Key responsibilities include: Managing customer relationships from the executive to the end user Working alongside customers to scope agentic workflow use cases that Scale's engineering team will build and refine Leading a cross-functional project team to deliver on and exceed the customer's AI/ML objectives Overseeing onboarding and successful implementation of customer accounts

Must haves: Active TS/SCI clearance 5+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications/solutions A track record of structured, analytics-driven problem solving Excellent verbal and written communication skills Willingness to be onsite with the customer in the Colorado Springs area 4 days per week and able to travel at least 25% of the time

Compensation packages at Scale 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.

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Your responsibilities will include: Metrics & Insights: Wrangle large, highly complex datasets using SQL into actionable insights and become the data expert for your business area. Develop metrics and large-scale dashboards to track the health of our user-facing and internal teams. Perform analyses (using SQL & other analytical tools/languages), identify trends, conduct research, build models, all to deliver objective, critical insights that can inform leadership of opportunities, risks, and strategic priorities. Communicate with executives: Create narratives and documents that tell the story of your business area to influence senior Operations leadership and Stripe executive team decision making. Own executive-facing weekly, monthly or quarterly reporting. Stakeholder management: Influence and drive cross-functional change by partnering with stakeholders across a wide internal network of globally distributed teams, including Ops, Finance, Data Science, Product/Engineering, and more Drive operational excellence: Design, optimize and drive operational reviews and rhythm of the business. Guide the planning and goal-setting process for your business area, as well as progress checks throughout the year. Bring and consistently apply a ROI lens to all operational decisions, so we can make better-informed trade-offs Support planning: support with forecasting/planning processes for your business area, including near/medium/long-term planning, to enable leadership to make strategic decisions

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Responsibilities: Provide day-to-day technical support for wire harness manufacturing operations (cutting, stripping, crimping, soldering, overmolding, braiding, labeling, continuity testing, etc.). Develop and maintain work instructions, process documentation, and standard operating procedures (SOPs). Optimise cycle times, workstation layouts, and material flow using Lean manufacturing principles. Lead root cause analysis and corrective actions for production issues (e.g., crimp pull failures, misrouting, labeling errors, test failures). Drive continuous improvement initiatives to improve first-pass yield (FPY), reduce scrap, and increase throughput. Collaborate with design engineering to review harness drawings, schematics, and BOMs for manufacturability (DFM/DFA). Develop process flows, tooling requirements, and capital equipment justifications for new harness builds. Design and implement assembly fixtures, test boards, and poka-yoke devices. Support pilot builds and production ramp-up activities. Specify and validate tooling and wire processing equipment. Ensure calibration and preventative maintenance schedules for assembly and testing equipment. Validate quality through testing, measurement, and analysis. Ensure compliance with IPC/WHMA-A-620 standards and internal quality requirements. Analyse production and quality data to identify trends and systemic issues. Participate in internal and external audits as needed. Maintain manufacturing documentation in ERP/MES systems. Generate and update routings, labor standards, and cost models. Support Engineering Change Orders (ECOs) and configuration control. Work closely with Quality, Supply Chain, Production Supervisors, and Design Engineering. Provide technical training and guidance to operators and technicians. Support supplier development related to harness components and subassemblies.

Qualifications: Bachelor's degree in Manufacturing Engineering, Mechanical Engineering, Electrical Engineering, or related field. 1+ years of experience in wire harness or cable assembly manufacturing. Strong knowledge of IPC/WHMA-A-620 standards. Experience with crimp validation (pull testing, crimp height measurement, microsectioning). Familiarity with Lean Manufacturing and continuous improvement methodologies. Proficiency in interpreting electrical schematics and harness drawings. Experience with ERP/MES systems. Strong analytical and problem-solving skills.

