonus.
Hourly Rate $32hr. Salary upon conversion: $75k-$85k plus 15% bonus and equity.
#LI-KM1
#LI-Remote
Bring Your Whole Self
Diversity drives innovation, enables better decisions to support our customers, and inspires change for the better. We’re building a culture where differences are valued and welcomed, and we work together to bring out the best in each other. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.
Interested in joining the Cribl herd? Learn more about the smartest, funniest, most passionate goats you’ll ever meet at cribl.io/about-us.
Ready to apply?
Apply to Cribl
Staff Machine Learning Engineer - Deployment
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Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense.
Kodiak is seeking Staff Machine Learning Engineers, focusing on model deployment to help build the intelligence that powers the Kodiak Driver. Our ML teams work across perception, prediction, planning, and AI infrastructure to turn real-world driving data into models that enable safe and scalable autonomous trucking.
In this role, you will design and deploy machine learning systems that improve our vehicles’ ability to understand the world, predict the behavior of other road users, and make safe driving decisions. You will collaborate closely with robotics, autonomy, and infrastructure teams to continuously improve the performance of our autonomy stack using large-scale data from our growing fleet.
This is a high-impact opportunity to work on cutting-edge AI systems operating in the real world, where every mile driven improves our models and brings autonomous trucking closer to global deployment.In this role, you will:
- Help design, train, with a focus towards deploying onboard machine learning models that improve the performance/latency of the Kodiak autonomy stack which includes quantization, pruning, converting to ONNX/TensorRT, custom GPU kernels and profiling.
- Help identify and achieve parity between onboard and deployed offboard models using validation on HIL
- Collaborate with cross-functional teams including perception, planning, simulation, and autonomy infrastructure to integrate ML models into production systems.
- Analyze real-world driving logs to identify edge cases and improve model robustness and safety.
- Use profiling tooling to additionally help improve the train time for models by identifying and removing bottlenecks.
- Contribute to the development of scalable AI infrastructure that supports continuous learning and deployment across Kodiak’s fleet.
- MS or PhD in Computer Science, Robotics, Machine Learning, or a related technical field, or equivalent practical experience.
- 6+ years experience deploying machine learning or deep learning systems in production environments.
- Proficiency in Python, C++ and modern ML frameworks such as PyTorch or TensorFlow.
- Experience working with large-scale distributed training systems.
- Solid understanding of optimization, and machine learning fundamentals.
- Strong software engineering fundamentals including testing, debugging, and system design.
- Ability to work collaboratively across teams to solve complex autonomy and robotics challenges.
What we offer:
- Competitive compensation package including equity and annual bonuses
- Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and MetLife (including a medical plan with infertility benefits)
- MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance
- Flexible PTO, 10 paid holidays, and generous parental leave policies
- Our office is centrally located in Mountain View, CA
- Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging
- Long Term Disability, Short Term Disability, Life Insurance
- Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation)
- Fidelity 401(k)
- Commuter, FSA, Dependent Care FSA, HSA
- Various incentive programs (referral bonuses, patent bonuses, etc.)
The pay range listed below reflects the base salary in our SF/Silicon Valley location, across several internal levels. Actual starting pay will be based on job-related factors including: work location, experience, relevant training, education, skill level and performance during interview. Total compensation at Kodiak includes base pay, equity, bonus and a competitive benefits package
Ready to apply?
Apply to Kodiak
Staff Product Program Manager
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Who we are
Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.
The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.
At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn.
Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all.
This role will partner closely with our Software and Design teams to define the vision and long-term strategy for Aurora's internal application ecosystem for Autonomy development. You will be responsible for the end-to-end product lifecycle of tools that empower our engineers and operations teams to build, test, and deploy autonomous vehicle technology at scale. By conducting deep user research and synthesizing complex requirements, you will transform technical capabilities into a cohesive product portfolio that accelerates our path to commercialization.
In this role, you will
- Architect Product Strategy: Define and champion a multi-year product vision and North Star for a portfolio of internal applications, ensuring alignment with Aurora’s broader commercial objectives.
- Drive Cross-Functional Collaboration: Act as the primary bridge between Engineering and Design to deliver high-impact products that maximize business value and optimize user workflows.
- Master the User Domain: Develop an empathetic, deep-seated understanding of the challenges inherent in AV development, including data visualization, ML labeling, and simulation lifecycles.
- Drive AI Adoption: Define and champion AI/agentic tools and workflows that accelerate development workflows
- Prioritize for Impact: Rigorously manage the product roadmap, balancing the immediate needs of internal stakeholders with long-term platform scalability and technical debt.
- Operationalize Feedback: Translate qualitative user insights and quantitative usage metrics into high-fidelity requirements and actionable user stories.
- Lead Through Influence: Navigate complex stakeholder environments to build consensus on timelines, trade-offs, and resource allocation.
Required Qualifications
- Proven Leadership: 7+ years in software product management with a track record of driving the strategy and execution of complex software ecosystems.
- Strategic Problem Solver: Exceptional ability to navigate ambiguity, create structured frameworks from "white space," and lead teams through organizational change.
- Influence & Communication: Ability to articulate a compelling product narrative and translate sophisticated concepts into clear, persuasive communication for executive leadership.
- Collaborative Excellence: Demonstrated experience leading high-performing, cross-functional teams (Design, Engineering, and Data) to deliver high-ROI products.
- Operational Fluency: Strong understanding of the software development lifecycle, particularly in ML-based software development, and the ability to identify and mitigate delivery risks.
- Technical Fluency: Ability to pick up deep technical concepts quickly to understand architecture risks and complexity trade-offs.
Desirable Qualifications
- Bachelor’s degree in Computer Science (or other technical education) or equivalent practical experience
- Experience shipping products
- Experience with self-driving technology or other AI-based applications
The base salary range for this position is $187K-$262K per year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.
#LI-SP1
Working at Aurora
At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks.
We believe in-person work increases collaboration, empathy and our ability to lead effectively. As a result, we operate in a hybrid work environment where Aurorans are in office at least 3 days per week.
Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom.
Our commitment to safety
At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what.
Our commitment to inclusion
Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech.
For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy.
Ready to apply?
Apply to Aurora Innovation
About Faire
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.
We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.
About this role
Faire leverages the power of machine learning and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. At Faire, the Data Science team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive.
As a member of the Brand Data Science team working on Listing Quality, you will be responsible for improving the quality of product listings to help retailers find and evaluate products on Faire. You will use ML and AI to tackle critical challenges, such as enhancing image and text quality, extracting structured product attributes, and accurately identifying duplicates and product variants. You will leverage deep learning, multi-modal LLMs, and human-in-the-loop training to create high performance solutions. This space has been evolving rapidly with advancements in AI and you will be at the forefront of applying the latest technology to drive real-world impact. You will independently design and implement solutions and work with the cross-functional Listing Quality pod, including product, design, engineering, analytics, and operations, to solve problems end-to-end.
What you’ll do
- Drive data science vision, strategy, and execution on Listing Quality, using ML and AI solutions to improve the quality of Faire’s product listings.
- Use deep learning, LLM fine tuning, and human-in-the-loop training to automatically detect and address issues with high accuracy.
- Act as a lead on the cross-functional Listing Quality pod, thinking end-to-end about brand and retailer experiences.
Qualifications
- 3+ years of industry experience using machine learning to solve real-world problems
- Experience with relevant business problems (e.g. e-commerce)
- Experience with relevant technical methods (e.g. LLM fine tuning, deep learning, or human-in-the-loop machine learning)
- Strong programming skills
- An excitement and willingness to learn new tools and techniques
- The ability to design and implement ML solutions without supervision
- Strong communication skills and the ability to work in a highly cross-functional team
Great to Haves:
- Master’s or PhD in Computer Science, Statistics, or related STEM fields is highly recommended
- Previous experience in listing quality for e-commerce
- Previous experience in supervised fine tuning of multi-modal LLMs
- Experience deploying and optimizing LLM inference systems at scale (10B+ tokens), with focus on cost efficiency and product impact
Salary Range
Canada: the pay range for this role is $180,000 to $247,500 per year.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.
Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.
This job posting is for an existing vacancy.
Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.
Why you’ll love working at Faire
- Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
- Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
- Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
- Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
- Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.
Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.
Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.
Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)
Privacy
For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)
Ready to apply?
Apply to Faire
About Faire
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.
We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.
About this role
Faire leverages the power of machine learning and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. At Faire, the Data Science team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive.
As a member of the Brand Data Science team working on Listing Quality, you will be responsible for improving the quality of product listings to help retailers find and evaluate products on Faire. You will use ML and AI to tackle critical challenges, such as enhancing image and text quality, extracting structured product attributes, and accurately identifying duplicates and product variants. You will leverage deep learning, multi-modal LLMs, and human-in-the-loop training to create high performance solutions. This space has been evolving rapidly with advancements in AI and you will be at the forefront of applying the latest technology to drive real-world impact. You will independently design and implement solutions and work with the cross-functional Listing Quality pod, including product, design, engineering, analytics, and operations, to solve problems end-to-end.
What you’ll do
- Drive data science vision, strategy, and execution on Listing Quality, using ML and AI solutions to improve the quality of Faire’s product listings.
- Use deep learning, LLM fine tuning, and human-in-the-loop training to automatically detect and address issues with high accuracy.
- Act as a lead on the cross-functional Listing Quality pod, thinking end-to-end about brand and retailer experiences.
