About role

Roku is seeking a senior-level Identity Engineer to enhance its Zero-Trust architecture, drive standardization initiatives, and optimize its Microsoft-centric identity platform for a geographically distributed workforce. The ideal candidate has hands-on experience in identity and access management (IAM) and securing cloud environments within the Microsoft ecosystem, with deep expertise in Azure Entra ID. Equally important is a strong automation mindset—designing, scripting, and building repeatable workflows. The role also requires the ability to communicate complex technical concepts clearly to both technical and non-technical audiences. 

For New York Only - The estimated annual salary for this position is between $158,000 - $279,000 annually.  Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What you'll be doing

• Lead enterprise-wide IAM standardization, including identity lifecycle, access governance, and policy enforcement across global regions.
• Drive automation across IAM to streamline administration and deliver a smoother user experience.
• Support enterprise applications onboarding into Azure Entra ID, including SSO, Conditional Access, and role-based access control (RBAC).
• Enhance privileged access management and implement scalable monitoring, alerting, and auditability solutions to support a secure, geographically distributed workforce.
• Collaborate with IT, Networking, and Security teams to troubleshoot identity-related issues and support global infrastructure initiatives.
• Advance Zero Trust Identity Fabric principles like continuous verification, least-privilege access, and identity-aware policy enforcement across users, devices, workloads, and non-human identities.
• Build identity automation with a DevOps mindset, writing scripts, developing pipelines, and engineering tooling from scratch rather than just configuring them.

We're excited if you have

• 8+ years of hands-on experience with identity and access management and automating cloud technologies, particularly within the Microsoft ecosystem.
• Strong analytical skills and attention to detail, with the ability to troubleshoot complex infrastructure and identity-related issues.
• Excellent communication skills, with the ability to clearly explain technical concepts to both technical and non-technical stakeholders.
• Deep experience with Microsoft Entra ID, including Conditional Access, Identity Governance, and Privileged Identity Management.
• Familiarity with Microsoft 365 services: Exchange Online, Defender, Purview, Sentinel, Intune, and related platforms.
• Automation and scripting skills using PowerShell, Azure CLI, and Microsoft Graph API; working knowledge of Azure services such as Function Apps and Logic Apps.
• Experience in onboarding and managing enterprise applications in Azure Entra ID.
• Advanced knowledge of Azure Single Sign-On (SSO) login methods, including OAuth2, OpenID Connect, and SAML, and their integration with enterprise applications.
• Knowledge of privileged access tools (Azure PIM, CyberArk, etc), secrets management (HashiCorp or Azure Key Vault), and workload identity patterns SPIFEE & SPIRE.
• Familiarity with NHI governance concepts for service accounts and AI agents, and exposure to OPA / Rego or similar policy-as-code frameworks.
• Good to have familiarity with Microsoft Purview for DLP and data classification.
• Strong understanding of multi-factor authentication and FIDO2.
• Familiarity with IT security frameworks and compliance standards.
• Knowledge of logging, monitoring, and alerting practices for identity and access events.
• Basic understanding of email security and DNS.
• Experience with backup and recovery strategies for identity-related services.
• Understanding of Zero Trust Architecture principles.
• Familiarity with Jira and Confluence.
• B.S. in Computer Science, Information Technology, Engineering, or equivalent experience. 

#LI-SR2

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. 

About the Team 

A highly scalable and highly available real-time advertising platform is crucial for supporting and growing Roku's advertising business. The mission of the Ad Engineering Team is to build this platform. We are hiring a Senior Software Engineer for the Advertising Platform to play a vital role in this mission. If you bring extensive experience building complex systems, love great technology at scale, enjoy mentoring, jumping in, and figuring things out in any system, this role is for you! 

About the Role 

Roku pioneered TV streaming and continues to innovate, leading the industry. The Roku Channel has us well-positioned to help shape the future of streaming. Continued success relies on investing in Advertising Engineering. The ideal candidate will possess endless curiosity and be able to pair a global mindset with locally relevant execution. The successful candidate will demonstrate a balance of hard and soft skills, including the ability to respond promptly to evolving business needs.

Building a real-time, highly scalable, and available advertising platform is critical for our success. Our team’s mission is to build a best-in-class advertising platform to support and grow Roku’s exploding ad business. Our platforms are highly performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy.

For New York Only - The estimated annual salary for this position is between $195,000 - $408,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. 

What You'll Be Doing

• Work alongside a highly skilled engineering team to design, develop, and maintain large-scale, highly performing, real-time applications 
• Own building features, driving directly with the product, and other engineering teams 
• Demonstrate excellent communication skills in working with technical and non-technical audiences 
• Be an evangelist for best practices across all functions – developers, QA, and infrastructure/ops 
• Be an evangelist for platform innovation and reuse 
• Deliver top-quality software in a timely fashion 

We're Excited If You Have

• 10+ years of experience building large-scale and low-latency distributed systems
• Command of Java or C++
• Solid understanding of algorithms, data structures, performance optimization techniques, object-oriented programming, multi-threading, and real-time programming 
• Experience with distributed caching, SQL/NoSQL, and other databases is a plus 
• Experience with Big Data and cloud services such as AWS/GCP is a plus
• Experience in the advertising domain is a big plus 
• B.S. or M.S. degree in Computer Science, Engineering, or equivalent 
• Self-motivated individual with a high level of accountability and ownership
• Critical thinking and practical decision-making
• Can do, results-oriented mindset
• Nonpolitical, collaborative, and team-oriented
• Desire to win in a highly competitive industry
• AI literacy and curiosity. You have either 1) tried Gen AI in your previous work or outside of work or 2) are curious about Gen AI and have explored it

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

Kapitus is seeking a strategic and execution-oriented Director of Product to lead high-impact product initiatives across the organization. This role will partner closely with executive leadership and cross-functional teams to shape product strategy, drive measurable business outcomes, and ensure disciplined execution across products and platforms.

While this is a Director-level role, it will initially operate as a senior individual contributor with end-to-end portfolio accountability. This leader must be equally comfortable defining strategy and driving execution. As the product function matures, this individual will build and lead a team of Product Owners and Business Analysts.

This role serves as a critical bridge between business priorities and technical delivery, ensuring that product investments improve revenue performance, operational efficiency, scalability, and customer experience.

What You’ll Do:

Product Strategy & Business Case Development

· Partner with the VP of Product to shape product vision, portfolio priorities, and long-term roadmap

· Develop clear business cases for new initiatives, including ROI analysis, cost considerations, risk assessment, and success metrics

· Translate company objectives into outcome-driven roadmaps grounded in measurable impact

· Ensure alignment across Product, Engineering, Sales, Operations, Legal, and Finance

· Drive prioritization decisions based on business value, effort, and strategic fit

Market Research & Opportunity Assessment

· Conduct market research, competitive analysis, and customer discovery to inform product direction

· Evaluate build vs. buy decisions through structured analysis

· Identify growth opportunities, monetization strategies, and operational efficiency improvements

· Present insights and recommendations to executive stakeholders with clarity and confidence

Vendor Evaluation, Management & Onboarding

· Identify, evaluate, and select third-party vendors or technology partners when appropriate, in accordance with vendor onboarding and compliance requirements

· Lead due diligence, contract evaluation, and implementation planning in partnership with Legal, Finance, and Technology

· Oversee vendor onboarding and integration into internal systems and workflows

· Monitor vendor performance, ROI, and ongoing value realization

Hands-On Product Ownership (Immediate Need)

· Act as Product Owner for key initiatives until additional roles are hired

· Ensure solutions are scalable, repeatable, and well-documented

· Drive initiatives from concept through launch and post-release performance measurement

Operational Foundation & Team Building

· Refine product management processes, documentation standards, and intake frameworks

· Establish and enforce scalable prioritization and governance models

· Participate in hiring and onboarding of future Product Owners and Business Analysts

· Mentor and develop team members as the organization grows

Execution & Accountability

· Ensure predictable delivery and strong cross-functional communication

· Serve as escalation point for product trade-offs and decision-making

· Define and track KPIs tied to revenue, operational efficiency, and customer impact

· Continuously refine processes to improve speed, quality, and transparency

· Scale impact through strong judgment, prioritization discipline, and process improvement before expanding team size

What We’re Looking For:

· Bachelor’s degree in Business, Information Systems, Computer Engineering, or a related field; MBA or other advanced degree preferred

· 8–12+ years of product management experience with demonstrated ownership of complex initiatives, platforms, or portfolios

· Experience in fintech, lending, financial services, or other regulated or risk-managed environments, with a strong understanding of financial systems, processes, and industry best practices