Preferred Qualifications: Experience in vehicle, aerospace, robotics, or defense manufacturing environments. Familiarity with automated wire processing equipment (e.g., Komax, Schleuniger). Six Sigma certification or formal training in structured problem solving (8D, DMAIC). Experience with overmolding, shielding, or high-voltage harness assemblies. Knowledge of test equipment for continuity, hipot, and functional validation.

Work Environment: Manufacturing floor environment with exposure to production equipment. Occasional lifting of harness boards and fixtures. Hands-on involvement with tooling, fixtures, and test equipment.

Additional Information: Benefits: Medical Insurance: Comprehensive health insurance plans covering a range of services Saronic pays 100% of the premium for employees and 80% for dependents Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care Saronic pays 100% of the premium under the basic plan for employees and 80% for dependents Time Off: Generous PTO and Holidays Parental Leave: Paid maternity and paternity leave to support new parents Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses Retirement Plan: 401(k) plan with company match Stock Options: Equity options to give employees a stake in the company's success Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage Pet Insurance: Discounted pet insurance options including 24/7 Telehealth helpline Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office

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Location

San Francisco

Employment Type

Full time

Department

Marketing

Compensation

• $284K – $415K

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 mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Marketing team helps deeply understand customer audiences and market dynamics, influence the development of the right products, build sustainable and customer-aligned monetization models, and drive awareness, adoption, and usage across OpenAI’s products and platform.

We take a data-driven approach to understand markets, develop monetization strategies, and uncover customer needs that shape product strategy and messaging. We partner closely with Sales, Partnerships, Product, Engineering, Research, Comms, and Design to deliver a cohesive end-to-end customer experience and lead go-to-market efforts for new product launches across channels.

About the role

We’re looking for a Monetization Product Marketer, Advertising to help shape and scale our advertising products and go-to-market strategy. You’ll combine strategy, market and customer insight with strong product intuition to guide roadmap priorities, mitigate product risks, and deliver launches and coordinate go-to-markets that drive adoption and measurable business impact. This role is ideal for someone who thrives in ambiguity, enjoys turning complex technical capabilities into clear customer value, and can lead cross-functional work in a fast-moving environment.

In this role you will:

• Lead market assessment and customer discovery to identify advertiser needs, market trends, and competitive dynamics

• Translate insights into clear product requirements, positioning, and go-to-market plans in close partnership with Product and Engineering

• Partner with Design, Data Science, and Analytics to define success metrics, measurement strategy, and experimentation plans

• Identify product risk areas (e.g., performance, safety, policy, trust) and drive cross-functional plans to mitigate them

• Own launch strategy and execution for new and improved advertising products, including messaging, enablement, and rollouts

• Build narratives and materials that explain value simply (e.g., positioning, sales decks, one-pagers, FAQs, internal comms)

• Lead the go-to-market strategy and coordination to drive product adoptions and sales in coordination with Sales, Partnerships and Product (Including client communications, product documentation, and positioning)

• Coordinate across stakeholders to keep workstreams aligned, remove blockers, and deliver outcomes on time

• Continuously evaluate and improve existing experiences to drive retention, performance, and advertiser satisfaction

You might be a great fit if you…

• Have strong structured problem solving skills - taking ambiguous problems, breaking them down into answerable parts and then designing and managing a process to answer these questions and driving implementation

• Can connect advertiser needs to product strategy, and influence prioritization across Product/Engineering/Design

• Understand the advertising ecosystem: measurement, targeting/relevance, creative, auctions, and performance tradeoffs

• Have experience marketing products—especially advertising, marketing tech, platforms, or data/AI products

• Communicate clearly and persuasively—turning technical concepts into crisp customer value and differentiated positioning

• Are fluent in both qualitative and quantitative research (customer interviews, surveys, funnel analysis, experimentation)

• Thrive in fast-paced, ambiguous environments and can manage multiple concurrent projects with strong judgment

• Are highly collaborative, proactive, and comfortable leading cross-functional efforts without direct authority

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 artificial intelligence while also ensuring that AI is developed in a way that is safe and beneficial to society.

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