Qualifications
- 3+ years of industry experience using machine learning to solve real-world problems
- Experience with relevant business problems (e.g. e-commerce)
- Experience with relevant technical methods (e.g. LLM fine tuning, deep learning, or human-in-the-loop machine learning)
- Strong programming skills
- An excitement and willingness to learn new tools and techniques
- The ability to design and implement ML solutions without supervision
- Strong communication skills and the ability to work in a highly cross-functional team
Great to Haves:
- Master’s or PhD in Computer Science, Statistics, or related STEM fields is highly recommended
- Previous experience in listing quality for e-commerce
- Previous experience in supervised fine tuning of multi-modal LLMs
- Experience deploying and optimizing LLM inference systems at scale (10B+ tokens), with focus on cost efficiency and product impact
Salary Range
San Francisco: the pay range for this role is $211,000 to $290,500 per year.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.
Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.
Why you’ll love working at Faire
- Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
- Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
- Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
- Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
- Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.
Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.
Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.
Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)
Privacy
For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)
Ready to apply?
Apply to Faire
//MSS - SF Central - Mission Bay
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About Us
One Medical is a primary care solution challenging the industry status quo by making quality care more affordable, accessible and enjoyable. But this isn’t your average doctor’s office. We’re on a mission to transform healthcare, which means improving the experience for everyone involved - from patients and providers to employers and health networks. Our seamless in-office and 24/7 virtual care services, on-site labs, and programs for preventive care, chronic care management, common illnesses and mental health concerns have been delighting people for the past fifteen years.
In February 2023 we marked a milestone when One Medical joined Amazon. Together, we look to deliver exceptional health care to more consumers, employers, care team members, and health networks to achieve better health outcomes. As we continue to grow and seek to impact more lives, we’re building a diverse, driven and empathetic team, while working hard to cultivate an environment where everyone can thrive.
The Opportunity
As a Member Support Specialist at one of our offices presently focused on our Senior Health member population (age 65+), you will be an ambassador for patients in office, with a mastery of human connection and a strong drive for service. You will remove barriers to care, resulting in a truly exceptional in-office patient experience. You are the steward of the space and ensure the look and feel of the office lobby are on brand with the One Medical experience. You will be the first point of contact for patient feedback, as well as provide any other support as requested by the Practice Coordinator, Office Manager, or in office providers.
You are a strong team player and use your innovative problem solving skills to tackle various tasks and challenges. You have a strong grasp of verbal and written communication. You are able to identify opportunities and deliver on customer-centric solutions while using empathy, focus, and compassion in all interactions with patients and teammates. You bring self-awareness to your daily work to utilize your strengths and develop your areas of opportunity. You thrive in cultures that focus on feedback and growth and are nimble in their approach to respond to the needs of the patients and team. You have an unwavering drive to help and serve others and create amazing moments for our members and teammates. If this sounds like you, we would love to connect.
What you'll likely work on:
- Use impeccable C-I-CARE (a framework containing the key elements of a great interaction and effective communication that we use with patients and each other) in all patient interactions and ensure a fluid and positive in-office experience through patient intake, same day schedule management, appropriate follow up scheduling, strong knowledge of billing and insurance, monitoring patient feedback and assisting with outreach as necessary
- All front of house duties including check in/check out, insurance verification, printing/paperwork tasks, prepping tests, tasking to service level expectations etc
- Assist our senior patients by performing other administrative tasks such as answering phone calls, sending faxes, and coordinating transportation for patients
- Contribute to team development through rounding, attending team huddles, participating in team problem solving, supporting in office providers with ad hoc asks, etc.
- Master our technology suite including, but not limited to Slack, G-suite, Zoom, Circulation, RingCentral, and our Electronic Medical Record System, in order to interact with team members and complete daily work
- Perform opening and closing duties/daily office upkeep as required, including maintaining the look and feel of both patient and employee facing spaces, restocking supplies, and organization
These responsibilities are intended to describe the general nature and level of work being performed by personnel assigned to this job classification. They are not to be construed as an exhaustive list of job duties performed by personnel in this classification. Other job related duties may be assigned by management.
What you’ll need:
- At least 1 year of experience in high touch customer or patient facing roles
- Strong written and verbal communication skills
- Experience working on collaborative, diverse and feedback-driven multi-disciplinary teams
- A proven track record of persisting through change, demonstrating a forward thinking perspective when under pressure, and consistently stepping up to take action on challenges
- Proficiency in computer technology such as typing, navigating the internet and using multiple software systems simultaneously
Competitive salary: the base pay for this position is $XX.XX per hour based on a full time schedule. [with a 1.25 differential for eligible extended hours]
This is a full-time role based in-person with our team and patients at offices in XX, one of our offices presently focused on our Senior Health member population. (Add in shift time if applicable).
Physical Demands: Mostly sedentary work duties require exerting up to ten pounds of force occasionally and/or small amounts of force frequently. Sedentary work typically involves sitting most of the time, but may involve walking or standing for brief periods.
One Medical offers a robust benefits package designed to aid your health and wellness. All regular team members working 24+ hours per week and their dependents are eligible for benefits starting on the team member's date of hire:
Taking care of you today
- Paid sabbatical for every five years of service
- Free One Medical memberships for yourself, your friends and family
- Employee Assistance Program - Free confidential services for team members who need help with stress, anxiety, financial planning, and legal issues
- Competitive Medical, Dental and Vision plans
- Pre-Tax commuter benefits
- PTO cash outs - Option to cash out up to 40 accrued hours per year
Protecting your future for you and your family
- 401K match
- Credit towards emergency childcare
- Company paid maternity and paternity leave
- Paid Life Insurance - One Medical pays 100% of the cost of Basic Life Insurance
- Disability insurance - One Medical pays 100% of the cost of Short Term and Long Term Disability Insurance
In addition to the comprehensive benefits package outlined above, practicing clinicians also receive
- Malpractice Insurance - Malpractice fees to insure your practice at One Medical is covered 100%.
- UpToDate Subscription - An evidence-based clinical research tool
- Continuing Medical Education (CME) - Receive an annual stipend for continuing medical education
- Rounds - Providers end patient care one hour early each week to participate in this shared learning experience
- Discounted rate to attend One Medical’s Annual REAL primary care conference
One Medical is an equal opportunity employer, and we encourage qualified applicants of every background, ability, and life experience to contact us about appropriate employment opportunities.
One Medical participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Please refer to the E-Verification Poster and Right to Work Poster for additional information.
Ready to apply?
Apply to One Medical
Phlebotomist / Administrative Assistant
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About Us
One Medical is a primary care solution challenging the industry status quo by making quality care more affordable, accessible and enjoyable. But this isn’t your average doctor’s office. We’re on a mission to transform healthcare, which means improving the experience for everyone involved - from patients and providers to employers and health networks. Our seamless in-office and 24/7 virtual care services, on-site labs, and programs for preventive care, chronic care management, common illnesses and mental health concerns have been delighting people for the past fifteen years.
In February 2023 we marked a milestone when One Medical joined Amazon. Together, we look to deliver exceptional health care to more consumers, employers, care team members, and health networks to achieve better health outcomes. As we continue to grow and seek to impact more lives, we’re building a diverse, driven and empathetic team, while working hard to cultivate an environment where everyone can thrive.
The Opportunity
As a Phlebotomist/Administrative Assistant at one of our offices, you’ll provide an exceptional experience for our patients and help them accomplish an important part of their care journey by providing venipuncture as well as other clinical support services. You will be an ambassador for patients, with a mastery of human connection and a strong drive for service. You will remove barriers to care, resulting in a truly exceptional in-office patient experience. You are the steward of the space and ensure the look and feel of the office lobby are on brand with the One Medical experience. You will be the first point of contact for our patients, as well as provide any other support as requested by the Practice Coordinator, Operations Manager, or providers.
You are a strong team player and use your innovative problem solving skills to tackle various tasks and challenges. You combine excellent specimen collection technique with tactful interpersonal skills during every interaction with your patients, at both the front desk and in the lab. You have a strong grasp of verbal and written communication. You are able to identify opportunities and deliver on customer-centric solutions while using empathy, focus, and compassion in all interactions with patients and teammates. You bring self-awareness to your daily work to utilize your strengths and develop your areas of opportunity. You thrive in cultures that focus on feedback and growth and are nimble in their approach to respond to the needs of the patients and team. You have an unwavering drive to help and serve others and create amazing moments for our members and teammates. If this sounds like you, we would love to connect.
What you’ll likely work on:
- Use impeccable C-I-CARE (a framework containing the key elements of a great interaction and effective communication that we use with patients and each other) in all patient interactions, both clinical and administrative, and ensure a fluid and positive in-office experience through patient intake, same day schedule management, appropriate follow up scheduling, strong knowledge of billing and insurance, monitoring patient feedback and assisting with outreach as necessary
- Provide best in class venipuncture services on a population ranging from pediatrics to geriatrics, depending on the office location
- Perform and assist with extended scope duties such as, but not limited to non-blood specimen collection, EKGs/ECGs, vitals, ear lavages, vaccines, PPD tests, and swabs
- Maintain high standards of in-office care through proper specimen labeling, handling and processing, inventory upkeep, and tool sterilization
- Continue to care for our members beyond the lab room by answering patient messages, following up on lab cases and assisting our providers and virtual medical team with clerical duties such as, but not limited to biometric screening forms, medical record and consult review, billing inquiries, and DOH reporting
- All front of house duties including check in/check out, insurance verification, printing/paperwork tasks, prepping tests, tasking to service level expectations etc
- Contribute to team development through rounding, attending team huddles, participating in team problem solving, supporting in office providers with ad hoc asks, etc.
- Perform opening and closing duties/daily office upkeep as required, including maintaining the look and feel of both patient and employee facing spaces, restocking supplies, and organization
- Master our technology suite including, but not limited to Slack, G-suite, Zoom, Circulation, RingCentral, and our Electronic Medical Record System, in order to interact with team members and complete daily work
These responsibilities are intended to describe the general nature and level of work being performed by personnel assigned to this job classification. They are not to be construed as an exhaustive list of job duties performed by personnel in this classification. Other job related duties may be assigned by management.
