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’re looking for a hands-on Accounting Manager to join our growing team and support our general ledger accounting function. You’ll help manage the month-end close, oversee reconciliations, and own key areas of our financial statements.
This role is ideal for someone who enjoys taking ownership, bringing structure to accounting processes, and partnering with a team in a fast-growing business.
Key Responsibilities
Month-End Close
- Own the monthly, quarterly, and annual close, including the close calendar, checklist, and timely, accurate delivery of results.
- Prepare and review journal entries, including accruals, prepaids, fixed assets, and payroll.
- Perform and review balance sheet reconciliations, and resolve variances promptly.
- Manage intercompany accounting and multi-currency activity across entities.
Financial Reporting
- Prepare monthly consolidated financial statements (balance sheet, income statement, cash flow) and flux analysis.
- Support management, board, and investor reporting.
Audit & Compliance
- Serve as a key point of contact for the annual financial statement audit, including PBC schedules and supporting documentation.
- Support tax filings and other compliance work with external advisors.
Process Improvement
- Shorten and streamline the close through automation, better tooling, and clear documentation.
- Contribute to finance systems improvements and implementations.
Requirements
- 7+ years of accounting experience, including public accounting and in-house experience at a high-growth or public company.
- CPA or equivalent preferred.
- Proven ownership of the month-end close, GL, and balance sheet reconciliations.
- Strong knowledge of U.S. GAAP and hands-on experience preparing financial statements.
- Experience supporting external audits.
- Proficiency with a modern ERP (e.g., NetSuite) and strong Excel/Google Sheets skills.
- Strong attention to detail, organization, and follow-through, with the ability to manage competing priorities.
- A collaborative, proactive approach and comfort working in a fast-paced environment where processes are still being built.
- Based in the San Francisco Bay Area or willing to relocate for a hybrid role.
Nice to Have
- Experience with multi-entity, multi-currency, and international operations.
- Exposure to SOX readiness or public-company reporting.
Compensation & Benefits
- We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth.
- Base Salary: The anticipated salary range for this role is $160,000-$200,000, depending on experience, skills, scope, and location.
- Bonus: This role is Bonus eligible and may participate in the Company's discretionary annual bonus program.
- Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield’s long-term growth.
- Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks.
- The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team.
- Significant ownership, direct impact, and opportunities for professional growth as the company scales.
This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office 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.
ГибридSan Francisco Bay Area, USA; Team members are expected to work from our San Francisco office 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
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU’LL DO
- Run the monthly and quarterly commission cycle, from pulling data and calculating commissions to validating payouts, getting approvals and handing off to payroll.
- Investigate rep questions, document what you find, recommend fixes, and clear issues quickly so reps trust their payouts.
- Work with Salesforce and data owners to keep source data clean, map new fields and deal types, and find upstream problems before they turn into payout errors.
- Reconcile and audit payouts against payroll, bookings and plan terms every cycle.
- Model the cost and payout impact of proposed plan changes and set up new plans in the system.
- Automate manual steps, tighten SLAs and build reporting on attainment, payout cost and comp effectiveness.
WHAT YOU’LL BRING
- 5+ years in sales compensation, commissions operations or a closely related finance/RevOps role.
- A track record of managing commission cycles across multiple regions, currencies, and payroll schedules, from data collection through payout validation, approvals, and payroll handoff.
- Strong analytical skills, including payout modeling, data reconciliation, and investigating discrepancies against compensation plan terms.
- Experience using Salesforce to pull and review sales data for commission calculations.
- Ability to configure sales compensation tools to calculate, validate, and report commission payouts.
- Clear, calm communication with sellers and leaders, including during difficult payout conversations.
EVEN BETTER…
- Familiarity with commission accounting, including accruals, journal entries, and month-end close.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU’LL DO
You'll own the operational backbone that connects what we sell to what we bill: turning executed contracts and agent usage into accurate bookings and reports, and turning the data behind both into critical insights the business acts on. This role sits at the center of the company’s business model and works across Sales, Finance, Legal, Pricing, GTM Systems, and Agent Development.
Own Order Management across the Customer Lifecycle
- Own the path from signature to booking: build, verify, and book quotes across the customer lifecycle, capturing all critical commercial terms
- Collaborate across GTM Operations, Finance, and Sales Compensation to ensure bookings flow accurately into all downstream systems and reporting
- Leverage and spearhead order management guides and best practices, influencing policies and processes as new terms and products emerge
Accelerate usage tracking and reporting
- Partner with Agent Development to set up, verify, and maintain outcome-based usage tracking across agents
- Run the monthly consumption reporting and billing cycle for our growing customer base, delivering key reports to the company and to the Customer
- Serve as the owner for usage questions from customers, Sales, and Agent Development
Support our Deal Operations and Velocity
- Draft, review, and execute order forms, working with our Pricing team to align on commercial negotiation, deal forecast, and downstream operability
- Partner with Sales, Legal, Pricing, and Finance across the deal lifecycle to execute deals cleanly and drive scalability over time
Build the Operational Machine with us
- Continuously identify repetitive processes across the order management lifecycle and collaborate across the Go-to-Market Operations team to automate and scale them
- Work with Revenue Operations and GTM systems to define billing processes and policies for new products and pricing models
- Ramp from running standard processes to owning complex and ambiguous scenarios
WHAT YOU’LL BRING
- 2–4 years in deal desk, order management, billing operations, or revenue operations at a B2B SaaS company
- Experience owning an operational booking and/or billing queue end-to-end with high accuracy against monthly deadlines
- Experience with CRMs (e.g., Salesforce) and a CPQ or billing system; comfortable reading a contract and translating terms into system fields
- Strong attention to detail and clear written communication skills to collaborate with Sales, Finance, Legal, and customers
- Ability to identify areas for improvement and build solutions using AI tooling
- Based in San Francisco and able to work in-office with the team
EVEN BETTER…
- Experience with usage-based billing (commitments, overages, credits, true-ups)
- Familiarity with Quoting and Contract Lifecycle Management tools
- SQL or spreadsheet modeling skills
- Exposure to sales compensation, revenue recognition, or partner and reseller billing
- Experience at a high-growth company where you helped stand up a process from scratch
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: Cyprus; Bulgaria; Poland; Russia; Dubai, United Arab Emirates; Georgia
Job Description (JD)
Job Title
Head of Analytics – Global Multi-Product Broker
Location
Limassol, Cyprus (Hybrid) or Remote (UTC−1 to UTC+4)
Reporting To
Chief Marketing Officer (CMO)
About the Role
We are seeking an experienced
Head of Analytics
to establish and lead our analytics function from the ground up. This is a unique opportunity to define the company's data strategy, build the analytics architecture, and create the foundations for data-driven decision-making across a rapidly growing multi-product brokerage business.
Operating across CFDs, cryptocurrency, proprietary trading, and prediction markets, the business has reached significant scale without a centralized analytics function. As the first Head of Analytics, you will have full ownership of building the data ecosystem, defining business metrics, implementing attribution models, and establishing analytics best practices that will shape the organization for years to come.
Key Responsibilities
Analytics Strategy & Leadership
Build and lead the company's first centralized analytics function.
Define the long-term analytics vision, roadmap, and operating model.
Establish data governance standards, metric definitions, and reporting frameworks.
Partner with executive leadership to enable data-driven strategic decisions.
Direct and mentor embedded analysts across multiple business functions.
Data Infrastructure & Architecture
Design and implement the end-to-end analytics technology stack.
Select and deploy data warehousing, transformation, visualization, and reporting solutions.
