Location: Barcelona, Spain; Madrid, Spain
About Workato
Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit
workato.com
.
Why join us?
Ultimately, Workato believes in fostering a
flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
. We are driven by
innovation
and looking for
team players
who want to actively build our company.
But, we also believe in
balancing productivity with self-care
. That’s why we offer all of our employees a vibrant and dynamic work environment
along with a multitude of benefits
they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider
named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100
recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500
ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz
ranked us the #1 best company for remote workers
Responsibilities
As our PostgreSQL DBA, you will be the go-to engineer for everything data-layer: index and schema design on multi-terabyte tables, query optimization for application teams, connection pooling, upgrades, and migrations. Our PostgreSQL runs on Amazon Aurora — operating a large, fast-growing fleet consistently: turning one-off procedures into reliable automation, keeping dozens of clusters healthy at once, and helping developers use the database well. You'll split your time between a support rotation for incoming developer requests and longer-cycle reliability and automation projects.
In this role, y
ou will also be responsible to:
Own day-to-day PostgreSQL operations across all production data centers: index creation on large/partitioned tables, query-plan analysis, schema reviews, data migrations.
Partner with application teams on data-model decisions — design, partitioning, retention, consolidation vs. standalone clusters — and push back with data when a design won't scale.
Operate and tune Aurora PostgreSQL: parameter groups, replicas, failover behavior, capacity planning.
Run and evolve our PgBouncer connection-pooling layer.
Turn manual runbooks into released, repeatable automation: seamless upgrade, switchover, database/user provisioning, grants management (Terraform + Ansible).
Drive incident response and RCAs for database-related issues, and land the follow-up actions.
Maintain and improve database observability (postgres_exporter, VictoriaMetrics dashboards and alerts).
Take part in the team's duty rotation handling developer requests, with protected focus time off-duty.
Requirements
Qualifications / Experience / Technical Skills
5+ years of hands-on operational PostgreSQL experience (DBA / database reliability role).
Strong command of query plans, indexing strategy, and performance work on multi-TB tables.
Production experience with managed PostgreSQL (Aurora or RDS) and a clear-eyed view of its constraints.
Working proficiency with Terraform and Infrastructure-as-Code practices; comfortable in Linux.
Experience with connection pooling (PgBouncer or similar) in production.
Practical experience with logical replication, major-version upgrades, and low-downtime migration techniques.
Scripting ability (Bash, Python or GO) and an automation-first mindset.
Experience with cloud infrastructure (AWS preferred); strong incident-management and RCA skills.
Nice to Haves
Operational exposure to ClickHouse, OpenSearch, or Redis/Valkey, Neo4j.
Kubernetes fundamentals (our poolers, proxies, and exporters run on EKS).
Experience with Vault, ArgoCD, or GitOps workflows.
Comfort using AI coding assistants to accelerate routine analysis and tooling.
Tech Stack
AWS • Aurora PostgreSQL • Kubernetes • PgBouncer • Terraform • Ansible • VictoriaMetrics • Vault • Linux
(REQ ID: 2960)
Задачи:
— вести IT-проекты от постановки задачи до релиза
— планировать сроки, ресурсы и приоритеты
— координировать разработку, аналитику, дизайн и QA
— работать с заказчиками и стейкхолдерами
— управлять рисками, зависимостями и изменениями
— улучшать процессы внутри команды
Требования:
— опыт Project Manager в IT
— понимание полного цикла разработки продукта
— опыт работы с кросс-функциональными командами
— знание Agile / Scrum / Kanban
— опыт работы с Jira / Confluence
— сильные коммуникационные и организационные навыки
Будет плюсом:
SaaS / B2B / enterprise, технический бэкграунд, понимание API и интеграций.
Location: Taiwan (Remote)
Workplace: Remote
ABOUT THE OPPORTUNITY
We are building a rigorous, verifiable evaluation suite of Terminal-Bench tasks designed to test the limits of large language models on multilingual software challenges. Our goal is to measure multilingual robustness across prompt language effects, non-English data processing, and complex locale/encoding edge cases in terminal workflows.
We are seeking experienced native-speaking software engineers to design, build, and validate these benchmarks. You will create high-signal, high-quality tasks that genuinely test a model's ability to handle multilingual environments without relying on English translation crutches.
Note this is a remote, freelance opportunity
WHAT YOU’LL DELIVER
- Task Engineering: Evaluating Coding Agents.