What you’ll need:
- At least 6 months of relevant experience as a Medical Assistant or Phlebotomist outside of a training/externship environment
- An active phlebotomy certification to practice in CA
- Strong customer service skills, including ability to establish and maintain effective customer relationships and deliver customer-centric solutions
- Strong written and verbal communication skills
- A High School Diploma or equivalent
- Proficiency in computer technology such as typing, navigating the internet and using multiple software systems simultaneously
- Experience working on collaborative, diverse, multi-disciplinary teams (additional experience with remote teams a plus)
- A proven ability to display confidence and instill trust during the collection process while delivering individualized, human-centered, customer-focused care
- A proven track record of persisting through change, consistently stepping up to take action on challenges, and learning quickly and effectively when faced with new situations or tasks
One Medical is committed to fair and equitable compensation practices
The range for this role is $26.25 to $28.25 per hour based on a standard full-time schedule. Total compensation packages may be based on factors unique to particular candidates, such as skill sets, depth of experience, and work location. The total compensation package for this position may also include benefits. For more information, visit https://www.onemedical.com/careers/
This is a full time role (40 hrs/week) with 8 hr shifts generally taking place between 7:30am and 6.30pm Monday-Friday in the Financial District, and the greater San Francisco area.
One Medical offers a robust benefits package designed to aid your health and wellness. All regular team members working 24+ hours per week and their dependents are eligible for benefits starting on the team member's date of hire:
Taking care of you today
- Paid sabbatical for every five years of service
- Free One Medical memberships for yourself, your friends and family
- Employee Assistance Program - Free confidential services for team members who need help with stress, anxiety, financial planning, and legal issues
- Competitive Medical, Dental and Vision plans
- Pre-Tax commuter benefits
- PTO cash outs - Option to cash out up to 40 accrued hours per year
Protecting your future for you and your family
- 401K match
- Credit towards emergency childcare
- Company paid maternity and paternity leave
- Paid Life Insurance - One Medical pays 100% of the cost of Basic Life Insurance
- Disability insurance - One Medical pays 100% of the cost of Short Term and Long Term Disability Insurance
In addition to the comprehensive benefits package outlined above, practicing clinicians also receive
- Malpractice Insurance - Malpractice fees to insure your practice at One Medical is covered 100%.
- UpToDate Subscription - An evidence-based clinical research tool
- Continuing Medical Education (CME) - Receive an annual stipend for continuing medical education
- Rounds - Providers end patient care one hour early each week to participate in this shared learning experience
- Discounted rate to attend One Medical’s Annual REAL primary care conference
One Medical is an equal opportunity employer, and we encourage qualified applicants of every background, ability, and life experience to contact us about appropriate employment opportunities.
One Medical participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Please refer to the E-Verification Poster and Right to Work Poster for additional information.
Ready to apply?
Apply to One Medical
Phlebotomist / Administrative Assistant (Burlingame)
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About Us
One Medical is a primary care solution challenging the industry status quo by making quality care more affordable, accessible and enjoyable. But this isn’t your average doctor’s office. We’re on a mission to transform healthcare, which means improving the experience for everyone involved - from patients and providers to employers and health networks. Our seamless in-office and 24/7 virtual care services, on-site labs, and programs for preventive care, chronic care management, common illnesses and mental health concerns have been delighting people for the past fifteen years.
In February 2023 we marked a milestone when One Medical joined Amazon. Together, we look to deliver exceptional health care to more consumers, employers, care team members, and health networks to achieve better health outcomes. As we continue to grow and seek to impact more lives, we’re building a diverse, driven and empathetic team, while working hard to cultivate an environment where everyone can thrive.
The Opportunity
As a Phlebotomist/Administrative Assistant at one of our offices, you’ll provide an exceptional experience for our patients and help them accomplish an important part of their care journey by providing venipuncture as well as other clinical support services. You will be an ambassador for patients, with a mastery of human connection and a strong drive for service. You will remove barriers to care, resulting in a truly exceptional in-office patient experience. You are the steward of the space and ensure the look and feel of the office lobby are on brand with the One Medical experience. You will be the first point of contact for our patients, as well as provide any other support as requested by the Practice Coordinator, Operations Manager, or providers.
You are a strong team player and use your innovative problem solving skills to tackle various tasks and challenges. You combine excellent specimen collection technique with tactful interpersonal skills during every interaction with your patients, at both the front desk and in the lab. You have a strong grasp of verbal and written communication. You are able to identify opportunities and deliver on customer-centric solutions while using empathy, focus, and compassion in all interactions with patients and teammates. You bring self-awareness to your daily work to utilize your strengths and develop your areas of opportunity. You thrive in cultures that focus on feedback and growth and are nimble in their approach to respond to the needs of the patients and team. You have an unwavering drive to help and serve others and create amazing moments for our members and teammates. If this sounds like you, we would love to connect.
What you’ll likely work on:
- Use impeccable C-I-CARE (a framework containing the key elements of a great interaction and effective communication that we use with patients and each other) in all patient interactions, both clinical and administrative, and ensure a fluid and positive in-office experience through patient intake, same day schedule management, appropriate follow up scheduling, strong knowledge of billing and insurance, monitoring patient feedback and assisting with outreach as necessary
- Provide best in class venipuncture services on a population ranging from pediatrics to geriatrics, depending on the office location
- Perform and assist with extended scope duties such as, but not limited to non-blood specimen collection, EKGs/ECGs, vitals, ear lavages, vaccines, PPD tests, and swabs
- Maintain high standards of in-office care through proper specimen labeling, handling and processing, inventory upkeep, and tool sterilization
- Continue to care for our members beyond the lab room by answering patient messages, following up on lab cases and assisting our providers and virtual medical team with clerical duties such as, but not limited to biometric screening forms, medical record and consult review, billing inquiries, and DOH reporting
- All front of house duties including check in/check out, insurance verification, printing/paperwork tasks, prepping tests, tasking to service level expectations etc
- Contribute to team development through rounding, attending team huddles, participating in team problem solving, supporting in office providers with ad hoc asks, etc.
- Perform opening and closing duties/daily office upkeep as required, including maintaining the look and feel of both patient and employee facing spaces, restocking supplies, and organization
- Master our technology suite including, but not limited to Slack, G-suite, Zoom, Circulation, RingCentral, and our Electronic Medical Record System, in order to interact with team members and complete daily work
These responsibilities are intended to describe the general nature and level of work being performed by personnel assigned to this job classification. They are not to be construed as an exhaustive list of job duties performed by personnel in this classification. Other job related duties may be assigned by management.
What you’ll need:
- At least 6 months of relevant experience as a Medical Assistant or Phlebotomist outside of a training/externship environment
- An active phlebotomy certification to practice in CA
- Strong customer service skills, including ability to establish and maintain effective customer relationships and deliver customer-centric solutions
- Strong written and verbal communication skills
- A High School Diploma or equivalent
- Proficiency in computer technology such as typing, navigating the internet and using multiple software systems simultaneously
- Experience working on collaborative, diverse, multi-disciplinary teams (additional experience with remote teams a plus)
- A proven ability to display confidence and instill trust during the collection process while delivering individualized, human-centered, customer-focused care
- A proven track record of persisting through change, consistently stepping up to take action on challenges, and learning quickly and effectively when faced with new situations or tasks
One Medical is committed to fair and equitable compensation practices
The range for this role is $26.25 to $28.25 per hour based on a standard full-time schedule. Total compensation packages may be based on factors unique to particular candidates, such as skill sets, depth of experience, and work location. The total compensation package for this position may also include benefits. For more information, visit https://www.onemedical.com/careers/
This is a full time role (40 hrs/week) with 8 hr shifts generally taking place between 7:30am and 6.30pm Monday-Friday in Burlingame.
One Medical offers a robust benefits package designed to aid your health and wellness. All regular team members working 24+ hours per week and their dependents are eligible for benefits starting on the team member's date of hire:
Taking care of you today
- Paid sabbatical for every five years of service
- Free One Medical memberships for yourself, your friends and family
- Employee Assistance Program - Free confidential services for team members who need help with stress, anxiety, financial planning, and legal issues
- Competitive Medical, Dental and Vision plans
- Pre-Tax commuter benefits
- PTO cash outs - Option to cash out up to 40 accrued hours per year
Protecting your future for you and your family
- 401K match
- Credit towards emergency childcare
- Company paid maternity and paternity leave
- Paid Life Insurance - One Medical pays 100% of the cost of Basic Life Insurance
- Disability insurance - One Medical pays 100% of the cost of Short Term and Long Term Disability Insurance
In addition to the comprehensive benefits package outlined above, practicing clinicians also receive
- Malpractice Insurance - Malpractice fees to insure your practice at One Medical is covered 100%.
- UpToDate Subscription - An evidence-based clinical research tool
- Continuing Medical Education (CME) - Receive an annual stipend for continuing medical education
- Rounds - Providers end patient care one hour early each week to participate in this shared learning experience
- Discounted rate to attend One Medical’s Annual REAL primary care conference
One Medical is an equal opportunity employer, and we encourage qualified applicants of every background, ability, and life experience to contact us about appropriate employment opportunities.
One Medical participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Please refer to the E-Verification Poster and Right to Work Poster for additional information.
Ready to apply?
