Задачи:
— Проектировать и документировать ключевые игровые системы: прокачка героев, внутриигровая экономика, боевые механики, ивенты (GDD, схемы, User Flow, ТЗ для команды);
— Строить математические модели баланса характеристик и поддерживать баланс-таблицы в Excel / Google Sheets;
— Настраивать кривые сложности и прогрессии, проектировать игровые циклы и вовлекающие петли;
— Проектировать уровни и цепочки квестов;
— Прототипировать фичи в Unity (или Figma) и проводить внутренние плей-тесты;
— Проводить A/B-тесты ключевых элементов (баланс, награды, UI), анализировать метрики (Retention, ARPU, LTV) и корректировать системы по результатам;
— Балансировать live-контент: ивенты, сезоны;
— Тесно работать с артом, разработкой и аналитикой, улучшая продукт итеративно.
Требования:
— Игровой опыт 500+ часов (суммарно) в следующих играх: IdleOn, Revolution Idle, Melvor Idle, Idle Slayer, NGU IDLE, Unnamed Space Idle, Idle Clans, Idle Skilling, Idle Fishing;
— Уверенное использование AI-инструментов (ChatGPT/Claude и т.п.);
— Понимание метрик (ARPU, ARPPU, LTV, Retention) именно как данных для балансировки систем, а не как отчётности;
— Умение работать с баланс-таблицами и сложными формулами в Excel / Google Sheets;
— Навыки прототипирования в Unity или макетирования в Figma / Sketch;
— Аналитическое мышление: способность довести идею до формулы и проверить её на цифрах.
Будет плюсом:
— Опыт работы с Pixel Art-проектами: понимание ограничений стиля и умение формулировать ТЗ для художника.
Не рассматривают:
— Кандидатов без реального игрового опыта в idle-жанре.
Условия:
— Полностью удалённо;
— График: с 12:00 до 21:00 МСК (1 час обед);
— Полная занятость: 5/2, 8 рабочих часов;
— Формат трудоустройства — самозанятость;
— Отсутствие бюрократии и отчётов — ориентируются на эффективность;
— Нет строгой иерархии: если знаете, как сделать лучше — предлагайте и аргументируйте;
— Работа в небольшой команде с возможностью влиять на процессы.
Location: London
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
WHY THE COHERE TPM ROLE?
As our Generative Machine Learning organization has continued growing, we are looking for more Technical Program Managers to join the team!
At Cohere, TPMs are pivotal to our success, being seen as operational experts specializing in cross-functional efforts. Great TPMs at Cohere are well-rounded, executing with precision at the tactical level, while partnering with senior leaders and shaping the big picture at a strategic level, and the opportunities are endless in growing the scale and impact of their work. Cohere’s TPMs would often be described as organized, execution-oriented, pragmatic leaders who are adaptable to the needs of the company and the programs they lead.
As a reward for the depth and breadth of expertize that you bring to the table, you will get to work alongside some of the most talented AI researchers and industry experts in the world on building cutting edge AI technology. No day will be the same as the one before, and the dynamic high growth environment will be absolutely perfect for anyone excited about solving novel problems, bringing structure to oftentimes chaotic and fast-paced environments, and ambitious about scaling their own impact and growth alongside the company!
Please note: While we are remote-first and accept candidates from all over the world, we are highly prioritizing hiring for people who are within 1-2 hours of British Standard Time (BST).
AS A MACHINE LEARNING TECHNICAL PROGRAM MANAGER, YOU WILL:
- Establish, improve, and scale foundational processes that allow the Generative Modeling teams to execute better, faster, and more predictably
- Scale the operational capacity and effectiveness of the Modeling TPM team in collaboration with the Modeling TPM lead to ensure the function can remain lean and effective during a period of the program portfolio complexity and size continuing to rapidly increase
- Flexibly adapt to the needs of the company, programs, and the team from tackling long-horizon programs that can span quarters or even years to jumping onto often highly ambiguous short-term challenges that can have company-wide impact
- Partner directly with leaders within and outside of the Modeling organization on efforts to design, train and improve our core generative models
- Lead cross-functional, oftentimes company-wide programs and strategic initiatives, collaborating and coordinating with cross-functional teams such as Product, Engineering, Legal, Platform, Infra, Policy, and Finance
- Operate as an organizational expert in improving engineering execution rigor and operations on the ground, while contributing to the strategic layer in areas such as long-term strategic planning with senior modeling leadership
- Map out dependencies and risks, and ensure that cross-functional execution across the program runs smoothly, communicating status with non-technical and technical stakeholders and senior management
- Both own and enable a useful communication flow of priorities, ideas, and knowledge throughout and beyond the Modeling organization in line with your programs
- Respond quickly to program-level changes, clarifying new scope, and managing resource needs in response to evolving priorities
YOU MAY BE A GOOD FIT IF YOU HAVE:
- 5-10 years as a Technical Program Manager AND 5+ years of experience working directly on AI/ML. Strong preference for candidates that have worked directly in building foundation models.
- In-depth knowledge of machine learning, particularly when it comes to Natural Language Processing & Large Language Models (LLMs). Bonus points for experience with Multimodal AI.
- Experience with working in a chaotic, fast paced, low structure environment. We need someone who is pragmatic, can roll up their sleeves when needed, and can function at the tactical and strategic level to do whatever it takes to make Cohere’s models succeed
- Personal hands-on understanding of the unique challenges of managing projects and programs in the AI/ML development space as opposed to traditional software program management
- Managed projects & programs requiring a strong general business acumen, such as coordinating with Finance on reporting needs or Policy on regulatory compliance matters — the broader your experience beyond ML technical program management, the better!
- (optional, but preferred) Have technical experience in a hands-on capacity. We don’t necessarily need someone with hands on experience training models, but you need to feel comfortable sitting in the same rooms with some of the best researchers in the world, working on highly complex, cutting edge ML problems
If some of the above - other than the ML TPM experience - doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
We welcome applicants of all kinds and are committed to providing both an equal opportunity process and work environment. We value and celebrate diversity and strive to create an inclusive work environment for all.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Long Beach, United States
Your Mission on the Team:
You will be responsible for the overall design and development of satellites for the Meridian Space constellation, from concept through on-orbit operation. This includes top level design, risk and cost assessment, systems engineering, testing and operations. As part of a small team tackling ambitious challenges, you’ll take full ownership of satellite performance in orbit - driving each phase of development to ensure mission success and dependable service delivery.