- Asset Creation: Build realistic task environments using datasets and files in your native language. Crucially, these assets must remain in the target language to genuinely measure multilingual handling.
- Prompting & Translation: finding failure points where AI does not work, in your native language
- Implementation & Verification: Support the development of robust solutions (reference implementations) and write highly reliable, deterministic verifier scripts (using rubric-based judging only when strictly necessary).
- Calibration & Execution: Analyze execution logs and calibrate task difficulty (Easy to Very Hard) using standard Terminal-Bench run configurations against various model tiers (Haiku, Sonnet, Opus).
- Quality Assurance: Participate in a rigorous, 4-layer human quality control process (creation, human review, calibration review, and audit) alongside automated LLM-based checks to ensure fairness, grammatical accuracy, and benchmark integrity.
QUALIFICATIONS
- Experience: 1+ years of industry experience in software engineering.
- Background: Proven track record at leading technology companies and/or graduation from top-tier engineering universities.
- Language: Native or near-native fluency, with a deep understanding of its grammar, register, and phrasing rules. High English proficiency.
- Technical Stack: Strong proficiency in Python, standard shell scripting, and data processing.
- Workflow: Extensive experience with Terminal/CLI-based development workflows and a working familiarity with coding agents.
- Domain Expertise: Deep technical understanding of multilingual text processing pitfalls, including:
- Encoding/decoding robustness and Unicode normalization.
- Locale-dependent conventions (collation, casing, non-Gregorian dates).
- Text I/O, toolchain interoperability, and safe string operations.
- (For specific languages) Bidirectional/RTL handling, font fallbacks, and rendering/typography in UI or artifacts.
WHY COLLABORATE WITH LILT?
- Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging.
- Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices.
- Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate.
- Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together.
- Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains.
- Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.We are building a rigorous, verifiable evaluation suite of Terminal-Bench tasks designed to test the limits of large language models on multilingual software challenges. Our goal is to measure multilingual robustness across prompt language effects, non-English data processing, and complex locale/encoding edge cases in terminal workflows.
WHAT TO CONSIDER BEFORE APPLYING
- Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed.
- Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 15-20 hours per week. If your schedule is unpredictable, this may not be the right fit.
- Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging.
HOW TO JOIN OUR EXPERT COMMUNITY
1 - Submit your application including an updated copy of your CV in English
2 - Next, complete a GenAI assessment to evaluate your skills
3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects.
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Location: Hong Kong (Remote)
Workplace: Remote
ABOUT THE OPPORTUNITY
We are building a rigorous, verifiable evaluation suite of Terminal-Bench tasks designed to test the limits of large language models on multilingual software challenges. Our goal is to measure multilingual robustness across prompt language effects, non-English data processing, and complex locale/encoding edge cases in terminal workflows.
We are seeking experienced native-speaking software engineers to design, build, and validate these benchmarks. You will create high-signal, high-quality tasks that genuinely test a model's ability to handle multilingual environments without relying on English translation crutches.
Note this is a remote, freelance opportunity
WHAT YOU’LL DELIVER
- Task Engineering: Evaluating Coding Agents.
- Asset Creation: Build realistic task environments using datasets and files in your native language. Crucially, these assets must remain in the target language to genuinely measure multilingual handling.
- Prompting & Translation: finding failure points where AI does not work, in your native language
- Implementation & Verification: Support the development of robust solutions (reference implementations) and write highly reliable, deterministic verifier scripts (using rubric-based judging only when strictly necessary).
- Calibration & Execution: Analyze execution logs and calibrate task difficulty (Easy to Very Hard) using standard Terminal-Bench run configurations against various model tiers (Haiku, Sonnet, Opus).
- Quality Assurance: Participate in a rigorous, 4-layer human quality control process (creation, human review, calibration review, and audit) alongside automated LLM-based checks to ensure fairness, grammatical accuracy, and benchmark integrity.
QUALIFICATIONS
- Experience: 1+ years of industry experience in software engineering.
- Background: Proven track record at leading technology companies and/or graduation from top-tier engineering universities.
- Language: Native or near-native fluency, with a deep understanding of its grammar, register, and phrasing rules. High English proficiency.
- Technical Stack: Strong proficiency in Python, standard shell scripting, and data processing.
- Workflow: Extensive experience with Terminal/CLI-based development workflows and a working familiarity with coding agents.