Apply to One Medical
Phlebotomist / Administrative Assistant (Cow Hollow)
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About Us
One Medical is a primary care solution challenging the industry status quo by making quality care more affordable, accessible and enjoyable. But this isn’t your average doctor’s office. We’re on a mission to transform healthcare, which means improving the experience for everyone involved - from patients and providers to employers and health networks. Our seamless in-office and 24/7 virtual care services, on-site labs, and programs for preventive care, chronic care management, common illnesses and mental health concerns have been delighting people for the past fifteen years.
In February 2023 we marked a milestone when One Medical joined Amazon. Together, we look to deliver exceptional health care to more consumers, employers, care team members, and health networks to achieve better health outcomes. As we continue to grow and seek to impact more lives, we’re building a diverse, driven and empathetic team, while working hard to cultivate an environment where everyone can thrive.
The Opportunity
As a One Medical Lab Services Specialist/Member Support Specialist (Phlebotomist/Administrative Assistant) at one of our offices, you’ll provide an exceptional experience for our patients and help them accomplish an important part of their care journey by providing venipuncture as well as other clinical support services. You will be an ambassador for patients, with a mastery of human connection and a strong drive for service. You will remove barriers to care, resulting in a truly exceptional in-office patient experience. You are the steward of the space and ensure the look and feel of the office lobby are on brand with the One Medical experience. You will be the first point of contact for our patients, as well as provide any other support as requested by the Practice Coordinator, Operations Manager, or providers. Flex team members support multiple offices.
You are a strong team player and use your innovative problem solving skills to tackle various tasks and challenges. You combine excellent specimen collection technique with tactful interpersonal skills during every interaction with your patients, at both the front desk and in the lab. You have a strong grasp of verbal and written communication. You are able to identify opportunities and deliver on customer-centric solutions while using empathy, focus, and compassion in all interactions with patients and teammates. You bring self-awareness to your daily work to utilize your strengths and develop your areas of opportunity. You thrive in cultures that focus on feedback and growth and are nimble in their approach to respond to the needs of the patients and team. You have an unwavering drive to help and serve others and create amazing moments for our members and teammates. If this sounds like you, we would love to connect.
What you’ll likely work on:
- Use impeccable C-I-CARE (a framework containing the key elements of a great interaction and effective communication that we use with patients and each other) in all patient interactions, both clinical and administrative, and ensure a fluid and positive in-office experience through patient intake, same day schedule management, appropriate follow up scheduling, strong knowledge of billing and insurance, monitoring patient feedback and assisting with outreach as necessary
- Provide best in class venipuncture services on a population ranging from pediatrics to geriatrics, depending on the office location
- Perform and assist with extended scope duties such as, but not limited to non-blood specimen collection, EKGs/ECGs, vitals, ear lavages, vaccines, PPD tests, and swabs
- Maintain high standards of in-office care through proper specimen labeling, handling and processing, inventory upkeep, and tool sterilization
- Continue to care for our members beyond the lab room by answering patient messages, following up on lab cases and assisting our providers and virtual medical team with clerical duties such as, but not limited to biometric screening forms, medical record and consult review, billing inquiries, and DOH reporting
- All front of house duties including check in/check out, insurance verification, printing/paperwork tasks, prepping tests, tasking to service level expectations etc
- Contribute to team development through rounding, attending team huddles, participating in team problem solving, supporting in office providers with ad hoc asks, etc.
- Perform opening and closing duties/daily office upkeep as required, including maintaining the look and feel of both patient and employee facing spaces, restocking supplies, and organization
- Master our technology suite including, but not limited to Slack, G-suite, Zoom, Circulation, RingCentral, and our Electronic Medical Record System, in order to interact with team members and complete daily work
These responsibilities are intended to describe the general nature and level of work being performed by personnel assigned to this job classification. They are not to be construed as an exhaustive list of job duties performed by personnel in this classification. Other job related duties may be assigned by management.
What you’ll need:
- At least 6 months of relevant experience as a Medical Assistant or Phlebotomist outside of a training/externship environment
- An active phlebotomy certification to practice in CA
- Strong customer service skills, including ability to establish and maintain effective customer relationships and deliver customer-centric solutions
- Strong written and verbal communication skills
- A High School Diploma or equivalent
- Proficiency in computer technology such as typing, navigating the internet and using multiple software systems simultaneously
- Experience working on collaborative, diverse, multi-disciplinary teams (additional experience with remote teams a plus)
- A proven ability to display confidence and instill trust during the collection process while delivering individualized, human-centered, customer-focused care
- A proven track record of persisting through change, consistently stepping up to take action on challenges, and learning quickly and effectively when faced with new situations or tasks
One Medical is committed to fair and equitable compensation practices
The range for this role is $26.25 to $28.25 per hour based on a standard full-time schedule with a 1.25x differential for eligible extended hours. Total compensation packages may be based on factors unique to particular candidates, such as skill sets, depth of experience, and work location. The total compensation package for this position may also include benefits. For more information, visit https://www.onemedical.com/careers/
This is a full time role (40 hrs/week) with 8 hour shifts weekdays and weekends generally taking place between 8:00 am and 9:00 pm in Cow Hollow, San Francisco.
One Medical offers a robust benefits package designed to aid your health and wellness. All regular team members working 24+ hours per week and their dependents are eligible for benefits starting on the team member's date of hire:
Taking care of you today
- Paid sabbatical for every five years of service
- Free One Medical memberships for yourself, your friends and family
- Employee Assistance Program - Free confidential services for team members who need help with stress, anxiety, financial planning, and legal issues
- Competitive Medical, Dental and Vision plans
- Pre-Tax commuter benefits
- PTO cash outs - Option to cash out up to 40 accrued hours per year
Protecting your future for you and your family
- 401K match
- Credit towards emergency childcare
- Company paid maternity and paternity leave
- Paid Life Insurance - One Medical pays 100% of the cost of Basic Life Insurance
- Disability insurance - One Medical pays 100% of the cost of Short Term and Long Term Disability Insurance
In addition to the comprehensive benefits package outlined above, practicing clinicians also receive
- Malpractice Insurance - Malpractice fees to insure your practice at One Medical is covered 100%.
- UpToDate Subscription - An evidence-based clinical research tool
- Continuing Medical Education (CME) - Receive an annual stipend for continuing medical education
- Rounds - Providers end patient care one hour early each week to participate in this shared learning experience
- Discounted rate to attend One Medical’s Annual REAL primary care conference
One Medical is an equal opportunity employer, and we encourage qualified applicants of every background, ability, and life experience to contact us about appropriate employment opportunities.
One Medical participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Please refer to the E-Verification Poster and Right to Work Poster for additional information.
Ready to apply?
Apply to One Medical
Phlebotomist / Administrative Assistant (Financial District)
Share this job
About Us
One Medical is a primary care solution challenging the industry status quo by making quality care more affordable, accessible and enjoyable. But this isn’t your average doctor’s office. We’re on a mission to transform healthcare, which means improving the experience for everyone involved - from patients and providers to employers and health networks. Our seamless in-office and 24/7 virtual care services, on-site labs, and programs for preventive care, chronic care management, common illnesses and mental health concerns have been delighting people for the past fifteen years.
In February 2023 we marked a milestone when One Medical joined Amazon. Together, we look to deliver exceptional health care to more consumers, employers, care team members, and health networks to achieve better health outcomes. As we continue to grow and seek to impact more lives, we’re building a diverse, driven and empathetic team, while working hard to cultivate an environment where everyone can thrive.
The Opportunity
As a Phlebotomist/Administrative Assistant at one of our offices, you’ll provide an exceptional experience for our patients and help them accomplish an important part of their care journey by providing venipuncture as well as other clinical support services. You will be an ambassador for patients, with a mastery of human connection and a strong drive for service. You will remove barriers to care, resulting in a truly exceptional in-office patient experience. You are the steward of the space and ensure the look and feel of the office lobby are on brand with the One Medical experience. You will be the first point of contact for our patients, as well as provide any other support as requested by the Practice Coordinator, Operations Manager, or providers.
You are a strong team player and use your innovative problem solving skills to tackle various tasks and challenges. You combine excellent specimen collection technique with tactful interpersonal skills during every interaction with your patients, at both the front desk and in the lab. You have a strong grasp of verbal and written communication. You are able to identify opportunities and deliver on customer-centric solutions while using empathy, focus, and compassion in all interactions with patients and teammates. You bring self-awareness to your daily work to utilize your strengths and develop your areas of opportunity. You thrive in cultures that focus on feedback and growth and are nimble in their approach to respond to the needs of the patients and team. You have an unwavering drive to help and serve others and create amazing moments for our members and teammates. If this sounds like you, we would love to connect.
What you’ll likely work on:
- Use impeccable C-I-CARE (a framework containing the key elements of a great interaction and effective communication that we use with patients and each other) in all patient interactions, both clinical and administrative, and ensure a fluid and positive in-office experience through patient intake, same day schedule management, appropriate follow up scheduling, strong knowledge of billing and insurance, monitoring patient feedback and assisting with outreach as necessary
- Provide best in class venipuncture services on a population ranging from pediatrics to geriatrics, depending on the office location
- Perform and assist with extended scope duties such as, but not limited to non-blood specimen collection, EKGs/ECGs, vitals, ear lavages, vaccines, PPD tests, and swabs
- Maintain high standards of in-office care through proper specimen labeling, handling and processing, inventory upkeep, and tool sterilization
- Continue to care for our members beyond the lab room by answering patient messages, following up on lab cases and assisting our providers and virtual medical team with clerical duties such as, but not limited to biometric screening forms, medical record and consult review, billing inquiries, and DOH reporting
- All front of house duties including check in/check out, insurance verification, printing/paperwork tasks, prepping tests, tasking to service level expectations etc
- Contribute to team development through rounding, attending team huddles, participating in team problem solving, supporting in office providers with ad hoc asks, etc.
