Location: Santa Barbara, CA
Workplace: OnSite
ABOUT AVOCA
Avoca is transforming how home service companies engage with their customers. Our AI-powered conversational agents handle every high-value inbound call, from booking jobs, qualifying leads, and driving higher revenue, all at a speed and consistency unmatched by human call centers.
We're a Series B startup backed by Kleiner Perkins, Meritech Capital, General Catalyst, and other top-tier investors, with $125M raised and a $1B valuation. We grew 10x in 2025 and have scaled to 170+ employees in under two years across our NYC headquarters and Santa Barbara office.
In a $1T+ market where 85% of missed calls go to competitors, we're building the category-defining platform for AI-driven customer engagement, serving the largest brands in home services. With high-energy, in-office teams in both locations, every hire here has an immediate and visible impact.
ABOUT THE ROLE
As an Enterprise Account Executive at Avoca, you'll own the full sales cycle, from first conversation to close, for our largest and most strategic home services accounts. You'll work directly with operators, and home service business leaders at scale to understand their call flows, conversion challenges, and growth goals, and help them adopt Avoca as a mission-critical revenue engine across their organization.
This role is built for a hunter: someone who builds their own pipeline, thrives in founder-led sales environments, is comfortable selling a technical product into large, multi-stakeholder organizations, and wants to help define how Avoca sells as we scale upmarket. This role reports to Nick Hartley, General Manager, West Coast GTM.
WHAT YOU'LL DO
- Own the end-to-end sales cycle for our largest enterprise home services customers, from prospecting to close.
- Proactively build and manage your own pipeline of enterprise-fit accounts rather than waiting on inbound.
- Run discovery calls to deeply understand customer operations, call workflows, and revenue pain points across complex organizations.
- Deliver tailored demos and solution pitches that map Avoca's AI to enterprise outcomes and ROI.
- Manage pipeline, forecasts, and deal progression across long, multi-stakeholder deal cycles with high accuracy.
- Navigate complex buying committees and drive consensus across founders, operators, procurement, and finance.
- Partner closely with Product, Engineering, and Customer Success to structure and close complex, high-ACV deals.
- Provide feedback from the field to help shape product roadmap, positioning, and enterprise go-to-market strategy.
- Hit and exceed aggressive monthly and quarterly revenue targets.
WHAT YOU'LL BRING
- 7-10 years of closing experience in B2B SaaS (AI, vertical SaaS, or operational software preferred), with a track record of winning enterprise or high-ACV deals.
- A demonstrated hunter mentality, you generate and win deals rather than just manage what lands on your desk.
- Proven ability to run complex, multi-stakeholder sales cycles and close high-ACV deals from first touch to signature.
- Strong discovery skills, you ask great questions and listen closely.
- Comfort selling to operators and executives at the enterprise level.
WHO YOU ARE
- Experience carrying an enterprise or strategic accounts quota and winning outsized deals.
- Clear, confident communicator who can explain technical concepts simply to varied stakeholders.
- Highly organized, proactive, and comfortable in fast-moving environments.
- Experience working in early-stage startups is a plus.
- Experience selling to home services or operations-heavy businesses is a plus.
- Excited to work in-office with a high-ownership team in NYC.
BENEFITS
- Comprehensive medical, dental, and vision insurance
- Company-sponsored 401(k) through Vestwell
- Flexible PTO plus U.S. federal holidays
- Company-wide off-sites
- Daily in-office lunch through Parkday
- Dinner covered when working late
- Commuter benefits and late-night rideshare
- Monthly wellness stipend
- Standing desks and workspace accommodations available on request
- All core tools and software provided
Compensation: The expected on target earnings for this role is $380,000-$400,000 with final compensation based on experience, skills, and qualifications determined during the interview process. Avoca's total compensation package includes base salary, bonus, equity, and a comprehensive suite of benefits and perks. Our Recruiting team will share the full details as you progress through our hiring process.
WHY AVOCA
At Avoca, you’ll be part of a team that’s building a category-defining company at the center of a massive market opportunity. We’re a fast-moving, collaborative team with a culture designed for builders who thrive on speed, iteration, and impact.
Avoca provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.
Location: New York HQ
Workplace: OnSite
ABOUT AVOCA
Avoca is transforming how home service companies engage with their customers. Our AI-powered conversational agents handle every high-value inbound call, from booking jobs, qualifying leads, and driving higher revenue, all at a speed and consistency unmatched by human call centers.
We're a Series B startup backed by Kleiner Perkins, Meritech Capital, General Catalyst, and other top-tier investors, with $125M raised and a $1B valuation. We grew 10x in 2025 and have scaled to 170+ employees in under two years across our NYC headquarters and Santa Barbara office.
In a $1T+ market where 85% of missed calls go to competitors, we're building the category-defining platform for AI-driven customer engagement, serving the largest brands in home services. With high-energy, in-office teams in both locations, every hire here has an immediate and visible impact.
ABOUT THE ROLE
As an Enterprise Account Executive at Avoca, you'll own the full sales cycle, from first conversation to close, for our largest and most strategic home services accounts. You'll work directly with operators, and home service business leaders at scale to understand their call flows, conversion challenges, and growth goals, and help them adopt Avoca as a mission-critical revenue engine across their organization.
This role is built for a hunter: someone who builds their own pipeline, thrives in founder-led sales environments, is comfortable selling a technical product into large, multi-stakeholder organizations, and wants to help define how Avoca sells as we scale upmarket. This role reports to Jack Gashi, our VP Sales.