· Proven track record of delivering measurable business outcomes, including revenue growth, operational efficiency gains, or improvements in sales performance

· Ability to operate strategically while driving execution, managing both long-term product direction and day-to-day delivery outcomes

· Strong business judgment and the ability to make principled tradeoffs when balancing risk, speed, and value

· Intellectual agility and comfort operating in ambiguity within fast-moving or evolving environments

· Demonstrated ability to scale impact through sound judgment, prioritization, and operational discipline before expanding headcount

· Demonstrated ability to influence senior leaders and external partners, building alignment and trust across cross-functional stakeholders

· Excellent verbal and written communication skills, with the ability to engage effectively in executive forums and translate complex concepts for both technical and non-technical audiences

· Strong analytical and problem-solving capabilities, with a data-driven approach and attention to detail

· High accountability with a bias toward measurable outcomes, continuous improvement, and operational excellence

Preferred Skills:

· Experience in managing sales related products and processes

· Experience with Salesforce and API integrations

· Demonstrated ownership of measurable business outcomes

· Professional certifications in Product Management and/or Agile Practices

Kapitus Total Rewards Package Includes:

Competitive Base Salary Range of $157,100-$252,000 Kapitus is providing this as a good faith salary range to comply with applicable law. The applicant’s final salary will depend on a number of factors including the applicant’s geographic location, skills, and experience.

Annual Incentive Compensation Eligibility – Up to 15% annually

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 

Recorded Future provides intelligence that 1,500+ clients use to defend their people and networks from cybersecurity threats. We are looking for a Fraud Analyst to join our Threat Intelligence team! 

What You’ll Do:

• Conduct research on emerging cyber threats, adversary activity, and global threat trends
• Collect, analyze, and synthesize data from a variety of technical and open sources to produce actionable intelligence
• Support tracking of threat actor infrastructure, campaigns, and evolving tactics, techniques, and procedures (TTPs)
• Monitor and assess Chinese-language sources to identify relevant threat activity and insights
• Contribute to the production of high-quality intelligence reporting for internal and external stakeholders
• Assist in identifying and developing indicators and detection opportunities
• Collaborate with cross-functional teams, including other intelligence, engineering, and data science teams
• Continuously develop technical expertise and stay current on evolving threat landscapes and tradecraft

What You'll Bring:

• BA/BS or equivalent experience in Computer Science, Information Security, Intelligence, Security Studies, or a related field
• 1–2 years of experience in Threat Intelligence, Cybersecurity, or a related discipline (including internships or academic research)
• Foundational understanding of cyber threat analysis and intelligence methodologies
• Basic knowledge of networking concepts, including TCP/IP, DNS, and internet infrastructure
• Experience or familiarity with analyzing technical artifacts such as domains, IP addresses, and related metadata
• Familiarity with OSINT collection and analysis techniques
• Exposure to common CTI tools and workflows (e.g., Jupyter Notebook, Maltego, Elastic Stack, or similar platforms)
• Understanding of structured analytic techniques and frameworks such as MITRE ATT&CK, the Cyber Kill Chain, or the Diamond Model
• Strong analytical, problem-solving, and critical thinking skills
• Effective written and verbal communication skills, with the ability to convey technical concepts to diverse audiences
• Ability to work collaboratively in a fast-paced, globally distributed team environment

Required:

• Professional working proficiency in Chinese, with the ability to read, analyze, and synthesize native-language sources

Preferred Qualifications:

• Experience analyzing financially motivated cyber activity, including phishing, scams, or account compromise
• Basic scripting or programming experience (Python preferred) for data analysis or task automation
• Familiarity with underground ecosystems such as forums, marketplaces, or messaging platforms (e.g., Telegram)
• Understanding of payment systems, cryptocurrency usage, or fraud-related typologies
• Experience working with threat intelligence datasets or large-scale data analysis
• Exposure to detection development or identifying indicators of malicious or suspicious activity
• Working knowledge of Russian is a plus

The base salary range for this full-time position is $78,500-$117,500. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.

#LI-Remote

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.

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.

Noom is on a mission to help people live better, longer. We’re a consumer-led digital health company, connecting people to content, coaching, community, and clinicians, to build lasting habits and live healthier lives. We’re a high-growth organization powered by science, technology, and world-class talent. When you join Noom, on any team, you’ll see the impact of your work on the world.

Our B2B Team

Noom’s B2B team partners with employers, health plans, and organizations to deliver scalable, data-driven health solutions that improve outcomes and drive measurable value. By combining behavioral science with robust analytics, this team ensures our partners have the insights and tools needed to support their populations and make confident, informed decisions.

About the Role

As we continue to grow, we’re seeking a Business Analyst, Commercial to deliver high-quality analytics, reporting, and insights that power client success and commercial decision-making. In this highly cross-functional role, you’ll partner with Client Success, Sales, Product, Data/Analytics Engineering, and Operations to ensure our enterprise clients have accurate, actionable data. Your work will span dashboard development, ad-hoc analysis, and data quality improvements—enabling stakeholders to self-serve insights without compromising accuracy or compliance.

You Will

• Own client-facing reporting and analytics delivery for QBRs, renewals, and expansion efforts, including engagement, outcomes, utilization, and program performance insights
• Deliver high-impact ad-hoc analyses for Sales, Client Success, and leadership, translating ambiguous questions into clear metrics, queries, and actionable outputs
• Build, maintain, and enhance Looker dashboards and explores, improving usability through standardized definitions, intuitive design, and clear documentation
• Ensure data accuracy and consistency by proactively validating dashboards, managing changes in upstream data, and performing regression checks
• Investigate and resolve data discrepancies in partnership with Data/Analytics Engineering, identifying root causes and clearly communicating outcomes to stakeholders
• Support operational analytics across billing, eligibility, and partner reporting requirements, while driving scalability through standardization, automation, and documentation

About You

If you’re interested in shaping the future of health by delivering trusted, scalable analytics that empower enterprise partners, this role may be for you!

You Have

• Bachelor’s degree in Business, Economics, Statistics, Mathematics, Computer Science, or a related field (or equivalent practical experience)
• 3+ years of experience in business or data analytics, ideally in healthcare, benefits, or B2B SaaS environments
• Strong proficiency in SQL, including joins, aggregations, window functions, and debugging complex datasets
• Hands-on experience with Looker or similar BI tools, building dashboards and stakeholder-facing reports
• Proven ability to translate complex, ambiguous questions into clear analyses and actionable insights
• Excellent communication skills, with the ability to explain methodologies and findings to both technical and non-technical audiences
• Experience with healthcare data (e.g., eligibility, enrollment, outcomes, or claims concepts) is a plus
• Familiarity with modern data stacks (e.g., dbt, Snowflake, Databricks, BigQuery) and data quality practices
• Experience supporting Client Success or Sales workflows (e.g., QBRs, renewals, expansion analytics) preferred
• Comfort working in a fast-paced, ticketed environment (e.g., Jira) with shifting priorities

What Makes This Job Amazing

• You’ll help millions of people live healthier lives while supporting enterprise partners at scale
• You’ll work on high-impact analytics that directly influence renewals, expansion, and client trust
• You’ll partner with a strong cross-functional group spanning Client Success, Sales, Product, and Data
• You’ll grow quickly in a transparent, high-performance environment with meaningful ownership

What You'll Earn and Enjoy

• Pay that reflects your impact. Compensation benchmarked to the market and shaped by your impact and value.
• Investment in your future. A 401(k) with company match to help you build long-term financial security.
• Time to truly recharge. Paid holidays, generous time off, Summer Fridays, and a company-wide Summer Break week so the whole team can unplug together.
• Care that covers it all. Access to top-tier medical plans for you and your family, including a premium-free plan option, alongside dental, vision, and life insurance.
• Support for growing families. Paid parental leave to give you the time and flexibility to focus on what matters most.
• And more to help you thrive. Stock awards, a performance-based bonus, and exclusive access to Noom’s products, so you can grow with us, win with us, and enjoy what we build.

The base salary range for this position is $101,000 - $129,000. Actual compensation is determined by job-related factors, including experience, skills, qualifications, and location. 

This role is eligible for our NYC or Princeton office locations, operating on a hybrid schedule (2 days per week on-site).

More About Noom

Noom is a leading whole-person health platform on a mission to help people live better, longer. We combine personalized medication with the science of behavior change and psychology, to help people build lasting habits and live longer, healthier lives. With nationally-recognized, holistic programs spanning weight, diabetes prevention, GLP-1 support, menopause, longevity, and more, we serve millions through health plans, employers, and direct-to-consumer offerings. As a trailblazer in the world of health and wellness, Noom makes healthy living easy, fun, and deeply rewarding.