- Perform opening and closing duties/daily office upkeep as required, including maintaining the look and feel of both patient and employee facing spaces, restocking supplies, and organization
- Master our technology suite including, but not limited to Slack, G-suite, Zoom, Circulation, RingCentral, and our Electronic Medical Record System, in order to interact with team members and complete daily work
These responsibilities are intended to describe the general nature and level of work being performed by personnel assigned to this job classification. They are not to be construed as an exhaustive list of job duties performed by personnel in this classification. Other job related duties may be assigned by management.
What you’ll need:
- At least 6 months of relevant experience as a Medical Assistant or Phlebotomist outside of a training/externship environment
- An active phlebotomy certification to practice in CA
- Strong customer service skills, including ability to establish and maintain effective customer relationships and deliver customer-centric solutions
- Strong written and verbal communication skills
- A High School Diploma or equivalent
- Proficiency in computer technology such as typing, navigating the internet and using multiple software systems simultaneously
- Experience working on collaborative, diverse, multi-disciplinary teams (additional experience with remote teams a plus)
- A proven ability to display confidence and instill trust during the collection process while delivering individualized, human-centered, customer-focused care
- A proven track record of persisting through change, consistently stepping up to take action on challenges, and learning quickly and effectively when faced with new situations or tasks
One Medical is committed to fair and equitable compensation practices
The range for this role is $28.00 to $30.00 per hour based on a standard full-time schedule. Total compensation packages may be based on factors unique to particular candidates, such as skill sets, depth of experience, and work location. The total compensation package for this position may also include benefits. For more information, visit https://www.onemedical.com/careers/
This is a full time role (40 hrs/week) with 8 hr shifts generally taking place between 7:30am and 6.30pm Monday-Friday in multiple Financial District Locations.
One Medical offers a robust benefits package designed to aid your health and wellness. All regular team members working 24+ hours per week and their dependents are eligible for benefits starting on the team member's date of hire:
Taking care of you today
- Paid sabbatical for every five years of service
- Free One Medical memberships for yourself, your friends and family
- Employee Assistance Program - Free confidential services for team members who need help with stress, anxiety, financial planning, and legal issues
- Competitive Medical, Dental and Vision plans
- Pre-Tax commuter benefits
- PTO cash outs - Option to cash out up to 40 accrued hours per year
Protecting your future for you and your family
- 401K match
- Credit towards emergency childcare
- Company paid maternity and paternity leave
- Paid Life Insurance - One Medical pays 100% of the cost of Basic Life Insurance
- Disability insurance - One Medical pays 100% of the cost of Short Term and Long Term Disability Insurance
In addition to the comprehensive benefits package outlined above, practicing clinicians also receive
- Malpractice Insurance - Malpractice fees to insure your practice at One Medical is covered 100%.
- UpToDate Subscription - An evidence-based clinical research tool
- Continuing Medical Education (CME) - Receive an annual stipend for continuing medical education
- Rounds - Providers end patient care one hour early each week to participate in this shared learning experience
- Discounted rate to attend One Medical’s Annual REAL primary care conference
One Medical is an equal opportunity employer, and we encourage qualified applicants of every background, ability, and life experience to contact us about appropriate employment opportunities.
One Medical participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Please refer to the E-Verification Poster and Right to Work Poster for additional information.
Ready to apply?
Apply to One Medical
Senior Analyst, Analytics Engineering
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Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io.
At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career.
As a Senior Analyst, Analytics engineering, you’ll enable our analytics community to get the most out of our data. You’ll support analysts of varying levels of scope and experience by building, maintaining, and governing a data warehouse of operational and financial data.
You’ll keep us on the cutting edge of AI-driven analytics by partnering with Data Ops to develop a semantic layer and various agents to facilitate faster, better, and more interpretable insights.
We're seeking someone based near one of the following cities: San Francisco, Salt Lake City, Chicago, or New York City.
RESPONSIBILITIES
- Develop and maintain data models in Snowflake with dbt
- Design and build a testing and alerting framework to improve data quality
- Create data governance/democratization policies to support the broader analyst community
- Design and build a self-service analytics AI framework, including both the semantic modeling and tooling architecture
Partner with Data Engineering to optimize data staging in Snowflake
QUALIFICATIONS
- 4+ years of experience in data engineering, analytics, or data science
- A bachelor’s degree in Computer Science, Information Systems, Statistics, or another quantitative field
- Advanced SQL knowledge (experience with dbt is a plus)
- Moderate Python knowledge (JavaScript knowledge is a plus)
- Experience building complex data pipelines using engineering best practices in platforms like Airflow or Prefect
Strong organizational discipline and quality assurance skills
PERKS & BENEFITS
- We offer Gongsters a variety of medical, dental, and vision plans, designed to fit you and your family’s needs.
- Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle.
- Mental Health benefits with covered therapy and coaching.
- 401(k) program to help you invest in your future.
- Education & learning stipend for personal growth and development.
- Flexible vacation time to promote a healthy work-life blend.
- Paid parental leave to support you and your family.
- Company-wide recharge days each quarter.
- Work from home stipend to help you succeed in a remote environment.
The annual salary hiring range for this position is $120,000 - $145,000 USD.
Compensation is based on factors unique to each candidate, including, but not limited to, job-related skills, qualification, education, experience, and location. At Gong, we have a location-based compensation structure, which means there may be a different range for candidates in other locations. The total compensation package for this position, in addition to base compensation, may include incentive compensation, bonus, equity, and benefits. Some of our sales compensation programs also offer the potential to achieve above targeted earnings for those who exceed their sales targets.
We are always looking for outstanding Gongsters! So if this sounds like something that interests you regardless of compensation, please reach out. We may have more roles for you to consider and would love to connect.
We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Gong recruiting email communications will always come from the @gong.io domain. Any outreach claiming to be from Gong via other sources should be ignored.
Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, military status, genetic information, or any other basis protected by applicable law.
To review Gong's privacy policy, visit https://www.gong.io/gong-io-job-candidates-privacy-notice/ for more details.
#LI-NK1
Ready to apply?
Apply to Gong.io
Product Manager, Public Sector GenAI Test & Evaluation (T&E)
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At Scale, our mission is to develop reliable AI systems for the world’s most important decisions. The Public Sector team is at the forefront of this mission, partnering with government agencies to deploy mission-critical agentic solutions.
Role Overview
The Public Sector GenAI T&E Product Manager will be a high-horsepower technical leader, defining the vision and owning the roadmap for our evaluation capabilities. This role requires thriving in unscripted, high-stakes environments, as you will be the primary owner for the T&E tech stack—the robust infrastructure required to continuously measure, improve, and prove the superiority and sustained performance of our agentic applications.
Traversing multiple engineering organizations across Scale, you will identify bottlenecks, distill technical friction into actionable plans, and drive execution. You will work across Scale’s commercial and public sector teams to define requirements, ensuring our evaluation services are robust enough for the most demanding government use cases. Key objectives include refining the tech stack that allows ML teams to hillclimb, and surfacing critical performance information to stakeholders.
Minimum Qualifications (Quantifiable)
- Engineering Depth: 3+ years of experience in software engineering, systems architecture, or highly technical program management. You must be able to read code, understand system architecture, and participate in technical design reviews alongside engineering teams.
- Evaluation Systems Expertise: Proven experience designing, owning the roadmap for, or operating the infrastructure required to continuously measure, improve, and show the performance of AI applications.
- Problem Distillation: Demonstrated experience taking a vaguely defined problem (e.g., "our evaluation cycles are too slow") and delivering a technical roadmap, resource requirements, and measurable success metrics within a narrow time window.
- Ambiguity Management: Proven track record of taking a project from "stalled/undefined" to "shipped" in a high-pressure environment. You can point to at least two instances where you inherited a failing project and saw it through to production.
- Cross-Functional Leadership: Led multiple projects that required direct alignment between at least three distinct engineering organizations (e.g., Infrastructure, ML Research, and Product).
- Operational Execution: Experience using technical project management frameworks (e.g., Linear) to provide consistent weekly reporting on delivery velocity and blockers to executive stakeholders.
Preferred Qualifications (Nice to Haves)
- Security Clearance: Active Secret, Top Secret, or TS/SCI clearance.
- GenAI Implementation: Practical experience developing or evaluating features built specifically on LLMs, RAG, or autonomous agent workflows.
- Technical Rigor: Advanced degree in Computer Science, Engineering, or a related field.
- Public Sector Expertise: 2+ years of experience working with DoD, IC, or Civil agencies on mission-critical software deployments.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AIProduct Manager, Data Engine
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The Mission
Scale AI is leading the AI revolution, developing reliable AI applications for the world's most important decisions. For the Public Sector, we translate this mission into operational advantage for our government customers.
We are looking for a technical, high-horsepower Product Manager to lead the evolution of the Public Sector Data Engine. This team believes that the data engine, capable of producing “n” models, is more important than any single model. This role is focused on building tools that can measure and improve the computer vision and generative AI models at the heart of critical national security systems. You won’t just be managing a roadmap; you will be building the ML Ops infrastructure that allows the government to spin the ML Ops flywheel to develop reliable AI. This work will span both Computer Vision and Generative AI.
This is a hybrid role for a PM who loves the "why" as much as the "how." You will sit at the center of our transition from a data labeling leader to a full-stack AI partner. You will architect the vision for our ML Ops tooling, building a seamless "foundational engine" that supports data management, curation, model development, and model evaluation for internal and external Machine Learning Teams. You’ll be expected to guide engineering teams through design challenges, system integrations, and the technical scaffolding required for state-of-the-art model testing.