WHAT YOU'LL DO
- Own the end-to-end sales cycle for our largest enterprise home services customers, from prospecting to close.
- Proactively build and manage your own pipeline of enterprise-fit accounts rather than waiting on inbound.
- Run discovery calls to deeply understand customer operations, call workflows, and revenue pain points across complex organizations.
- Deliver tailored demos and solution pitches that map Avoca's AI to enterprise outcomes and ROI.
- Manage pipeline, forecasts, and deal progression across long, multi-stakeholder deal cycles with high accuracy.
- Navigate complex buying committees and drive consensus across founders, operators, procurement, and finance.
- Partner closely with Product, Engineering, and Customer Success to structure and close complex, high-ACV deals.
- Provide feedback from the field to help shape product roadmap, positioning, and enterprise go-to-market strategy.
- Hit and exceed aggressive monthly and quarterly revenue targets.
WHAT YOU'LL BRING
- 7-10 years of closing experience in B2B SaaS (AI, vertical SaaS, or operational software preferred), with a track record of winning enterprise or high-ACV deals.
- A demonstrated hunter mentality, you generate and win deals rather than just manage what lands on your desk.
- Proven ability to run complex, multi-stakeholder sales cycles and close high-ACV deals from first touch to signature.
- Strong discovery skills, you ask great questions and listen closely.
- Comfort selling to operators and executives at the enterprise level.
WHO YOU ARE
- Experience carrying an enterprise or strategic accounts quota and winning outsized deals.
- Clear, confident communicator who can explain technical concepts simply to varied stakeholders.
- Highly organized, proactive, and comfortable in fast-moving environments.
- Experience working in early-stage startups is a plus.
- Experience selling to home services or operations-heavy businesses is a plus.
- Excited to work in-office with a high-ownership team in NYC.
BENEFITS
- Comprehensive medical, dental, and vision insurance
- Company-sponsored 401(k) through Vestwell
- Flexible PTO plus U.S. federal holidays
- Company-wide off-sites
- Daily in-office lunch through Parkday
- Dinner covered when working late
- Commuter benefits and late-night rideshare
- Monthly wellness stipend
- Standing desks and workspace accommodations available on request
- All core tools and software provided
Compensation: The expected on target earnings for this role is $380,000-$400,000 with final compensation based on experience, skills, and qualifications determined during the interview process. Avoca's total compensation package includes base salary, bonus, equity, and a comprehensive suite of benefits and perks. Our Recruiting team will share the full details as you progress through our hiring process.
WHY AVOCA
At Avoca, you’ll be part of a team that’s building a category-defining company at the center of a massive market opportunity. We’re a fast-moving, collaborative team with a culture designed for builders who thrive on speed, iteration, and impact.
Avoca provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.
Location: Remote
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
Open to hiring remote — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv.
Runway is hiring a Detection & Response Engineer to own how we find and stop attacks against our infrastructure, our research environment and our products.
Securing a company that trains and serves frontier video models is a different problem from securing a typical SaaS product. The environment includes research compute, large training datasets, a fast-moving build pipeline and engineers who work inside AI-assisted tooling every day. Each of those changes what an attack looks like and what you need to see to catch it.
You'll join the Security team and build our detection and response program the way an engineer would: detections as code, response as automation, evidence as something you can query. This is a role with real ownership: you'll own the detection program end to end, from what we log to how quickly we close an incident. You'll report to the head of security, partner with engineers across platform and research, and shape how this function grows from here.
WHAT YOU'LL DO
- Own detection and response end to end: what we log, what we alert on, how we triage and how we recover
- Write and tune detections as code across multiple cloud environments, Kubernetes, identity systems, endpoints and SaaS, and measure them on coverage and precision rather than alert volume
- Lead incident response from the first alert through containment and forensics, then write the post-incident review people actually read
- Build automation that takes toil out of triage, including enrichment, correlation, containment actions and evidence collection, and use LLM-based tooling where it holds up under audit
- Monitor AI agents and developer tooling operating inside our environment, and turn that into concrete telemetry and controls
- Partner with platform and research engineers so new systems ship with logging and response playbooks in place on day one
- Run threat hunts and tabletop exercises against the parts of the environment that worry you most, and fix what you find
- Turn incident and detection metrics into evidence for SOC 2, ISO 27001 and enterprise customer security reviews, working with our GRC team
- Participate in an on-call rotation for security incidents
WHAT YOU'LL NEED
- Hands-on incident response experience: you've triaged live alerts, led investigations and written up what happened afterward
- Experience building and tuning detections in a modern SIEM, ideally managed as code
- Working knowledge of how attackers move through cloud and Kubernetes environments (IAM abuse, container escape, credential theft, supply chain compromise) and what that leaves behind in logs
- Comfort writing Python, Typescript, Rust or another language to automate response work and connect security tools
- Familiarity with at least one major cloud platform and with Kubernetes at the level of audit logs, RBAC and workload identity
- Clear writing. Incident timelines, detection documentation and updates to leadership are all part of the job
- Judgment about what to alert on, what to automate and when to wake someone up
EVEN BETTER IF YOU HAVE
- Experience monitoring GPU or HPC-style infrastructure, or research environments with large datasets
- Experience building detections or guardrails for AI agents, LLM tooling or MCP servers
- Cloud forensics experience: disk and memory acquisition, cloud audit trail reconstruction, chain of custody
- Published open source detection content
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Location: Remote
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
*Open to hiring remote — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv.