Basic Qualifications:
5+ years professional design/development experience in satellite systems.
Proven experience as a leader on at least one satellite program.
Skill in using and creating software tools to model systems performance across a variety of disciplines (MATLAB, Python, Excel, etc.)
Strong understanding of satellite technologies, design principles, and concepts of operations
Bachelor’s degree in aerospace engineering or related field
Strong interpersonal, verbal, and written communication skills
Preferred Qualifications:
10+ years professional design/development experience in satellite systems
Master's degree in Electrical or Systems Engineering, or related field
Previous experience with spacecraft and/or space mission top level design
Previous work on small LEO satellites
Breadth of experience leading satellite systems development and testing
Experience with creating satellite simulations and models
Satellite operations experience
seniorLong Beach, United States
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
About the role:
Location: Buenos Aires, Argentina (Hybrid 1–3 days per week in office)
Full-time
Permanent, full-time employee (this is not a contractor position)
Reporting to the Senior Director, Information Technology
As an IT Support Specialist, you’ll:
— Resolve employee tickets through our help desk, leveraging AI powered support tooling to triage, troubleshoot, and close issues efficiently
— Make our AI powered tooling even better by documenting common issues, fixes, and processes to build out our internal knowledge base
— Own audio visual setup at the office
— Diagnose and resolve hardware and software issues across macOS devices, peripherals, and office technology
— Partner with the Workplace Experience team on ordering and provisioning equipment and supporting our office space
— Serve as a backup resource for IT onboarding support during new hire cohorts, as needed
— Provide local support for our Argentina based workforce
— Maintain hardware and software inventory, where necessary
— Escalate complex issues to the right internal teams and follow through to resolution
About you:
Requirements:
— 2-4 years of hands-on experience with help desk ticketing systems
— Skilled in using AI-powered tools to work efficiently such as MM&MM
— Familiar with supporting audiovisual setups for meetings, presentations, and larger events
— Comfortable troubleshooting macOS environments
— Proficient in new hire onboarding, including account setup, hardware provisioning and day-one enablement
— Ability to perform physical, in-office work such as setting up desks, provisioning equipment, and helping stand up new office spaces and lift up to 20lbs
— Available to work full-time from our Buenos Aires office, with potential travel to other office locations and occasional work from home
You’ll thrive as an IT Support Specialist if you:
— Bring genuine warmth to every interaction with a desire to help
— Communicate clearly and patiently with employees
— Enjoy variety and can shift gears between tickets, AV, and hands on office work without missing a beat
— Are flexible, knowing that some weeks look like steady ticket work and others mean adjusting your schedule around an event
— Take pride in the small details that make an office feel like it just works
— Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact
Benefits:
— Ownership in what you help build: Every permanent Webflower receives equity (RSUs) in our growing, privately held company.
— Health coverage that actually covers you: Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums.
— Support for every stage of family life: 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions.
— Time off that’s actually off: Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired.
— Wellness for the whole you: Access to mental health resources, therapy and coaching.
— Invest in your future: A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally.
— Monthly stipends that flex with your life: Localized support for work and wellness expenses — from Wi-Fi to workouts.
— Bonus for building together: All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.
Additional information:
— Permanent, full-time employee position (not contractor)
— Hybrid work format: 1–3 days per week in office
— Must be available to work full-time from Buenos Aires office, with potential travel and occasional remote work
— Reasonable accommodations provided for individuals with disabilities
— Valid right to work authorization required
— Background check may be required
Core behaviors:
— Build lasting customer trust
— Win together
— Reinvent ourselves
— Own it all the way
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Safeguards organization builds the policies, evaluations, and detection and enforcement systems that define and hold the limits on how Claude can be used. Within Safeguards, our Policy, Enforcement, and Threat Intelligence teams work as one org: Policy Design defines what is and isn't allowed across harm areas, Enforcement detects and acts on violations, and Threat Intelligence investigates sophisticated misuse and emerging threats.
That work runs across a lot of teams and moves fast. A single decision can touch model training, detection systems, product launches, legal review, and external communications. As the org's program manager, you'll keep all of it moving: tracking the portfolio across all three teams, running the processes that connect their work to each other and to the rest of the company, and making sure the right people are aligned before decisions land.
Your work will include the operating rhythm (planning, priorities, status, and decision tracking), launch and release readiness across policy, enforcement, and threat intelligence workstreams, and the processes that support how we share our work externally, including blog posts, threat reports, and other publications. You'll work closely with the org's leadership to spot risks early, clear blockers, and keep everyone pointed in the same direction.
This role is a good fit for someone who brings structure to ambiguous, fast-moving work without adding overhead, and who can earn the trust of policy experts, researchers, and engineers alike.
Important context for this role: some of the work may involve exposure to explicit content, including material of a sexual, violent, or psychologically disturbing nature. It also may require late nights or weekend work.
Key responsibilities
Own cross-functional program management for the Policy Design, Enforcement and Threat Intel teams, keeping workstreams across harm areas on track and visible to leadership
Run the team's operating rhythm: quarterly planning, priority setting, status tracking, and a clear record of decisions, who made them, and why
Coordinate policy work with partner teams across research, product, engineering, legal, and communications, so dependencies are surfaced early and nothing lands on a partner as a surprise
Drive readiness for policy, enforcement, and threat intelligence work tied to model launches and product releases, including timelines, reviews, and sign-offs
Own the process for the org's external publications, including blog posts and threat reports, from idea through drafting, review, approvals, and publication
Identify risks, blockers, and resourcing gaps across the portfolio, and escalate them with a proposed path forward
Build lightweight processes and tools that make the team faster, and retire the ones that stop earning their keep
Minimum qualifications
Experience running cross-functional programs in a fast-moving technical environment, with a track record of shipping on time across teams you don't manage
Ability to bring structure to ambiguous work: breaking big goals into plans, owners, and milestones, and keeping them current as priorities shift
Strong written communication, including clear status updates, decision records, and summaries for executive audiences
Experience managing review and approval processes with multiple stakeholders, such as publications, launches, or policy releases
Judgment about when a process helps and when it's overhead, and a bias toward the lightest process that works
Comfort working on sensitive topics and holding high standards for confidentiality
Preferred qualifications
Program management experience in trust & safety, product policy, enforcement operations, threat intelligence, or AI safety
Familiarity with how AI models are developed and launched, and how policy, enforcement, and threat intelligence work plug into that cycle
Experience coordinating external publications, research releases, or public communications
Experience using AI tools, including agentic tools, to automate tracking, reporting, and other recurring program work
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$285,000
—
$330,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco Bay Area, USA
Workplace: Hybrid
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.