You will:
- Architect the AI Engine: Drive the roadmap for Public Sector ML Ops tools, ensuring they serve as the "ground truth" foundation for building, evaluating, and deploying AI systems.
- Bridge Custom & Scale: Support diverse customer profiles—from massive-scale satellite and video labeling engagements to complex, bespoke ML Ops partnerships.
- Own Technical Scoping: Partner with Engineering to make high-stakes design decisions on infrastructure, APIs, and model evaluation frameworks (T&E).
- Operationalize Collaboration: Use high EQ and structured thinking to align Engineering, Operations, and elite Government stakeholders.
Ideally you'd have:
- Technical by Core: You have a background in Software Engineering, Field Engineering, or Vision Systems. You can read code, understand system architecture, and earn the immediate respect of world-class engineers.
- ML/CV Experience: You have experience in Computer Vision or ML Ops. You understand the lifecycle of a model—from data acquisition to Test & Evaluation.
- Grit: You possess a "whatever-it-takes" drive. You are comfortable running through walls, grinding through ambiguity, and delivering results in high-pressure environments.
- Structured Thinker, but Action Oriented: You can take a challenging problem, decompose it, create action plans, and drive results.
Nice to haves:
- Security Clearance: An active Secret or TS/SCI clearance is a nice to have for this role. If you do not have an active clearance, you must be willing to obtain one.
- Demonstrated Technical Rigor: Advanced degree (CS, Engineering, or a related field) from a top-tier institution, or equivalent experience that showcases deep technical problem-solving ability.
- Computer Vision (CV) Expertise: Practical experience designing, building, or evaluating large-scale Computer Vision models, including advanced data processing and deployment techniques.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AIScale's Physical AI business unit is dedicated to solving the data bottleneck across Robotics, Autonomous Vehicles, and Computer Vision. This position will be a key contributor in conducting applied research in Physical AI and developing ML pipelines for processing, training, and fine-tuning on data collected by Scale, with a specific focus on optimizing algorithms and pipelines to run efficiently on GPUs in the cloud. In this role, you will have the opportunity to advance research, shape Scale’s offerings, and expand the frontier of data and model evaluation for Physical AI.
The Role
As an ML Systems Engineer on the Physical AI team, you will design and build platforms for scalable, reliable, and efficient serving of foundation models specifically tailored for physical agents. Our platform powers cutting-edge research and production systems, supporting both internal research discovery and external customer use cases for autonomous vehicles and robotics.
The ideal candidate combines strong ML fundamentals with deep expertise in backend system design. You’ll work in a highly collaborative environment, bridging the gap between Physical AI research and production engineering to accelerate innovation across the company.
You Will:
- Build & Scale: Maintain fault-tolerant, high-performance systems for serving robotics-related models and foundation models at scale, ensuring low latency for real-time applications.
- Platform Development: Build an internal platform to empower model capability discovery, enabling faster iteration cycles for research teams working on robotics.
- Collaborate: Work closely with Robotics researchers and Computer Vision engineers to integrate and optimize models for production and research environments.
- Design Excellence: Conduct architecture and design reviews to uphold best practices in system scalability, reliability, and security.
- Observability: Develop monitoring and observability solutions to ensure system health and real-time performance tracking of model inference.
- Lead: Own projects end-to-end, from requirements gathering to implementation, in a fast-paced, cross-functional environment.
Ideally, You’d Have:
- Experience: 4+ years of experience building large-scale, high-performance backend systems, with deep experience in machine learning infrastructure.
- Algorithm Optimization: Deep experience optimizing computer vision and other machine learning algorithms for cloud environments, including GPU-level algorithm optimizations (e.g., CUDA, kernel tuning).
- Programming: Strong skills in one or more systems-level languages (e.g., Python, Go, Rust, C++).
- Systems Fundamentals: Deep understanding of serving and routing fundamentals (e.g., rate limiting, load balancing, compute budgets, concurrency) for data-intensive applications.
- Infrastructure: Experience with containers (Docker), orchestration (Kubernetes), and cloud providers (AWS/GCP).
- IaC: Familiarity with infrastructure as code (e.g., Terraform).
- Mindset: Proven ability to solve complex problems and work independently in fast-moving environments.
Nice to Haves:
- Exposure to Vision-Language-Action (VLA) models.
- Knowledge of high-performance video processing (e.g., FFmpeg, NVDEC/NVENC) or 3D data handling (point clouds).
- Familiarity with robotics middleware (e.g., ROS/ROS2) or AV data formats.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AIMachine Learning Systems Research Engineer, Agent Post-training - Enterprise GenAI
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AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world.
The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research and resources that serve all of our enterprise clients. As an ML Sys Research Engineer, you’ll work on building out the algorithms for our next-gen Agent RL training platform, support large scale training, and research and integrate state-of-the-art technologies to optimize our ML system. Your customer will be other MLREs and AAIs on the Enterprise AI team who are taking the training algorithms and applying them to client use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models. If you are excited about shaping the future of the modern AI movement, we would love to hear from you!
You will:
- Build, profile and optimize our training and inference framework.
- Post-train state of the art models, developed both internally and from the community, to define stable post-training recipes for our enterprise engagements.
- Collaborate with ML teams to accelerate their research and development, and enable them to develop the next generation of models and data curation..
- Create a next-gen agent training algorithm for multi-agent/multi-tool rollouts.
Ideally you’d have:
- At least 1-3 years of LLM training in a production environment
- Passionate about system optimization
- Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc.
- Ability to demonstrate know-how on how to operate the architecture of the modern GPU cluster
- Experience with multi-node LLM training and inference
- Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc.
- Strong written and verbal communication skills to operate in a cross functional team environment.
- PhD or Masters in Computer Science or a related field
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AIMachine Learning Research Scientist, Post-Training
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Scale works with the industry’s leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation and eval to enhance LLM capabilities in both text and multimodal modalities.
In this role, you will develop novel methods to improve the alignment and generalization of large-scale generative models. You will collaborate with researchers and engineers to define best practices in data-driven AI development. You will also partner with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models.
You will:
- Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities.
- Design and experiment new approaches to preference optimization.
- Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness.
- Publish research findings in top-tier AI conferences.
Ideally you’d have:
- Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field.
- Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning.
- Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning.
- Excellent written and verbal communication skills
- Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals
- Previous experience in a customer facing role.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AIMachine Learning Research Engineer, GenAI Applied ML
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About This Role
Lead applied ML engineering on Scale's Applied ML team, powering data infrastructure for leading agentic LLMs (ChatGPT, Gemini, Llama). You will build scalable multi-agent systems to validate agentic reasoning and behaviors, scale human expertise, and drive research into real-world agent reliability failures despite strong benchmarks, shipping production fixes.
Ideal for exceptional engineers with deep research rigor and a relentless focus on practical, high-impact systems. You will iterate rapidly with data, leverage AI tools to accelerate development, and collaborate tightly across engineering, product, and research.
If you excel at turning frontier agent research into reliable deployed systems, we want to hear from you.
You will:
- Build and deploy multi-agent systems for agentic reasoning validation
- Develop pipelines to detect errors and scale human judgment
- Combine classical ML, LLMs, and multi-agent techniques for reliability
- Lead research into agent failure modes and ship fixes
- Use AI tools to speed prototyping and iteration
- Build data-driven evaluations and deploy rapid improvements
- Integrate systems into Scale's platform
Ideally You’ll Have:
- PhD or MSc in Computer Science, Mathematics, Statistics, or related field
- 3+ years shipping scaled production ML systems
- Demonstrated real-world impact
- Mastery of PyTorch, TensorFlow, JAX, or scikit-learn
- Deep expertise in agentic LLMs and multi-agent systems
- Strong software engineering and microservices (AWS/GCP)
- Rapid, data-driven iteration
- Proficiency using AI tools to accelerate work
- Strong research depth with practical bias
- Excellent cross-functional communication
Nice to Have:
- Experience prototyping agent evaluation/reliability systems
- Human-in-the-loop or annotation pipeline work
- Open-source contributions in agents, evaluation, or alignment
- Publications on agent reliability (NeurIPS, ICML, ICLR)
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AIMachine Learning Research Engineer, Agents - Enterprise GenAI
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AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world.
The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As an Agent MLRE, you will be working on applying our Agent RL Training + Building algorithms to real life enterprise datasets across our clients + benchmarks. This will involve creating best-in-class Agents that achieve state of the art results through a combination of post-training + agent-building algorithms.
If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you!
You will:
- Train state of the art models, developed both internally and from the community, to deploy to our enterprise customers.
- Research cutting edge algorithms to integrate directly into our training stack.
- Build agents that leverage our proprietary agent-building algorithms to automatically hill climb datasets – including defining highly performant tools, multi-agent systems, and complex rewards.
Ideally you’d have:
- 1-3 years of building with LLMs in a production environment
- Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc.
- Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years
- PhD or Masters in Computer Science or a related field
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AIMachine Learning Research Engineer, Agent Data Foundation - Enterprise GenAI
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AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world.
The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As MLRE on the Data Foundation team, you’ll work on cutting edge research to define the data flywheel that makes the whole machine move. This includes research around synthetic environments from task definitions, building agents for trace analysis, and contributing to a cutting edge framework that automatically hill-climbs agent-building from an eval set. This will involve creating best-in-class Agents that achieve state of the art results through a combination of post-training + agent-building algorithms.
If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you!
You will:
- Build synthetic data pipelines to generate enterprise environments to use for RL post-training
- Create agents to convert traces from production into actionable insights to use to improve agents
- Contribute to our agent building product which can construct other agents using coding agents + proprietary algorithms
- Train state of the art models, developed both internally and from the community, to deploy to our enterprise customers.