Runway is hiring an Infrastructure Security Engineer to secure the platform our models are trained and served on. The role covers Kubernetes platform security, cloud identity and access, software supply chain, tenant isolation in the serving layer and the research infrastructure behind our models.
Securing a company that trains and serves frontier video models is a different problem from securing a typical SaaS product. The environment includes research compute, large training datasets, a fast-moving build pipeline, and engineers who work inside AI-assisted tooling every day. Each of those changes what an attack looks like and what the platform has to enforce to stop it.
This is a hands-on engineering role on the Security team. You'll write policy, tooling and infrastructure code, work in the platform team's repositories, and ship controls that hold up in production.
WHAT YOU'LL DO
- Design and ship security controls in our Kubernetes ecosystem: admission policy, RBAC, workload identity, network policy and runtime hardening across every cluster we run
- Harden the software supply chain from dependency intake through build and deploy, including package firewalling, artifact signing and provenance, and admission controls that block what doesn't pass
- Own cloud IAM and identity architecture: least-privilege roles, short-lived credentials and workload federation
- Secure research infrastructure and training pipelines, including access to model weights and datasets, without slowing down the people using them
- Threat model new platform components before they ship and turn the findings into concrete requirements the owning team can act on
- Build guardrails for AI agents and developer tooling operating inside our infrastructure
- Write infrastructure as code and policy as code, and treat security configuration with the same review and rollout discipline as any other change
- Give the incident response team what they need when infrastructure is involved: fast answers about how a system works and what to shut off
WHAT YOU'LL NEED
- Hands-on experience securing Kubernetes in production: you've written admission policies, debugged RBAC and workload identity problems and understand how a cluster gets compromised
- Working knowledge of cloud IAM and networking on at least one major cloud platform, including how identity federation and short-lived credentials actually work
- Experience with infrastructure as code and GitOps-style deployment, and the habit of shipping security changes through the same pipeline as everything else
- Comfort writing Python, Typescript, Rust or another language to build tooling, not just scripts
- An understanding of software supply chain attacks and the controls that stop them: signing, provenance, SBOMs, admission enforcement
- Clear writing. Design docs, threat models and explanations to engineers who don't work in security are all part of the job
- Judgment about which controls to enforce, which to recommend and how to roll out a breaking change without breaking the company
EVEN BETTER IF YOU HAVE
- Experience securing GPU or HPC-style compute, training pipelines or research environments
- Experience with policy engines and admission controllers (Kyverno, OPA Gatekeeper, Falco or similar)
- Multi-tenant isolation design in a cloud environment: ABAC, scoped credentials, per-tenant boundaries
- Experience producing security architecture evidence for SOC 2, ISO 27001 or other audits and customer assessments
- Open source contributions or published work in cloud or Kubernetes security
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Location: Limassol, Cyprus
Freedom24 is a trusted online broker with expertise in the US, European, and Asian stock markets, registered in Cyprus, and offers a broad range of services in the financial markets.
Freedom Team is a union of highly qualified professionals on the market, bursting with vibrant energy and pioneer ideas. All of us are goal-oriented with a strong belief in teamwork power built on the strength of each of us. We work in a high-paste environment and within cross-functional teams. We are dedicated to achieving the best possible result, and no one thinks he doesn’t make a change.
We’re looking for a hands-on advertising expert to grow customer acquisition across search engines and AI chat platforms, with AI agents and automation at the core of campaign management.
If you feel like you’re a good fit for us and we are a good fit for you, go ahead and check this position out.
Responsibilities
AI & Automation
Build and optimise AI agents to manage bidding settings, budgets, keywords and negative keywords.
Use LLMs to analyse search queries, identify growth opportunities, detect wasted spend and generate ad variations.
Connect advertising platforms, analytics and internal data through APIs to automate campaign analysis, reporting and actions.
Test and monitor automated workflows, with clear limits and approval rules for campaign changes.
Search Engines & AI Chat Platforms
Own the planning, launch, optimisation and scaling of paid search campaigns across search engines.
Explore and test customer acquisition through AI chat platforms, including paid advertising formats where available.
Launch and optimise remarketing campaigns, with audiences, exclusions and messaging tailored to each stage of the customer journey.
Write and test clear, relevant ad copy adapted to each platform, audience and user intent.
Measurement & Performance
Improve conversion tracking, offline conversion integration and attribution across channels.
Use experiments and conversion value to guide bidding, budget allocation and campaign optimisation.
Identify which campaigns attract valuable customers and scale successful approaches.
Requirements
Hands-on experience building or implementing AI agents, LLM-based workflows or automation solutions in advertising, marketing or analytics.
Strong experience independently managing paid search campaigns, with a proven record of improving performance and scaling results.
A solid understanding of bidding strategies, keyword management, search query analysis and value-based optimisation.
Experience launching and optimising remarketing campaigns and audience strategies.
Working knowledge of analytics, tag management, offline conversions and attribution.
Practical experience with APIs and tools such as Python, JavaScript, SQL or automation platforms.
Strong analytical skills and the ability to turn data into clear decisions and measurable improvements.
Excellent written communication and ad copywriting skills.
Initiative to explore emerging advertising channels, challenge existing processes and take ownership of improvements.
Experience testing advertising or customer acquisition through AI chat platforms is a plus.
Benefits
Ownership of a meaningful area of performance marketing, with scope to influence how the work is done;
The opportunity to build and apply AI-powered solutions in a live advertising environment;
An international team and a preferred office location in Cyprus; remote work may be considered;
Relocation support for you and family members;
Compensation discussed individually, based on your experience and expectations.