We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
ROLE OVERVIEW
We are seeking an exceptional Executive Assistant to serve as a trusted partner to our Chief Strategy Officer/Co-Founder. This role is responsible for providing high-level executive support, maximizing executive effectiveness, and ensuring seamless day-to-day operations for company leadership.
You will operate at the center of the organization, helping leaders stay focused on the highest-impact priorities by managing complex schedules, coordinating critical activities, streamlining communication, and driving operational excellence. The ideal candidate is proactive, highly organized, and thrives in fast-paced, high-growth environments where priorities shift quickly and discretion is essential.
The ideal candidate has experience supporting founders, CEOs, managing partners, or senior executives in environments such as venture capital, private equity, management consulting, investment banking, or high-growth technology companies.
KEY RESPONSIBILITIES
EXECUTIVE SUPPORT
- Manage highly complex calendars across multiple time zones and competing priorities.
- Coordinate domestic and international travel, including detailed itineraries, visas, accommodations, and last-minute changes.
- Assist with in-person events/appearances
- Prepare executives for meetings by assembling agendas, briefing materials, presentations, and supporting documentation.
- Act as a strategic gatekeeper and thought partner, helping prioritize opportunities, meetings, and requests.
- Track action items and ensure follow-through across executive meetings and company initiatives.
- Coordinate leadership team meetings, board meetings, investor meetings, and executive offsites.
- Draft, edit, and manage executive communications and correspondence.
- Partner closely with executives to maximize efficiency, productivity, and effectiveness.
- Handle confidential and highly sensitive information with exceptional judgment and discretion.
CROSS-FUNCTIONAL COORDINATION
- Serve as a key liaison between executives and internal and external stakeholders.
- Coordinate with Finance, Legal, Recruiting, Operations, and People teams on executive priorities.
- Manage logistics for investors, board members, customers, partners, and candidates.
- Support strategic initiatives and special projects as assigned by leadership.
- Help create structure and operational excellence in a fast-moving, high-growth environment.
OFFICE OPERATIONS & WORKPLACE SUPPORT
- Coordinate office logistics and workplace vendors as needed.
- Support planning and execution of company events, leadership offsites, and team gatherings.
- Assist with visitor, candidate, and investor hospitality.
- Help ensure office spaces are organized, professional, and operating smoothly.
- Support onboarding logistics and workplace coordination in partnership with People Operations and IT.
KNOWLEDGE, SKILLS, AND QUALIFICATIONS
- 6+ years of Executive Assistant experience supporting C-level executives, founders, managing partners, or executive leadership teams.
- Experience supporting senior executives within one or more of the following environments:
- Venture Capital
- Private Equity
- Management Consulting
- Investment Banking
- Hypergrowth Technology Companies
- Demonstrated experience supporting founders or CEOs in fast-paced organizations.
- Exceptional organizational and project management skills.
- Outstanding written and verbal communication abilities.
- Strong business judgment and problem-solving skills.
- Ability to manage multiple priorities with minimal direction.
- High level of professionalism, discretion, and confidentiality.
COMPENSATION & BENEFITS
We offer a competitive and thoughtfully structured compensation package designed to align with impact and growth.
Base Salary: The anticipated salary range for this role is $110,000 - $175,000, depending on experience, skills, and location.
In addition to cash compensation, we offer equity and a comprehensive benefits package to support you both professionally and personally.
This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office at least three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in-person collaboration, active communication, responsiveness, and close partnership across teams.
Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.
Location: San Francisco
Workplace: Hybrid
OVERVIEW
The Workplace Experience team powers and connects the workday for all Perplexity employees across our global offices.
We are hospitality and experience-driven at the core. We are made up of People people, meaning that we love supporting each other and all of the People in our workplace. We take on the good and the bad with optimism and with a positive, kind approach to solving problems, dealing with the obstacles handed to us, and proactively creating good around us. We think about each moment through the lens of our colleagues (our customers) so that we can create thoughtful and memorable experiences no matter what task we have at hand.
As our Global Workplace Business Operations Lead, you will manage the business operations and cross-functional program delivery that enable our global Workplace Experience team to scale. In collaboration with the Head of Workplace Experience, you will set the operating framework for your areas, make decisions within agreed priorities and approval limits, and remain hands-on in delivering results. You will own the effectiveness of portfolio operating processes and internal project delivery.
WHAT YOU’LL DO
- Own the Workplace operating framework: Lead annual and quarterly planning for your areas, translate team strategy into priorities and resource plans, and establish clear decision rights, delivery commitments and measures of success. Resolve sequencing and capacity trade-offs within agreed parameters and recommend when to add people, vendors or technology.
- Lead internal capital-project delivery: Take accountability for integrated delivery plans across office openings, refreshes and other capital initiatives. Direct the work of external PMs within agreed scopes, align internal workstreams, resolve delivery issues and hold partners accountable for schedule, cost, quality and operational readiness.
- Own portfolio controls and insight: Establish dependable lease administration, obligation tracking, space and occupancy information, and portfolio reporting. Set data and control standards, ensure actions have owners, and turn trends and risks into recommendations before deadlines or capacity constraints become problems.
- Drive financial planning and performance: Own the processes and quality of operating and capital forecasts, commitments, actuals and variance analysis in partnership with Finance. Challenge assumptions, recommend corrective actions and investment trade-offs, and give the Head of Workplace Experience a reliable basis for budget and commitment decisions.
- Set the systems and reporting roadmap: Own business requirements, governance and improvement priorities for workplace tools such as Envoy. Establish useful performance measures, improve data quality, and automate repeatable work while maintaining appropriate controls and keeping processes practical for the team.
- Lead EHS program governance: Establish a risk-based plan, clear responsibilities and a review cadence with qualified vendors and internal teams. Drive follow-through on assessed obligations and remediation across offices and remote populations, maintain evidence of completion, and escalate material risks without substituting for specialist advice.