Ideally you’d have:
- 3+ years of building with LLMs in a production environment
- Clear experiences with constructing high quality data to use to improve an LLM/Agent
- Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years
- PhD or Masters in Computer Science or a related field
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AIStrategic Projects Lead, Generative AI
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Scale’s Generative AI business unit is currently seeing historic levels of growth. As a Strategic Projects Lead (SPL), you will leading initiatives that will drive $XXM+ in new revenue for the business. This is a demanding role, and as an SPL, you should be prepared to wear many hats such as Operator, Product Manager and customer-facing Engagement Manager. The ideal SPL should have a strong entrepreneurial mindset, be comfortable getting into the weeds, and be excited about intense, impactful work that leads to an accelerated career progression.
You will:
- Lead cross-functional projects with diverse stakeholders (Engineering + Ops + Go-to-Market)
- Partner with product and engineering teams to enhance products to fulfill needs of strategic customers and initiatives
- Own the execution of our data labeling operations for strategic projects
- Give regular progress updates to Scale’s executive team
- Work on some of the most impactful problems at the company
Ideally, you’d have:
- Strong technical background (a degree in computer science is ideal, and at minimum the role requires the ability to do data analytics using SQL or Python).
- 2+ years of experience leading a team, developing product or operational processes, or as a SWE.
- Strong problem solving capabilities (experience working on operational challenges or as a consultant is a plus).
- Entrepreneurial experience and mindset - you are excited about building things from scratch
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
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Apply to Scale AIStrategic Projects Lead - Coding
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Scale’s Generative AI business unit is currently seeing historic levels of growth. As a Strategic Projects Lead (SPL), you will lead initiatives that will drive $XXM+ in new revenue for the business. This is a demanding role, and as an SPL, you should be prepared to wear many hats across all dimensions of Operations. The ideal SPL should have a strong entrepreneurial mindset, be comfortable getting into the weeds, and be excited about intense, impactful work that leads to accelerated career progression.
You will:
- Serve as the full owner of our most visible and high impact customer pipelines, making decisions that directly impact data quality, operational efficiency, revenue, and margins
- Understand customer requirements and design data taxonomy best suited to improving model performance based on customer needs
- Build out pipeline infrastructure to ensure quality and efficiency
- Train, coach, and manage dynamic and global teams
- Build analytics to make data-driven decisions
- Partner with diverse stakeholders (Engineering + Product + Ops + Go-to-Market) to work on problems that will drive advancements for the largest LLMs in the world
- Give regular progress updates to Scale’s executive team
- A strong technical background is required for this position. For example, a degree in Machine Learning Engineering, Computer Science, or Software Engineering. The role requires the ability to do data analytics using SQL, Python, and a high proficiency in understanding Software Engineering processes
- 3+ years of experience leading a team/projects, managing operational processes, or 3+ years of experience as a SWE
- Strong problem-solving capabilities in technical environments - ability to come up with creative solutions to complex, ambiguous, operational, and technical problems
- Entrepreneurial experience and mindset - you are excited about building things from scratch and can identify issues and execute quickly
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
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Apply to Scale AIScale’s Robotics business unit is currently seeing historic levels of growth. As a Strategic Projects Lead (SPL) for the Data Collection team, you will lead initiatives that will drive $XXM+ in new revenue for the business. This is a demanding role, and as an SPL, you should be prepared to wear many hats across all dimensions of Operations. The ideal SPL should have a strong entrepreneurial mindset, be comfortable getting into the weeds, and be excited about intense, impactful work that leads to accelerated career progression.
You will:
- Serve as the full owner of our most visible and high impact customer and internal collection projects, making decisions that directly impact data quality, operational efficiency, revenue, and margins
- Understand customer requirements and design collection specifications best suited to improving model performance based on customer needs
- Build out project timelines and pipeline infrastructure to ensure quality and efficiency
- Train, coach, and manage dynamic and global teams of operators and collectors
- Build analytics and reports to make data-driven decisions
- Functionally lead a team of Operations Program Managers and Associates that support the execution of the project, define and assign tasks, monitor progress
- Partner with diverse stakeholders (Engineering + Product + Finance + Go-to-Market) to work on problems that will drive advancements for the largest Robotics models (VLAs/VLMs) in the world
- Give regular progress updates to Scale’s executive team
Ideally, you’d have:
- Strong technical background, combined with a business-oriented mindset (a degree in engineering or computer science is ideal + prior exposure to driving business outcomes).
- 3+ years of experience leading a project team, developing product or operational processes, or launching new operations.
- Excellent problem-solving capabilities (experience working on operational challenges is a plus) - ability to come up with creative solutions to complex, ambiguous operational problems
- Entrepreneurial experience and mindset - you are excited about building things from scratch and are able to identify issues and execute quickly
Nice to haves:
- Hands-on experience in Robotics, AI, and/or Computer Vision
- Experience working with global teams on different timezones
- SQL proficiency
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
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Apply to Scale AIStaff Product Manager, Agentic Platform
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Role:
Scale is at the forefront of the AI revolution, working across the US government, partners and allies around the world to unlock the potential of generative AI (GenAI).
We are seeking a product leader to join our team and play a pivotal role in building Agentic AI platforms to support national-level decisions, including for some of the nation’s most important national security challenges. The ideal candidate will have a strong understanding of product leadership, software engineering principles practices and deep experience with ML/AI application development, coupled with proven experience in managing complex projects with multiple stakeholder or AI-related projects within a government or highly regulated setting, emphasizing ethical AI deployment and robust risk management practices.
This role requires a strategic leader adept at navigating the complexities of government GenAI projects, ensuring Scale’s public sector AI solution aligns with agency objectives and adheres to stringent security and compliance mandates. The product manager will be responsible for the entire lifecycle of the generative AI platform, including product design, cross-program execution, capability prioritization, stakeholder engagement with various government entities, defining and managing engineering scope, developing detailed project plans, and overseeing resource allocation and budget management. A key focus will be on ensuring that Scale’s public sector AI solution operates securely within controlled network environments, and is configured properly to support government workflows, specifically those that relate to national defense.
Some examples of GenAI applications we build are:
- Agentic warfare and scenario planning
- Indications and warnings integration for the protection of critical continental level assets
- Deep research capability that can help evaluate thousands of pages of classified information
- Report generation for multiple customized report templates
- Text2SQL intelligence applications to make analysts more efficient and embed a culture of data-driven decision-making
You will:
- Develop enterprise grade solutions that leverage cutting edge AI and AI agents to drive value for public sector customers
- Work with executives at Scale and our customers to determine and execute the product strategy of the business.
- Own end-to-end product development by understanding customer pain points, defining product requirements, managing development, testing, and launches
- Lead cross-functional teams including engineering, product design, operations, marketing, go-to-market and finance.
- Develop a point of view and execute on turning the solutions we build into scalable software that we can commercialize across the industry
- Maintain a Top Secret security clearance
Ideally you'd have:
- Technical degree in computer science, engineering, or equivalent experience
- 4+ years of experience in building ML-powered and / or enterprise-facing products
- Strong understanding of generative AI technologies and their applications in public or large-scale private sector settings
- Experience operating in a fast-paced environment with high ambiguity
- Exceptional leadership, presentation, and communication skills with the ability to influence cross-functional teams
- Data literacy and experience with data analytics
- Prior military or government experience
- Coding experience (e.g. Python)
Nice to haves:
- Experience building infrastructure and tooling to develop and support agentic applications.
- Experience working in startup environments building solutions for public sector / federal customers.
- Understanding of public / federal networks, infrastructure, and deployment constraints.
- TS/SCI Security Clearance
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AIStaff Machine Learning Research Engineer, Agent Post-training - Enterprise GenAI
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AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world.
The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As a Staff Agent Post-Training MLRE, you will build out our next-gen Agent RL training platform. You’ll build out the platform that will train best-in-class Agents that achieve state of the art results on real enterprise use-cases.
You’ll integrate cutting edge research into our training stack, enabling MLREs on the Enterprise AI team to deploy use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models. If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you!
You will:
- Train state of the art models, developed both internally and from the community, to deploy to our enterprise customers.
- Research cutting edge algorithms to integrate directly into our training stack.
- Design solutions that enable complex multi-agent systems to directly learn from both process + outcome based rewards.
Ideally you’d have:
- 5+ years of LLM training in a production environment
- Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc.
- Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years
- PhD or Masters in Computer Science or a related field
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AIStaff Applied AI Engineer, Enterprise GenAI
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AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP).
The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you’ll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins. Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you’ll use to improve your product’s performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you!
You will:
- Own, plan, and optimize the AI behind our Enterprise customer’s deepest technical problems
- Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more
- Have experience gathering business requirements and translating them into technical solutions
- Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs
- Push production code in multiple development environments, writing and debugging code directly in both our customer’s and Scale’s codebases.
- Be able and willing to multi-task and learn new technologies quickly
Ideally you'd have:
- 7+ years of full-time engineering experience, post-graduation
- A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client’s business goals
- Strong engineering background: a Bachelor’s degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background.
- Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results
- Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
- Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas)
Nice to haves:
- Strong knowledge of software engineering best practices
- Have built applications taking advantage of Generative AI in real, production use cases
- Familiarity with state of the art LLMs and their strengths/weaknesses
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AIThe next frontier for AI is the physical world. At Scale, we're pioneering this shift, moving artificial intelligence from digital spaces into robotics and autonomous systems. Our Robotics team is building the data platform that will power the future of Physical AI. We are looking for a pivotal Solutions Engineer, to be based in our San Francisco Corporate Headquarters.