Location: Dubai, United Arab Emirates
Location:
Dubai, UAE
Employment Type:
Full-time
Industry:
Real Estate
Experience:
Minimum 3 years in UAE/Dubai Real Estate
We are looking for an experienced
HR Recruiter
to join a growing real estate brokerage in Dubai. The primary focus of this role will be
recruiting high-performing commission-based Real Estate Agents
, while also managing the complete recruitment cycle and supporting day-to-day HR operations.
The ideal candidate must have strong experience recruiting within the real estate industry and, most importantly, be confident and capable of
hiring agents on a 100% commission-only basis
.
Key Responsibilities
Manage the
end-to-end (360°) recruitment process
, from sourcing and screening to interviewing, selection, onboarding, and joining.
Develop and maintain a strong pipeline of
commission-only Real Estate Agents
.
Source candidates through LinkedIn, job portals, databases, referrals, social media, and other recruitment channels.
Conduct initial screening, interviews, reference checks, and candidate assessments.
Clearly communicate the company's
commission-only structure, expectations, and business model
to prospective agents.
Work closely with management to understand hiring requirements and recruitment targets.
Maintain accurate recruitment records, candidate databases, and hiring reports.
Coordinate onboarding and joining formalities for selected candidates.
Support employee/agent documentation and other HR-related processes.
Assist with day-to-day HR operations and administrative activities as required.
Ensure a positive candidate experience throughout the recruitment process.
Track recruitment KPIs, pipeline activity, joining ratios, and overall hiring performance.
Requirements
Minimum 3 years of HR/Recruitment experience within the UAE/Dubai real estate industry is mandatory.
Proven experience recruiting
Real Estate Agents on a commission-only basis is mandatory.
Strong understanding of the Dubai real estate recruitment market and available talent pool.
Proven ability to independently manage the
full 360° recruitment lifecycle
.
Strong sourcing, screening, interviewing, and negotiation skills.
Experience working with recruitment platforms, LinkedIn, databases, and other sourcing channels.
Good knowledge of general HR operations and documentation.
Strong communication and interpersonal skills.
Ability to work independently in a fast-paced real estate environment.
Immediate availability / ability to join immediately is mandatory.
Benefits
Competitive salary package based on experience.
Opportunity to work with a growing Dubai real estate brokerage.
High-autonomy role with direct involvement in recruitment and HR operations.
Opportunity to build and manage a strong real estate sales talent pipeline.
Professional and growth-oriented working environment.
Задачи:
— Отвечать за продуктовую стратегию и развитие GigaCode Desktop.
— Исследовать задачи разных ролей PDLC и находить сценарии, где AI-агенты дают максимальную ценность.
— Формировать и приоритизировать roadmap продукта.
— Проектировать отдельные role-based сценарии и рабочие пространства для системного и бизнес-аналитика, QA, владельца продукта, project/product manager и других ролей PDLC.
— Развивать агентские сценарии: Skills, MCP, subagents, интеграции с корпоративными системами и инструментами пользователей.
— Работать с UX/UI командой над простым интерфейсом для сложных агентских возможностей.
— Проверять гипотезы через интервью, прототипы, пилоты и продуктовую аналитику.
— Определять продуктовые метрики: activation, adoption, retention, частоту использования ключевых сценариев и эффект для пользователей.
— Работать вместе с разработкой, дизайном, аналитиками, ML/AI-командами и внутренними заказчиками.
— Доводить продуктовые инициативы от идеи и discovery до запуска и измеримого результата.
Требования:
— Опыт работы Product Manager / Product Owner с digital-продуктами.
— Умение самостоятельно проводить discovery: исследовать пользователей, формулировать проблемы и проверять гипотезы.
— Сильное продуктовое мышление: способность отличать реальную пользовательскую ценность от просто интересной технологии.
— Умение проектировать сложные пользовательские сценарии и превращать их в понятный продукт.
— Опыт работы с кросс-функциональными командами разработки.
— Понимание продуктовых метрик и умение принимать решения на основе данных.
— Способность работать в условиях высокой неопределенности и самостоятельно формировать направление развития продукта.
— Технический бекграунд (разработка, системная аналитика).
— Глубокая экспертиза в использовании агентов Codex, Claude.
Будет большим плюсом:
— Опыт создания AI-продуктов, copilots или AI-агентов.
— Понимание современных LLM, tool calling, MCP, skills и multi-agent подходов.
— Опыт работы с developer tools, enterprise-продуктами или внутренними платформами.
— Понимание процессов разработки ПО и ролей внутри PDLC.
— Опыт создания продуктов сразу для нескольких пользовательских сегментов.
Условия:
— Комфортный современный офис рядом с м. Тульская.
— Возможность выбрать удобный график – офис/гибрид.
— Ежегодный пересмотр зарплаты и годовая премия.
— Корпоративный спортзал и зоны отдыха.
— Более 400 образовательных программ СберУниверситета для профессионального и карьерного развития.
— Расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа.
— Гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ.
— Подписка Прайм с возможностью совместного использования на трёх близких.
— Вознаграждение за рекомендацию друзей в команду Сбера.
Задачи:
— Выстраивать и развивать QA-процессы в команде.
— Участвовать в анализе требований и выявлять риски до начала разработки.
— Проводить функциональное, интеграционное, регрессионное и end-to-end тестирование.
— Тестировать API, базы данных, обмен данными и интеграции между компонентами системы.
— Разбирать логи и совместно с разработчиками локализовывать причины ошибок.
— Формировать тестовые сценарии и критерии готовности релиза.