We’re more than a health tech company—we’re a movement. This belief extends to our culture: we empower our people to think big, act boldly, and take pride in their contributions to shaping the future of health. With a strong remote culture, as well as offices in NYC and Princeton, we’ve been named one of the Best Places to Work by Inc., Fortune, Glassdoor, and Quartz—including honors for technology and diversity.

Join us in shaping the future of health. You’ll be part of a passionate, mission-driven team working to make the world a healthier place—one habit at a time.

Noom is proud to be an Equal Opportunity Employer, and all applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, caste, national origin, physical or mental disability, protected veteran status, age, or any other characteristic protected by applicable law. Noom is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities.

To help protect against potential hiring scams, please be aware that all email communications from the Noom Talent team and/or hiring managers will come only from an @noom.com email address. Please ignore any messaging or communication from other domains (e.g. @noom.team). Noom will never ask you for personal payment, require you to purchase equipment, conduct an interview process or messaging exchange via Microsoft Teams, or extend a job offer without the completion of a multi-step interview process featuring a combination of phone, Zoom, and in-person interviews, as well as references. If you are unsure about the validity of a Noom job posting on another website, we strongly encourage you to apply directly through our website.

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.

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.

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.

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.

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.

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.

Job Summary

The Senior RFP Manager will lead the end-to-end development of RFQs, RFPs, and client-facing items at the prequalification and proposal phase. This individual will manage proposal procurement with key team members, communication with Professional Team Members, as required, and Internal Team Members, preparation of the Required Submission working together with RFP Team Members and Assigned Internal Team Members, and cross-functional coordination while mentoring the RFP Team.

This role requires a strategic thinker who understands both construction operations and strategic organizational/planning skills and time management.

Responsibilities and Duties

Strategic Leadership

• Collaborate with the leadership team
• Partner with Business Development, Operations, Estimating, and Marketing to align with Core Values and Cohesiveness of Team.
• Drive continuous improvement of proposal processes and content. Working with Marketing and Team Leaders.

Proposal Development

• Manage the full lifecycle of RFQs/RFPs from kickoff through submission.
• Review, edit, and refine executive summaries and key technical narratives, provided by Project Team Members, for inclusion in the Proposal or Deliverable.
• Ensure proposals are compliant with RFP/RFQ Requirements and visually cohesive.
• Coordinate/assemble, working with Marketing/Assigned Project Team Members, required graphics/schedules, resumes, and project sheets.

Team & Process Management

• Oversee/manage proposal calendars and deadlines, working with Estimating and RFP Coordinators
• Manage and mentor RFP Team Members
• Establish new workflow processes, if required, to ensure quality, efficiency, and internal Core Values.
• Ensure proposal tracking systems are up to date, working with RFP Coordinators

Key Competencies

• Strategic thinker with a growth mindset
• Executive-level communication skills
• Exceptional organization and deadline management
• Strong leadership presence
• Detail-oriented without losing big-picture vision
• Collaborative and solution-driven

Qualifications and Skills

• 8–12+ years of proposal management experience within construction, engineering, architecture, or related professional services.
• Proven experience leading large, complex proposals.
• Strong writing, editing, and proofreading skills.
• Ability to translate technical information into client-focused communications.
• Experience managing/communicating with teams and cross-functional stakeholders.
• Bachelor's degree in marketing, Communications, Business, or related field preferred.

Computer Systems

• Proficiency in PowerPoint and Microsoft Office Suite.
• Experience in bidding platforms (i.e., Procore, PMWeb, Ariba, Ivalua, Total Bid, Lucernex, Vendor Café, etc. (Partial List)

Salary Information

• To the extent this role is performed in New York City, the annual salary range is $160k-170k base. 

#LI-Hybrid

About Nanit:

Welcome to Nanit, the high-growth baby tech company that is changing the way parents experience parenthood through the world’s most advanced baby monitor and parenting products. In 2016, the Nanit baby monitor revolutionized the industry with computer-vision and machine-learning capabilities that helped parents understand their baby’s sleep patterns and allowed them to achieve better sleep quality. Now, the company has become the leader in the connected parenting space, with an incredible customer base of highly-engaged parents who look to Nanit as a source of information and expertise on their parenting journey.

About the Role:

Nanit is seeking a Global Product Safety & Compliance Manager to lead our product regulatory, safety, and compliance programs across all markets. Reporting to the Chief Legal & Administrative Officer, this role will serve as the company’s subject matter expert on product safety governance, regulatory risk, and global certification requirements.

You will partner cross-functionally with our Product, Engineering, Operations, Supply Chain, and Customer Success teams to ensure compliance is embedded throughout the product lifecycle—from early design through post-market monitoring. 

Parents trust Nanit during some of the most important moments of their lives. Ensuring our products meet the highest global safety and compliance standards protects our customers, our brand, and our long-term growth. This role is critical to enabling responsible innovation at scale.

What You’ll Be Doing: 

• Own Nanit’s global product safety and regulatory compliance strategy across North America, EMEA, and other markets.
• Advise executive leadership on regulatory risk, emerging requirements, and market entry considerations.
• Manage country-specific registrations and documentation requirements for global distribution.
• Oversee Declarations of Conformity, Technical Files, and compliance documentation retention.
• Embed regulatory requirements into product development and change management processes.
• Conduct regulatory risk assessments for new products and product modifications.
• Review labeling, packaging, user manuals, BOMs, and marketing claims for compliance alignment.
• Ensure compliance readiness prior to mass production.
• Support field incident review and product safety investigations in partnership with Legal and Customer Success teams.
• Develop and maintain recall readiness and corrective action procedures.
• Monitor customer feedback trends for potential safety or regulatory implications.
• Support regulatory reporting obligations where required.
• Build scalable compliance policies, SOPs, and governance frameworks.
• Develop training materials and conduct cross-functional compliance training.
• Oversee safety, EMC, RF, environmental, and reliability testing programs.
• Manage relationships with third-party testing labs and certification agencies.
• Ensure proper traceability, labeling accuracy, and documentation controls.
• Monitor and interpret evolving regulations and proactively guide internal stakeholders.
• Lead global certifications and approvals, including but not limited to:
• • CE (RED), UKCA
  • FCC, ISED (Canada)
  • UL/ETL safety certifications
  • RoHS, REACH, WEEE
  • CPSIA and applicable children’s product regulations
  • California Prop 65
  • Bluetooth/Wi-Fi certifications

Who You Are:

• 7+ years of experience in global product safety, regulatory compliance, or quality engineering.
• Experience with consumer electronics, connected/IoT devices, or juvenile products strongly preferred.
• Demonstrated experience managing international certifications and regulatory submissions.
• Experience working with contract manufacturers and third-party labs.
• Deep understanding of electrical safety, EMC, RF, and environmental regulations.
• Familiarity with children’s product safety requirements (CPSIA, ASTM standards preferred).
• Strong documentation discipline and experience maintaining Technical Files.
• Ability to assess regulatory risk and provide pragmatic, business-oriented guidance.
• Strong cross-functional leadership and influence without direct authority.
• Clear communicator capable of translating complex regulatory standards into actionable guidance.
• Highly organized, detail-oriented, and comfortable managing multiple concurrent certifications.
• Ability to operate independently in a remote environment while collaborating closely with NYC-based teams.
• Bachelor’s degree in Engineering, Regulatory Affairs, Quality, or related field.
• Advanced degree or certifications (e.g., RAC, CQE) a plus.

Why You’ll Love Working Here:

• Hybrid in office schedule 
• Remote work from home month in August 
• Flexible PTO (we trust you to take the time you need)
• Equity options so you can share in our growth
• Paid parental leave for all new parents
• Employee discounts on Nanit products
• Work from home stipend
• Monthly team events

EEO, Salary and Location: 

This is a remote role with periodic travel to Nanit’s NYC headquarters.

Salary Range: $130,000 to $150,000 base salary + plus equity and benefits. The base pay is one component of Nanit's total compensation package, which may also include access to healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, and basic life insurance. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.

We are proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class.

About Role

Clockwork is seeking a sales-savvy individual with extensive technical expertise in AI networking to fill our Senior Solutions Engineer position. Do you thrive in a fast-paced, dynamic environment? Utilize your networking expertise, systems engineering background, and consultative skills to partner with our sales team throughout the entire customer journey—from understanding requirements and delivering compelling technical presentations and demos to conducting proof-of-concept (PoC) evaluations and overseeing complex software deployments.