As a Solutions Engineer, you'll be a trusted technical partner, building deep relationships with some of the world's most innovative model builders and renowned robotics companies. You will partner closely with Product, Sales and Machine Learning Engineers to guide prospective customers through the pre-sales process, delivering customized demos and pilots that secure the "technical win." You'll define customer technical requirements, develop actionable Statements of Work, and collaborate with the delivery team on initial implementation. Your relentless curiosity about customer needs, combined with your expert knowledge of Scale's products will allow you to design creative and impactful solutions.
This is a critical role that directly influences multi-million dollar contracts and initiatives. You'll travel globally to conduct on-site technical workshops and scope new projects, while also leading demos and pilots for new prospects. You'll be part of a tight-knit, specialized team, influencing a rapidly growing business that is expanding into new product areas.
In this role, you will:
- Partner with Scale Account Executives and Engagement Managers to deliver new customer pilots and grow technical relationships with existing clients.
- Work with Product Engineering and Product Management to influence our product roadmap based on your frontline insights.
- Become a domain expert in next-generation Robotics and physical AI (e.g. VLMs, VLAs, World Models)
- Be accountable for the technical customer experience and commercial growth, expanding relationships and use cases with existing customers.
- Collaborate with highly technical engineers at our customer sites to ensure satisfaction with our data, software platforms, and workflows.
- Design and develop playbooks, demos, and other tools to ensure efficient and successful pilots and customer expansions.
- Pioneer the development of a global Robotics Data Marketplace, actively seeking out and engaging with key international partners to build a comprehensive data ecosystem.
- Evangelize Scale by interacting with customers at major industry events and academic conferences.
You have:
- A strong engineering background, preferably in Robotics, Mechatronics, Computer Science, Mathematics, or other Engineering fields.
- 3+ years of experience developing with Python, C++, Java, and/or other scripting languages.
- Hands-on experience in Robotics and Physical AI
- Exceptional project management and interpersonal skills, strong attention to detail, and a strong sense of ownership.
- The presentation skills and technical credibility to speak confidently with a variety of stakeholders, from executives to front-line engineers.
- A high level of comfort communicating effectively across internal and external organizations.
- Regular travel within the Bay Area.
- International travel approximately once every two months.
- Intellectual curiosity, empathy, and the ability to operate with a high degree of autonomy.
Bonus points if you have:
- Prior sales, solutions engineering, or partnership experience with a track record of successfully achieving quota.
- Ideally would have experience selling complex technical solutions to enterprises with deal sizes of $500K to $5M+.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AIAt Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations.
Example Projects:
- Ship tools to accelerate the growth of new qualified contributors on Scale’s labeling platform
- Build methodical fraud-detection systems to remove bad actors and keep Scale’s contributor base safe and trusted.
- Use models to estimate the quality of tasks and labelers, and guarantee quality on requests at large scale.
- Devise advanced matching algorithms to match labelers to customers for optimal turnaround and accuracy.
- Build methods to automatically measure, train, and optimally match labelers to tasks based on performance
- Create optimized and efficient UI/UX tooling, in combination with ML algorithms, for 100k+ labelers to complete billions of complex tasks
- Develop new AI infrastructure products to visualize, query, and explore Scale data
- Create a customer service RAG application that handles 1000s of questions a day
- Integrate a cutting-edge ML model that predicts churn with a customer's retention system
Requirements:
- A graduation date in Fall 2025 or Spring 2026 with a Bachelor’s degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics)
- Product engineering experience such as building web apps full-stack, integrating with relevant APIs and services, talking to customers, figuring out ‘what’ to build and then iterating
- Previous Product/Software Engineering Internship experience
- Track record of shipping high-quality products and features at scale
- Experience building systems that process large volumes of data
- Experience with Python, Typescript, React, and/or MongoDB
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
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Apply to Scale AIField Engineer, Public Sector
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Scale is a vital part of bringing AI-enabled technologies to the world, from autonomous driving to drones, robots, and large language models. For example, Scale works with the world's top self-driving car and robotics ML teams as well as the largest companies in the generative AI space.
As our customer base is growing, you will be on the front lines of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers.
Our Field Engineers ensure customers' experiences with Scale's technology are seamless and optimized to build a successful, long-term partnership. Field Engineers partner closely with Product, Engineering, and Operations to lead existing customers through building production-grade data pipelines. We do this by knowing our customer’s use-cases inside and out, and creating the tooling and documentation needed to scalably support their growth.
Field Engineers in general are experts on Scale's products and codebase, and have general technical knowledge on web development, using APIs, and working with large volumes of data. Field Engineers are strong relationship builders, great project managers, and always fun to work with.
The ideal person is a software engineer generalist who enjoys working with clients directly, taking ambiguous requirements and issues, and quickly designing and building sustainable solutions in close collaboration with the Product and Engineering teams. This role is at the intersection of customer delivery, product, and engineering, giving you a breadth of experience and fully leveraging both sides of your brain. If this sounds like you, we invite you to apply!
You will:
- Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back
- Work closely with our customer’s engineering teams to optimize data pipelines, including providing input towards designing API endpoints and input/output schemas
- Design, develop and maintain playbooks, internal tools, Scale’s documentation and SDKs to quickly get customers set up for long-term success
- Partner with Software Engineers and Operations to remove any technical hurdles customers may face / Debug technical issues impacting delivery and own technical escalations coming from the customer
- Be accountable for the customer’s technical experience throughout their time with Scale
- Work with AEs and PMs to identify customer-specific feature requests
- Develop technical domain expertise in areas of Large Language Models, 2D Image Annotation, and working with API integrations
- Evangelize Scale and interact with customers at major events
- Have an active TS/SCI clearance
Ideally you'd have:
- Track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way
- Prior technical hands-on experience working with clients in a pre or post-sales capacity to realize business goals
- Prior experience developing with Python and JavaScript, or other modern software languages
- Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields
- Strong project management and interpersonal skills
- Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers
- High level of comfort communicating effectively across internal and external organizations
- Intellectual curiosity, empathy, and ability to operate with high velocity
Nice to haves:
- Experience in AI
- Experience working in classified environments
- Previous experience as a technical go-to-market resource
- Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and continuous integration/deployment
- Hands-on knowledge of container orchestration with Kubernetes and experience with Helm charts for application deployment
- Experience automating infrastructure and configuration management using Ansible or similar tools
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AIScale's public sector business is providing the best of American commercial technology and innovation to protect the homeland and meet the moment. As a member of our public sector delivery team, you will own relationships critical to the portfolio of clients charged with a layered defense for the United States. You will be a catalyst, willing to go deep, get technical, and drive change. You will manage customer relationships and partners as well as partner with our engineering team to solve Scale’s hardest problems. All of this serves an ultimate goal of delivering cutting-edge agentic AI to orchestrate portfolio management for defense of the homeland.
You will:
- Drive innovation and transformation by diving deep into technical and operational challenges, solving undefined problems, and delivering impactful agentic AI solutions
- Transition AI/ML technologies and processes into working products / solutions even when requirements are undefined or ambiguous
- Partner with Scale engineering, operations, and other public sector teams to build and deliver AI systems tailored to unique government use cases in the computer vision and generative AI domains
- Lead a cross-functional team to exceed the customer’s AI/ML objectives
- Support and partner across B2B and B2G organizations to achieve the outcomes in delivering the greater layered defense for the United States
We have a diverse team with a variety of skill sets, many have:
- 5+ years of professional experience, often in a customer-facing technical program management role in industry or government.
- A proven track record in B2B or government client facing roles and expanding client relationships
- Prior experience leading engagements with government customers
Must haves:
- An active TS/SCI clearance
- Minimum of 3 years of work experience leading teams / programs in industry or government
- A basic understanding of ML operations process
- A track record of structured, analytics-driven problem-solving
- Excellent verbal and written communication skills
- Willingness to travel at least 25% of the time
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AISenior Machine Learning Engineer, Public Sector
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The goal of a Senior Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of robust internal infrastructure and unique access to massive datasets to deliver improvements to our customers.
Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like Donovan and Thunderforge. Our work spans multiple modalities, with a strong focus on both large language models and computer vision. On the LLM side, we are developing agentic systems that help solve complex operational and planning challenges for government partners. This includes building agent frameworks that integrate with custom retrieval pipelines and production APIs, as well as evaluation tools to benchmark and refine agent behavior. We're also advancing research in areas like reinforcement learning for agentic LLMs, with successful deployment into real-world operational environments. On the computer vision front, we're training advanced models to increase labeling throughput and automate perception tasks. Our efforts include building large-scale fine-tuning pipelines, training models across multiple modalities, and developing generalizable vision foundation models to support a wide range of defense applications.
You will:
- Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers
- Improve and maintain production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics
- Collaborate with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines
- Work with massive datasets to develop both generic models as well as fine tune models for specific products
- Build scalable machine learning infrastructure to automate and optimize our ML services
- Serve as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations
- Be comfortable learning new technologies quickly and managing multiple priorities in a fast-paced environment
- Comfortable with light travel (approximately 10%) for customer interaction and team needs
- This role will require an active security clearance or the ability to obtain a security clearance
Ideally You’d Have:
- Extensive experience with GenAI, Agentic AI, natural language processing, deep learning and deep reinforcement learning, or computer vision in a production environment
- Solid background in algorithms, data structures, and object-oriented programming
- Strong programing skills in Python, experience in Tensorflow or PyTorch
Nice to Haves:
- Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization
- Experience working with cloud platforms (eg. AWS or GCP) and deploying machine learning models in cloud environments
- Experience with computer vision, generative AI models, large language models, or agentic systems
- Familiarity with ML evaluation frameworks and agentic model design
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AI