— Организовывать тестирование решений на стендах и с реальным производственным оборудованием.
— Развивать автоматизацию тестирования.
— Выстроить подход к автоматизации QA с использованием ИИ: генерация и актуализация тестов, анализ требований, подготовка тестовых сценариев, анализ результатов прогонов и поиск потенциальных дефектов.
— Помогать развивать QA-команду и культуру качества внутри разработки.
Требования:
— Опыт работы QA на уровне Senior / Lead.
— Хорошее понимание техник тестирования и тест-дизайна.
— Опыт тестирования сложных интеграционных систем.
— Знание REST API, SQL, JSON/XML.
— Умение работать с логами и самостоятельно проводить первичную диагностику проблем.
— Понимание клиент-серверной архитектуры и сетевого взаимодействия.
— Опыт автоматизации тестирования или готовность самостоятельно выстроить её с нуля.
— Интерес к современным AI-инструментам и желание использовать ИИ как практический инструмент для повышения скорости и качества тестирования.
— Способность смотреть на продукт целиком, а не только проверять отдельные задачи.
Будет плюсом:
— Опыт тестирования промышленного ПО.
— Опыт с системами маркировки, сериализации и прослеживаемости.
— Знание PostgreSQL, Linux.
— Опыт взаимодействия ПО с принтерами, маркираторами, камерами и другим оборудованием.
— Практический опыт использования LLM/AI Agents в разработке или QA.
Условия:
— Собственные продукты и сложные задачи на стыке разработки, интеграций и промышленной автоматизации.
— Возможность напрямую влиять на качество продукта и процессы разработки.
— Возможность построить QA-практику и автоматизацию, в том числе с активным использованием AI.
— Работа в тесном контакте с разработчиками, аналитиками и инженерами внедрения.
— Возможность влиять на технические решения и инструменты команды.
— Оформление по ТК РФ, полный социальный пакет.
— Белая заработная плата (фиксированный оклад) и переменная часть по итогам выполнения KPI.
— График работы: 5/2.
— Комфортабельный бизнес-центр (БЦ «Барклай-Плаза», м. Парк Победы/Багратионовская/Фили) с магазинами, кофейнями и фитнес-клубом.
— Уютный офис с кофемашиной, снеками и свежими фруктами.
— ДМС/фитнес (на выбор).
— Отсутствие жёсткого дресс-кода.
— Открытая и прозрачная коммуникация на всех уровнях компании.
— Классные корпоративные мероприятия.
Location: San Francisco, California; New York, New York
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE:
Notion has been at the cutting edge of AI since before ChatGPT launched. The job of the Model Capabilities team is to keep us there. We own the model layer of Notion AI: integrating frontier models as they ship, keeping inference reliable and economical at scale, and building new capabilities that other teams take advantage of.
This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE:
- Bring new frontier models into production quickly, making them available for our users and our engineers.
- Make inference reliable: better error categorization, self-healing retries, and cross-provider failover.
- Own observability for the model layer, driving down both time to detection and time to fix.
- Build new model-level capabilities and help product teams adopt them.
- Act as connective tissue across Notion's AI teams: find the gaps, unblock people, and make sure fixes land with the right owner.
SKILLS YOU'LL NEED TO BRING:
- Comfort with a moving frontier: The model landscape changes monthly. You keep up with it, form your own view of what's real, and stay pragmatic about what's worth adopting now.
- AI fluency as a practitioner: You use AI tools seriously in your own work and have opinions about where they help and where they don't.
- Production AI systems experience: You've built and operated systems on top of LLM APIs, not just prototyped with them. You understand token economics, streaming, tool calling, context limits, and how each of these fails in production.
- Measurement before conviction: You don't ship a prompt or model change on vibes. You define what "better" means, build or use the evaluation to test it, and are willing to be proven wrong by your own data.
- Cost and performance instincts: You treat latency and dollars as product qualities, not afterthoughts, and you can reason about the tradeoff between them and output quality.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $255,000 – $300,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528.
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: New York; San Francisco
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
ABOUT THE ROLE
As a Deployment Strategist Lead, you'll be fully responsible for opening up a new market for ElevenLabs, and building a team to make it happen. This is a senior position in which you’ll operate as if a co-founder, working alongside an experienced sales leader, of an effective startup moving from 0 -> 1 within our broader org, aiming to deploy our voice AI technology at the most Strategic customers in the market against their most challenging problems. All the while you’ll be able to leverage support from the rest of ElevenLabs to accelerate.
You will be responsible for hiring the team you need, winning the first customers in the market and ensuring that our product generates impact for them.
No two days are the same, but you should expect to:
- Meet with strategic customers to understand their critical audio and voice AI needs and locate their biggest pain points.
- Build and lead a team of forward deployed engineers within the region.
- Identify relevant use cases through deep engagement with customer problems and workflows, and work with Engineers to implement our voice and audio AI technology into innovative solutions.
- Design and architect bespoke integrations for customers, ensuring our technology fits seamlessly into their products and operations.
- Guide customers on best practices for implementing our voice and audio AI models to maximize their effectiveness.
- Present the results of our work and proposals for future work to audiences ranging from technical teams to C-suite executives.
- Collaborate with our Research and Product teams to incorporate field insights into ElevenLabs' software products and AI models.
- Build and deliver compelling demos of our voice and audio AI technology to new and existing customers.
- Scope out potential applications in new industries and expand our AI solutions across different sectors globally.
- Take full ownership of end-to-end execution of major projects for our most strategic partners, working hands-on to deliver high-impact solutions.