Build scalable analytics infrastructure to support multiple financial products.
Develop a canonical data model across the organization.
Ensure data quality, consistency, accessibility, and governance.
Marketing & Attribution Analytics
Design and implement multi-touch attribution across:
Paid Search
Paid Social
Affiliate Marketing
Mobile Acquisition
Partner Programs
Build unified customer journey tracking from first interaction through trading activity.
Deliver accurate ROI and customer acquisition insights across all marketing channels.
Establish standardized marketing performance metrics.
Business Intelligence & Performance Reporting
Develop real-time executive dashboards and KPI reporting.
Create a single source of truth for business-critical metrics.
Build reporting frameworks across CFDs, Crypto, Prop Trading, and Prediction Markets.
Translate complex analytical findings into actionable business recommendations.
Experimentation & Decision Science
Establish a company-wide hypothesis testing and experimentation framework.
Design and evaluate A/B tests and controlled experiments.
Ensure business decisions are supported by statistically sound analysis.
Champion a culture of evidence-based decision making.
Stakeholder Management
Collaborate closely with Marketing, Product, Technology, Operations, and Commercial teams.
Resolve cross-functional alignment on data definitions and reporting standards.
Present analytical insights to senior leadership and executive stakeholders.
Team Building
Lead, coach, and develop embedded analysts.
Design the future analytics team structure.
Recruit and onboard analytics talent aligned with company culture and business goals.
Key Deliverables (First 12 Months)
Months 1–6
Build the analytics infrastructure and technology stack.
Implement event tracking across all customer touchpoints.
Deploy centralized data warehouse and transformation pipelines.
Launch UUID-based attribution across all marketing channels.
Establish data governance framework and documentation.
Months 6–9
Develop and implement the organization's canonical data model.
Standardize definitions for key business entities and KPIs.
Align stakeholders around consistent business metrics.
Months 9–12
Deliver real-time KPI dashboards across all business lines.
Launch experimentation and hypothesis testing framework.
Enable marketing and product teams to make data-driven decisions.
Begin scaling the analytics organization through strategic hiring.
Requirements
Required Qualifications
Bachelor's degree in Analytics, Data Science, Computer Science, Mathematics, Statistics, Economics, Engineering, or a related field.
Master's degree is advantageous.
Experience Required
Significant experience in Analytics, Business Intelligence, or Data Leadership roles.
Experience building an analytics function from the ground up.
Strong background in financial services, brokerage, fintech, cryptocurrency, trading platforms, or similar digital businesses.
Demonstrated experience implementing multi-touch attribution models.
Proven success designing analytics architecture and selecting technology stacks.
Experience leading cross-functional analytics initiatives.
Experience managing or mentoring analytics professionals.
Technical Skills
Data Warehousing
ETL/ELT Architecture
SQL
Python or R
Business Intelligence tools (Power BI, Tableau, Looker, etc.)
Marketing Attribution Platforms
Event Tracking Frameworks
Data Modeling
Dashboard Development
Statistical Analysis
Experiment Design (A/B Testing)
Data Governance
Core Competencies
Strategic Thinking
Analytical Problem Solving
Leadership & Team Development
Stakeholder Management
Business Acumen
Communication & Influencing Skills
Decision Making
Change Management
Project Ownership
Innovation Mindset
Success Profile
The ideal candidate has:
Built multi-touch attribution across paid, organic, and partner marketing channels.
Designed analytics architecture from a greenfield environment.
Experience within CFD, crypto, brokerage, fintech, or adjacent financial services.
Successfully aligned stakeholders around standardized data definitions.
Driven experimentation and evidence-based decision-making.
Demonstrated confidence in challenging assumptions with data.
A builder mindset who views the absence of existing infrastructure as an opportunity.
Benefits
Why Join Us
Build the analytics function from the ground up with full ownership.
Define the company's data architecture, governance, and reporting standards.
Shape the future of analytics across multiple global trading products.
Influence executive decision-making at the highest level.
Build and lead a high-performing analytics team.
Opportunity to make a lasting impact on a fast-growing global organization.
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
Sierra’s Applied Research team advances the quality, speed, and cost efficiency of the models powering our agents across a wide range of tasks. Our work spans post-training open-weight models for specialized capabilities and pioneering new approaches to voice AI, turning research breakthroughs into reliable production systems.
WHAT YOU’LL DO
- Tackle unsolved applied AI and ML problems. Pushing the boundaries of post-training, voice AI, and long-horizon task execution, building agents that can reason, adapt, and reliably carry out complex tasks for customers.
- Determine when to build specialized models and when to use externally provided frontier intelligence, balancing quality, speed, and cost to deliver customer value.
- Turn ambiguous product and customer problems into well-framed machine learning problems.
- Develop, fine-tune, evaluate, and deploy models that improve Sierra’s customer-facing AI agents.
- Advance our post-training work, from supervised fine-tuning toward reinforcement learning and long-horizon optimization.
- Build rigorous evaluations that connect model performance to real-world agent quality.
- Work with large-scale, proprietary datasets spanning text and audio interactions.
- Collaborate across Sierra while taking ideas from experimentation through production deployment and customer impact.
WHAT YOU’LL BRING
- Strong experience building and deploying production machine learning and AI systems. We welcome backgrounds across applied ML, including search, ranking, recommendations, advertising, language, and speech.
- Excellent judgment in framing product problems as ML tasks and selecting the simplest & most effective approach.
- Experience working deeply with data, experimentation, evaluation, and model iteration.
- A practical, evidence-driven approach to ML, with strong judgement around when a problem calls for modeling and when a simpler solution will deliver the best outcome.
- The ability to operate with high agency and work across the stack when needed to deliver an outcome.
- Alignment with Sierra’s values, including Craftsmanship, Customer Obsession, and Competitive Intensity.
- A degree in computer science, machine learning, or a related field, or equivalent professional experience.
EVEN BETTER…
- Experience with supervised fine-tuning or reinforcement learning.
- Experience in search, ranking, recommendations, or advertising systems.
- Experience training and deploying language, speech, or multimodal models.
- Experience designing model evaluations tied to real-world product outcomes.
- Experience working with large-scale consumer datasets or high-volume ML products.
- Contributions to applied ML research or benchmarks.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
ABOUT THE ROLE
Sierra’s AI agents depend on foundation models to reason and act in real time. The Inference team builds the systems that make those models fast, reliable, and efficient at scale.
As a Software Engineer on Inference, you’ll help define Sierra’s inference architecture across both self-hosted models and third-party inference providers. You’ll work on the systems responsible for serving and routing inference, managing capacity and quota, and optimizing for latency, reliability, and cost.
This is a systems-first role at the intersection of distributed infrastructure and AI. You don’t need to be an ML researcher—we’re looking for engineers who love complex systems problems and are excited to apply that expertise to one of the fastest-moving areas of AI infrastructure.
WHAT YOU'LL DO
- Partner with frontier labs and providers. At our scale, we rely on frontier labs, and inference providers to supply capacity, training and inference infrastructure.
- Shape Sierra’s inference architecture. Design how inference traffic flows across models, infrastructure, and providers, including new serving and proxy layers as Sierra scales.
- Build for low latency and high reliability. Develop systems for routing, failover, capacity management, and quota that keep inference performant and available across large-scale production workloads.
- Build and operate self-hosted inference. Run models on GPU infrastructure, from building containers and operating inference engines to managing the underlying compute capacity.
- Optimize inference performance. Work with the Applied Research team on techniques such as speculative decoding and serving-engine optimizations that improve latency, throughput, and cost.