- Domain Expertise: Deep technical understanding of multilingual text processing pitfalls, including:
- Encoding/decoding robustness and Unicode normalization.
- Locale-dependent conventions (collation, casing, non-Gregorian dates).
- Text I/O, toolchain interoperability, and safe string operations.
- (For specific languages) Bidirectional/RTL handling, font fallbacks, and rendering/typography in UI or artifacts.
WHY COLLABORATE WITH LILT?
- Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging.
- Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices.
- Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate.
- Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together.
- Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains.
- Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.We are building a rigorous, verifiable evaluation suite of Terminal-Bench tasks designed to test the limits of large language models on multilingual software challenges. Our goal is to measure multilingual robustness across prompt language effects, non-English data processing, and complex locale/encoding edge cases in terminal workflows.
WHAT TO CONSIDER BEFORE APPLYING
- Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed.
- Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 15-20 hours per week. If your schedule is unpredictable, this may not be the right fit.
- Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging.
HOW TO JOIN OUR EXPERT COMMUNITY
1 - Submit your application including an updated copy of your CV in English
2 - Next, complete a GenAI assessment to evaluate your skills
3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects.
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Location: Poland; Georgia; Serbia
Workplace: Remote
About Samsung Food (Whisk)
At Samsung Food (you might know us as Whisk), we are pioneering the future of everyday care and health — helping individuals and families around the world live better through connected, proactive, and personalized experiences. Our mission is to connect food, health, and home across the Samsung ecosystem, turning data from your devices into personalized guidance that supports you and your loved ones.
We work at the intersection of AI, nutrition, behavior change, and digital health. The Samsung Food app was included in Google Play’s Best of 2020 Everyday Essentials list, has been regularly featured on the Apple App Store, and was nominated for a 2021 Webby Award. We’ve also launched Vision AI, which recognises food and meals using our global Food Genome, and developed deep integrations with Samsung Health and SmartThings.
We are a remote-first team of more than 100 people in over 30 countries, united by our commitment to innovation and impact. As part of Samsung Electronics, we combine the agility of a startup with the scale of the world’s largest consumer electronics company. Join us and help build technology that improves daily life for tens of millions of people across phones, wearables, TVs, and kitchen appliances in the years to come.
Learn https://samsungfood.com/working-at-samsung-food/ more about how we’ve shaped a high-performing global team over the past 14 years.
ABOUT THE ROLE
Samsung Health helps hundreds of millions of people understand their health, through the devices already in their hands. We're looking for a Staff Product Manager to lead the product definition behind a new AI coaching capability; the end to end experience, coaching logic, the behaviour model, and support the engine build and the practice for evaluating whether the coaching is genuinely good.
The problem takes real judgment: coaching that arrives at the few moments that actually matter, and stays quiet the rest of the time. You'll own that judgment layer.
This is a senior individual contributor role. You won't have direct reports, though other team members will look to you for day to day direction. You'll report to the Head of Product and work across teams in Europe, Asia and North America.
WHAT YOU'LL DO
- Own the coaching experience. Start user first, and ensure the behaviour model and the decision logic serve what it feels like to be coached and determine what a coach says and, more often, when it stays quiet.
- Make decisions leave the room. Several organisations across several time zones build against what you define. Your job is to produce things others can act on without you present. Not documentation; thinking made buildable.
- Own the seams. Multiple interfaces across organisational boundaries. Contracts, schemas, who writes what, what happens when a signal doesn't arrive.
- Hold the evidence for coaching quality. Accuracy is the easy half. Helpfulness, personalisation, and whether a coaching moment feels like support are the hard half. You'd apply our thinking, extend it where it's thin, and own the evidence that the coaching is actually good.
- Decide what ships and what waits. Including what a first release is allowed to be wrong about, and what it isn't.
WHAT YOU BRING
You've taken something from undefined to launched. A product that reached real users while accountable for the outcome. You've invented a definition from an ambiguous starting point and can demonstrate the artefact you created to do it.
Product craft
- You go into the material. You write, sketch and prototype your way to a definition rather than arriving with one. The brief describes what you found; it isn't the first thing you produce.
- You feel where an experience fails before the data says so - and you can name why it fails as a principle, not a preference.
- You author coherence. You can take a pile of features, screens, models, and constraints and turn it into one thing that feels intentional beyond a sum of parts.