What you will do

• Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.
• Lead proof of concept evaluations to showcase the value of Clockwork's solutions within customer environments.
• Provide technical leadership during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.
• Work closely with Clockwork's sales team to complete PoC evaluations and close deals.
• Collaborate with product and engineering teams, and identify opportunities for product enhancement.
• Offer valuable insights on product features, functionality, and performance, contributing to discussions about product strategy and architecture.
• Stay abreast of the latest developments and trends in AI networking, Kubernetes, and cloud computing, sharing your thought leadership with customers and internal stakeholders.
• Represent Clockwork at conferences and industry events, with occasional travel as required.

Experience/skills you bring to the position

• 5+ years in a solutions architect or engineering role, preferably within cloud or AI infrastructure domains.
• Previous pre-sales experience, including POCs, with client stakeholders, including senior technical staff and management.
• Hands-on experience with cloud platforms (AWS, GCP, Azure, OCI).
• Strong understanding of Kubernetes and container orchestration.
• Familiarity with GPU infrastructure and related technologies.
• Extensive knowledge of networking protocols.
• Excellent communication and relationship-building abilities, with a customer-centric mindset.
• Demonstrated ability to troubleshoot complex technical issues and provide effective solutions.
• A degree in computer science, electrical engineering or related field.
• Proficiency with Python, SQL, and Linux (Golang, C, C++, and Java are a plus).

Compensation for this position will vary based on the skills and experience you bring, as well as internal equity considerations. For candidates hired at the posted level, the expected base salary range is $170,000 - $250,000. In addition to cash compensation, this role is eligible to participate in the company’s equity program, which may include stock options granted in accordance with the company’s equity plan and subject to approval and applicable vesting schedules.

Enjoy

• Challenging projects.
• Competitive compensation.
• A great benefits package.
• A friendly and inclusive workplace culture.
• Catered lunches.

ABOUT VEG

In 2014, VEG was born with a mission to help people and their pets when they need it most. This meant challenging the status quo and fixing everything that was wrong with the ER experience. Since then, we’ve expanded rapidly, with hospitals nationwide open 24/7, 365 days a year, and created a better emergency experience—not only for people and their pets, but also for everyone who works here—our VEGgies!

At VEG we find a way to say yes to the career you want in veterinary emergency medicine. This means transforming how ER works, from our open-concept hospitals, where you can handle emergency cases of every kind (even exotics!) to our immersive, customer-focused experience, which helps us give people and their pets the care they deserve.

This also means saying yes to creating the greatest experience possible for our VEGgies. Yes to working in an environment where you can find your place and feel valued for the amazing work you do. Yes to having unparalleled opportunities for learning and mentorship so you can grow where you want to go in your career. And yes to making an impact here in ways you never thought possible.

VEG is a 2025 and 2026 certified Great Place to Work®.

THE JOB

At VEG, we don’t just hire assistants—we grow future emergency rockstars. As a per diem Emergency Veterinary Assistant, you’ll be in the heart of the action from day one, supporting your team, comforting pet parents, and learning the ropes in real time. You’ll be there for everything—the triage, the treatments, and the tail wags. You’re embarking on a path where careers start, grow, and thrive. Whether you’re on your way to becoming a credentialed technician or exploring where your passion can take you, we’ll say yes to your growth every step of the way.

WHAT YOU’LL DO*

• Be the first warm welcome and a steady support, triaging incoming patients and helping guide them toward care
• Assist with treatments, nursing care, and diagnostics, from bloodwork and imaging to catheter placement and oxygen support
• Work alongside our credentialed veterinary technicians and veterinarians to set up and monitor anesthesia and sedation cases
• Set up and manage IV fluids, blood transfusions, and medication administration
• Assist during every moment of care: outpatient or inpatient, exam room to treatment area.
• Join patient rounds and stay close to the clinical picture to ensure continuity of care.
• Learn how to perform CPR and become a RECOVER Certified Rescuer (training provided!)
• Grow into more advanced responsibilities, such as anesthesia support, ultrasound, and catheterization through guided training pathways

*As permitted by state law

WHAT YOU NEED

• High school diploma or equivalent required
• Enrolled in an AVMA-accredited veterinary technology program a plus
• 1+ years in a veterinary assistant role (emergency or specialty experience is a bonus!)
• Basic computer skills and an understanding of practice management software and electronic medical record keeping
• Excellent communicator when collaborating with pet parents and your team
• Fine motor skills for handling patients and medical equipment
• Ability to stand for prolonged hours, kneel, and work on the floor as well as ability to lift up to 25 kg on own and able to support up to 40 kg with assistance
• Must be willing to work in a noisy environment with strong or unpleasant odors.
• Availability to work nights, weekends, and holidays on a rotating or as needed basis based on hospital needs
• Work well in a fast-paced environment with people from all backgrounds and different personality types

WHO YOU ARE

• Empathetic, instinctively taking a people-centric approach, whether supporting your colleagues or making an effort to understand different perspectives
• Have a sense of humility; acknowledging mistakes, sharing credit with others, and lifting up your team’s’ accomplishments
• Feel a strong sense of ownership over your work, taking responsibility for outcomes and staying committed to achieving long-term, impactful results 
• Curious by nature; you ask insightful questions and continuously seek out opportunities to learn and grow your skills and knowledge

HOW WE INVEST IN YOU

• Competitive compensation ($21.00 - $45.00/hr)
• Flexible work schedules to support your life outside of work
• Generous employee referral program, so our awesome people can bring in more awesome people
• And the little (big) things, like comfy scrubs, cool VEG swag, food in the fridge for when you’re hungry

DEI

At VEG, diversity is not just a word—it's a strength that fuels innovation and kindness. Our mission is “Helping people and their pets when they need it most.” And we do that better when our VEGgies (employees) feel valued, respected, and empowered to bring their authentic selves to work. That's why we're devoted to creating an environment that reflects the diverse communities we serve—where different perspectives are not only welcomed but celebrated.

We are focused on providing equitable opportunities for growth, promoting inclusive decision-making, and ensuring that everyone's perspective is considered. Saying yes to VEG means helping us build a culture where your unique experiences and background contribute to a shared vision: being the world’s veterinary emergency company.

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

ABOUT VEG

In 2014, VEG was born with a mission to help people and their pets when they need it most. This meant challenging the status quo and fixing everything that was wrong with the ER experience. Since then, we’ve expanded rapidly, with hospitals nationwide open 24/7, 365 days a year, and created a better emergency experience—not only for people and their pets, but also for everyone who works here—our VEGgies!

At VEG we find a way to say yes to the career you want in veterinary emergency medicine. This means transforming how ER works, from our open-concept hospitals, where you can handle emergency cases of every kind (even exotics!) to our immersive, customer-focused experience, which helps us give people and their pets the care they deserve.

This also means saying yes to creating the best experience possible for our VEGgies. Yes to working in an environment where you can find your place and feel valued for the amazing work you do. Yes to having unparalleled opportunities for learning and mentorship so you can grow where you want to go in your career. And yes to making an impact here in ways you never thought possible.

VEG is a 2025 and 2026 certified Great Place to Work®.

THE JOB

At VEG, we don’t just hire assistants—we grow future emergency rockstars. As an Emergency Veterinary Assistant, you’ll be in the heart of the action from day one, supporting your team, comforting pet parents, and learning the ropes in real time. You’ll be there for everything—the triage, the treatments, and the tail wags. You’re embarking on a path where careers start, grow, and thrive. Whether you’re on your way to becoming a credentialed technician or exploring where your passion can take you, we’ll say yes to your growth every step of the way.