- Build across a hybrid inference stack. Work with both Sierra-managed infrastructure and leading inference platforms, making architectural decisions about where and how workloads should run.
- Push the serving stack forward. Work closely with inference providers to tune engines and infrastructure for Sierra’s workloads.
- Support the broader model lifecycle. Contribute to infrastructure that enables post-training while partnering closely with our Models and Agent Runtime teams.
WHAT YOU'LL BRING
- Deep systems thinking and strong distributed systems fundamentals.
- Experience designing, building, and operating large-scale production systems.
- Strong judgment around tradeoffs involving latency, reliability, capacity, and cost.
- Experience taking ownership of complex infrastructure from architecture through production operation.
- Excitement about applying systems expertise to AI infrastructure and learning quickly as the underlying technology evolves.
EVEN BETTER
- Experience with ML infrastructure, MLOps, or production inference systems.
- Experience serving LLMs or other large models at scale.
- Experience operating self-hosted inference and GPU infrastructure.
- Familiarity with inference frameworks such as vLLM or SGLang.
- Experience with post-training infrastructure or inference-performance optimization.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: San Francisco; Toronto; New York; Montreal; Seattle
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 distributed systems engineers and product-minded generalists to build the distributed runtime that powers large-scale LLM inference on Baseten. Our inference platform empowers customers to deploy and operate cutting-edge models with industry-leading performance, scalability, and reliability. It also powers Model APIs, our hosted endpoints for the latest open-source models. You'll work across the stack, from the developer experience customers use to deploy models, through the libraries behind features like tool calling and reasoning, down to the systems that orchestrate deployments on Kubernetes and route traffic efficiently. Your job is to make sure every model on our platform is fast, reliable, and cost-efficient. You'll join a small, high-impact team at the intersection of distributed systems, model performance, infrastructure, and product, helping define how developers use AI models at scale. This role is ideal for engineers who enjoy owning systems in production, solving hard integration problems, and making complex infrastructure simple and reliable for users.
EXAMPLE INITIATIVES
You'll get to work on these types of projects on our Inference Platform:
- The Baseten Inference Stack at NVIDIA Dynamo Day https://www.baseten.co/blog/nvidia-dynamo-day-baseten-inference-stack/
- 2x faster inference with KV cache-aware routing https://www.baseten.co/blog/how-baseten-achieved-2x-faster-inference-with-nvidia-dynamo/
- How Baseten multi-cloud capacity management (MCM) unifies deployments https://www.baseten.co/blog/how-baseten-multi-cloud-capacity-management-mcm-powers-cloud-self-hosted-and-hybr/#comparing-deployment-options-cloud-vs-self-hosted-vs-hybrid
RESPONSIBILITIES
- Build the infrastructure and orchestration systems that deploy and run large-scale distributed LLM inference, including routing, autoscaling, scheduling, and runtime management.
- Design, build, and operate Model APIs, with a focus on advanced inference capabilities: structured outputs (JSON mode, grammar-constrained generation), tool/function calling, and multimodal serving.
- Implement platform fundamentals such as API versioning, validation, usage metering, quotas, and authentication.
- Instrument deep observability (metrics, traces, logs) and build repeatable benchmarks for speed, reliability, and quality. Help set best practices for testing, release automation, and operational excellence.
- Debug and harden complex production systems spanning Kubernetes, distributed runtimes, networking, and GPU workloads to improve reliability and scalability.
- Partner with Inference Performance engineers and other teams to make new optimizations broadly available to customers and easy to configure.
- Own projects end to end, from architecture through deployment, monitoring, and iteration on customer feedback. Along the way, make thoughtful tradeoffs between performance, reliability, operational simplicity, and developer experience.
REQUIREMENTS
- Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 3+ years building and operating distributed systems, backend infrastructure, or large-scale APIs where reliability, latency, and scale are first-class concerns.
- A proven track record of owning low-latency, reliable backend services, including rate limiting, auth, quotas, metering, and migrations.
- Infrastructure instincts with a feel for performance: profiling, tracing, capacity planning, and SLO management.
- Comfort debugging performance and reliability issues across multiple layers of the stack, from application behavior down to runtime and infrastructure internals.
- A strong sense of developer experience. You think about how systems are used, not just how they work.
- Eagerness to learn new languages, frameworks, and systems, and a real interest in inference engineering. Prior ML or LLM experience isn't required, though experience with model serving or inference systems is a plus.
- Excellent written communication and collaboration skills, including writing clear design docs and working across functions.
NICE TO HAVE
- Experience with or contributions to LLM inference engines and frameworks such as vLLM, SGLang, TensorRT-LLM, TGI, or Dynamo.
- Deep Kubernetes experience, including operators and custom resources, plus familiarity with service meshes or API gateways.
- Experience with distributed scheduling, autoscaling, or service orchestration.
- Experience operating GPU workloads in production.
- A background in developer-facing infrastructure or APIs, or contributions to open-source infrastructure or ML systems.
- Familiarity with observability tooling, CI/CD systems, or release automation.
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: San Francisco; Toronto; New York; Montreal; Seattle
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 inference performance engineers who want to make the world's most demanding AI workloads run faster and more efficiently. You'll work across the stack, from the inference engine and runtime through scheduling, serving, and routing. Along the way you'll apply techniques like prefill/decode disaggregation, speculative decoding, and KV-cache management. You'll reason from first principles about where time and memory go, find what's holding performance back, and close the gap. Your work directly impacts how fast our customers' models run and how efficiently we serve them. This role is ideal for someone who thrives in a fast-paced startup environment and is eager to make significant contributions to the exciting field of LLM inference.
EXAMPLE INITIATIVES
You'll get to work on these types of projects as an Inference Performance engineer:
- Agentic Kernels in Production https://www.baseten.co/blog/agentic-kernels-in-production/
- How we built the new fastest API for GLM-5.2 https://www.baseten.co/blog/how-we-built-the-new-fastest-api-for-glm-52/
- Live draft model training for speculative decoding https://www.baseten.co/blog/live-draft-model-training-for-speculative-decoding/#eliminating-traditional-bottlenecks
- Making Kimi K3 Tokenization 18x faster https://www.baseten.co/blog/making-kimi-k3-tokenization-18x-faster-for-million-token-agentic-workloads/
- The Baseten Inference Stack https://www.baseten.co/resources/guide/the-baseten-inference-stack/
- Driving model performance optimization https://www.baseten.co/blog/driving-model-performance-optimization-2024-highlights/
RESPONSIBILITIES
- Implement and productionize cutting-edge inference techniques, working deep in runtime internals. That includes quantization, speculative decoding, KV-cache reuse, chunked prefill, LoRA, guided generation for structured outputs, and custom scheduling and routing algorithms.
- Profile and optimize inference end to end, from kernel launch overhead and memory layout up to request scheduling, prefill/decode disaggregation, and cache-aware routing. Run cross-layer investigations, such as tracing a tail-latency regression from request timing through routing and batching down to a kernel.
- Turn performance into cost savings. Improve tokens per GPU-hour, raise utilization, and give customers and internal teams clear latency/throughput/cost tradeoffs.
- Bring up and tune new model architectures on new hardware quickly, often in the same week they're released.
- Build benchmarking frameworks that measure real-world performance across model architectures, batch sizes, sequence lengths, and hardware configurations.
- Contribute upstream to open-source inference engines (vLLM, SGLang, TensorRT-LLM), and partner closely with model, infrastructure, and customer-facing teams to ship wins.