- Set standards for delivery and handover: Own the development and use of project playbooks, planning processes and operational-readiness criteria. Bring together design standards and occupancy requirements, and ensure completed projects transfer to local operations with the documentation, training, vendor arrangements and issue ownership needed to run well.
- Serve as a senior operating partner: Lead cross-functional operating and project reviews, surface decisions with clear recommendations, and represent your areas with internal and external partners. Drive resolution within your authority, escalate material changes with options, and build accountability without adding unnecessary layers.
WHAT YOU BRING
- Senior functional leadership: 8+ years in workplace business operations, corporate real estate, facilities programs or a closely related field, with increasing responsibility for complex, multi-site programs and their outcomes. You have operated with substantial autonomy, not only administered plans set by others.
- Project and program management expertise: You are a project manager at the core. You are quick and agile, but methodical when it comes to planning for, organizing, tracking, and executing on a project in a way that keeps everything and everyone aligned and on task.
- Relevant delivery depth: You have a record of delivering office buildouts, relocations or capital improvements as an internal owner, with accountability for scope, financial performance, schedules, change control and external delivery partners.
- Strong financial and analytical judgment: You have experience driving forecasting and reporting processes, challenging assumptions and translating portfolio data into resource or investment recommendations; strong spreadsheet and analytical skills.
- Experience building an operating framework: You have established planning, governance, performance measures and systems that helped a growing function deliver more predictably. You know when structure improves execution and when it becomes unnecessary process.
- Leadership across organizational boundaries: You can secure commitments, challenge constructively and resolve competing priorities across teams and vendors. You communicate risks and recommendations credibly to senior leaders and know which decisions to make independently and which to escalate.
- Hands-on ownership and sound judgment: You can move between portfolio-level trade-offs and project details, deliver through others without losing accountability, handle sensitive information responsibly, and maintain a kind, service-oriented approach under pressure.
- Helpful, not required: International portfolio experience, workplace technology ownership, EHS program governance, or a relevant project-management credential.
Location: United States, Aliso Viejo, CA
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Senior Software Engineer - AI & Agentic Architecture
This is a senior individual-contributor role combining deep hands-on engineering with multiple agentic frameworks & SDKs, harnesses, MCP, and APIs, technical leadership, and close collaboration with engineering, security, and product teams. You'll design and ship agentic systems, developer tooling, and reusable platform capabilities that improve productivity across SIE.
What you'll do:
Agentic & AI Engineering
Design, build, and operate production-quality agentic applications using agentic SDKs/harnesses — including multi-agent orchestration, subagent delegation, tool integration, and lifecycle hooks.
Design Model Context Protocol (MCP) tool and resource interfaces that give coding agents/harnesses safe, reliable access to backend systems and enterprise data.
Engineer prompts for reliable structured output (JSON schemas, few-shot examples, validation/retry loops) and build evaluation frameworks to measure and improve output quality.
Manage context effectively across long documents, multi-turn conversations, and multi-agent handoffs; design escalation and human-in-the-loop patterns for production reliability.
Developer Productivity
Configure and extend Codex/Claude Code for team-wide use:
AGENTS.md/CLAUDE.md
hierarchies, custom slash commands, Agent Skills, path-specific rules, and plan mode.
Integrate agentic development into CI/CD pipelines for automated code review, test generation, and PR feedback, tuned to minimize false positives and duplicate findings.
Build and maintain MCP server integrations (project- and user-scoped) that extend agent-native development capabilities across engineering workflows.
Identify high-value opportunities for AI-assisted development and design reusable capabilities that multiple teams can adopt, not just one-off solutions.
Discovery, Prototyping & Production Delivery
Partner directly with engineering teams to understand workflows, pain points, and opportunities through hands-on discovery.
Rapidly prototype and validate new AI capabilities with real users, then take successful prototypes into secure, observable, maintainable production systems.
Own the full lifecycle: implementation, testing, deployment, monitoring, and iteration.
Technical Leadership
Provide hands-on technical leadership through architecture discussions, code reviews, and troubleshooting of agentic systems.
Mentor engineers on agentic design patterns, prompt engineering, and agent-native development practices.
Communicate tradeoffs, risks, and results clearly to both technical and non-technical stakeholders.
Contribute to engineering standards, reusable patterns, and documentation that help other teams build effectively with agentic development tools.
Requirements
6+ years of professional software engineering experience, including significant hands-on work building and operating AI/LLM-powered or agentic applications.
Strong programming skills (Java, Python, Go, Rust, or C++) and solid engineering fundamentals — API design, testing, debugging, code review, maintainable code.
Practical, production-grade experience with agentic SDKs/harnesses, MCP, and LLMs — tool use, orchestration, RAG, context management, structured output, and evaluation.
Experience designing MCP tool/resource interfaces and reasoning about tool selection, error handling, and reliability in multi-agent systems.
Demonstrated experience integrating AI into CI/CD and developer workflows.
Ability to work in ambiguous problem spaces, evaluate tradeoffs, and make pragmatic engineering decisions.
Strong written and verbal communication skills, with experience mentoring and leading through influence.
Bachelor’s degree or equivalent.
Preferred Qualifications
Demonstrated expertise across agentic architecture, MCP integration, Codex/Claude Code configuration, prompt engineering, and context management.
Experience building multi-agent research or customer support systems, or structured data extraction pipelines.
Experience with AWS, Docker, Kubernetes, Terraform, and GitOps in support of AI/agentic infrastructure.
Familiarity with vector databases, embeddings, and AI evaluation frameworks.
Contributions to open-source projects involving AI, agentic systems, or developer tooling.
Strong systems thinking — understands how models, agents, tools, context, APIs, data, and infrastructure fit together as production systems, and can reason about dependencies and tradeoffs across the stack.
A track record of adapting quickly to new AI tools, models, and frameworks as the space evolves.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role
is eligible
for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products.
This role also may be eligible for a bonus package.
Click
here
to learn more.
The estimated base pay range for this role is listed below.
$177,300
—
$265,900 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: New York; San Francisco
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
We're looking for an experienced recruiter to help us scale our marketing org. You'll work closely with hiring managers and marketing leadership to build out the team across every function, from product marketing and demand gen to content, brand, and events. You'll own ambitious hiring goals and get deep on our product and the AI infrastructure space, so you can speak credibly to candidates about what we build and why it matters.