WHAT YOU’LL DO*

• Be the first warm welcome and a steady support, triaging incoming patients and helping guide them toward care
• Assist with treatments, nursing care, and diagnostics, from bloodwork and imaging to catheter placement and oxygen support
• Work alongside our credentialed veterinary technicians and veterinarians to set up and monitor anesthesia and sedation cases
• Set up and manage IV fluids, blood transfusions, and medication administration
• Assist during every moment of care: outpatient or inpatient, exam room to treatment area
• Join patient rounds and stay close to the clinical picture to ensure continuity of care
• Learn how to perform CPR and become a RECOVER Certified Rescuer (training provided!)
• Grow into more advanced responsibilities, such as anesthesia support, ultrasound, and catheterization through guided training pathways

*As permitted by state law

WHAT YOU NEED

• High school diploma or equivalent required
• Enrolled in an AVMA-accredited veterinary technology program a plus
• 1+ years in a veterinary assistant role (emergency or specialty experience is a bonus!)
• Basic computer skills and an understanding of practice management software and electronic medical record keeping
• Excellent communicator when collaborating with pet parents and your team
• Fine motor skills for handling patients and medical equipment
• Ability to stand for prolonged hours, kneel, and work on the floor as well as ability to lift up to 25 kg on own and able to support up to 40 kg with assistance
• Must be willing to work in a noisy environment with strong or unpleasant odors
• Availability to work nights, weekends, and holidays on a rotating or as needed basis based on hospital demands
• Ability to work well in a fast-paced environment with people from all backgrounds and different personality types

WHO YOU ARE

• Empathetic, instinctively taking a people-centric approach, whether supporting your colleagues or making an effort to understand different perspectives
• Have a sense of humility; acknowledging mistakes, sharing credit with others, and lifting up your team’s’ accomplishments
• Feel a strong sense of ownership over your work, taking responsibility for outcomes and staying committed to achieving long-term, impactful results 
• Curious by nature; you ask insightful questions and continuously seek out opportunities to learn and grow your skills and knowledge

HOW WE INVEST IN YOU

• Competitive compensation, including base and 401K match ($20.00 - $43.00/hr)
• Comprehensive health and wellness benefits that start on day one, including medical, dental, and vision coverage, QPR training, and access to free therapy or counseling
• Depending on your role, you may be eligible for equity after one year of full time, active employment with VEG, so you can share in our growth and success
• A BIG focus on learning and growth, from VEG-created clinical and leadership programs to unlimited ER CE + travel stipend (no really!). Full-time credentialed VEGgies receive a $2,500/year travel stipend. Full-time uncredentialed VEGgies receive a $1,000/year travel stipend.
• Clinical student loan repayment so you don’t need to worry about your student debt
• Paid parental leave; up to 12 weeks at 100% of regular salary and inclusive fertility and family-building care for all types of families
• Flexible work schedules to support your life outside of work
• Generous employee referral program, so our awesome people can bring in more awesome people
• And the little (big) things, like comfy scrubs, cool VEG swag, and food in the fridge for when you’re hungry

DEI

At VEG, diversity is not just a word—it's a strength that fuels innovation and kindness. Our mission is “Helping people and their pets when they need it most.” And we do that better when our VEGgies (employees) feel valued, respected, and empowered to bring their authentic selves to work. That's why we're devoted to creating an environment that reflects the diverse communities we serve—where different perspectives are not only welcomed but celebrated.

We are focused on providing equitable opportunities for growth, promoting inclusive decision-making, and ensuring that everyone's perspective is considered. Saying yes to VEG means helping us build a culture where your unique experiences and background contribute to a shared vision: being the world’s veterinary emergency company.

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.

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.

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

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.

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)

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

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

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

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

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

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

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

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

Senior Machine Learning Engineer - Model Evaluations, Public Sector

The Public Sector ML team at Scale deploys advanced AI systems—including LLMs, agentic models, and multimodal pipelines—into mission-critical government environments. We build evaluation frameworks that ensure these models operate reliably, safely, and effectively under real-world constraints. As an ML Engineer, you will design, implement, and scale automated evaluation pipelines that help customers trust and operationalize advanced AI systems across defense, intelligence, and federal missions.

You will:

• Develop and maintain automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM-judge–based evaluations.
• Design test datasets and benchmarks to measure generalization, bias, explainability, and failure modes.
• Build evaluation frameworks for LLM agents, including infrastructure for scenario-based and environment-based testing.
• Conduct comparative analyses of model architectures, training procedures, and evaluation outcomes.
• Implement tools for continuous monitoring, regression testing, and quality assurance for ML systems.
• Design and execute stress tests and red-teaming workflows to uncover vulnerabilities and edge cases.
• Collaborate with operations teams and subject matter experts to produce high-quality evaluation datasets.
• 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:

• Experience in computer vision, deep learning, reinforcement learning, or NLP in production settings.
• Strong programming skills in Python; experience with TensorFlow or PyTorch.
• Background in algorithms, data structures, and object-oriented programming.
• Experience with LLM pipelines, simulation environments, or automated evaluation systems.
• Ability to convert research insights into measurable evaluation criteria.

Nice to haves:

• Graduate degree in CS, ML, or AI.
• Cloud experience (AWS, GCP) and model deployment experience.
• Experience with LLM evaluation, CV robustness, or RL validation.
• Knowledge of interpretability, adversarial robustness, or AI safety frameworks.
• Familiarity with ML evaluation frameworks and agentic model design.
• Experience in regulated, classified, or mission-critical ML domains.

Scale AI is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead (TL) for our next generation of deep research agents for the Enterprise. This high-impact role will drive the technical direction and oversight for Deep Research Agent Development, translating cutting-edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable, and high-impact production systems that enhance enterprise operations, analytics, and core efficiency.

The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus.

Responsibilities

Technical Leadership & Vision

• Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI’s overall AI strategy and business goals.
• Drive Breakthrough Research to Production: Lead the end-to-end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities.
• Core Agent Capabilities Development:
• Advanced Knowledge Retrieval: Architect and implement state-of-the-art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises.
• Data analysis: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas.
• Multimodal Intelligence: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent's knowledge base.
• Architecture & Design: Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale.
• Technical Excellence: Serve as the technical authority for the team, leading design reviews, defining ML engineering best practices, and ensuring code quality, security, and operational excellence for all agent systems.

Team Leadership & Mentorship

• Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth.
• Recruiting & Growth: Partner with management to hire, onboard, and grow top-tier talent, helping to shape the long-term structure and capabilities of the team.
• Cross-Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high-level business problems into concrete, executable technical specifications and impactful agent solutions.

Basic Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience.
• 8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment.
• 2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain.
• Deep expertise in Generative AI and Large Language Models (LLMs).
• Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale.
• Experience with large-scale distributed systems and real-time data processing.

Preferred Qualifications

• Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field.
• Demonstrated experience designing and deploying production-grade Text-to-SQL systems, including handling complex schema linking and query optimization.
• Practical experience with Multimodal AI, specifically integrating OCR and vision-language models for document intelligence and structured data extraction from images/forms.
• Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems.
• Experience with vector databases and advanced retrieval techniques.
• A track record of publishing research papers in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD).
• Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers.
• Experience driving cross-team technical initiatives that have delivered significant business impact.

Job Description: Distinguished Engineer, Enterprise AI 

About Scale AI

Our mission is to develop reliable AI systems for the world's most important decisions. The Enterprise AI business delivers performant, reliable, and production-grade AI applications to enterprises across all industries by providing Generative AI expertise and infrastructure.

The Role

We’re seeking a Distinguished Engineer - a hands-on technical leader operating at the VP level - to shape the vision and technical roadmap of our core AI/ML infrastructure that powers enterprise AI applications. Reporting directly to the SVP of Engineering, Enterprise AI, this individual will drive long-term technical direction for our Scale GenerativeAI Platform (SGP), influence architectural decisions across the company, and partner closely with engineering and product leaders to bring advanced AI capabilities to enterprise customers.

You’ll serve as a cross-organizational thought leader - setting standards for technical excellence, mentoring senior engineers, and ensuring our systems and models meet the demands of global-scale deployment. This is a rare opportunity to influence both foundational AI infrastructure and the enterprise AI applications built on top of it.

Responsibilities

• Define and drive the technical strategy for Scale’s AI/ML infrastructure and SGP platform, balancing short and long-term investments.
• Partner with senior engineering and product leadership to ensure scalable, secure, and performant enterprise AI systems.
• Lead architecture and design reviews across multiple teams, ensuring technical consistency and innovation.
• Serve as a trusted advisor and mentor to principal engineers and technical leads across the organization.
• Evaluate and integrate emerging technologies in AI, distributed systems, and data infrastructure to keep Scale at the frontier of innovation.
• Represent Scale externally in the AI community - through speaking engagements, partnerships, and thought leadership.
• Drive technical execution and accountability for critical cross-functional initiatives that advance Scale’s enterprise AI capabilities.

Qualifications

• 15+ years of experience as a technical software engineering leader.
• Proven record of technical leadership at AI-native companies, hyperscalers, or equivalent high-scale environments.
• Deep technical expertise in AI/ML infrastructure, knowledge of ML models/algorithm design/implementation and their application to real-world problems; experience with GenAI preferred.
• Demonstrated success in setting technical vision and leading cross-organizational initiatives with measurable business impact.
• Experience influencing and mentoring engineering teams in complex, matrixed environments.
• Ability to communicate and collaborate effectively to create a shared sense of vision or purpose cross-team and cross-functionality.
• Advanced degree in Computer Science, Engineering, or related field preferred but not required.