REQUIREMENTS
- Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field.
- Experience with one or more general-purpose programming languages, such as Python or C++.
- Familiarity with LLM optimization techniques (e.g., quantization, speculative decoding, continuous batching).
- Strong familiarity with ML libraries, especially PyTorch, TensorRT, or TensorRT-LLM.
- Demonstrated interest and experience in LLMs.
- Deep understanding of GPU architecture.
NICE TO HAVE
- Proficiency in enhancing the performance of software systems, particularly in the context of large language models (LLMs)
- Contributed to vLLM, SGLang, TensorRT-LLM, or another inference engine.
- Worked on large-scale distributed serving: autoscaling, load balancing, multi-region or multi-cloud capacity.
- Written or optimized GPU kernels (CUDA, Triton, CUTLASS, or similar)
- Worked on quantization (FP8/FP4, AWQ, GPTQ) or speculative decoding in production.
- Deep understanding of software engineering principles and a proven track record of developing and deploying AI/ML inference solutions.
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.
At Wizards of the Coast, we connect people globally through play and imagination. From our genre-defining games like Magic: The Gathering® and Dungeons & Dragons® to our growing multiverse, we continue to innovate and build new ways to foster friendship and connection. That’s where you come in!
The
Director of Partnerships & Program Management, Magic Franchise
, will play a key role in bringing Magic’s partnerships to life and developing the emerging initiatives that advance the franchise into new areas, such as entertainment. This role will focus on:
Leading and developing the Partner Program Management team, the connective tissue between the Magic ecosystem with our Universes Beyond partners, and
Managing a portfolio of multi-year, cross-functional initiatives that capitalize on new opportunities for Magic and help set the path for our most ambitious releases.
You will be responsible for the daily execution of established programs and for exploring what comes next. Operating at the intersection of partnership, product, and creative, you will work effectively within a complex, matrixed organization. You will handle emerging issues outside regular processes and lead through influence, collaboration, and partnership.
What You’ll Do:
Lead the Magic Franchise Program Management Team: Support your Partner Program Managers through resolving critical issues, ensuring final delivery, and growing partner engagement throughout the Magic ecosystem. You will establish the team’s rhythm, clear day-to-day obstacles, and anticipate and manage the expectations of internal and external collaborators and customers.
Develop the Craft & Team: Establish the best practices that scale the team’s impact, and coach and mentor Partner Program Managers into well-rounded, cross-functional leaders.
Drive Emerging Franchise Initiatives: Manage a portfolio of principal-level initiatives that build Magic’s future. You will assess and help craft pitches for new Universes Beyond sets. You will also assemble and lead cross-functional teams to bring new ideas and special projects to life.
Be the Partner Expert. Serve as the primary partner specialist within Wizards of the Coast, coaching teams on effective partner engagement and communication, while advancing the Magic franchise goals with partners.
What You’ll Bring:
A proven program management leader with a track record of succeeding in ambiguity and operating effectively within complex, matrixed organizations. Effective escalation management and problem-solving skills, with the judgment to resolve challenges.
A demonstrated ability to coach, mentor, and lead senior program managers. A track record of building high-performing teams through operational efficiency and best practices
Strategic vision to identify and build new opportunities, paired with the creative and editorial judgment to evaluate pitches.
Outstanding relationship-building and influencing abilities, including the capacity to advance an agenda through informal channels and maintain strong connections across partner studios.
Extensive knowledge of the Magic ecosystem and partner programs, along with the insights to identify and grow partner engagement.
Excellent verbal, written, and presentation skills, including the ability to deliver clear and concise instructions and feedback to partners.
Ability to curate and interpret data from multiple sources, synthesize a compelling story, and develop actionable recommendations.
Passion for play and a desire to take on increased responsibilities over time.
BA/BS or equivalent experience preferred.
The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package.
Pay Range
$189,400
—
$295,900 USD
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: Canada; United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
THE ROLE
The Products Team at Docker is looking for a Principal Product Manager to lead components of Docker Sandboxes. You will own and drive this strategic product area from high-level concept design through delivery, adoption, and operation. You will help shape how developers and AI agents use fast, secure, isolated environments across local and cloud workflows. You will work closely with developers inside and outside of Docker, our customers, and our partners to expand our open ecosystem offering and provide value. As the company and ecosystem grow, you will help foster teams eager to continuously build, measure, and learn.
To thrive in this role, you will need experience working with developers, deep technical fluency in systems and developer infrastructure, and prior experience as a software engineer. You will need to understand containers, sandboxes/microVMs, virtualization technologies, hypervisors, the software development lifecycle, and how untrusted or agent-generated code can be safely executed and orchestrated. You will need a relentless drive to try new things and an eye for detail. Your long-term success will depend on your ability to own the product roadmap, earn the trust of the developer community, and scale reliable services. Most importantly, you will need to be comfortable taking ownership of big objectives with big goals, working with a cross-functional team, and maintaining a bias for action.
_______________________________________________________________________
RESPONSIBILITIES
- You own Docker Sandboxes, its long-term vision, roadmap, revenue, adoption, and results.
- You believe in and can succinctly articulate our customers, their workflows, and their pain points. You empathize with the world they live in and the security, performance, compatibility, and cost constraints they work through.
- You will engage deeply with developers building AI agents, coding environments, CI and testing systems, and other workloads that require secure, isolated execution, finding solutions for today while optimizing for tomorrow's vision.
- You enjoy building infrastructure products that are easy to adopt and use. You will turn complex tradeoffs across isolation, startup time, performance, density, networking, storage, and cost into simple product experiences.
- You are comfortable with ambiguity and will guide product definition, feature prioritization, and scope in concert with engineering, design, security, operations, and go-to-market teams.
- You are a fan of iterative development, working with customers and cross-functional teams to hypothesize, measure adoption and impact, learn from releases, and continually improve the roadmap.
_______________________________________________________________________
QUALIFICATIONS
- You have deep empathy for the needs of developers and are obsessed with talking to your users.
- You have prior professional experience as a software engineer, ideally in systems, infrastructure, platform engineering, developer tools, or cloud.
- You have strong technical familiarity with sandboxes/microVMs, containers, virtualization technologies, and hypervisors, including the isolation and security boundaries each provides.
- You understand the building blocks of modern developer infrastructure, including Linux, container runtimes, orchestration, networking, storage, APIs, and cloud services.
- You have experience designing, building, or operating systems that execute customer-provided, untrusted, or agent-generated code at scale.
- You are comfortable interacting with a command-line interface and discussing APIs, SDKs, and technical architecture with engineers and developers.
- You have experience building B2B or SaaS products, or a background in public cloud and developer infrastructure.
- You understand software supply chain and software security concerns, including multi-tenant isolation, identity, secrets management, observability, and reliability.
- You can break down complex technical problems into small, releasable, user-valuable features.
- You can explain complex ideas simply and communicate effectively in writing, verbally, and visually across diverse stakeholders.
- You can analyze qualitative and quantitative data to inform decisions, define success metrics, and prioritize investments.
- You have a collaborative approach, experience running products from greenfield to scale, and the ability to work with fast-moving, distributed, cross-functional teams. You are a doer as well as a strategist; we are small and need all hands on deck.
_______________________________________________________________________
WHAT TO EXPECT
FIRST 30 DAYS
- Get to know Docker: our vision, mission, and values.
- Understand the Docker Sandboxes team's mission, product strategy, and technical architecture.
- Meet the team along with peers across the business unit and company.