RESPONSIBILITIES
- Full-cycle recruiting: Own Marketing's hiring goals and process, from role kickoff through offer acceptance
- Sourcing: Work with hiring managers to define what "excellent" looks like for each role, then build pipelines through targeted sourcing and creative outreach
- Candidate experience: Partner closely with recruiting coordination on delivering an exceptional candidate experience, from first reach out to offer close
- Process improvement: Refine and scale our recruiting process to move faster while keeping a high bar
REQUIREMENTS
- 3+ years of full-cycle recruiting experience, ideally at a fast-growing startup with big headcount goals
- Experience hiring across marketing functions (e.g. product marketing, demand gen, growth, content, brand, events)
- Experience recruiting for a technical product, ideally developer tools, infrastructure, or AI
- Ownership mindset: you take responsibility for a team's hiring goals and fix what's slowing you down
- Strong organization, with the ability to run multiple searches at once
- Clear, direct written and verbal communication
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Renton, Washington, United States
We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.
We are looking for an energetic
Legal Extern
who is passionate about gaming to join our Legal team in supporting Wizards’ tabletop and digital games!
This position is open to current law students who are eligible to receive academic credit for the externship and are interested in pursuing a career in the games industry. The externship is a part-time hybrid position (up to 10 hours per week) during the school year.
What You'll Do:
Work with a team of attorneys and legal professionals to navigate the ever evolving world of gaming.
Conduct legal research, and document drafting on a broad array of legal matters and projects, which could include areas of antitrust, advertising, data protection and privacy, regulatory compliance, intellectual property, licensing, rights of publicity, business, gaming, and entertainment. Undertake projects related to these areas.
Collaborate with business teams and apply legal principles, analysis, and drafting skills to support internal partners regarding complex legal issues in the digital entertainment space.
Learn, utilize, and further develop legal operations and process management techniques, technologies, and practices, including with respect to document structure, drafting standards, contract lifecycle management, and legal information technology.
What You'll Bring:
Available to work in-person at our Renton, WA office location for the entire duration of the externship.
A passion for learning, quality and exploring the games industry.
Prior class work in subjects of intellectual property, entertainment law, commercial transactions or business law preferred.
Prior work experience in legal environment or industry preferred.
Strong communication, analytical, organizational and interpersonal skills required.
Self-starter who is results-oriented and exhibits responsibility, creativity, and intellectual curiosity.
The ability to quickly adapt to an ever-changing environment.
A willingness to roll up your sleeves and open to stretching outside of your comfort zone.
Excellent attention to detail and ability to prioritize workload.
Interested candidates must submit the following:
Cover letter, Resume, Law school transcripts, and writing sample.
This is an unpaid, for credit legal externship opportunity.
Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
Health & Wellness
Time Off to Recharge
Financial Well-being
Life & Family Support
Volunteer and Community Initiatives
Learning & Development
Exclusive Perks
Please review our
Applicant Privacy Notice
to learn how we collect, use, and protect your personal information in connection with the application process.
Location: Toronto, Ontario
Workplace: Hybrid
Artificial Intelligence. Actual Impact.
At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses.
We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive.
So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops.
THE ADVENTURE AHEAD 🚀
Our Salesforce team is at the center of how Docebo sells, renews, and serves customers. We're investing in how it operates, and this is a net-new role we're adding to lead that change. We have strong senior technical talent on the team — what we're adding is a product owner who can set direction, manage stakeholders, and give that talent well-scoped work to build.
You'll own the backlog and the priorities. You'll define the intake and process the team runs on. And you'll work shoulder-to-shoulder with our senior architects and admins as an advisor and partner — not to out-engineer them, but to make sure the team is solving the right problems in the right order, with the business bought in.
THE DAY-TO-DAY 🛠️
- The product backlog and priorities. Turn business needs into clear problem statements, user stories, and acceptance criteria. Prioritize with stakeholders so the team always knows what's next and why.
- Stakeholder management. Be the connective tissue between the Salesforce team and the business — Revenue Operations, Marketing, and Finance. Manage expectations, negotiate trade-offs, and bring the team into solution design early instead of receiving pre-baked requests.
- Process and ways of working. Define and stand up how the team intakes, prioritizes, and delivers work. Set the standard for a good request and make it stick, so work enters the team ready to build.
- Partnership with senior technical leads. Work with the team's architects and admins as an advisor and thought partner. You bring the product and process lens; they own the technical design. Together you keep the org healthy and the roadmap realistic.
- AI-driven innovation. Champion how the team uses AI to work smarter — from AI-assisted ticket triage and intake scoring to identifying where automation and AI can improve how Docebo runs on Salesforce.
- A seat at the table. Represent the Salesforce team when the business evaluates new tools, so decisions that affect the platform are made deliberately, not discovered later.
YOUR SUPERPOWERS ⚡
- Platform Depth: Proven experience as a Salesforce Architect, Senior Admin, or Business Analyst with the hands-on expertise needed to speak fluent platform and earn instant respect with technical leads.
- Product Ownership Mastery: Strong track record of running backlogs, scoping airtight requirements, prioritizing high-value features, and confidently saying "no" with strategic reasoning.
- Stakeholder Diplomacy: Exceptional ability to align competing business priorities across departments, negotiate trade-offs with senior leadership, and keep everyone bought into the plan.
- Process Architecture: Demonstrated success building lightweight, effective operating frameworks that bring structure and clarity to team workflows without adding bureaucratic bloat.
- Impactful Communication: Talent for translating technical complexities into business-friendly language for executives while keeping developers clear on the mission and priorities.
- AI-Forward Mindset: Natural curiosity and drive to leverage emerging AI solutions to optimize team operations and CRM efficiency.
- Governance Savvy: Deep comfort navigating regulated environments, including SOX controls, structured deployment schedules, and strict UAT standards.
BONUS POINTS 🌟
- Certified Expertise: Holding active Salesforce certifications (e.g., Administrator, Platform App Builder, or Architect track credentials).
- RevOps Synergy: Direct experience acting as the designated product owner partnering with a fast-paced Revenue Operations organization.
- Revenue Cloud Knowledge: Hands-on familiarity with Salesforce Revenue Cloud (CPQ/Billing) or leading complex billing system migrations.