- You treat AI product failures as context problems before model problems. What information reaches the model, when, in what form, and the minimum that produces an acceptable answer rather than the ideal one.
- You've killed something that worked. A feature that functioned, tested fine, and still wasn't earning its place. Knowing what to cut is part of product judgment.
How the work travels
- Your writing does work. Specs, one-pagers, decision notes; these are how you think, not what you produce after thinking. Your artefacts survive being re-told into other organisations without you in the room.
- You start before the box is drawn. You don't wait for requirements, but you don't build blindly either. You'll decide at 60%, name the risk, and correct as needed.
- You anticipate what another organisation will need. Part of this job is being read correctly by people who may not sit in your meetings, in a different location, in a different working language.
- You've built ambitiously inside real constraint. A platform owner, a regulator, a parent company, an enterprise partner. You treat constraint as material to design with rather than a reason things don’t work.
- You've worked more than one way, and you know which way fits. Discovery, delivery, evaluation, decision-making, practised in different company shapes, so you can say why a method suits this situation.
Location: AU: Melbourne: (260 Burwood Rd)
Workplace: Hybrid
At Xero, we’re here to supercharge small businesses. By making small business more efficient every day, connecting them with big business technology and empowering a community behind them, their potential is limitless. When that happens, we’re not only helping small business, we’ll be building a stronger economy that can change the world.At Xero, we’re here to supercharge small businesses. By making small business more efficient every day, connecting them with big business technology and empowering a community behind them, their potential is limitless. When that happens, we’re not only helping small business, we’ll be building a stronger economy that can change the world.
THE ROLE & TEAM
Product Data Science & Engineering is a portfolio team within Product & Technology. Partnering across Product, Engineering, Design, Marketing, and Commercial leadership, we set Xero’s data science strategy across broad product areas and operate in an AI-native way—using AI to transform how we work, not just what we ship.
The team co-own Xero's metrics stack, experimentation strategy, and enterprise data architecture and builds AI-powered customer experiences including the Jax chatbot and agentic workflows—in partnership with Anthropic, OpenAI, and Google. They also lead AI measurement and productionisation. We work in an AI-native way. That means AI changes how data science itself gets done here, not just what we ship.
This is a new strategic leadership role created to scale Xero's data science and AI capabilities. You will take full ownership of the data science, analytics, ML, and AI strategy and execution across Accounting & Bookkeeping, Small Business, and AI products.
This role combines strategic product vision (including Jax, agentic workflows, and AI-powered features) with platform thinking across the metrics stack, experimentation, data quality, and governance, driving enterprise-level impact across every product team.
WHAT YOU’LL DO
- You will translate company-level objectives into strategic sub-objectives across analytics, ML, AI products, and experimentation, elevating both the quality of decisions and the leverage Xero gains from its data and AI investments.
- Lead, mentor, and grow a team of data scientists, analytics engineers, ML engineers, and managers, scaling the function from ~12 to ~30.
- Design team structures and operating models that preserve high throughput across multiple locations and time zones.
- Operate as an AI-native leader, driving how AI changes how data science operates and ships value across Xero.
- Act as the primary data partner to Product & Technology, advising C-suite and SLT on data utilization, retention strategy, new data domains, and AI investment decisions.
- Represent data science in executive forums and partner with Product, Engineering, Design, Marketing, Commercial, Legal, Privacy and Risk on strategy, prioritisation and governance.
- Own AI governance, model risk, data quality, privacy posture, and experimentation integrity across the portfolio, ensuring company-wide compliance and integrity.
- Drive behavioral, technical, and cultural standards across the vertical. Own and improve global hiring practices, build talent maps, and coach senior leaders and individual contributors to raise the bar across Xero.
- Proactively identify delivery and strategic risks, designing robust organizational processes that yield consistent, high-quality outcomes for Xero.
WHAT YOU’LL BRING WITH YOU
We welcome candidates from analyst, scientist, engineer, or AI/ML-focused backgrounds—a linear data science career is not required. What matters most is that you have operated, shipped, and led at scale within a fast-paced technology environment. As a self-starter and executive partner, you will shape and lead strategic agendas alongside C-suite and senior leadership, driving throughput across multi-location, global teams. You excel at bringing structure to complex cross-functional challenges, managing ambiguity, and maintaining a strong "Xero-first" mindset focused on delivering strategic value and accountable execution.
