Key Accountabilities:

• Develop complex component and system layouts for ATV/SxS prototype vehicles using computer-aided design software that achieve concept targets, function requirements, and manufacturing requisites without supervision.
• Establish or lead others to establish cost targets for responsible parts that contribute to achievement of the vehicle development targets and achieve the cost targets through optimizing difficult part/system designs and offsetting any spec changes after target fix through implementation of additional cost reduction ideas and strategies.
• Create and manage schedule of individual work or other's work to ensure deadlines are met, coordinate resource needs with supervisor, and effectively utilize contractor resources or groups of associates without supervision.
• Set goals for generating advanced ideas and lead the creation of comprehensive strategies that support the evolution of new technologies.
• Support or lead market quality themes without supervision. Utilize problem-solving methods to analyze root causes. Develop and implement C/M specs as necessary without supervision. Lead recurrence prevention when appropriate.
• Mentor others in areas of basic engineering principles, philosophy, best working practices, and company policy through example and other means necessary to penetrate the organization to reach appropriate technical levels.

Qualifications, Experience, and Skill:

• Bachelor's degree or equivalent in related field
• 10+ years of engineering experience, preferably in Powersports or Automotive field
• Highly proficient in understanding and application of company philosophy, policies
• Highly proficient in written and oral communication
• Highly proficient in problem-solving methods
• Highly proficient in creating a plan and schedule
• Highly proficient understanding of development project cycles
• Highly proficient analytical, problem-solving, judgment, decision-making, and prioritization
• Highly proficient time management skills
• Must be able to possess a high level of confidentiality

Working Conditions:

• Travel: Average of 1-3 times monthly. Amount varies based on project demands/responsibilities, conferences, etc.
• Physical: Primarily works at a desk or scope; frequent keyboarding. Limited kneeling, standing, squatting, reaching or bending.
• Hazards: Risks found in a typical office & shop setting. May be exposed to explosives/flammables, pressurized equipment, toxic chemicals, and moving parts.
• Overtime: Overtime expected based on project demands/responsibilities.

What differentiates Honda and makes us an employer of choice?

Total Rewards:

• Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.)
• Regional Bonus (when applicable)
• Manager Lease Car Program (No Cost - Car, Maintenance, and Insurance included)
• Industry-leading Benefit Plans (Medical, Dental, Vision, Rx)
• Paid time off, including vacation, holidays, shutdown
• Company Paid Short-Term and Long-Term Disability
• 401K Plan with company match + additional contribution
• Relocation assistance (if eligible)

Career Growth:

• Advancement Opportunities
• Career Mobility
• Education Reimbursement for Continued learning
• Training and Development Programs

Additional Offerings:

• Lifestyle Account
• Childcare Reimbursement Account
• Elder Care Support
• Tuition Assistance & Student Loan Repayment
• Wellbeing Program
• Community Service and Engagement Programs
• Product Programs

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You will ensure every Grok response is elegantly written,concise yet rich, distinctive yet never overwrought.

Responsibilities

• Rank and rewrite outputs for stylistic excellence, voice consistency, and aesthetic impact.
• Curate training data from the highest-quality writing across literature, essays, technical exposition, and historical texts.
• Eliminate clichés, corporate-speak, verbosity, and low-status signalling.
• Teach the model when brevity is elegance and when controlled extravagance is warranted.

Basic Qualifications

• Professional academic editing or copywriting experience.
• Exquisite aesthetic judgment and immediate recognition of “cheap” vs. “expensive” prose.
• Extremely broad and deep reading in literature, philosophy, science writing, and classics.
• Proficiency in reviewing and critiquing written materials, with strong skills in content organisation, narrative enhancement, and emulating various styles and voices.
• Ruthless self-editing instincts and strong ability to utilise reference materials, style guides, and resources for accurate, standard-adherent annotations.

Preferred Skills and Experience

• Published literary fiction, essays, or criticism.

Location and Other Expectations

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.
• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits

US based candidates: $45/hour - $70/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.

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Key responsibilities include:

• Shipping features that help users develop real skill with AI
• Architecting end-to-end prototypes that test new interaction paradigms
• Defining technical direction for the team
• Building relationships across Product, Design, and Research

As a successful candidate, you will have strong full-stack engineering skills, a design sensibility, and experience building and shipping web products. You will also have a deep conviction about human capability and a strong perspective on how technology should enhance human capabilities rather than diminish them.