- Collaborate daily with our customers' engineering and executive teams to ensure optimal implementation of ElevenLabs' technologies.
REQUIREMENTS
- Executive Stakeholder Engagement: Proven experience engaging and influencing C-suite and VP-level stakeholders, both internally and at customer or partner organizations.
- People Leadership: Demonstrated ability to hire, develop, and manage high-performing technical teams while fostering a collaborative and results-driven culture.
- Basic proficiency in Python and understanding of API integration to implement scripts and help with prototyping/demo building.
- Excellent communication and problem-solving skills, especially in terms of ability to summarize complex technical concepts and using logic in pursuing optimal solutions.
- Technical aptitude to quickly understand our voice and audio AI models and their applications.
- Strategic and Commercial Awareness: Ability to align technical strategy with business objectives, with an understanding of deal structures, go-to-market motions, and revenue impact.
- Nice to have: Partner Ecosystem Development - Experience identifying, building, and nurturing relationships with system integrators, resellers, and technology partners to drive market growth.
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: San Francisco
NOTE ON ELIGIBILITY: this role is for industry candidates already working in software engineering for the past 1+ years. New grads and current students should NOT apply to this role (instead, visit pplx.ai/newgrads https://pplx.ai/newgrads).
ABOUT THE ROLE
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, through Search, Comet, and Computer. Product Engineering owns those experiences end to end, from the interface a user touches to the search and model calls behind it, on top of roughly 200M queries a day and a 200B+ URL index.
This is a full stack role in the truest sense. There are no frontend or backend lanes here, and no one waits for a ticket before starting. It suits people who love to build and want the room to do it. What you have shipped and how quickly you learn tell us far more than years on a resume or where you went to school.
WHAT YOU WILL DO
- Own a user-facing surface end to end, from the interaction, design, and frontend through the application logic, APIs, data models, and the search or model calls behind them.
- Ship to production continuously. New engineers typically have code in front of users in their first week.
- Build with AI as a primary tool, not a novelty. We expect you to use agents and coding models aggressively to move faster, and to have sound judgment about when their output is wrong.
- Turn ambiguous product ideas into working prototypes, then use real usage data and evals to decide what survives.
- Raise the quality bar on reliability, latency, and craft for the surfaces you own.
- Work directly with designers, PMs, and research engineers, without unnecessary process in between.
WHAT WE LOOK FOR
- 1+ years of professional software engineering experience, or a track record of strong internships where you shipped production code at scale.
- Strong in at least one backend language, such as Python or Go, with real experience across services, APIs, and relational data modeling. Comfortable working in React and TypeScript on the frontend.
- Real evidence of building: production work you understand in depth, shipped side projects with actual users, meaningful open-source contributions, hackathon wins, or research you turned into working software.
- Comfort with ambiguity and an instinct to start building incrementally rather than wait for a spec.
- Hands-on experience with AI products, with opinions about their rough edges and what that means for the product you are building.
NICE TO HAVE
- Experience with our stack: React or Next.js, Python, Go, PostgreSQL, Redis, Docker, AWS. You will not be expected to know all of it on day one.
- Experience building on top of LLMs: AI orchestration, RAG, evals, agents, tool use.
- Product taste. You can tell a good interface from a bad one and explain how to improve it.
- A public track record we can read, such as GitHub, a technical blog, or a demo we can try.
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
The Opportunity:
Grafana Labs is looking for an
Strategic Account Executive, Growth
who will be responsible for prospecting and growing existing business across the
West region
. You will identify, nurture and close opportunities with existing customers. You will manage forecasts and track customer data. We're strong proponents of a consultative sales approach - learn about the customer's needs first before talking about our products. Your expertise will be critical in helping articulate the value of our products, work with the customer during the trial phase and hand off a strong relationship to our Customer Success team.
What You’ll Be Doing:
Identify new opportunities to expand Grafana usage within a set of current customers
Meet and exceed individual quarterly and annual sales goals
Manage all aspects of the sales process (prospecting, sales meetings, product demos, proofs of concept, proposals, negotiations and account management)
Cultivate sales through outbound prospecting and inbound leads
Be able to understand and convey the value of both Grafana Cloud and Grafana Enterprise
Become an expert in managing your sales pipeline in Salesforce
Manage quote creation, order processing, and day-to-day customer requests
What Makes You a Great Fit:
5+ Years of Experience in Infrastructure Technology Sales
Demonstrated history of consistent goal achievement in a highly competitive environment (top 10% performer)
Energetic, upbeat, entrepreneurial, tenacious team player
Adaptable and with demonstrable experience in high velocity technology companies
Experience using Salesforce
You will need to be an excellent communicator in all channels (in person, online, in writing) and able to form strong working relationships both in person and virtually
Bonus Points For:
Familiarity with open source technology is a significant advantage
Experience using Command of the Message and MEDD(P)ICC is ideal
Compensation & Rewards:
In the United States, the OTE (On-Target Earnings) compensation range for this role is $32
0,000 - $340,000.
Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: USA (Remote); Canada (Remote)
Workplace: Remote
Mysten Labs’ mission is to advance the internet through step-function improvements in what technology makes possible. We build foundational infrastructure and products that give people, businesses, and developers new ways to interact, transact, and create value.
Our work spans on-chain finance and the emerging agent economy. Through Sui, Move, and our broader technology stack, we’re building the systems that make these experiences possible - from secure, scalable blockchain infrastructure to new ways for businesses and AI agents to interact.