Culture & Impact

At Scale, we believe that AI should amplify human potential - and our engineering culture reflects that belief. Our teams operate at the intersection of innovation, rigor, and impact, solving some of the hardest problems in AI infrastructure and deployment.

The Distinguished Engineer will play a key role in shaping how AI systems are built, deployed, and governed within enterprise environments. This role represents the highest bar of technical excellence at Scale - a trusted voice in setting direction, enabling innovation, and ensuring that our technology scales responsibly and effectively to meet the evolving needs of our customers.

You’ll have the opportunity to influence company-wide strategy, contribute to industry-leading work in generative AI infrastructure, and mentor the next generation of engineering talent pushing the boundaries of what’s possible with AI.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities.

About the General Agents Team

The General Agents team, part of Scale’s Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers.

About the Role

As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you’ll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle—from model and system design to evaluation, deployment, and iteration—bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments.

You will:

• Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases.
• Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints.
• Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings.
• Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs.
• Productionize frontier agent techniques (e.g., planning, multi-step reasoning and tool-use, multi-agent patterns) into maintainable, observable systems.
• Own deployment, monitoring, and iteration of agent systems, including failure analysis and continuous improvement based on real-world usage.
• Contribute to technical direction and architectural decisions for general agent development best practices and methods, with increasing scope and leadership at the Staff level.

Ideally you’d have:

• 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases.
• Strong engineering fundamentals, supported by a Bachelor’s and/or Master’s degree in Computer Science, Machine Learning, AI, or equivalent practical experience.
• Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic system design.
• Proven proficiency in Python, including writing production-quality, testable, and maintainable code.
• Experience building systems that integrate models with external tools, APIs, databases, and services.
• Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints.
• Strong communication skills and comfort working in customer-facing or cross-functional environments.

Nice-to-haves:

• Hands-on experience building AI agents using modern generative AI stacks (OpenAI APIs, commercial or open-source LLMs).
• Experience with agent frameworks, orchestration layers, or workflow systems (e.g., tool calling, planners, multi-agent setups).
• Familiarity with evaluation, monitoring, and observability for LLM-powered systems in production.
• Experience deploying ML systems in cloud environments and operating them at scale.
• Experience fine-tuning or adapting foundation models using methods like supervised fine-tuning (SFT), reinforcement learning with verifiable rewards (RLVR), and low-rank adaptation (LoRA) to improve agent performance on domain-specific tasks.
• Interest in shaping the future of general-purpose enterprise agents and their real-world impact.

Scale Labs, Research Scientist — Agent Robustness

As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities.

Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision.

As a Research Scientist working on Agent Robustness you will work on the fundamental challenges of building AI agents that are safe and aligned with humans. For example, you might: 

• Research the science of AI agent capabilities with a focus on how they relate to safety, risk factors, and methodologies for benchmarking them;
• Design and build harnesses to test AI agents’ tendency to take harmful actions when pressured to do so by users or tricked into doing so by elements of their environment;
• Design and build exploits and mitigations for new and unique failure modes that arise as AI agents gain affordances like coding, web browsing, and computer use;
• Characterize and design mitigations for potential failure modes or broader risks of systems involving multiple interacting AI agents.

Ideally you’d have:

• Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance.
• Practical experience conducting technical research collaboratively. You should be comfortable building and leveraging agent scaffolding, designing evaluation harnesses, and quickly turning new ideas from the research literature into working prototypes.
• Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches.
• A track record of published research in machine learning, particularly in generative AI.
• At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development.
• Strong written and verbal communication skills to operate in a cross-functional team.

Nice to have:

• Hands-on experience with agent evaluation frameworks such as SWE-bench, WebArena, OSWorld, Inspect, or similar tools.
• Experience with red-teaming, prompt injection, or adversarial testing of AI systems.

Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture. We will not ask any LeetCode-style questions. If you’re excited about advancing AI safety and contributing to our mission, we encourage you to apply, even if your experience doesn’t perfectly align with every requirement.

Scale is looking for a Quality Lead to ensure top-tier data quality across our Generative AI programs. In this role, you will partner directly with Scale’s Delivery teams to ensure that the Quality Team’s core operation runs smoothly and that only high-quality data is delivered to our customers.

You will:

• Lead and develop teams of quality control auditors.
• Partner with delivery teams to interpret and improve customer requirements.
• Oversee day-to-day operations, including workload allocation and reporting insights.
• Establish and uphold scalable best practices.
• Drive initiatives that improve quality, efficiency, and customer satisfaction.

Ideally you'd have:

• A Bachelor’s degree in Computer Science, Engineering, Operations, or a related field.
• 2+ years improving operational/technical processes.
• Strong analytical and problem-solving skills (particularly in SQL and Google Sheets / Excel) with attention to detail.
• Experience building systems and processes
• A hands-on background in product management, software development, or top-tier management consulting.
• Proven experience taking initiative in cross-functional technical environments.

Nice to haves:

• Master’s degree in Computer Science, Engineering, Operations, or a related field.
• A hands-on background in quality assurance
• Experience in AI/ML services.
• Experience in a fast-growing, less-structured startup environment.
• Experience building teams from the ground up.

Tasks & Responsibilities:

• Develop and optimize passenger rail service concepts, operating plans, and detailed timetables, with a focus on North American intercity, commuter and regional rail systems.
• Apply experience gained at Deutsche Bahn in Germany to introduce European best practices for service design, scheduling, and operations planning.
• Lead the design and evaluation of theoretical and operational timetables, including capacity and head-way analysis, rolling stock utilization, and infrastructure interface considerations.
• Collaborate with internal and external partners—including railroad operators, infrastructure owners, and planning agencies—to ensure integrated and feasible service plans.
• Mentor and review the work of consultants and analysts supporting service planning projects to foster technical development.
• Support workshops and presentations to communicate complex operational concepts to clients and stakeholders.
• Leverage DB’s international expertise and tools, coordinating with colleagues in Germany to transfer knowledge and adapt methodologies for North American applications.

Requirements:

• Bachelor’s degree in Engineering, Transportation, Business Administration or similar (M.Sc.).
• Minimum of 10 years of experience in railway operations planning, timetable development, or service design, including direct experience working with Deutsche Bahn (DB) in Germany.
• Deep understanding of European railway scheduling methodologies, capacity planning, and coordination between infrastructure managers and train operators.
• Demonstrated proficiency with rail service planning tools, such as Viriato or similar timetable development or dynamic simulation software.
• Outstanding analytical, conceptual, and problem-solving skills and an innovative and entrepreneurial mindset; ability to work independently; aptitude to quickly grasp new concepts and effectively produce results.
• Passion for tackling complex challenges in mobility and railway transportation sector.
• Strong written and verbal presentation and communication skills.
• Ability to work effectively in a fast-paced, team-oriented environment with strong interpersonal skills.
• Experience in using MS-Office (Excel, PowerPoint, Word) for performing analyses and developing quantitative models.
• Occasional domestic / international travel may be required.

Working Conditions and Travel:

You may work from a well-lighted, heated and air-conditioned indoor office setting with adequate ventilation. Occasional overnight travel by land and air.

Physical Requirements, with or without a reasonable accommodation:

• Ability to work at a computer workstation for periods up to 4 hours at a time
• Ability to speak on the telephone for a total of up to 3 hours per day
• Ability to sit for up to 3 hours without breaks at meetings
• Ability to walk and stand for up to 4 hours without breaks at program site visits and meetings

We offer an annual gross salary between $161,000 and $188,000 + bonus (USD) for full-time employment, depending on professional qualifications and experience.

About the role

As an Analytics Data Engineering Manager focused on Product, you will build and lead the analytics engineering team responsible for creating the data foundations that enable data-driven decision making across Anthropic’s Product organization.  You will oversee the development of scalable data solutions for Product pillars – including Consumer, Claude Code, Enterprise & Verticals, Growth, Platform Product – managing a team of analytics engineers and working closely with stakeholders across Data Science, Product, and Engineering to ensure teams have access to reliable, accurate metrics that can scale with our company’s growth.

In this role, you will balance hands-on technical leadership with people management, setting the strategic vision for product data foundations while developing and mentoring team members.  You will partner closely with Product Data Scientists, Product Managers, and Product Engineers to understand how users interact with Claude, how to measure product quality and growth, and how to transform raw event logs into insightful data marts that power product decisions.