We offer a competitive salary range of $300,000-$405,000 USD per year, depending on experience. We also offer a minimum education requirement of a Bachelor's degree or an equivalent combination of education, training, and/or experience, and a required field of study in a relevant field.

If you're passionate about AI and human capability, and you're looking for a challenging and rewarding role, please apply today!

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Responsibilities:

• Partner closely with our recruiting, people partner & finance teams acting as a trusted advisor.
• Advise senior leaders on compensation decisioning balancing business needs with alignment to our compensation philosophy & pay equity principles.
• Support & evolve our compensation programs, such as our annual merit cycle, market analyses, and off-cycle review ensuring they are efficient, thoughtful and effective.
• Influence leadership to think critically about pay and equity
• Lead efforts to educate Mercury employees (both managers and ICs) on our compensation philosophy, ensuring appropriate transparency
• Lead and develop a people analytics strategy, enabling us to proactively identify & communicate key trends to Executive stakeholders.
• Leverage people analytics data to inform compensation decisions & proactive market inquiries.

Requirements:

• Experience running and building compensation programs at a high growth, quickly scaling company
• Willingness to influence and advocate for philosophies you believe in
• Obsessive over accuracy and pay strong attention to detail
• Love building processes that can scale in a thoughtful and organized way
• Love playing in data and have rigorous data analytics skills
• Have a high level of integrity and the ability to handle confidential information discreetly
• Have a passion for working efficiently with great tools, suggest new tools where there are opportunities for improvement, and be willing to learn the tools we are currently using
• Have a ton of fun while doing everything above

Total rewards package at Mercury includes base salary, equity (stock options), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate's experience, expertise, geographic location, and internal pay equity relative to peers.

Target new hire base salary ranges for this role are:

• US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $132,400 - $165,500
• US employees outside of New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $119,200 - $149,000

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As a member of the Token Vesting team, you will be responsible for owning features end-to-end - from shaping an idea, to implementing it, to shipping and iterating in production.

We’re looking for someone who cares about code quality and enjoys collaborating closely with product and design partners.

Success in this role means delivering reliable, maintainable software that solves real problems for users - not just writing the code, but helping shape how the product evolves.

We think about growth and career development differently at Anchorage Digital. We define performance as acquiring, possessing, and practicing a relevant set of skills and competencies - and the ability to apply them effectively and consistently.

You will be coached, mentored and guided to grow your capabilities in 4 major areas:

Technical Skills:

• Progress from implementing scoped tasks to designing solutions independently
• Participate in task breakdown, estimation, design, implementation and maintenance across the full stack
• Proactively improve code quality, performance, and developer experience
• Review code across frontend and backend, ensuring consistency, reducing errors, and sharing context across the engineering team

Complexity and Impact of Work:

• Drive work independently and own increasingly complex systems/workflows
• Be capable of breaking down large projects into smaller tasks, and accurately estimating the time and scope of projects. Articulates effectively the different options considered, analyzes trade-offs, justifies and recommends priorities.

Organizational Knowledge:

• Learn how the product, users, and business fits together
• Ensure that knowledge is shared among the team and do not position yourself or others as a single point of failure.

Communication and Influence:

• Work closely with designers and other engineers to shape solutions together, not just implement specs.
• Actively participate in the design and technical discussions, offering opinions backed by reasoning.
• Communicate outside team boundaries to solve problems, networks with other teams, and establishes positive working relationships in other disciplines and domains.

You may be a fit for this role if you:

• Have real world experience building complex distributed systems and web applications from scratch
• Proficiency with Svelte/SvelteKit or similar JavaScript frameworks (Next.JS, Angular.JS, Vue.JS)
• Strong problem-solving skills and the ability to work with incomplete or rapidly evolving requirements
• Clear communication skills and a collaborative mindset
• Ownership mentality - you care about the quality and success of what you build
• Genuinely care about code quality, test infrastructure, and end-user experience

Although not a requirement, bonus points if you have:

• Have production experience with web security
• Familiarity with common vesting models (time based, cliffs, linear, etc)
• Prior experience working with Web3/Crypto applications
• CI/CD tools/systems/philosophy
• Experience with GraphQL

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Our purpose is to bring together people, energy and markets to power and navigate a changing world.

We are seeking a Drilling Engineer to plan and deliver safe, efficient and compliant well operations across our Trinidad & Tobago portfolio. The role spans front-end design through execution and close-out, working in a multidisciplinary environment to optimize value, mitigate risk, and uphold the highest standards of well integrity and operational excellence.