- Work closely with designers, researchers, engineers, security partners, and customers to understand user needs and current pain points.
- Work with your manager and team to review and create quarterly goals.
- Understand the product roadmap, key technical and business tradeoffs, and the data available to make data-driven decisions.
FIRST 90 DAYS
- Understand the company's and business unit's product vision and how Docker Sandboxes contributes to it.
- Provide clarity on product vision, target users, priority use cases, and how the team contributes to the overall success of Docker.
- Develop a deep understanding of our developers and customers, how they use isolated environments, and why they choose Docker.
- Shape the team roadmap and product strategy in close collaboration with design, engineering, security, and go-to-market peers.
- Lead the definition of team OKRs and success metrics for the quarter, and provide clear progress reports.
ONE YEAR OUTLOOK
- Lead product initiatives across cross-functional teams that make secure, isolated execution simple and valuable for developers and AI agents.
- Drive the long-term direction of Docker Sandboxes, including improvements to adoption, ecosystem integration, reliability, scale, unit economics, and ARR.
Visa sponsorship: Not available for this role.
_______________________________________________________________________
COMPENSATION & EQUITY
All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.
Canada CA$255,500 - CA$365,000 base
United States: $280,000 – $300,000 base
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: White Plains, NY
Legal Assistant
At Rectangle Health, we believe that our team members are our most important asset. We grow our team by hiring best-in-class talent. We encourage all employees to contribute their individual talents and ideas to strengthen our team, our brand, and our services. We promote a culture that serves to empower and motivate employees beyond the standard corporate rhetoric one might see on motivational posters. Employees understand their individual roles in serving our customers, and this clarity of purpose encourages high job performance.
Position Overview
We are seeking a highly organized, detail-oriented and proactive
Legal Assistant
to join the Legal Department at Rectangle Health, a privately held corporation in White Plains, New York. This is a full-time, on-site position will support the Company's legal, regulatory, corporate governance, compliance, and contracting activities.
The Legal Assistant will provide administrative and substantive support to the Legal Department and will work with confidential and commercially sensitive information. The successful candidate will have a successful track record handling confidential and sensitive information with appropriate discretion, a high attention to detail, be proactive, be able to manage short timelines sometimes, manage multiple priorities, and interact professionally with employees at all levels of the organization as well as outside counsel and other third parties.
This position is well suited for an individual who takes pride in confidentiality, accuracy, responsiveness, and organization.
Key Responsibilities
Legal Department Support
Provide day-to-day support to the Legal Department.
Prepare, format, proofread and revise letters, agreements, memoranda, presentations and other legal and business documents.
Coordinate execution and distribution of contracts and other legal documents, including electronic signatures.
Maintain organized electronic legal files and records and ensure that final executed agreements are appropriately stored.
Maintain Legal Department calendars, deadlines and other important dates.
Schedule meetings and coordinate with internal business teams, outside counsel and other third parties.
Contracts and Corporate Records
Assist with the administration and organization of customer, vendor and other commercial agreements.
Track agreements through review, approval, signature and final storage.
Maintain contract records and assist with tracking expiration, renewal and notice dates.
Assist with preparation and maintenance of corporate records, organizational documents and other governance materials.
Coordinate signatures, notarizations, certifications and document requests as necessary.
Corporate Governance and Compliance
Assist with the preparation and organization of materials for Board and committee meetings.
Maintain corporate governance files, including Board materials.
Assist the Legal Department with compliance projects, internal policies and recordkeeping.
Help coordinate responses to requests for corporate and legal documentation.
Support periodic Legal Department projects, audits and information requests.
General Administrative Responsibilities
Maintain an organized and efficient filing and document-management system.
Coordinate meetings, conference calls and departmental activities.
Assist with preparation of reports, spreadsheets and presentations.
Communicate professionally with employees, executives, outside counsel, vendors and other external parties.
Identify opportunities to improve Legal Department administrative processes and organization.
Perform other duties and special projects as assigned.
Qualifications
Required
Minimum of
5 years of legal assistant, paralegal or comparable professional legal experience
.
Excellent organizational skills and exceptional attention to detail.
Strong written and verbal communication skills.
Demonstrated ability to manage multiple assignments and deadlines simultaneously.
Strong proofreading, document formatting and file-management skills.
Proficiency in Microsoft Word, Outlook, Excel and PowerPoint.
Ability to exercise sound judgment and maintain strict confidentiality.
Professional demeanor and ability to communicate effectively with senior executives and other employees.
Ability to work independently while functioning effectively as part of a collaborative Legal Department.
Ability to work
on-site in White Plains, New York, five days per week
.
Preferred
Prior experience working in an in-house corporate legal department.
Compensation & Benefit Profile:
$70,000 - 75,000 annual total compensation (commensurate with experience)
Competitive Medical Health Plans, Low, Mid, High.
Employer Paid
Low Medical Plan for Employee & Dependents (HSA Eligible)
Employer Paid
Dental & Vision for Employee
Employer Paid
Life Insurance for Employee
Employer Paid
Long-term Disability
for Employee
Employer Paid
Hospital Confinement for Employee ~ (If enrolled in Medical)
+ Voluntary Supplemental Insurance Coverage Options
15 days PTO &
7 Sick Days Annually
10 Fixed Paid Holidays Off Annually
401(k) Matching up to 3%
About Us:
Rectangle Health, a leading financial technology company, empowers medical, dental and specialty practices with seamless and secure technology to drive revenue by increasing patient payments and streamlining practice management and payment processing. Since 1992, the company’s innovative solutions have reduced administrative burden and rebalanced the ledger for its thousands of healthcare providers in the U.S., reliably processing billions of dollars in payments annually.
View our CCPA disclosure notice here
Location: Foster City, CA
Workplace: Hybrid
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.
ABOUT THE ROLE
We're looking for a Security Engineer with deep incident response experience to help defend Replit, a fast-moving, cloud-native AI vibe-coding platform. You'll be the person who takes charge when something goes wrong. You'll lead investigations from first signal to root cause, coordinate containment across Security, SRE, and Engineering, and keep stakeholders informed while the incident is moving fast.
This isn't a pure responder role. We want a well-rounded security engineer who has run real incidents and wants to make the next one faster. You'll write the scripts, automations, and tooling that take manual work out of triage, evidence collection, and containment. You'll also turn lessons from each incident into better detections, playbooks, and platform hardening.
RESPONSIBILITIES
Incident Response
- Serve as incident commander or technical lead for security incidents, from detection and triage through containment, eradication, recovery, and post-incident review.
- Coordinate response across Security, SRE, Engineering, Legal, and leadership. Drive decisions under pressure and keep a clear record of actions taken.
- Communicate incident status, impact, and risk clearly to technical and executive audiences.
- Participate in and help shape the security on-call rotation.
Investigation & Forensics
- Investigate suspicious activity across cloud infrastructure, containers, identity systems, and application layers using SIEM, Cloud Logging, telemetry, and host and container artifacts.
- Determine scope, root cause, attacker behavior, and blast radius for confirmed incidents.
- Quickly assess whether emerging threats (0-days, active exploitation campaigns, bug bounty findings, customer reports) apply to Replit, and whether we're already affected.
IR Automation & Tooling
- Build scripts, automations, and tools (Python, Go, Bash, or directly on Replit) that speed up response, such as automated enrichment, evidence collection, credential and session revocation, workload isolation, and alert triage.
- Develop and maintain response playbooks and runbooks, and automate them where possible.
- Integrate response workflows with SIEM, SOAR, ticketing, and chat tooling to cut time-to-contain.
