You'll be responsible for making sure work actually gets implemented, people stay on track, standards are enforced, and issues don't get buried in Slack, vague updates, or excuses. We want someone who can cut the noise, manage tightly, create clarity, and keep a remote team moving fast.

Key responsibilities include:

• Managing the day-to-day execution of the Customer Success department
• Building and enforcing clear operating rhythms for a remote-first team
• Staying on top of team members constantly and ensuring tasks move forward
• Owning onboarding process quality and implementation
• Enforcing SOPs, scripts, QA standards, and escalation rules
• Tracking execution against backlog items and making sure projects actually get finished
• Identifying blockers, weak performers, process drift, and communication breakdowns early
• Improving visibility across team activity, issues, and accountability
• Running performance management for Customer Success and onboarding team members
• Tightening communication systems so work is not trapped in DMs, vague updates, or duplicated channels
• Making sure sales-to-onboarding-to-Customer Success handoffs are clear and consistent
• Creating a culture of truth, speed, ownership, and directness

This is a fast-moving and execution-heavy role, with a high level of accountability and visibility. You'll be expected to inspect details, not just review summaries, and stay close to managers, team members, customer journey issues, and open implementation work.

Success in this role means that team members are managed tightly and consistently, onboarding and Customer Success processes are clearly defined and actually followed, scripts, QA, and operational standards are enforced, remote team output is visible and measurable, problems are surfaced early instead of being hidden, backlog priorities get implemented instead of endlessly discussed, clients get a more consistent experience with less confusion and fewer preventable issues.

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$162K – $240K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

OpenAI’s Ecosystem and Partnerships for Industrial Compute team works across partner strategy, capacity planning, deal structuring and execution, and cross-functional coordination for the infrastructure that powers OpenAI’s research, products, and services. The team is senior, bridges internal and external partners, owns commercial relationships and context from capacity ideation through delivery, and helps OpenAI understand the compute strategy and tradeoffs it is committing to.

About the Role

To make that model scale, we need strong program managers who can bring structure, follow-through, and visibility to the work. This role helps the team run well day-to-day: managing trackers, documentation, handoffs, operating cadences, and cross-functional coordination so that work accelerates, context is preserved and shared, and leadership has a clear view of priorities, risks, and decisions.

This is a leverage role. Success is helping convert a high-context partnership environment into a durable operating model with clear intake paths, defined ownership and handoffs, strong documentation, and live visibility from early capacity discussions through contract signature to operations delivery.

Responsibilities

• Running and improving the team’s operating rhythm across intake, prioritization, execution tracking, escalations, signature readiness, and post-sign handoff.

• Building and maintaining the team’s core documentation, including pipeline and capacity views, deal trackers, decision logs, partner playbooks, project status updates, and handoff materials across top partners and top projects.

• Driving and coordinating interfaces and handoffs across Engineering, Delivery and Operations, Finance, Security, Legal, and other stakeholders so deals and initiatives are connected and aligned.

• Supporting and running special projects that improve execution quality over time, including, key terms tracking, workflow controls, partner tiering, scalable reporting infrastructure, and public-company readiness workstreams.

• Deal support, including: (i) help run large, complex deals as projects by breaking them into clear workstreams, tracking dependencies, and ensuring teams stay aligned and on track; (ii) own smaller and higher-volume deals; and (iii) coordinate RFI / RFP and diligence workflows, ensuring that inputs from technical, legal, finance, and operations stakeholders are captured and sequenced cleanly.

• Keeping a live pulse on the team’s highest-priority opportunities and risks so leadership has early visibility.

Success here looks like contributing to an operating system with:

• real-time visibility into top partners, deals, and risks;

• clean execution hygiene across contracting and cross-functional workflows;

• clear interfaces and handoffs between teams (BD, Engineering, Delivery and Ops, Security, Finance, Legal);

• operational leverage, so that the team can scale its impact without scaling linearly in headcount.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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This role is essential for keeping our most contended infrastructure teams shipping effectively while Research, Product, and Safety all depend on their output.

Responsibilities:

• Systems Integration & Coordination: Lead cross-functional initiatives for new infrastructure integration, establishing clear ownership, timelines, and communication channels between teams. Drive end-to-end planning for major infrastructure transitions including platform modernization and new tech adoption.

• Performance & Efficiency: Partner with engineering teams to identify optimisation opportunities, track performance metrics, and prioritise work that unlocks capacity gains. Coordinate across runtime and accelerator layers to ensure efficiency wins ship without compromising reliability.

• Launch Coordination: Drive end-to-end readiness for model and feature launches across multiple hardware platforms. Establish processes for cross-platform validation, manage launch timelines, and ensure smooth handoffs between runtime, accelerator, and downstream teams.

• Strategic Planning: Own and prioritise the inference deployment roadmap, working closely with engineering leadership to prioritise initiatives and manage dependencies. Provide visibility into upcoming changes and their organisational impact.

• Stakeholder Communication: Build strong relationships across research, engineering, and product teams to understand requirements and constraints. Translate technical complexities into clear updates for leadership and ensure alignment on priorities and timelines.

• Process Improvement: Identify inefficiencies in current workflows and drive systematic improvements. Establish metrics and dashboards to track infrastructure health, capacity utilisation, and deployment success rates.

You may be a good fit if you:

• Have several years of experience in technical program management, with proven success delivering complex infrastructure programs, preferably in ML/AI systems or large-scale distributed systems

• Have deep technical understanding of inference systems, compilers, or hardware accelerators to engage substantively with engineers and identify technical risks.

• Excel at creating structure and processes in ambiguous environments, bringing clarity to complex cross-team initiatives

• Have strong stakeholder management skills and can build trust with both technical and non-technical partners

• Are comfortable navigating competing priorities and using data to drive technical decisions

• Have experience with infrastructure scaling initiatives, hardware integrations, or deployment governance

• Thrive in fast-paced environments and can balance strategic planning with tactical execution

• Are passionate about AI infrastructure and understand the unique challenges of deploying and scaling large language models

Deadline to apply: None, applications will be received on a rolling basis.

The annual compensation range for this role is $290,000-$365,000 USD.

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You'll define the installation standards, configuration baselines, and deployment processes that the broader team executes against , from access control migrations and intercom replacements to AI analytics onboarding and new application integrations. You'll work across InfoSec, IT, Networking, and Identity Management to ensure every security application passes review, integrates with SSO, and is supported within Anthropic's infrastructure before going live. Your work will directly determine whether Anthropic's security technology stack scales reliably as the company grows from dozens of locations to a global enterprise footprint.

Responsibilities:

• Validate and deploy new and replacement security technology platforms including access control systems, intercom solutions, video management, visitor management, and AI/analytics tools across all Anthropic locations

• Build and maintain staging environments for pre-production testing and validation of all security applications, hardware, firmware, and system configurations

• Define installation standards, configuration baselines, licensing structures, update procedures, and maintenance requirements for every deployed security platform

• Deploy integrations between security applications, validating that platforms communicate and share data correctly before transitioning to production

• Support colleagues' security applications through InfoSec review processes, ensuring new tools meet Anthropic's information security and compliance requirements

• Coordinate SSO integration for newly deployed security applications with Identity Management and IT teams

• Transition applications requiring custom integration or data pipeline development to the IT Engineering team with documented technical requirements for roadmap inclusion

• Initiate onboarding of deployed hardware and systems into Anthropic's health monitoring platform to ensure operational visibility from day one

• Develop standardized deployment playbooks, checklists, configuration templates, and handoff documentation that enable repeatable installations across all current and future sites

• Evaluate security platforms for scalability, identifying capacity constraints, single points of failure, and architectural limitations before they impact operations at scale

• Coordinate with Networking, IT Infrastructure, and Facilities teams to ensure all infrastructure prerequisites (network, power, rack space, cloud resources) are met prior to deployment

• Execute structured handoffs to Project Management (for site programming), Break-Fix Support (for maintenance), and Access Control Administration (for ongoing system management), ensuring each team has the standards and documentation to execute independently

Requirements:

• 5+ years of hands-on experience deploying, validating, and managing enterprise physical security technology across a large or rapidly growing organization

• Experience working across InfoSec, IT, Networking, and Identity Management teams to onboard and integrate security applications into enterprise environments

• Strong technical communication skills, with the ability to define standards clearly enough that PMs, integrators, and service teams execute against them without ambiguity

• Experience with IP networking, VLANs, PoE, and infrastructure requirements for security devices

• Comfortable with 25% travel for site deployments, commissioning, and validation

Preferred Qualifications:

• Previous experience at a hyper-growth technology company or managing security technology programs for high-profile corporate environments

• Experience with Anthropic's specific technology stack: Genetec Security Center, Axis cameras, Wavelynx, Commend Symphony Cloud, Alcatraz.ai, Ambient.ai, SureView, Envoy

• Industry certifications: Genetec, Axis, CCNA, PSP, CPP, or PMP

• Experience with OSDP, modern credential technologies, and encryption protocols for physical security systems

• Familiarity with scripting or automation (Python, PowerShell) for configuration management and deployment automation

• Experience with health monitoring and observability platforms

• Experience with change management, configuration control, and version-controlled infrastructure documentation

Salary Range: $175,000-$220,000 USD

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This role sits at the intersection of growth marketing, UX design, product merchandising, experimentation, and marketing technology infrastructure. You will drive measurable revenue growth by improving how financial products are presented, how users move through our conversion funnels, and how marketing performance is tracked and optimized.

Key responsibilities include:

• Developing and leading the full-funnel Conversion Rate Optimization (CRO) roadmap aligned to both registration and device purchase growth targets
• Designing and executing A/B and multivariate testing strategies across marketing pages, signup flows, onboarding, and upsell experiences
• Building a structured experimentation backlog informed by analytics, user behavior insights, and growth hypotheses
• Prioritizing tests using impact/effort/confidence frameworks
• Documenting experiment learnings to inform product, marketing, and lifecycle strategy

You will own critical MarTech enablement, ensuring marketing teams have the correct tracking, tagging, QA processes, and experimentation frameworks to operate with speed and accuracy.

This role reports to the Director, Growth Marketing.

What you’ll bring to the team:

• 5 to 8 years in Conversion Rate Optimization (CRO), growth marketing, product growth or performance UX roles
• Experience in fintech, financial services, or regulated industries preferred
• Proven track record increasing conversion rates through experimentation and UX optimizations
• Hands-on experience managing MarTech stacks and marketing tracking implementations
• Experience collaborating with marketing, product, engineering, analytics and lifecycle teams

Preferred experience:

• Proven ownership of marketing tracking architecture to ensure accurate measurement across acquisition and conversion funnels
• Hands-on experience implementing and managing tagging frameworks using tools like GTM, Segment, or similar platforms
• Strong collaboration with analytics and engineering teams to define and maintain event tracking standards
• Track record of ensuring clean, reliable data collection across landing page interactions, plan selection, registration start, activation events, and downstream handoffs
• Led QA processes for marketing tracking implementations, validating tag performance across devices and environments
• Maintained clear documentation for event schemas, tracking plans, and tagging governance
• Supported campaign launches through tracking validation, troubleshooting, and debugging

Work perks at Greenlight:

• Medical, dental, vision, and HSA match
• Paid life insurance, AD&D, and disability benefits
• Traditional 401k with company match
• Unlimited PTO
• Paid company holidays and pop-up bonus holidays
• Professional development stipends
• Mental health resources
• 1:1 financial planners
• Fertility healthcare
• 100% paid parental and caregiving leave, plus cleaning service and meals during your leave
• Flexible WFH, both remote and in-office opportunities
• Fully stocked kitchen, catered lunches, and occasional in-office happy hours
• Employee resource groups

Additional Information:

Our stance on salaries: Greenlight provides a competitive compensation package with a market-based approach to pay and will vary depending on your location, experience and skill set. The total compensation package for this position will also include a discretionary performance bonus, equity rewards, medical benefits, 401K match, and more.

Greenlight conducts continuous compensation evaluations across departments and geographies to ensure we are keeping our pay current and competitive.

The estimated base pay range for this position in (NY, CA, WA): $105,000- 145,000

The estimated base pay range for this position in (CO): $105,000- 135,000

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Responsibilities:

• Systems Integration & Coordination: Lead cross-functional initiatives for new infrastructure integration, establishing clear ownership, timelines, and communication channels between teams. Drive end-to-end planning for major infrastructure transitions including platform modernization and new tech adoption.
• Performance & Efficiency: Partner with engineering teams to identify optimisation opportunities, track performance metrics, and prioritise work that unlocks capacity gains. Coordinate across runtime and accelerator layers to ensure efficiency wins ship without compromising reliability.
• Launch Coordination: Drive end-to-end readiness for model and feature launches across multiple hardware platforms. Establish processes for cross-platform validation, manage launch timelines, and ensure smooth handoffs between runtime, accelerator, and downstream teams.
• Strategic Planning: Own and prioritise the inference deployment roadmap, working closely with engineering leadership to prioritise initiatives and manage dependencies. Provide visibility into upcoming changes and their organisational impact.
• Stakeholder Communication: Build strong relationships across research, engineering, and product teams to understand requirements and constraints. Translate technical complexities into clear updates for leadership and ensure alignment on priorities and timelines.
• Process Improvement: Identify inefficiencies in current workflows and drive systematic improvements. Establish metrics and dashboards to track infrastructure health, capacity utilisation, and deployment success rates.

You may be a good fit if you:

• Have several years of experience in technical program management, with proven success delivering complex infrastructure programs, preferably in ML/AI systems or large-scale distributed systems
• Have deep technical understanding of inference systems, compilers, or hardware accelerators to engage substantively with engineers and identify technical risks.
• Excel at creating structure and processes in ambiguous environments, bringing clarity to complex cross-team initiatives
• Have strong stakeholder management skills and can build trust with both technical and non-technical partners
• Are comfortable navigating competing priorities and using data to drive technical decisions
• Have experience with infrastructure scaling initiatives, hardware integrations, or deployment governance
• Thrive in fast-paced environments and can balance strategic planning with tactical execution
• Are passionate about AI infrastructure and understand the unique challenges of deploying and scaling large language models

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

How we're different

We believe that the

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