We’re looking for a Senior Security Engineer to help protect the Sui ecosystem. You’ll uncover vulnerabilities, build monitoring tools, and assess economic risk across DeFi protocols. Working closely with external protocol teams and Mysten’s own DeFi products, including DeepBook, you’ll help address risks before they become incidents and strengthen security across the ecosystem
Responsibilities
- Build and run continuous monitoring of the Sui DeFi ecosystem for security and economic risk: oracle issues, misconfigurations/bad economic parameters, solvency and bad-debt exposure under price shocks, liquidation capacity against on-chain liquidity depth, accounting-versus-positions reconciliation, invariants.
- Extend security team tooling, both precise static analysis tooling and proprietary agent skills.
- Measure and drive compliance with the DeFi security recommendations across supported protocols: run the recurring compliance cycle, fill the protocol report card, validate security claims (audits, custody, upgrade governance, oracle dependencies) against on-chain reality, track remediation commitments, and escalate when a protocol regresses or fails to disclose an incident. Partner with the ecosystem and finance owners of the process.
- Hunt for critical vulnerabilities in the highest-TVL Sui protocols and get them fixed before they are exploited: full-package audits, variant analysis across forks, pre-execution review of multisig upgrade payloads, and forensics after incidents anywhere in the ecosystem.
- Be the security team's point of contact for external DeFi teams and for Mysten's own DeFi products such as DeepBook: due diligence, incident coordination, and post-mortems that feed back into the recommendations and the monitors.
- Write it down: findings, reports, and runbooks that a protocol engineer can act on and a non-technical stakeholder can understand, with every claim traceable to bytecode, chain state, or data.
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
- 3+ years of hands-on experience in security engineering, smart contract security, or DeFi risk engineering, with a track record of building tools that ran in production and of finding real vulnerabilities (audit findings, bug bounty reports, published research, or incident work).
- Strong understanding of DeFi mechanics and their failure modes: lending markets (LTV, liquidation thresholds and bonuses, close factors, bad debt), AMMs and concentrated liquidity, perpetuals, liquid staking, oracles (staleness, confidence, TWAP, multi-source aggregation), flash loans, and MEV.
- Proficiency in TypeScript and Python, and comfort with Rust. Ability to write SQL over large datasets and to work with blockchain indexers and data warehouses.
- Experience reading smart contract code at source or the bytecode or disassembly level, or evident ability to learn it quickly. Move experience is a plus, not a requirement; Solidity or Rust smart contract experience transfers.
- Rigor: you verify claims against bytecode and chain state, build known-clean checks into your tools, and say what you did not verify.
- Strong written and verbal communication, including the ability to influence external teams you have no formal authority over
- Interest in the web3 space is required.
Preferred Qualifications
- Sui and Move experience: the object and capability model, package upgrades and version gates, programmable transaction blocks, the Sui GraphQL and gRPC APIs.
- Knowledge of the recent DeFi exploit history on Sui and other chains: named incidents, oracle compromises, and the defect classes behind them.
- Experience building analysis or monitoring tools with LLM agents (Claude Code skills or comparable), and a clear sense of where models help and where deterministic tooling must do the work.
- Static or dynamic program analysis experience: taint analysis, call graphs, symbolic execution, fuzzing, formal verification.
- Quantitative or economic modeling experience: stress testing, liquidity modeling, risk parameters for lending markets.
- Publications, conference talks, CVEs, or bug bounty rankings.
Employment is contingent upon the successful completion of a background check, which may include verification of employment history, education credentials, criminal history, and other relevant information.
Regarding the recent rash of technology job scams: Be aware that emails from genuine Mysten Labs group recruiters will always come from the @mystenlabs.com http://mystenlabs.com domain or related subdomains (e.g., mystenlabs.com/careers http://mystenlabs.com/careers). Remember: you can always verify positions on our job boards at www.mystenlabs.com/careers http://www.mystenlabs.com/careers.
To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers.
Our team is remote first and we are hiring across the world. Here at Mysten Labs, you’ll be joining a world-class team with tremendous growth potential as we bring the next billion users to web3. We raised a $300M Series B round from top Silicon Valley led venture funds like Jump Crypto, Andreessen Horowitz (a16z), Binance Labs, Redpoint, Lightspeed, Coinbase Ventures, Electric Capital, Standard Crypto, NFX, Slow Ventures, Scribble Ventures, Samsung Next, Lux Capital, among other investment firms and strategic partners. Come join us and build the future of web3!
Location: Remote; Seattle, WA; London; New York, NY; San Francisco, CA
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
Open to hiring remote across North America and London — we also have offices in NYC, San Francisco, Seattle, and London.
We're building a tool that makes content creation easy and accessible for all types of creatives. Our users love it. Runway has an actively engaged and growing community of passionate artists and creators worldwide. And we're scaling the systems behind our support team so we can keep delivering delightful experiences as that community grows.
We're looking for a Support Systems Engineer who ships production code, not tickets and specs: someone who takes a fix from proposal to merged PR themselves. This role reports directly to the Head of Customer Experience.
WHAT YOU’LL DO
- Own the AI support agent, our ticketing system and other Support tools end to end: authentication (JWT), response logic, routing, escalation paths and tone, tested in staging before it sees live traffic
- Ship daily product changes that remove ticket volume. Recent example: extending automatic refund eligibility to one-click credit purchases, accidental upgrades and month-based proration on annual terms
- Build and maintain internal CX tooling as real software, not one-offs: scripts, jobs, dashboards, admin surfaces
- Run QA and evals with real test suites and pass/fail rubrics, plus monitoring and alerts for outages, bugs and volume spikes
- Own releases: staged rollouts, a regression suite before every ship, clear rollback criteria, a writeup when something reaches production
- Build the CX reporting the org runs on: volume, deflection, CSAT, reply and resolution time, escalation accuracy, agent spend. You own the correctness and availability of the queries.