Detection & Continuous Improvement
- Turn incident findings into new or improved detections, logging coverage, and visibility.
- Lead blameless post-incident reviews and drive remediation items to completion.
- Run tabletop exercises and simulations to test readiness and find gaps.
REQUIRED SKILLS & EXPERIENCE
- Proven experience leading or serving as technical lead on security incidents in a cloud or SaaS environment.
- Strong hands-on investigation skills with SIEM, cloud audit logs, and log-based analysis. Comfortable working through large datasets under time pressure.
- Proficiency writing production-quality scripts or tools in Python, Go, or Bash for investigation and automation.
- Solid knowledge of cloud architecture and security, especially Google Cloud Platform (IAM, audit logging, GKE, networking).
- Working knowledge of Kubernetes and containers, including how to investigate and contain compromised workloads.
- Understanding of identity systems, SaaS architectures, and common cloud attack paths (credential theft, privilege escalation, supply chain, token abuse).
- Familiarity with software engineering fundamentals, CI/CD pipelines, and package ecosystems, so you can work effectively with Engineering on code-level fixes.
- Understanding of IR frameworks and lifecycle (for example NIST 800-61), plus the vulnerability lifecycle and exploitability analysis.
PREFERRED QUALIFICATIONS
- Experience building or operating SOAR or other response automation platforms.
- Digital forensics experience with cloud, Linux hosts, or containers.
- Experience with threat intelligence, threat hunting, or security research.
- Experience with bug bounty programs or coordinated vulnerability disclosure.
- Familiarity with detection-as-code practices and writing detection rules.
- Experience in fast-paced, cloud-native, or AI/ML-driven environments.
- Relevant certifications (such as GCIH, GCFA, GCFR), or equivalent hands-on experience.
WHAT WE VALUE
- Curiosity & initiative: Strong desire to understand attacker behaviors, emerging threats, and how they apply to real-world systems.
- Speed & analytical rigor: Ability to quickly assess high-risk vulnerabilities with clear, evidence-based reasoning.
- Collaboration: Comfort working across cross-functional teams spanning Security, SRE, Engineering, and Infrastructure.
- Clear communication: Ability to explain findings, risks, and mitigation strategies to stakeholders at all levels.
- Ownership mindset: Takes initiative to drive investigations, improvements, and remediations to completion.
- Continuous learning: Passion for staying up to date on new vulnerabilities, exploit trends, and cloud-native security best practices.
Full-Time Employee Benefits Include:
💰 Competitive Salary & Equity
💹 401(k) Program with a 4% match (US Only)
⚕️ Health, Dental, Vision and Life Insurance
🩼 Short Term and Long Term Disability
🚼 Paid Parental, Medical, Caregiver Leave
🏝 Flexible Time Off (FTO) + Holidays
🚗 Commuter Benefits (In-Office & US Only)
📱 Monthly Wellness Stipend
🧑💻 Autonomous Work Environment
🖥 In Office Set-Up Reimbursement (In-Office Only)
🚀 Quarterly Team Gatherings
☕ In Office Amenities (In-Office Only)
Want to learn more about what we are up to?
- Self-driving Company https://replit.com/blog/self-driving-company
- Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale
- AI Adoption https://replit.com/blog/ai-adoption
- Build Open-Source Apps https://replit.com/build/open-source-app-builder
Interviewing + Culture at Replit
- Operating Principles https://blog.replit.com/operating-principles
- Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit
To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.
Location: San Francisco, CA • New York, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
The Figma Research team is hiring an experienced researcher to support our core product, Figma Design, and actively shape and execute research to drive scale, tap new opportunities, and ensure Figma continues pushing innovation in design and production tooling. Partnering with Product, Design, and Engineering, you'll bring a deep passion for research and strategy, pushing the envelope with AI-led experiences and laddering key user needs to critical product decisions — tackling our highest impact problems and influencing company strategy for both the short- and long-term.
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What you'll do at Figma:
Help Figma grow and innovate by delivering strategic research and recommendations and materially influencing the vision and strategy for Figma Design
Partner closely with product leaders to identify opportunities, generate strategy, and define success
Break down complex business challenges into clear research plans; own the end to end research process and leverage strong storytelling skills to deliver meaningful impact to Figma's businesses
Translate research insights into a compelling narrative that shapes product roadmap priorities
Advocate for the role of Research as a strategic partner in the business process
We'd love to hear from you if you have:
7+ years of experience in UX research or user insights at a high growth B2B SaaS company
Expertise in utilizing a variety of research methodologies, including both qualitative and quantitative techniques, to address product challenges spanning from opportunity identification, concept testing, to feature iterations — including research on AI-powered features or products exploring AI applications
Demonstrated success in identifying assumptions that underpin key challenges, prioritizing the most critical assumptions, and creating right sized research approaches to test those critical assumptions
A proven track record of gaining buy in from executive stakeholders and cross disciplinary partners, transcending mere research mechanics and findings to articulate a larger user story, and the "so what" to inspire action
Ability to balance speed, rigor, and competing inputs — pivoting direction, weighing user research, strategy, business insights, and team input in decision-making, and seeking solutions in creative ways
While it's not required, it's an added plus if you also have:
2+ years in product design, user centric product management, product development, and/or front end engineering
A familiarity and depth of experience using Figma's products
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$169,000
—
$250,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: Los Angeles, CA
Workplace: onsite
About Spin.AI
Spin.AI is a global SaaS security company based in Palo Alto, CA, protecting enterprises from SaaS ransomware, Shadow IT, non-compliance, data loss, and data leak disasters in the cloud.
SpinOne is an all-in-one SaaS data protection platform built for mission-critical applications such as Google Workspace, Microsoft 365, Salesforce, Slack, and Atlassian. We deliver the most innovative last line of cyber defense, along with SaaS data management and protection, for more than 2,000 organizations worldwide. Learn more at https://spin.ai/
About the Role
We are looking for a hungry, energetic Partner Manager to join our growing security team. Reporting directly to our VP of Sales, this role will focus on building Spin.ai's partner network - initially focusing on the Google Workspace partner ecosystem, then growing into security-specific partnerships. You will help sell Spin.ai's recently acquired industry leader in Google Workspace Security, DoControl, as well as Spin.ai's growing Browser Security solution, combining the two into a powerful, best-of-breed security offering. With the foundation already built - working with leading GWS partners such as SADA, Pythian, and Wursta - we're looking for someone who can take over the running motion and, most importantly, push it to the next level with their knowledge and expertise.
What You'll Do:
Partner Sourcing
Identify net-new Google Workspace and security resellers to work with, and book intro meetings to communicate joint value
Attend local and global events to grow and maintain relationships, representing
Spin.ai
as a leading Google Workspace DLP and Browser Security solution
Work with the VP of Sales and Account Executives to schedule initial account-mapping sessions and start driving joint pipeline
Complete and sign relevant reseller agreements, and negotiate and confirm margins
Partner Deal Sourcing
Work with the partner sales team and
Spin.ai
's sales team to build joint pipeline - this includes writing emails for partner reps to send to their customers, following up on those threads, and creating slides for their recurring customer calls
Enable the partner sales team to effectively position and sell
Spin.ai
security solutions through weekly 1:1 account mappings and the materials listed above
Stay involved as needed from deal sourcing through closed-won to ensure strong engagement from both sides and a successful outcome for all parties
Partner Relationship Management
Partnerships are a relationship game - maintain key relationships across all major partners to keep
Spin.ai
top of mind and seen as a trusted partner
This includes weekly 1:1s with key reps, traveling for lunches, dinners, and events, and staying in regular, informal contact (text)
Market Expertise
Maintain deep knowledge of the Google Workspace DLP and Browser Security space
Understand Spin.ai's differentiators and know every competitor inside and out
Fluently pitch the combined DLP + Browser Security solution, with the ability to sell each individually or jointly as needed
Ask the right discovery questions to effectively communicate joint value in partner intro meetings
What You Bring:
Google Workspace Partner Experience:
3+ years of experience successfully working and selling within the Google Workspace partner ecosystem (SADA, 66degrees, Pythian, etc.)