- Applied AI Experience: Practical background implementing AI-driven workflows or tools within CRM or delivery environments.
OUR HYBRID WORK PHILOSOPHY 🤝
Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.
OUR TOTAL REWARDS PHILOSOPHY 🎉
Our Total Rewards Philosophy centers around three core areas to reward and care for our People:
- Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success.
- Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being.
- Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.
OUR PROMISE TO YOU 😍
- Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package.
- Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it.
- Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off!
- Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025!
- Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.
ABOUT DOCEBO 💙
At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world.
Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law.
As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities.
Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.
Location: San Francisco, CA
Workplace: Hybrid
About Niantic Spatial
AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time.
That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are.
In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right.
Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us.
About the Role
Niantic Spatial makes the physical world computable, helping people and machines collaborate safely by aligning how they understand reality. One of the fundamental problems we're helping autonomy teams and engineers overcome is the sim-to-real gap for visual-spatial understanding. We're applying our team's decades of experience encoding the world precisely as it is at Google Maps, Google Earth, and Niantic Labs to build the scalable real-to-sim stack for embodied AI.
We're looking for a Staff Engineer, Robot Learning to lead engineering for our real-to-sim product within the Embodied AI group. One of the fundamental problems facing autonomy teams is the sim-to-real gap in visual-spatial understanding, and we're applying decades of experience encoding the world precisely as it is to build the scalable real-to-sim stack for embodied AI.
Working alongside the group's General Manager and Product leader, you'll inform the roadmap, own the technical requirements our researchers and engineers build against, and personally prototype and evaluate the changes you propose. You've lived the problems our customers are solving: you've trained and deployed embodied AI systems, seen where and why simulation fails to predict real-world performance, and worked through the consequences.
This is not a role for someone who wants to manage and not ship, or someone who wants to ship without ownership of commercial consequences. This is a role for an entrepreneurial tech lead who loves to build and is energized by helping those around them do the best work of their lives. You have a co-founder mentality. You may have been part of a founding team before, or want to start your own business one day.
What You'll Do
- Sharpen the Roadmap - Bring first-hand knowledge of customer pain, existing solutions, and the value of doing better to roadmap decisions, and help focus effort on the most consequential problems to solve.
- Own the Technical Requirements - Guide the team to design the real-to-sim stack pragmatically. Make the final recommendation on what to build, integrate, and simplify, ensuring capabilities work within customers' existing training and evaluation workflows.
- Benchmark the Impact - Working with our Real-World Test Lab, design and run reproducible evaluations that measure the impact of our real-to-sim stack on policy transfer and real-world performance against customers' existing approaches.
- Build and Ship - Lead engineering delivery and personally build critical features. Keep scope tight, remove blockers, and get performant capabilities into customers' hands quickly.
- Raise the Technical Bar - Set a high bar for the team's work and deepen its understanding of robotics development and deployment, driving incremental improvement every week.
What You'll Bring
- Experience training, evaluating, and deploying robot policies in systems used by enterprise or government customers, with responsibility for performance in real operating conditions.
- Deep practical experience using simulation for policy training or evaluation, including tools such as NVIDIA Isaac Sim, Isaac Lab, MuJoCo, or equivalent. You have diagnosed sim-to-real failures and understand when greater fidelity improves outcomes.
- Hands-on experience with reinforcement learning, imitation learning, or both, and with deep-learning frameworks such as PyTorch.
- A practical understanding of how visual perception and 3D scene representations affect robotics training, evaluation, and real-world performance.
- Experience running experiments on real robots, from an ambiguous hypothesis through to defensible results.
- Strong Python and C++ skills, with experience building reliable production software.
- A bachelor's degree or higher in a relevant field.
Nice to Have
- You've authored or maintained a public robotics benchmark.
- You've helped take an early product to repeatable adoption across multiple customers.
- You've built or substantially extended robotics simulation infrastructure, including scene authoring, domain randomization, or large-scale training and evaluation.
- You've trained and deployed vision-based navigation or mobility policies, particularly in varied, unstructured environments.
- You've built pipelines that turn real-world reconstructions into simulation-ready environments.
Competencies
- Always Learning. Staying on top of the latest academic breakthroughs and commercial advancements, particularly in real-to-sim-to-real.
- Relentless bias for action. You make decisions and ship as if the company’s success depends on it, because it does. You set the pace, and drive the people around you to rise to it.
- Intellectually honest. You know there’s just one job that underpins every other in a startup: find the truth. You are relentless in your pursuit of it, including when it challenges your own convictions, and you raise concerns when you see them — even when it's uncomfortable, and especially when it's unpopular.
- Pragmatic. You have no patience for not-invented-here syndrome and analysis paralysis. You find the fastest path to delivering customer value without going through one-way doors that undermine future scaling.
- Confident and credible with customers. You can sit alongside an autonomy engineer and help them get to the root of their problems. You are comfortable speaking to customers and bring commercial nous to those discussions.
Compensation & Benefits
The expected salary range for this role is $270,000 – $300,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more.
Location & Work Model
This role is based in our San Francisco office, with three days per week in office.
Inclusive Application
We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for.
Equal Opportunity
Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process.
Candidate Privacy
I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.
Location: San Francisco
Workplace: Hybrid
About WorkOS 🚀
WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations.
We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid.
As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products.
ABOUT THE ROLE
We’re hiring an experienced Engineering Manager to lead Dashboard, the team helping customers get more value from the WorkOS suite and helping WorkOS grow as a business. We’re looking for a leader who is excited to manage engineers, but approaches the role as a startup founding member would.
You’ll lead engineers working across customer onboarding and growth, billing and monetization, and AI assistance in the WorkOS dashboard. The team’s work connects the customer journey from signup and integration through production and expansion. You’ll partner closely with design, go-to-market, finance, and other engineering teams to make that journey simpler and more effective.
This role offers meaningful autonomy to shape what we build and why. It’s a great fit for a strong product thinker who enjoys working closely with product managers and taking the lead on product decisions when the opportunity calls for it. You’ll have room to identify customer problems, propose new directions, and carry ideas from discovery through launch, with ownership of the outcomes. If you’re excited by the chance to combine engineering leadership with product judgment, there’s a lot to build here.