- Build and stage the guardrails on refunds, account changes and anything touching money or PII, including the audit trail
- Keep the knowledge base accurate and structured for the agent to parse, and manage the handoff into the ticketing system
- Keep the CX roadmap and the coverage model current, sequenced against priorities set by the Head of CX, so gaps show up before they bite
- Run the day-to-day with our AI platform vendor: weekly working session, joint roadmap, issues filed with reproductions
- Carry signal across teams: Product and Engineering on bugs and rollouts, Customer Education on self-serve, community on Discord and the forums, GTM and Analytics on routing and reporting
WHAT YOU’LL NEED
- 5+ years in Customer Experience, Support Engineering or Support Operations, with real time spent writing code
- You ship production code in codebases you didn't write: read TypeScript, trace logic through someone else's service, put up a PR that survives review. Our stack is TypeScript and Node.js on AWS
- Hands-on experience building and tuning AI or LLM-powered support workflows: prompt and context engineering, routing, escalation design, evals
- SQL experience. You own the reporting, so you shouldn't be waiting on Analytics for it
- Code-level experience with a billing or payments API: invoices, prorations, refunds. A large share of consumer tickets live here
- Git, PR review, CI, staging and feature flags as your default way of working
- Real QA and eval experience: you can define rubrics, build test suites and calibrate against what good looks like
- Judgment about where a fix belongs, in code, in the agent or in the knowledge base
- A track record carrying signal between support, product and other functions and turning it into action
- Comfort managing your own work in a fast-moving environment, high ownership and high autonomy
- Genuine interest in AI, creative tools or both
WHAT SETS YOU APART
The most successful person in this role treats the agent and the systems around it like a product they own. They watch where it fails, ship the fix and check whether it worked. They build reporting people actually use. And they show up with improvements no one asked for yet.
FOR YOUR APPLICATION
During our interview process, you'll have several chances to get acquainted with the Runway product and use all the features our team has built, and that starts now. As part of your application, instead of a cover letter, we ask that you try out the Runway product, specifically build a custom workflow.
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Location: Remote, Canada; Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Senior Developer Advocate at GitLab, you'll help technical audiences understand and use our intelligent orchestration platform where teams and their AI agents ship secure software faster. You'll go deep on the product, especially GitLab Duo Agent Platform and our newer capabilities, and continuously discover real-world workflows that teams care about. You'll turn that hands-on knowledge into demos, blog posts, videos, and presentations, and bring what you learn from customers and the developer community back to GitLab.
This role focuses on showing the product in action and building relationships with customers and the community. You'll help cover events and work across U.S. and Canadian time zones.
What you'll do
Deeply understand GitLab's platform, especially our AI agent capabilities, and continuously find productive, real-world use cases worth showing.
Create product content, including videos, blog posts, presentations, and social clips that show key use cases for GitLab in the user interface and terminal.
Produce video content end to end: script, record, and edit product walkthroughs and demos, and collaborate with GitLab's video team on longer or higher-production pieces.
Deliver product demos and participate in analyst briefings.
Engage with customers through webinars, customer meetings, and other conversations.
Participate in the developer community by engaging on the GitLab forum and Discord, following the conversations happening on social platforms, in newsletters, and at events, and making sure GitLab has a voice in the ones that matter.
Answer technical questions that come through the sales team, and partner with support, sales, and product on developer-facing educational content.
Use hands-on product experience to share feedback with product teams and test new features.
Contribute to technical research and analysis of the developer tools landscape.
Travel requirement up to 20% for events and customer meetings.
What you'll bring
Hands-on technical experience. You understand how software gets built, with a focus on everything that happens after code is written, and can talk about it credibly with engineers.
Understanding of artificial intelligence and its use in software development, from coding all the way to production. You have built and operated agentic systems and infrastructure.
The ability to explain technical products clearly. You can demo a product, record a walkthrough, or speak at a conference without it feeling forced.
Fluency in developer social platforms. You know what's interesting to the people we're trying to reach and can participate in the conversation with credibility.
Curiosity and self-direction. You're already finding the next thing worth talking about, following the right people, and noticing opportunities.
Experience engaging with customers, developers, or technical communities.
Ability to work independently and collaborate across sales, engineering, product, and other teams.
About the team
The Developer Advocacy team creates content that shows GitLab in use, engages with customers and the developer community, and brings hands-on product feedback to GitLab teams. The team also contributes technical research and analysis, while partnering with other groups to share its findings.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$115,200
—
$194,400 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
УдалённоСША; Lastly, the provided range is the expected salary for candidates in the U.S
seniorLimassol, Cyprus; Relocation support for you and family members
Dubai, United Arab Emirates
ГибридМосква
leadГеография найма не уточнена
ГибридSan Francisco, California; New York, New York
УдалённоleadNew York; San Francisco
San Francisco
United States (Remote)
УдалённоseniorUSA (Remote); Canada (Remote)
УдалённоRemote; Seattle, WA; London; New York, NY; San Francisco, CA; Lastly, the provided range is the expected salary for candidates in the U.S
УдалённоseniorRemote, Canada; Remote, United States; and Canadian time zones; The base salary range for this role’s listed level is currently for residents of the United States only