Domain Knowledge:
Strong understanding of DLP and Browser Security
Security Partner Experience:
Google Workspace is the primary focus, but you also have the drive and ability to grow into building security-specific partnerships (Optiv, etc.)
Positive Attitude:
A mindset focused on positivity and finding ways to do more, every day
Grit and Drive:
Willingness to get hands-on, go above and beyond, leverage internal resources, and do what it takes to drive success for yourself and your prospects
What We Offer:
$300k OTE plus Uncapped Commissions
Unlimited PTO
Hybrid Office Model
Paid Holidays
Premium health, dental, vision, and life insurance, 100% covered by the company
401(k)
Employee Wellness Program
Why Spin.AI?
Inc. 5000 list for 2026! 🚀
Overall Ranking: #3,309
Industry Ranking: #107
Metro Ranking: #114
State Ranking: #463
Forbes Named Spin.AI One of America's Best Startup Employers
THREE
Years in a Row (2024- 2026)
Work in a fast-moving, high-impact cybersecurity company recognized by
Gartner, Forrester, and G2
.
Collaborative, transparent culture – your ideas and experiments matter.
Direct impact: your work translates into real business growth and visibility.
Growth opportunities and performance-based rewards.
Why join Spin.AI?
This is an incredible opportunity to join a fast-paced team with high growth potential to become a new unicorn or decacorn within the next few years.
Dream team of highly motivated and talented people, ambitious goals and challenges that require high analytical, management and communication skills.
EEO Statement
Equal Opportunity Employer
Spin.AI is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.
View The EEO is the Law poster and its supplement.
Disability Accommodation
For individuals with disabilities that need additional assistance at any point in the application and interview process, please contact our HR Manager, Shushan Akopian via shushan@spin.ai.
Location: Los Angeles, CA
Workplace: onsite
About Spin.AI
Spin.AI is a global SaaS security company based in Palo Alto, CA, protecting enterprises from SaaS ransomware, Shadow IT, non-compliance, data loss, and data leak disasters in the cloud.
SpinOne is an all-in-one SaaS data protection platform built for mission-critical applications such as Google Workspace, Microsoft 365, Salesforce, Slack, and Atlassian. We deliver the most innovative last line of cyber defense, along with SaaS data management and protection, for more than 2,000 organizations worldwide. Learn more at https://spin.ai/
About the Role
We are looking for a hungry, energetic Regional Sales Manager to join our growing security team. Reporting directly to our VP of Sales, this role will focus on selling Spin.ai's industry-leading Browser Security solution - a fast-growing market - as well as its recently acquired, best-of-breed SaaS DLP solution, DoControl. This role centers on cutting-edge security, combining top-tier SaaS-level DLP and Browser Security capabilities into a solution no other vendor in the market is able to match. This is a net-new-logo role focused on the Mid-Market/Enterprise space, with an average deal size of $100,000.
What You'll Do:
Pipeline Creation
Work with the VP of Sales and Partner Manager to source deals through our growing partner network - Optiv, Defy, and others
Build market awareness by attending trade shows, building relationships, and following up relentlessly
Partner with Marketing and the SDR team on strategic, focused outbound and inbound management efforts
Deal Management
Drive deals from sourcing to closed-won, including discovery, demos, and Proof-of-Value (POV) execution, negotiations, and procurement
Multi-thread accounts and build relationships from the executive level down to ensure deal alignment and success
Partner with the Principal Solutions Engineer to deliver effective, relevant demos and POVs
Align internal teams as needed to support account success - product requests, financial approvals, etc.
Market Expertise
Maintain deep knowledge of the Browser Security and DLP space
Understand Spin.ai's differentiators and know every competitor inside and out
Fluently pitch the combined Browser + DLP solution, with the ability to sell each individually or jointly as needed
Ask the right discovery questions to uncover each prospect's real challenge
Partner with Product to provide feedback on where we can continue to improve and enhance the solution
Keep Salesforce up to date and maintain a clean, accurate forecast, fulfilling MEDDPICC requirements to ensure each deal is properly qualified, with gaps identified and resolution paths in place
What You Bring:
Cybersecurity Experience:
A proven track record successfully selling enterprise deals ($100K+) for 3+ years, with consistent quota attainment
Domain Knowledge:
Strong understanding of the Browser Security and DLP space, ideally with experience selling similar products
Partner Experience:
A track record of selling with and through channel partners in the cybersecurity space
Positive Attitude:
A mindset focused on positivity and finding ways to do more, every day
Grit and Drive:
Willingness to get hands-on, go above and beyond, leverage internal resources, and do what it takes to drive success for yourself and your prospects
What We Offer:
$300k OTE plus Uncapped Commissions
Unlimited PTO
Hybrid Office Model
Paid Holidays
Premium health, dental, vision, and life insurance, 100% covered by the company
401(k)
Employee Wellness Program
Why Spin.AI:
Inc. 5000 list for 2026! 🚀
Overall Ranking: #3,309
Industry Ranking: #107
Metro Ranking: #114
State Ranking: #463
Forbes Named Spin.AI One of America's Best Startup Employers
THREE
Years in a Row (2024- 2026)
Work in a fast-moving, high-impact cybersecurity company recognized by
Gartner, Forrester, and G2
.
Collaborative, transparent culture – your ideas and experiments matter.
Direct impact: your work translates into real business growth and visibility.
Growth opportunities and performance-based rewards.
Why join Spin.AI?
This is an incredible opportunity to join a fast-paced team with high growth potential to become a new unicorn or decacorn within the next few years.
Dream team of highly motivated and talented people, ambitious goals and challenges that require high analytical, management and communication skills.
EEO Statement
Equal Opportunity Employer
Spin.AI is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.
View The EEO is the Law poster and its supplement.
Disability Accommodation
For individuals with disabilities that need additional assistance at any point in the application and interview process, please contact our HR Manager, Shushan Akopian via shushan@spin.ai.
We're looking for a manager to own the performance of our Document Processing team and lead the Processing Supervisors who run it day to day. If you think in systems, lead through others, and measure what matters, this role is for you.
Location: San Francisco, CA • New York, NY
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
The AI Research team at Figma is working on the cutting edge of AI and Design. We work on optimizing agentic systems for design quality and end user experience. We build robust evaluators for Design and post-train models. We are a very collaborative, close-knit and impact-focused team of researchers and research engineers working on some of the most challenging technical problems at the intersection of AI and creativity.
We are seeking PhD interns with expertise in machine learning and artificial intelligence to develop innovative AI solutions for design and creative products. Through both fundamental and applied research, your work will contribute to new AI-driven features in Figma products.
This internship can take place in Winter 2027 or Summer 2027 in San Francisco or New York.