- Ability to act as a proactive self-starter and executive partner, shaping strategic agendas with C-suite and SLT, presenting to board-level leadership, and influencing key investment decisions.
- Proven ability to manage ambiguity, bring structure to complex cross-functional challenges, sustain throughput across multi-timezone teams, and hold stakeholders accountable to a "Xero-first" standard.
- Skilled in leading managers, coaching leaders into senior roles, developing high-performing teams, and constructively escalating strategic risks when necessary.
- Experienced in navigating teams through significant scale-ups, operating model transformations, and continuous evolution in fast-paced environments.
- Practical experience leveraging frontier-model platforms (e.g., Anthropic, OpenAI, Google) to build agentic workflows, chatbots, and AI-powered products, as well as transforming team operating models using AI workflows.
- Substantial experience leading data science, ML, or analytics functions, with a proven track record of managing other people leaders across multi-team structures.
- Extensive experience building and running enterprise-scale data science functions, AI/ML productionisation, AI governance, model risk frameworks, and experimentation integrity.
- Deep technical fluency across applied ML, analytics engineering, instrumentation, eventing, and schema governance, with a strong engineering mindset focused on building scalable platforms and reusable architectures.
- Prior exposure to SaaS or small business segments, with a track record of driving scale, data quality, and privacy compliance.
- Technical bachelor's or master's degree (PhDs welcome for applied, high-impact organizational challenges), supported by public thought leadership or open-source contributions in data or AI.
WHERE AND HOW YOU CAN WORK
This role is based in Sydney or Melbourne with a flexible hybrid working setup, spending 1 to 2 days per week in the local office to connect and collaborate.
Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
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: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Office of the Chief Commercial Officer is a small team that works directly with our CCO, go-to-market leadership, and company leadership on Anthropic’s highest-priority commercial initiatives. We take on problems that do not sit cleanly inside one team, such as standing up a program that spans Product, Finance, Legal, and Sales, or preparing the material our executives and Board use to make decisions. Our commercial business is growing faster than its operating processes can be built, so a growing share of the job is stepping into gaps and running something important, while making sure other teams are building the capabilities to permanently own.
You will own workstreams end to end. One week that means running the go-to-market side of a pressing situation, from the communications plan for customers and account teams to the daily readout for executives. Another week it means building the analysis behind a resourcing decision or a new program and writing it up for the CCO. This is an internal role. You will report to the CCO’s chief of staff, and you will have an unusually broad view of how the company makes decisions.
Key Responsibilities:
Drive priority go-to-market initiatives from plan to delivery, removing blockers, escalating early, and connecting the right people across teams at the right time
Build the analysis, draft the document or deck, and turn input from many teams into a recommendation executives can act on
Prepare content for the CCO and leadership team, including weekly staff meetings, updates to the Office of the CEO, Board materials, and leadership offsites
Track the go-to-market organization’s top priorities and keep a current view of status, owners, and risks
Act as a bridge between go-to-market and Product, Finance, Legal, Safeguards, and Research, so that what account teams hear from customers reaches product decisions and those decisions reach account teams in a usable form
Step in where something important has no clear owner, run it until it has a permanent home, and hand it over cleanly
Close out same-day executive requests quickly and to a high standard
You may be a good fit if you:
Have 4+ years of experience in management consulting, strategy and operations, a chief of staff team, or a similarly rigorous environment working with senior executives
Structure ambiguous problems well and get to a clear recommendation
Can get to a number yourself in a spreadsheet, in SQL, or with Claude, check it against a second source, and explain where it came from
Write and speak clearly and briefly for executive audiences
Are as willing to maintain the tracker and chase the last open items as to write the strategy
Are comfortable with significant autonomy and with priorities that shift on short notice, pay close attention to detail, and know when to escalate
Build trust quickly with senior people across the company who are short on time
Use AI tools as a core part of how you work
Care about Anthropic’s mission and about getting safe, useful AI to customers
Strong candidates may also have
Experience in technology, SaaS, or enterprise software, or exposure to go-to-market strategy, sales operations, or customer success
Experience running a product launch, a program office, or another cross-functional effort with many owners and a fixed date
Familiarity with how large enterprises buy and adopt technology, including security, legal, and procurement review
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$190,000
—
$270,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Welcome to
Torrero
- all-in-one source for cutting-edge white label casino, sportsbook solutions and B2B aggregation. Built on a foundation of trust and compliance, we proudly offer an extensive library of 30,000+ games sourced from diverse providers, positioning Torrero as the preferred partner for transforming the iGaming enterprise. With huge number of sports events and easy payment options, we cater to diverse interests. Available in 35+ languages, we make gaming accessible worldwide.