Responsibilities:

• Build and scale the Product Analytics Engineering team, including hiring and mentoring a team of high-performing analytics engineers embedded with Product pillars

• Define and execute the strategic roadmap for product data foundations and analytics capabilities

• Oversee the design and implementation of scalable data pipelines, data models, and analytics solutions that transform raw product event logs into canonical datasets and insightful data marts

• Partner with Data Science, Product, and Engineering leadership to understand data needs and translate them into technical requirements

• Establish and maintain high data integrity standards, SLAs, alerting, and best practices for the team

• Drive the development of foundational data products, dashboards, and tools to enable self-serve analytics; partner with the Data Science team to build innovative data tools using Claude to scale data-driven decisions across Product teams

• Foster a culture of technical excellence, continuous learning, and data-driven decision making

• Serve as a technical thought leader for data modeling, ETL processes, and product analytics infrastructure

You might be a good fit if you have:

• 5+ years of experience managing analytics engineering or data engineering teams, preferably in a scaling startup environment

• 8+ years of total experience in analytics engineering, data engineering, or similar data-focused roles

• Deep expertise in data modeling, ETL pipelines, and data warehouse architecture

• Strong technical foundation with expertise in SQL, Python, dbt, and modern data stack tools

• Proven track record of building and leading high-performing teams

• Experience partnering with Data Science, Product, and Engineering leaders to deliver key product metrics and user behavior insights

• Demonstrated ability to balance strategic thinking with hands-on technical leadership

• Strong communication skills with the ability to translate complex technical concepts for diverse audiences

• Experience scaling analytics functions from early stage to maturity in rapidly changing environments

• Track record of establishing data governance, quality standards, and best practices

• A bias for action and urgency, not letting perfect be the enemy of the effective

• A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end

• A passion for Anthropic’s mission of building helpful, honest, and harmless AI

ABOUT VEG

In 2014, VEG was born with a mission to help people and their pets when they need it most. This meant challenging the status quo and fixing everything that was wrong with the ER experience. Since then, we’ve expanded rapidly, with hospitals nationwide open 24/7, 365 days a year, and created a better emergency experience—not only for people and their pets, but also for everyone who works here—our VEGgies!

At VEG we find a way to say yes to the career you want in veterinary emergency medicine. This means transforming how ER works, from our open-concept hospitals, where you can handle emergency cases of every kind (even exotics!) to our immersive, customer-focused experience, which helps us give people and their pets the care they deserve.

This also means saying yes to creating the greatest experience possible for our VEGgies. Yes to working in an environment where you can find your place and feel valued for the amazing work you do. Yes to having unparalleled opportunities for learning and mentorship so you can grow where you want to go in your career. And yes to making an impact here in ways you never thought possible.

VEG is a 2025 and 2026 certified Great Place to Work®.

THE JOB

At VEG, we don’t just hire assistants—we grow future emergency rockstars. As a per diem Emergency Veterinary Assistant, you’ll be in the heart of the action from day one, supporting your team, comforting pet parents, and learning the ropes in real time. You’ll be there for everything—the triage, the treatments, and the tail wags. You’re embarking on a path where careers start, grow, and thrive. Whether you’re on your way to becoming a credentialed technician or exploring where your passion can take you, we’ll say yes to your growth every step of the way.

WHAT YOU’LL DO*

• Be the first warm welcome and a steady support, triaging incoming patients and helping guide them toward care
• Assist with treatments, nursing care, and diagnostics, from bloodwork and imaging to catheter placement and oxygen support
• Work alongside our credentialed veterinary technicians and veterinarians to set up and monitor anesthesia and sedation cases
• Set up and manage IV fluids, blood transfusions, and medication administration
• Assist during every moment of care: outpatient or inpatient, exam room to treatment area.
• Join patient rounds and stay close to the clinical picture to ensure continuity of care.
• Learn how to perform CPR and become a RECOVER Certified Rescuer (training provided!)
• Grow into more advanced responsibilities, such as anesthesia support, ultrasound, and catheterization through guided training pathways

*As permitted by state law

WHAT YOU NEED

• High school diploma or equivalent required
• Enrolled in an AVMA-accredited veterinary technology program a plus
• 1+ years in a veterinary assistant role (emergency or specialty experience is a bonus!)
• Basic computer skills and an understanding of practice management software and electronic medical record keeping
• Excellent communicator when collaborating with pet parents and your team
• Fine motor skills for handling patients and medical equipment
• Ability to stand for prolonged hours, kneel, and work on the floor as well as ability to lift up to 25 kg on own and able to support up to 40 kg with assistance
• Must be willing to work in a noisy environment with strong or unpleasant odors.
• Availability to work nights, weekends, and holidays on a rotating or as needed basis based on hospital needs
• Work well in a fast-paced environment with people from all backgrounds and different personality types

WHO YOU ARE

• Empathetic, instinctively taking a people-centric approach, whether supporting your colleagues or making an effort to understand different perspectives
• Have a sense of humility; acknowledging mistakes, sharing credit with others, and lifting up your team’s’ accomplishments
• Feel a strong sense of ownership over your work, taking responsibility for outcomes and staying committed to achieving long-term, impactful results 
• Curious by nature; you ask insightful questions and continuously seek out opportunities to learn and grow your skills and knowledge

HOW WE INVEST IN YOU

• Competitive compensation ($18.50 - $39.00/hr)
• Flexible work schedules to support your life outside of work
• Generous employee referral program, so our awesome people can bring in more awesome people
• And the little (big) things, like comfy scrubs, cool VEG swag, food in the fridge for when you’re hungry

DEI

At VEG, diversity is not just a word—it's a strength that fuels innovation and kindness. Our mission is “Helping people and their pets when they need it most.” And we do that better when our VEGgies (employees) feel valued, respected, and empowered to bring their authentic selves to work. That's why we're devoted to creating an environment that reflects the diverse communities we serve—where different perspectives are not only welcomed but celebrated.

We are focused on providing equitable opportunities for growth, promoting inclusive decision-making, and ensuring that everyone's perspective is considered. Saying yes to VEG means helping us build a culture where your unique experiences and background contribute to a shared vision: being the world’s veterinary emergency company.

Start Date: ASAP

About CreativeX

CreativeX is B2B SaaS technology platform that helps global marketing teams make smarter creative decisions and elevate creative expression through the clarity of data. Our technology powers creative decision-making at some of the biggest brands in the world, including Google, Unilever, Pepsi, Bayer, Mondelez, Heineken, and more.

We use computer vision and other machine learning techniques to extract creative data from our client’s digital advertising copy and transform those previously dark signals into a standardised data model at industrial scale. This creates a new, unique and powerful first party data set that represents the last and most impactful untapped reservoir of advertising performance.

That’s because multiple studies have shown that the “Creative” itself is responsible for half of sales lift online, higher than reach, targeting, brand, & recency combined. But creative impact has always been the least analysed and least understood component of a complex set of marketing variables.

This is the problem CreativeX is focussed on solving. We’re an end-to-end solution to ingest, process, and analyse content at scale. We help brands isolate creative elements so they can be analysed against downstream ad impact metrics, from clickthrough rates to brand lift.

Our objective is to help marketing organisations power every creative decision with data.

About the role 

Join our Client Success team as an Enterprise Client Success Manager (CSM), where you'll be pivotal in building lasting client partnerships, ensuring client satisfaction, and driving revenue retention.

You'll be responsible for

• Client Relationship Management
  • Act as the primary point of contact for day-to-day client interactions, collaborating with Global Client Partners across your portfolio.
  • Build and maintain relationships with director and VP-level marketing stakeholders within the client and their agencies/partners, anticipating needs and driving satisfaction, loyalty, and renewals.
• Driving Product Adoption & Value
  • Lead onboarding, training, and workshops to maximize product value for clients and their partners.
  • Serve as a product expert and first-line contact for non-support-related inquiries.
• Strategic Consulting
  • Provide recommendations to align client and company KPIs, solving challenges to enhance outcomes.
• Retention & Growth
  • Ensure client satisfaction and product adoption to maintain a Gross Revenue Retention (GRR) target of >95%.
  • Monitor key metrics, report to senior management, and conduct regular client reviews.
• Client Advocacy
  • Collaborate with sales, marketing, operations, product, and engineering to deliver client solutions and relay feedback to align company priorities with client needs.
  • Champion customer-centricity and stay informed on industry trends.

Who you are

• Data-driven problem solver
• Strong communicator and especially confident presenter with executive audiences
• Highly adaptable, detail-oriented, and resilient in high-pressure environments
• Strategic thinker who works both independently and collaboratively
• Exceptional at managing complex projects in a cross-functional setting
• Proficient Google Sheets/Excel and analytics tools
• Committed to fostering a positive company culture

Preferred Qualifications / Experience

• 4+ years of experience in an enterprise customer success / account management role
• Previous experience working in or with marketing, branding or advertising teams
• Previous experience at a SaaS company
• Previous experience at a start-up

The preferred qualifications are not dealbreakers! At CreativeX we encourage applicants of all backgrounds and identities to apply for roles that align with their own interests and career trajectory. If you see yourself in this role, we would love to see your application!

Total comp: $90k–$100k base with a 15% performance bonus (USD)

What we offer:

🍎  Fully paid medical, dental, and vision (US) and Private medical insurance (UK)

✈️  Generous time off + bank holidays

📚  Education budget to be used for individual learning experiences or grouped with your team for joint learning

🧘  Annual subscription to Calm and Headspace for your mental wellbeing

🎟  Monthly coaching to talk to a trained professional about career goals, relationships, and personal development

💵  Stock options as we believe that everyone should have a stake in the business

🍼  3-month full pay parenting leave for all employees who have been with the company for one (1) year

🪴 Employee contributions to a 401(k) once they have completed their eligibility period 

CreativeX provides equal employment opportunity for all applicants and employees.

WHO WE ARE  

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI.

Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world.  To learn more, go to www.zetaglobal.com.

THE ROLE

Senior Software Engineer wanted in New York, NY to Design, develop and own the distributed systems CRM platform. Collaborate with fellow Engineers and Product Managers to develop a roadmap and subsequent projects to build the next-generation comprehensive, multichannel marketing solution that unifies and unlocks data across digital touchpoints, driving return on marketing investment. Work on the design, development, and delivery of the company’s complex marketing technology platform involving both database and interactive technologies.

• Understand business requirements, designing, and implementing core components for a real-world marketing automation platform.
• Design, implement and maintain application code to satisfy product requirements.
• Proactively identify and address project risks stemming from product gaps.
• Ensure timely delivery of high-quality product updates and features through rigorous code reviews and unit tests.
• Research, propose and implement cost-effective solutions to address business challenges.
• Create robust functional and technical documentation about product features and platform integrations.
• Verify that client solutions are implemented in the most optimal and compliant manner and recommend changes for improvements.
• Ensure client team communication is handled promptly.
• Use experience developing scalable, robust software platforms using Java, Ruby, Python, J2EE technology or equivalent OO paradigm.
• Use knowledge of ETL, Business Intelligence, and Campaign Management tools and applications.
• Use experience in utilizing SOAP and RESTful APIs, MySQL, and other databases.
• Use Kafka, Elastic Search, NoSQL databases such as Aerospike, Thrift, CI, and AWS.
• Use experience working on data/ETL pipelines

Option to telecommute.

Bachelor’s degree in Electrical and Computer Engineering or Computer Science plus 5 years of experience required in the job offered or similar occupation.

Salary expectations: $189,592/yr

Send resume to: S Arvelo, Zeta Global Corp., 3 Park Avenue, 33rd Floor, New York, NY 10016.

BENEFITS & PERKS 

• Unlimited PTO 
• Excellent medical, dental, and vision coverage 
• Employee Equity and Stock Purchase Plan 
• Employee Discounts, Virtual Wellness Classes, and Pet Insurance 

And more!!  

PEOPLE & CULTURE AT ZETA 

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS! 

https://zetaglobal.com/press/?cat=press-releases 

Do you want to be a part of the clean energy movement? Are you passionate about improving our environment for this generation and those to follow? Are you ready to take on new challenges and collaborate with a future-focused team leading the way into new markets? Join Nexamp! 

This is where you can learn from industry leaders and become one yourself. It's fast-paced, mission-based work that challenges the status quo. Be on the team that's changing the world. 

What we’re looking for: 

Nexamp is looking to hire an Asset Management Accounting Manager to join it's Asset Management team. You will be responsible for driving month end functions working with the project accounting team and leading the Company’s financial reporting to investors and lenders under US GAAP and IFRS. The individual in this position will have the opportunity for future growth and development amongst a group of hard working and fun professionals.  

We are accepting candidates from our hub offices in Boston, MA, Chicago, IL or New York, NY, where you will be hybrid. You will report to the Senior Director, Accounting - Asset Management.

What you’ll do:  

• Drive the monthly, quarterly, and annual close of the corporate and project companies, which includes (but is not limited to) approving journal entries, maintaining monthly reconciliations, preparing financials (balance sheet, P&L, equity statement and cash flow statement), and performing quarterly and annual covenant calculations.  
• Manage a team of staff and senior accountants including hiring, onboarding, cross-training, overseeing day to day activities, and evaluating performances.  
• Assist in creating annual budgets and maintain budget-to-actuals for all projects on a monthly and quarterly basis.  
• Lead projects for ERP improvements working with third party consultants and other departments to scale processes and making them more efficient. 
• Design and implement processes for new business operations taking into consideration the relevant accounting principles and guidance.  
• Work closely with Asset Management department by supervising invoice creation, deposits, and collections and reporting KPIs to management.  
• Work with audit seniors, manager, and partner for project and consolidated audits by completing PBC lists, providing explanations and supporting documentation for audit testing throughout the G/L, and assisting with preparation of the financials and footnotes.  
• Prepare ad hoc reports for management – including various department requests. 

What you’ll bring: 

• 3-4 years of Public Accounting or 5-6 private experience preferred.  
• Solid understanding of generally accepted accounting principles and the ability to do research to find solutions for accounting issues.  
• Ability to communicate effectively with the accounting team, executive management and all departments across the organization.  
• Experience with accounting systems; NetSuite strongly preferred.   
• Strict attention to detail, ability to work independently and efficiently.  
• Ability to think critically, be proactive, and problem solve.  
• Strong Microsoft Office and overall computer skills. 
• Commitment to Nexamp's mission and have a passion for solving tomorrow's climate crisis today.
• Demonstrated experience in effectively communicating information, ideas, and perspectives with people inside and beyond your organization.   
• Experience in showcasing initiative to make improvements to current work, processes, products, and services across the organization. We value accountability and an ownership mentality. 
• Ability to ask appropriate questions, analyze data, identify the root causes of problems, and present creative solutions. 
• Expertise in building strong internal and external relationships with customers and stakeholders, instilling trust and loyalty across the industry. 
• Eagerness to develop a fundamental understanding of how Nexamp operates and then apply that knowledge effectively to inform business decisions.  

If you don’t meet 100% of the above qualifications, but see yourself contributing, please apply.

At Nexamp, our mission is to build the future of energy so it is clean, simple, and accessible for all. We are committed to providing a work environment free from discrimination. We are proud to be an equal opportunity employer. We do not discriminate against applicants on the basis of race, ethnicity, religion, sex, gender, sexual orientation, gender identity, disability status, veteran status, or any other basis protected by law. By encouraging a culture where ideas and decisions come from all people, we believe it will help us grow, innovate, and be a part of environmental and social change.

You’ll love working here because:  

Not only will you get to take part in meaningful work and have the chance to change the world alongside innovative, dedicated, and motivated peers, but you will also have access to all the benefits that Nexamp offers! This includes our competitive compensation package; a 401(k) employer-match; health, dental, and vision insurance starting day one; flexible paid time off and holiday PTO; commuter benefits, and cell phone reimbursement. We have headquarters in Boston, MA and Chicago, IL, in addition to growing offices nationwide. We provide healthy snacks, coffee, service days and other volunteer opportunities, company outings, and more!  

Compensation:  

The reasonably estimated salary for this role at Nexamp ranges from $123,000 - $139,000. In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance (for example, annual bonus programs based on individual and company performance, non-annual sales incentive plans, or other non-annual incentive plans). Additionally, you may be eligible to participate in the Company’s stock option plan. Actual base salary may vary based upon, but is not limited to, skills and qualifications, internal equity, performance, and geographic location.

Nexamp's People team manages all aspects of recruitment and hiring within our organization. We want to inform third-party recruiters, staffing firms, and related agencies that Nexamp does not accept unsolicited resumes. Resumes will only be considered from these entities if a signed agreement is in place and the People team explicitly authorizes external recruiting assistance for a specific position. Any unsolicited resumes received will be deemed the property of Nexamp. We want to emphasize that Nexamp is not liable for any fees associated with unsolicited resumes.