Key accountabilities

• Develop drilling programs, basis of design, and well barrier schematics; select casing, mud, and BOP configurations aligned with standards and local laws.
• Lead well start-up activities including rig/vessel intake, assurance verifications, and operational risk assessments; ensure procedures, permits, and contingencies are in place.
• Provide real-time engineering oversight during drilling, completions, and interventions; solve operational issues and implement performance improvements.
• Track KPIs (NPT, ILT, OPEX/CAPEX), benchmark performance, and drive continuous improvement, learning capture, and application to subsequent wells.
• Maintain robust well barrier envelopes; steward well control procedures, drills, and reporting; ensure compliance with well integrity management requirements.
• Identify critical risks and barriers; execute risk mitigation plans; lead and document Management of Change for technical and operational variations.
• Collaborate with PSCM and suppliers on scopes of work, execution plans, and service quality; participate in performance evaluations and after-action learning.
• Ensure alignment to company practices and applicable legislation; prepare regulatory submissions, exemptions, and notifications as required.
• Deliver high-quality end-of-well reports, well files, and lessons learned; contribute to audits, verifications, and technical peer reviews.
• Champion a strong safety culture, intervene on unsafe conditions, and role-model Life-Saving Rules and operational discipline.

Essential experience & technical capability

• Significant experience as a Drilling Engineer in upstream oil & gas, including offshore operations.
• Proficiency in well design, casing design & load cases, hydraulics, BHAs, bits, torque & drag, pore/fracture pressure modeling, and geomechanics application.
• Proven involvement in rig/vessel intake, startup, and supervised execution of drilling operations (e.g., platform, jack-up and/or floating units).
• Practical experience supporting or integrating completion and intervention scopes, including wellhead/x-mas tree systems and tubular handling.
• Deep familiarity with well control principles, barrier philosophy, and incident response.
• Track record of reducing NPT/ILT and improving cost and cycle time through data-driven performance optimization.
• Solid understanding of industry software for well engineering (e.g., hydraulics, anti-collision, torque & drag, trajectory design) and digital reporting systems.
• Strong command of relevant industry standards and regulatory frameworks in offshore drilling.

Desirable / differentiators

• Subsea well experience (design or operations) in addition to platform/jack-up environments.
• Side-track planning and execution exposure.
• Supplier performance management and integrated services coordination.
• Multi-operator or JV experience and effective partner/stakeholder engagement.

Education & certifications

• Bachelor's degree or equivalent experience in Petroleum, Mechanical, or related Engineering discipline (or equivalent).
• Well Control certification (IWCF or IADC) at Supervisor level (or obtained within agreed timeframe).
• Valid offshore medical and survival certifications (or ability to obtain).

Success profile (what good looks like)

• Makes risk-based decisions; never compromises on barrier health or well control.
• Anticipates problems, proposes pragmatic contingencies, and acts decisively under pressure.
• Communicates clearly with subsurface, operations, HSE, logistics, and suppliers; builds trust on the rig and onshore.
• Uses data and learning loops to drive measurable performance gains well-to-well.
• Takes end-to-end responsibility for scope, quality of engineering deliverables, and execution outcomes.

Working pattern & travel

• Office-based with offshore trips as required for well start-ups, critical operations, and audits; occasional travel to supplier or partner sites.

Equal opportunity statement

We are an equal opportunities employer.

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Product Manager, Safety Systems

Location

San Francisco

Employment Type

Full time

Department

Product Management

Compensation

• $293K – $385K • 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.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models, ensuring our models are deployed responsibly and have a positive impact on society. Our work spans diverse research and engineering initiatives—from system-level safeguards and model training to evaluation and red-teaming—all aimed at mitigating misuse and maintaining our high bar for safety. We lead OpenAI's commitment to developing and deploying safe Artificial General Intelligence (AGI), fostering a culture of trust, responsibility, and transparency.

Our goal is to continuously learn from deployments, distribute AI’s benefits widely, and ensure that powerful tools remain aligned with human values and safety considerations.

About the Role

As a Product Manager on the Safety Systems team, you will drive initiatives which ensure that OpenAI’s frontier model deployments are safe, impactful, and aligned with user needs and technical innovation. You will clarify strategic priorities, develop safety-focused product roadmaps, and collaborate closely with AI researchers, software engineers, policy experts, and cross-functional partners. This role suits a proactive, technically skilled product manager adept at adversarial thinking and excited to tackle challenging, ambiguous problems through structured analysis and collaborative decision-making.

This position is based in San Francisco, CA, with relocation assistance available.

In this role, you will:

• Partner closely with research, engineering, data science, policy teams, and other stakeholders to embed safety throughout the development and deployment of frontier AI models.

• Develop comprehensive frameworks for understanding and mitigating deployment safety risks, drawing on data analysis, expert consultation, and adversarial assessments.

• Define strategic priorities and product roadmaps focused on improving deployment safety, enhancing reliability, and managing emerging AI capabilities.

• Create scalable methodologies, tools, and processes for evaluating, refining, and continuously improving our safety systems.

• Establish repeatable processes to integrate cutting-edge AI safety research into OpenAI’s models and product offerings.

• Develop and continuously refine clear, actionable metrics that effectively capture safety performance and user experience at scale.

You might thrive in this role if you:

• Have 6+ years of product management or related industry roles, with specific expertise in AI safety, trust & safety, integrity, or related domains.

• Are deeply curious and interested in interdisciplinary fields such as human-computer interaction, psychology, philosophy, or similar areas.

• Have hands-on experience driving consensus and action in ambiguous spaces.

• Excel at identifying and challenging underlying assumptions and constraints through insightful questioning.

• Are highly effective at cross-functional collaboration and communicating complex technical concepts clearly and persuasively.

• Enjoy working in a fast-paced, high-growth environment.

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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Product Manager, Model Behavior

Location

San Francisco

Employment Type

Full time

Department

Product Management

Compensation

• $230K – $325K • 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.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Model Behavior team is responsible for how OpenAI’s models behave. We’re focused on making current and future models better for people at scale—improving existing capabilities, shaping emerging ones, and scaling model behavior tuning. We collaborate across the company, as our work directly impacts many teams.

About the Role

As a Product Manager for the Model Behavior team, you'll be at the forefront of defining and guiding the future of how our AI models behave in real-world applications. You’ll set clear priorities and drive impactful improvements to model capabilities, balancing user needs, safety considerations, and technical innovation. This role is perfect for a proactive, technically adept PM who thrives on solving challenging, ambiguous problems through structured product thinking and close collaboration.

This position is based in San Francisco, CA, with relocation assistance available.

In this role, you will:

• Define strategic priorities and roadmap for improving model behavior, focusing on user outcomes, safety, reliability, and emerging capabilities. Care for our users, and humanity as a whole, are core to this role.

• Partner closely with research, engineering, product design, and policy teams to translate strategic goals into actionable product initiatives.

• Develop scalable methodologies, tools, and processes for evaluating, tuning, and iterating on model behavior.

• Synthesize user research, community feedback, and quantitative insights into targeted improvements in our AI models.

• Establish and iterate on clear, actionable metrics that accurately reflect model quality and user experience at scale.

You might thrive in this role if you:

• Have 6+ years of product management or related industry experience.

• Have an interest in fields such as human-computer interaction, psychology, philosophy, or other relevant fields.

• Are excited about building not just a product, but a new form of intelligence, with the aim to benefit humanity

• Have hands-on experience driving consensus and action in ambiguous spaces.

• Know how to ask questions that uncover underlying constraints and assumptions.

• Excel at collaborating across diverse teams and communicating complex ideas clearly.

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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Microsoft AI are looking for a talented Member of Technical Staff - Prompt Engineer at their Mountain View office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Prompt Engineer, you'll craft the foundations that enable meaningful human-AI partnerships. You'll design and develop prompting techniques for emotional and intellectual use cases, establish frameworks for AI companions to navigate complex social and ethical situations with nuance and care, and create evaluations to measure both technical/practical performance and non-deterministic performance like EQ.

Accountabilities

• Design & develop prompting techniques for emotional and intellectual use cases
• Establish frameworks for AI companions to navigate complex social and ethical situations with nuance and care

The Candidate we're looking for

Experience:

• 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

Technical skills:

• Experience with large language models
• Familiarity with both quantitative metrics and qualitative assessment methods

Personal attributes:

• A wonderful writer who loves words, storytelling, or linguistics
• Effective written communication skills: able to convey complex information clearly, concisely, and effectively for various audiences

Benefits

• Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year
• Certain roles may be eligible for benefits and other compensation

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