You’ll also drive technical strategy, empower your team to execute on projects with a direct impact on customer success and the business, and play a pivotal role in scaling the team and recruiting exceptional engineers.
WHAT YOUR TEAM WILL BUILD
- Growth and onboarding: help developers move from signing up to integrating and running WorkOS in production. Improve onboarding and next steps, and work with go-to-market teams on timely outreach informed by product signals.
- Billing and monetization: build annual-credit capabilities, make billing more reliable and automated, and give customers clearer pricing, usage, and credit information in the dashboard.
- AI assistance for developers: bring the Dashboard Agent, WorkOS MCP server, Ask WorkOS, and Support Bot into a coordinated experience, with shared retrieval, evaluations, and quality standards. Help developers get useful, consistent answers and make progress with WorkOS.
RESPONSIBILITIES
- Build and lead a high-velocity team that ships product fast and with polish across growth, monetization, and developer assistance.
- Be deeply technical and hands-on: read the PRs, write prototypes, and work with technical leads on architecture and project scope.
- Shape the roadmap in close partnership with product managers, design, go-to-market, finance, and engineering. Bring your own product perspective, identify opportunities, and drive product decisions directly where needed—from defining the problem and choosing an approach to measuring the outcome.
- Help the team improve the customer journey from signup to production and expansion, using product signals and customer feedback to choose what to build next.
- Balance rapid product iteration with the reliability and correctness customers need from billing and the quality they expect from AI assistance.
- Push for clarity, focus, and high energy in every sprint. Drive urgency without burning people out.
- Spend time with customers and engineers alike—digging into pain points, testing assumptions, and improving the craft.
- Coach, mentor, and grow a team of curious, driven engineers through direct feedback, clear goals, and meaningful ownership.
- Partner with recruiting to attract, hire, and retain exceptional engineering talent.
QUALIFICATIONS
- Track record of having successfully led product-focused engineering teams in high-performing organizations that shipped real impact.
- You've written code at a high level, and you still love to get your hands dirty. You view leadership as an amplifier, not a step back.
- Bias for action and scrappiness: You don’t over-optimize for process. You optimize for velocity, customer value, and learning.
- You deeply care about the developer experience. You think about UX, APIs, performance, edge cases, and joy.
- You ask "why" obsessively, and you push yourself (and your team) to learn constantly.
- You build trust, give direct feedback, and create space for engineers to thrive.
- You have experience partnering with internal recruiting teams to drive effective and fair hiring processes. You realize that recruiting is a large and important part of your role, and have a track record of recruiting, hiring, and mentoring top engineering talent.
- You’re a strong product thinker who connects customer needs, technical possibilities, and business outcomes. You collaborate well with product managers and are comfortable driving product decisions yourself, using customer insight and evidence to make tradeoffs and build alignment.
Experience with onboarding and growth, billing systems, or customer-facing AI products is especially relevant. You do not need prior experience in all three areas.
Benefits and Perks (US Only) 💖
At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.
- 401k matching
- Competitive Equity
- Healthcare, dental and vision coverage
- FSA, ST/LT Disability, Voluntary Life
- Carrot fertility benefits
- 20 days paid vacation + 10 holidays + unlimited sick leave
- 12 weeks fully paid parental leave
- Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active
- Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being
- Commuter benefits for hybrid employees in SF/NYC
- Unlimited token usage!
Please inquire directly with our recruiting team for benefits available to those working outside the US.
Equal Opportunity Employer
WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:
Large teams of agents are starting to solve problems no single agent can, from rewriting major codebases to formalizing landmark mathematics. Our team studies how these teams scale: what happens to performance, cost and coordination as the number of agents, the compute budget and the length of the task grow, and what has to change to keep getting returns from that scale. We build the platform and evaluations Anthropic uses to run and measure large agent teams, and other research teams build on them.
This role lives at the boundary between research and engineering. It is a generalist role on a small team: you'll design and run large experiments, build the systems they run on, and get to the bottom of surprising results. We often need to go from a vague question to a running experiment quickly.
Responsibilities:
Design, run and interpret large-scale experiments on agent teams, reasoning rigorously about what the data does and doesn't show
Investigate how performance and efficiency change as team size, compute and task horizon grow, and find the bottlenecks that limit them
Build and scale the systems that run very large agent teams reliably, and debug the failures that only appear at scale
Design evaluations for long-horizon problems, and keep their results trustworthy
Build the tooling and metrics that let researchers see what a large agent team is doing and why
Partner with research teams across Anthropic so they can run their own experiments on the platform, and communicate findings clearly
You may be a good fit if you:
Have significant software engineering, ML or research engineering experience
Have owned something substantial end to end, such as a large system, an evaluation or benchmark, an agent product, or a research project
Genuinely enjoy both research and engineering work
Think quantitatively about complex systems, and think twice before trusting a number
Can work from a vague question rather than a spec
Are results-oriented, with a bias towards flexibility and impact
Have clear written and verbal communication
Care about the societal impacts of your work
Strong candidates may also have:
Experience building or operating large-scale distributed systems, such as schedulers, sandboxed code execution, or inference and RL infrastructure
Built evaluations, benchmarks or harnesses for LLMs or agents
Experience building complex agentic systems that use LLMs
Experience with scaling laws or other large-scale empirical research
A background in operations research, statistics, economics, physics, quantitative finance, or another field that models and optimizes complex systems
Strong candidates need not have:
Formal certifications or education credentials
Academic research experience or publication history
Prior experience with multi-agent systems or reinforcement learning
Representative projects:
Measure how performance scales with the number of agents on a hard problem, and explain where the curve bends and why
Prepare our largest-ever agent run: find what breaks as team size and task length grow together, and fix it before launch
Work out how to allocate a fixed compute budget across a team of agents to solve a problem fastest
Build tooling that turns the activity of a large agent team into something a researcher can read in minutes
Design a novel eval that distinguishes real gains in teamwork from artifacts of the evaluation setup
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$500,000
—
$850,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We're seeking a business development lead to own Anthropic's BD partnership footprint with a small number of the world's largest and most consequential technology companies. These are not single-threaded accounts. Each relationship spans many businesses at once — consumer products, devices and operating systems, productivity and collaboration software, cloud and developer platforms, commerce, and enterprise distribution. Your job is to see the whole board, decide where Anthropic should lean in and where it shouldn't, and turn that judgment into signed deals.