What you’ll do at Figma:
Drive fundamental and applied research in Generative AI with Figma product use cases in mind
Formulate and implement new modeling approaches both to improve the effectiveness of Figma’s current AI models as well as enable the launch of entirely new AI-powered product features
Explore the boundaries of what is possible with the current technology set and experiment with novel ideas
Depending on your project, you may have the opportunity to publish your research in leading AI/ML conferences
We'd love to hear from you if you have:
Are a 4th or 5th year senior Ph.D student in AI, Machine Learning, Computer Vision, Natural Language Processing, Human Computer Interaction or a related field
Proven expertise in AI through publications on recent advancements in AI, such as Large Language Models or Agentic systems
Track record in applying machine learning techniques to projects in academia or industry
Experience in Python and machine learning frameworks (such as PyTorch, TensorFlow)
Experience solving sophisticated problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward
While it’s not required, it’s an added plus if you also have:
Related industry experience via a past internship or full-time role
Experience communicating your solutions effectively to different audiences
Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to write, debug, and optimize code
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
This internship role is based in either Figma’s San Francisco or New York hub offices, and has the hourly base pay rate stated below. Figma also offers interns a housing stipend and travel reimbursement. Figma’s compensation and benefits are subject to change and may be modified in the future.
Internship
$74
—
$74 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: Warsaw, Poland
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
Keet is a fully peer-to-peer messaging and video calling app built on Holepunch's P2P stack. There are no servers, no middlemen, and no data harvesting. People talk directly to each other, with end-to-end encryption by design.
We are looking for a
Senior Technical Product Manager
to own the vision for Keet and lead it to a billion users, competing head-on with WhatsApp and Telegram. This is not a maintenance role. You will define where Keet goes, convince the board and the team that it is the right direction, and then drive the execution that gets it there.
You are a rare combination of three things. You are a product visionary who has shipped consumer chat or calling apps at scale. You are a technologist who can go deep on P2P architecture and the Pear / Holepunch stack (docs.pears.com). And you are a hands-on builder who uses AI tools to prototype and prove concepts in days, not months. You set the bar high, move at incredible speed, and lead from the front.
You will also be the person who catches what others miss. The PM who thrives here reads every ticket, tracks every dependency, asks the uncomfortable question before it becomes a launch incident, and keeps five workstreams moving simultaneously without losing the thread on any of them.
If you prefer a PM role where you set strategy and delegate execution, this is not the right fit. If you want to build something that ships to real users, moves markets, and carries your fingerprints from concept to production, we want to hear from you.
Responsibilities
Vision & Strategy
Own and articulate the long-term product vision for Keet as the world's leading private, peer-to-peer communication app, with a clear path to 1 billion users.
Analyze WhatsApp, Telegram, Signal, LINE, WeChat and emerging competitors to identify where P2P gives Keet an unfair advantage, and build the roadmap around it.
Present product vision, strategy, metrics and progress to the board and executive leadership with clarity and conviction.
Define a growth strategy across acquisition, activation, retention and virality, with measurable targets at every stage.
Technical Product Leadership
Develop a deep working understanding of the Holepunch P2P stack (Pear runtime, Bare, Hypercore, Hyperswarm, HyperDHT, Autobase, Hyperbee) and translate its capabilities and constraints into product decisions.
Partner with core engineering on hard P2P problems at scale, including NAT traversal, offline sync, multi-device support, large groups, push notifications, and battery and data efficiency on mobile.
Own the real-time calling experience (1:1 and group voice and video, plus screen sharing) to a quality bar that matches or beats Google Meet and Zoom.
Define clear feature tiers with explicit labels for stable versus experimental functionality.
Rapid Prototyping with AI
Use AI coding and design tools to build working prototypes and demos that prove concepts before committing engineering resources.
Turn ideas into something the team, users and the board can see and touch within days.
Execution & Team Leadership
Lead the product team and run the sprint cadence end to end, covering planning, prioritization, standups, reviews and retrospectives.
Own deliverables from conception through release, testing and post-launch iteration, ensuring core functionality works reliably every time.
Maintain issue trackers and roadmaps that accurately reflect priorities and sprint commitments.
Coordinate across engineering, QA, design, marketing and business stakeholders, and manage cross-team dependencies across the Holepunch and Tether ecosystem.
Provide transparent updates on status, risks and timeline changes, and hold direct conversations about accountability when needed.
Mobile & Distribution
Own the mobile release process across iOS and Android. This includes App Store and Google Play submissions, review guidelines, compliance, store listings, ratings and release management.
Oversee desktop distribution and installers across macOS, Windows and Linux.
Build crash reporting, debugging and analytics systems, privacy-preserving by design, that turn user reports into actionable engineering data.
Mandatory:
8+ years of product management experience, including significant time in a senior or lead role owning a consumer product end to end.
Strong product sense, with a proven track record of setting product vision and driving it to measurable outcomes at scale (tens of millions of users or more).
Experience leading engineers who ship products, including running sprint cadences with predictable delivery across cross-functional teams.
Deep JavaScript and React skills. You can read and write production code, review pull requests, and build working prototypes yourself.
Intuition for distributed and local-first systems. You don't need P2P expertise, because our core abstracts it away, but you should be able to reason about sync, offline behavior and consistency trade-offs.
Hands-on experience shipping and scaling mobile apps on iOS and Android, with deep familiarity with App Store and Google Play logistics, review processes and release management.
Experience with real-time voice and video calling products (such as Google Meet, Zoom, FaceTime or WhatsApp calls) and the quality, latency and reliability trade-offs involved.
Demonstrated ability to use AI tools to rapidly prototype and demonstrate product concepts.
Exceptional communication skills, with experience presenting vision and strategy to boards, executives and investors.
A strong understanding of urgency versus importance, and the judgment to make fast, high-quality decisions with incomplete information.
You thrive in a high-intensity, fast-moving environment, set an exceptionally high bar, and are willing to go above and beyond, including extended hours, when the mission demands it.
Excellent written and spoken English.
Nice to have:
Product leadership experience at a major messaging app such as WhatsApp, Telegram, LINE, WeChat, Signal, Viber or KakaoTalk.
Experience with peer-to-peer technologies, distributed systems or decentralized protocols. Prior exposure to Holepunch, Pear or Hypercore is a strong plus.
Experience growing a product in emerging markets or across multiple regions and languages.
A background in privacy, encryption or security-focused products.
Familiarity with Electron, React Native or similar cross-platform frameworks, as well as installer systems, boot performance and Linux packaging (Snap, AppImage, Flatpak).
A solid understanding of testing approaches (unit, integration, end-to-end), test automation and performance testing.
An engineering background or computer science degree.
Experience with Git, issue trackers and modern collaboration tools.
Why this role:
The next billion-user communication app will not run on someone else's servers. If you want to be the person who defines it, presents it to the board, prototypes it yourself, and then leads the team that ships it, we want to hear from you.
In your application, include a link to a product you have shipped or a prototype you have built, along with a few sentences on how you would take Keet to 1 billion users.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
ОфисSan Francisco, CA
ОфисSan Francisco, CA
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.
УдалённоheadCyprus; Bulgaria; Poland; Russia; Dubai, United Arab Emirates; Georgia; Limassol, Cyprus (Hybrid) or Remote (UTC−1 to UTC+4)
ОфисSan Francisco, CA
ОфисSan Francisco, CA
ГибридSan Francisco; Toronto; New York; Montreal; Seattle
ГибридSan Francisco; Toronto; New York; Montreal; Seattle
Renton, Washington, United States
УдалённоCanada; United States
География найма не уточнена
ГибридСША; 💹 401(k) Program with a 4% match (US Only); 🚗 Commuter Benefits (In-Office & US Only); We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds