This role combines direct execution with team leadership. You will personally lead high-impact initiatives while building the capabilities and standards of the team. We operate in a hybrid environment: commercial spacecraft development that demands speed and iteration, alongside US Government programs that require higher levels of rigor, traceability, and commitment discipline.

Role Responsibilities:

• Define and implement low-, medium-, and high-confidence scheduling frameworks and clearly establish when each is appropriate
• Improve schedule reliability without increasing unnecessary overhead
• Ensure commitments reflect technical, supply chain, and production realities
• Drive integrated master schedule maturity across all spacecraft and ground programs
• Establish simple, high-signal metrics that improve predictability and risk visibility

Commercial Speed & USG Rigor Balance:

• Right-size planning and baseline standards across commercial and US Government programs
• Ensure auditability and traceability where contractually required
• Maintain agility in fast-moving development efforts while strengthening discipline for externally committed programs
• Partner with Finance and Sales to align schedule realism with cost and contractual obligations

Roadmap & Portfolio Integration:

• Integrate technology roadmap, production ramp plans, and mission timelines into executable schedules
• Ensure roadmap shifts are systematically reflected in program baselines
• Enable scenario planning and cross-program trade studies
• Translate long-term strategy into clear near-term execution plans

Team Leadership & Capability Building:

• Lead and develop a small team across configuration management and program operations
• Personally drive critical cross-functional initiatives alongside the team
• Establish clear execution standards and accountability
• Serve as an integration point across Engineering, Production, Supply Chain, and Finance

Operational Scaling:

• Identify bottlenecks and sources of rework across programs and implement targeted, practical solutions
• Strengthen integration between configuration, cost, and schedule systems
• Introduce structure only where it reduces execution risk or improves delivery speed
• Support the transition from development-focused programs to higher-rate production

Requirements:

• 8–12+ years of experience in aerospace, defense, space, automotive, or other complex hardware environments
• Engineering background (systems, mechanical, electrical, aerospace, or similar)
• Deep experience building and managing integrated master schedules in technically complex programs
• Demonstrated ability to introduce structure in fast-paced, high-performance environments without creating unnecessary overhead
• Experience supporting commercial and/or US Government programs
• Strong understanding of configuration management and lifecycle integration
• Experience leading small, high-performing teams
• Proven ability to influence cross-functional stakeholders without direct authority
• Comfortable operating in ambiguity and bringing clarity to complex, cross-functional challenges
• Strong communication skills, with the ability to articulate tradeoffs, risk, and execution strategy clearly

What we offer:

All our positions offer a compensation package that includes equity and robust benefits. Base pay is just one component of Astranis’s total rewards package. Your compensation also includes a significant equity package via incentive stock options, high-quality company-subsidized healthcare, disability and life insurance, 401(k) retirement planning, flexible PTO, and free on-site catered meals.

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Key responsibilities include:

• Setting the executive vision, strategy, and multi-year roadmap for ZoomInfo's GTM Technology portfolio and revenue platform ecosystem.
• Serving as the executive product owner for end-to-end GTM technology platforms spanning CPQ, pricing, quoting, ordering, subscriptions, billing, and post-sales revenue systems.
• Translating company growth strategy and evolving GTM motions into scalable, enforceable platform capabilities that support a global enterprise.
• Leading and driving cross-functional executive alignment across Sales, Finance, RevOps, Product, and Enterprise Applications on priorities, investment decisions, and sequencing.
• Sponsor and guide major platform transformations, including the Revenue Cloud Advanced transition, ensuring long-term architectural integrity, scalability, and business continuity.
• Establishing and owning governance and decision frameworks that balance delivery velocity, compliance, and platform durability at scale.
• Defining and institutionalizing the GTM Tech product and platform operating model, including roadmap discipline, investment planning, and outcome-based accountability.
• Building, attracting, and developing a world-class organization of product leaders accountable for measurable business outcomes and platform excellence.

Requirements include:

• 15+ years of progressive product and technology leadership experience across enterprise SaaS and GTM systems environments, with significant time in executive or VP-level roles.
• Demonstrated executive ownership of large-scale Quote-to-Cash or Lead-to-Cash transformations, including CPQ migrations, platform consolidations, and enterprise system modernization at a global scale.
• Deep experience partnering with Engineering, Finance, and Enterprise Applications leadership to deliver scalable, durable revenue platform capabilities serving global organizations.
• Comprehensive understanding of B2B SaaS GTM motions, including new business, renewals, post-sales operations, customer success, and professional services systems.
• Proven ability to define multi-year roadmaps and align C-suite and cross-functional executive stakeholders across Sales, Finance, RevOps, and Customer organizations.
• Demonstrated success building and scaling high-performing global product and/or engineering organizations, including operating models, execution standards, and governance frameworks.
• Consistent track record of delivering measurable business impact at scale, including revenue capture, operational efficiency gains, and customer experience improvements.
• Deep familiarity with the Salesforce ecosystem, including CPQ and enterprise platform integrations.
• Proven experience leveraging AI and automation to transform GTM processes, operational efficiency, and customer outcomes.
• Exceptional systems thinking, with the ability to connect process design, data integrity, platform architecture, and enterprise business results.

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This role is responsible for designing and running the enterprise GTM architecture across RevOps, sales performance, and cross-functional execution, ensuring Scale's largest and most strategic accounts are engaged with rigor, consistency, and impact.

The GTM Architect will bring a strong point of view on how Scale engages enterprise accounts, how performance is measured, and how teams operate day-to-day to drive predictable growth. Over time, this role will have the opportunity to build and lead a GTM / RevOps team.

Responsibilities:

• Own and evolve Scale's enterprise GTM operating model, including account engagement strategy, funnel design, and sales execution standards

• Design and manage the enterprise RevOps systems stack (e.g., CRM, forecasting, reporting, planning tools) to support scalable growth

• Define, track, and operationalize core enterprise GTM metrics across pipeline health, deal velocity, forecast accuracy, and rep productivity

• Establish and run sales operating cadences including pipeline reviews, forecast calls, QBRs, and performance reviews

• Partner with Sales Leadership and Finance to design, implement, and maintain enterprise sales compensation plans, including quota governance and attainment reporting

• Build executive-level dashboards and reporting to support GTM decision-making and leadership visibility

• Serve as a strategic thought partner to Enterprise Sales leaders, bringing a strong opinion on how accounts should be covered, prioritized, and engaged

• Act as the connective tissue across Sales, Marketing, Finance, Product, and Solutions Engineering for enterprise GTM planning and execution

• Support annual and quarterly planning efforts including territory design, capacity modeling, headcount planning, and quota setting

• Ensure data integrity, process clarity, and operational discipline across all enterprise GTM motions

Ideally, You Will Have:

• 8–12+ years of experience in RevOps, Sales Ops, or GTM Strategy roles, with deep exposure to enterprise sales environments

• Experience supporting complex, multi-stakeholder enterprise sales motions in high-growth B2B SaaS or platform companies

• Proven ownership of sales systems, forecasting, and performance measurement at scale

• Hands-on experience designing and managing enterprise sales compensation plans and reporting

• Strong understanding of enterprise GTM metrics, planning cycles, and operating cadences

• A clear point of view on how enterprise accounts should be engaged and how to operationalize that engagement at scale

• Comfort influencing senior sales leaders and executives without direct authority

• Excellent written and verbal communication skills, including experience building executive-level materials and dashboards

• Strong command of GTM systems and tools (e.g., Salesforce, Clari, planning and reporting tools)

• High attention to detail paired with the ability to operate at a strategic altitude

• Demonstrated ability to operate as a senior IC with the ambition and capability to build and lead a team over time

• Technical curiosity or experience working alongside technical products and teams; familiarity with AI, ML, or data platforms is a plus

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $176,000-$220,000 USD

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You will be deployed into Databricks' most critical accounts and opportunities where executive alignment is fragile, deal velocity has stalled, or the path forward requires sharper thinking and stronger leadership. You will spend the majority of your time in the field with customers and account teams, with equal responsibility to elevate how we sell internally.

This is a 50/50 role:

Externally: Shaping customer vision, guiding executives, and driving deal outcomes. Internally: Advising, coaching, and raising the standard of the field.

The primary objective is to make the existing account team better, faster, and more effective, not to override their efforts.

The impact you will have:

Own the Hardest Moments – Step into late-stage, high-value, multi-threaded deals where alignment is not established and execution must improve. Operate at the Executive Layer – Engage CIOs, CDOs, and business leaders with a strong, credible point of view (POV) on data, AI, and platform transformation. Drive Deal Velocity – Bring structure to ambiguity, align stakeholders, clarify value, and compress decision cycles. Lead Through Influence – Earn trust quickly across both customers and internal teams; know when to push, when to align, and how to create movement. Elevate the Field – Coach Account Executives (AEs) and field leaders in real time, improving deal strategy, qualification, and execution standards. Scale What Works – Translate wins into repeatable plays across EBCs, QBRs, All Hands, and global enablement forums. Expand Enterprise Footprint – Identify new buying centers, use cases, and paths to platform adoption across large, complex organizations.

What we look for:

Background in Data & AI organizations in highly strategic sales roles. 10+ years with consistent top-tier performance in enterprise environments (Fortune 500 / Global 2000). Experience leading large, complex, multi-year, multi-stakeholder deals. Executive presence with the ability to quickly establish credibility at the C-level. A strong, defensible POV on data platforms, AI, and enterprise transformation. Demonstrated ability to influence without authority across account teams, leadership, and partners. Experience coaching and elevating high-performing sales teams in live deal environments. Comfort operating across industries, ambiguity, and high expectations. High ownership, high standards, and low ego.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

For more information regarding which range your location is in visit our page here.

Local Pay Range $136,000-$187,000 USD

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Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Model Deployment for Business

Compensation

• $198K – $335K • 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.

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 Forward Deployed Engineering team partners with global pharma and biotech, CROs, and research institutions to deploy existing expertise across the R&D value chain to help customers design and ship production-grade AI systems. We operate at the intersection of customer delivery and core platform development, converting early deployments into repeatable system standards and evaluation practices that scale across regulated environments.

About the role

We are hiring a Forward Deployed Engineer (FDE) to push the frontier on what is possible today across drug discovery (e.g., target identification, molecular design, pre-clinical) and development (e.g., trial design, trial ops, biostats) by leading end-to-end deployments of our models inside life sciences organizations and research institutions. You will work with customers who are deep experts in their scientific or operational domains, translating real-world data, infrastructure, and constraints into production systems.

Responsibilities

• Design and ship production systems around models, owning integrations, data provenance, reliability, and on-call readiness across research, clinical, and operational workflows.

• Lead discovery and scoping from pre-sales through post-sales, translating ambiguous workflow needs into hypothesis-driven problem framing, system requirements, and an execution plan with measurable endpoints.

• Define and enforce launch criteria for regulated contexts, including validation evidence, audit readiness, outcome metrics, and drive delivery until we demonstrate sustained production impact.

• Build in sensitive scientific data environments where auditability, validation, and access controls shape architecture, operating procedures, and failure handling.

• Run evaluation loops that measure model and system quality against workflow-specific scientific benchmarks and use results to drive model and product changes.

• Distill deployment learnings into hardened primitives, reference architectures, validation templates, and benchmark harnesses that scale across regulated life sciences environments.

Requirements

• Bring 5+ years of software/ML engineering or technical deployment experience with customer-facing ownership in biotech, pharma, clinical research, or scientific software; PhD, MS, or equivalent applied experience in a life sciences relevant field encouraged.

• Have owned customer GenAI deployments end-to-end from scoping through production adoption, and improved them through evaluation design, error analysis, and iterative evidence generation that tightens acceptance criteria over time.

• Have delivered AI systems in trial design, regulatory writing, or scientific operations where validation strategy, auditability, compliance constraints, and reviewer expectations shaped system design and rollout.

• Communicate clearly across scientific, clinical, model research, technical, and executive audiences, translating technical tradeoffs into decision quality, risk posture, and measurable outcomes with credibility.

• Apply systems thinking with high execution standards, consistently turning failures, escalations, and audit findings into improved operating standards, validat

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