The center of gravity for this role is product and distribution partnerships: co-developing opportunities with partners, and structuring the commercial, technical, and go-to-market terms that make those partnerships durable. You'll typically be running several deal streams inside the same partner in parallel — at different stages, with different counterparts, and with terms that interact with one another — and you'll be the person responsible for keeping them coherent.
This is an individual contributor role for a seasoned dealmaker who is comfortable as the primary counterpart to senior executives at very large companies, who brings strong judgment to ambiguous, high-stakes situations, and who can carry a complex, multi-party negotiation from first conversation through signature and into execution.
Key responsibilities
Manage a small number of large, multi-faceted partner relationships end to end: set the strategy for each relationship, decide which opportunities to pursue and in what order, and stay accountable for the overall health and commercial output of the partnership across every surface it touches
Lead product partnerships: identify and structure opportunities to embed Claude in partners' consumer and enterprise products, co-develop new products and features, and define the product, technical, data, and brand terms that come with them, working closely with Anthropic's product and engineering leaders
Run multiple deal streams in parallel: manage several concurrent negotiations within the same partner — product integrations, distribution and go-to-market, commercial and consumption agreements, and infrastructure — and sequence and connect them so terms in one stream reinforce rather than undercut the others
Negotiate complex, first-of-kind agreements: lead end-to-end negotiations involving novel commercial structures, revenue and economics sharing, product and roadmap commitments, exclusivity and competitive provisions, data terms, and multi-year, multi-component value exchanges
Act as an executive counterpart: build and manage relationships with senior executives and their teams on the partner side, serve as Anthropic's primary voice into the partnership, and prepare and steer Anthropic's own executives through partner-level engagements
Exercise judgment on behalf of Anthropic: weigh commercial upside against strategic, competitive, product, and mission considerations; know when to say no; and make clear, well-reasoned recommendations to Anthropic leadership on trade-offs that don't have a playbook
Drive cross-functional execution: coordinate Product, Engineering, Sales, Marketing, Finance, Legal, and Policy across the life of a partnership, from initial structuring through negotiation, launch, and ongoing governance, ensuring what we sign is something Anthropic can deliver
Minimum qualifications
Direct experience owning a large, multi-business partner relationship, where you were responsible for the whole relationship rather than a single deal or product line
Track record of structuring and closing product partnerships — embedding technology into partner products, co-developed products, distribution through partner surfaces, or similar — in addition to conventional commercial agreements
Experience personally leading complex, multi-stakeholder negotiations with senior executives, including deals with interlocking terms, competitive sensitivities, and multi-year commitments
Demonstrated ability to manage several significant negotiations at the same time without losing the thread on any of them
Experience coordinating cross-functional execution (e.g., Product, Engineering, Legal, Finance) to bring a complex agreement from structuring through signature and delivery
Preferred qualifications
10+ years in strategic business development, strategic partnerships, or corporate development at technology companies, with meaningful time spent managing relationships with very large technology partners
Experience on either side of a partnership between a foundation model or AI platform provider and a large technology company
Experience working inside one of the very large technology companies, with a practical understanding of how decisions get made, who holds budget and roadmap authority, and how to navigate them
Experience with partnerships that span both consumer and enterprise businesses, or that combine product, distribution, and infrastructure components in a single relationship
Understanding of foundation model capabilities and how they translate into partner products, with enough technical fluency to work credibly with product and engineering leaders on both sides
Background in corporate development, strategy, or a legal or finance discipline involving structuring and papering unusually complex agreements
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$300,000
—
$365,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Задачи:
— Проектировать и документировать ключевые игровые системы: прокачка героев, внутриигровая экономика, боевые механики, ивенты (GDD, схемы, User Flow, ТЗ для команды);
— Строить математические модели баланса характеристик и поддерживать баланс-таблицы в Excel / Google Sheets;
— Настраивать кривые сложности и прогрессии, проектировать игровые циклы и вовлекающие петли;
— Проектировать уровни и цепочки квестов;
— Прототипировать фичи в Unity (или Figma) и проводить внутренние плей-тесты;
— Проводить A/B-тесты ключевых элементов (баланс, награды, UI), анализировать метрики (Retention, ARPU, LTV) и корректировать системы по результатам;
— Балансировать live-контент: ивенты, сезоны;
— Тесно работать с артом, разработкой и аналитикой, улучшая продукт итеративно.
Требования:
— Игровой опыт 500+ часов (суммарно) в следующих играх: IdleOn, Revolution Idle, Melvor Idle, Idle Slayer, NGU IDLE, Unnamed Space Idle, Idle Clans, Idle Skilling, Idle Fishing.
— Уверенное использование AI-инструментов (ChatGPT/Claude и т.п.);
— Понимание метрик (ARPU, ARPPU, LTV, Retention) именно как данных для балансировки систем, а не как отчётности;
— Умение работать с баланс-таблицами и сложными формулами в Excel / Google Sheets;
— Навыки прототипирования в Unity или макетирования в Figma / Sketch;
— Аналитическое мышление: способность довести идею до формулы и проверить её на цифрах.
Будет плюсом:
— Опыт работы с Pixel Art-проектами: понимание ограничений стиля и умение формулировать ТЗ для художника.
Не рассматриваем:
— Без реального игрового опыта в idle — жанр не понять по описанию и разборам.
Условия:
— Полностью удалённо;
— График: с 12:00 до 21:00 МСК (1 час обед);
— Полная занятость: 5/2, 8 рабочих часов;
— Формат трудоустройства — самозанятость;
— Отсутствие бюрократии и отчётов — ориентируемся на эффективность;
— Нет строгой иерархии: если знаете, как сделать лучше — предлагайте и аргументируйте;
— Работа в небольшой команде с возможностью влиять на процессы.
ГибридSan Francisco Bay Area, USA; Manage highly complex calendars across multiple time zones and competing priorities; Team members are expected to work from our San Francisco office at least three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone
ГибридleadSan Francisco
seniorUnited States, Aliso Viejo, CA
ГибридNew York; San Francisco
Renton, Washington, United States
ГибридToronto, Ontario
ГибридSan Francisco, CA
ГибридSan Francisco
San Francisco, CA | New York City, NY | Seattle, WA
seniorMassachusetts - Remote
leadSan Francisco, CA | New York City, NY | Seattle, WA