If you like a fast paced, dynamic and start-up work culture with full of passionate and enthusiastic mindsets, you’re most welcome to explore the opportunity. This is a chance to take part in an exciting journey as the company grows and expands its business at a rapid pace.
About the project
We're looking for a senior Python Developer.
Our tech stacks are Python, Django, PostgreSQL, MongoDB, RabbitMQ, and Redis.
Examples of tasks: implementation of regulatory and compliance requirements, integration with government platforms and reporting services, development of KYC and customer verification processes, responsible gambling features, risk management solutions, and other business-critical platform capabilities.
Your expertise to meet the requirement:
Commercial development experience
5+ years
(with hands on coding on your own, even without without AI tools)
Excellent knowledge in Python 3.x and Django
Experience in the design and development of complex highly-loaded systems
Excellent knowledge of general programming issues: design patterns, data structures, and algorithms
Native proficiency or fluent in
Russian language
Upper intermediate or intermediate proficiency in
English language
Will be a plus:
Experience with SQL and NoSQL DBs, and understanding of the key features of each of them
Experience in iGaming, KYC, compliance, or other regulated domains
Your key responsibilities include:
Make architectural decisions for product backend
Implement design, develop backend and write tests
Monitor trouble proof operation of production
Monitor performance, and optimize wherever necessary
We appreciate:
Ability to quickly and efficiently solve tasks
Independence, responsibility, initiative, and keep attention to detail
A flexible and systematic approach to solving complex problems
Right perfectionism
Ability to decompose large tasks
We offer:
Fully remote job - work from anywhere you want
Flexible working hours
Competitive compensation
28 paid days off per year
3 paid sick days a year without medical certificate
Seniority leave
Birthday Day off
Real career opportunities and professional growth
The great team across the world
Hiring Stages:
Introductory Call
Hiring Manager Round
Technical Assignment
Candidate Reference Check
Offer Letter
Location: Calgary, Canada; Toronto, Canada; Vancouver, Canada; Ottawa, Canada
Top 3 Reasons To Join Us
Competitive salary
100% Remote
Insurtech industry leader worldwide
About Us
At CoverGo, our mission is to help insurance companies and banks to make insurance 100% digital, to better serve their customers.
We are the leading provider of cutting-edge technology to the insurance industry
We’re also the winner of the insurtech of the year in all of Asia in 2021 and other awards globally
We work with enterprise clients such as AXA, MSIG, DBS, Fubon, Bank of China Group Insurance, and many more
We're an international, diverse team with over 20 nationalities and team members working remotely from all over the world
We are fully funded and backed by reputable VC funds and strategic institutional investors
We have offices in Singapore, Hong Kong, and Vietnam. We plan to expand to the US and other markets in the upcoming months
We’ve grown our annualized revenue by over 1000% since January 2021
We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world
What You Will Do
Work with clients and technical resources to identify their business problems and develop the right approach and analytical solution
Produces Functional Specification; interacts extensively with various business units and teams for Requirements Gathering and Elicitation. The functional specification is the basis of system development and enhancement
Lead (direct report) Business Analysts to grow and continuously improve their craftsmanship
Develops test plans for new workflows and processes; documents process changes
Create process models for current and future states for process analysis
Initiate process assessments to evaluate its efficiency and effectiveness and create findings and improvement recommendations
Complete process gap analysis and transactional process documentation requests using consultative and proactive engagement frameworks
Execute the end-to-end document lifecycle to ensure consistent quality work from the process creation to consumption
Ensure that procedures for controlling, preserving, securing, and updating business process documentation are followed
What We Need
A degree in Business, IT or any relevant field
At least 7 years of experience in a BA role
Previous experience working in the insurance industry or Insurtech is a must
Experience in advising and guiding clients on complex transformation programs with key domain expertise in business readiness, business adoption, change strategy, visioning, execution, stakeholder management, benefits management, and communication
Basic understanding of the technical development cycle of a mobile application or web portals
Agile/Scrum Framework for Project Planning & Release Management experience is a must
Strong written and verbal communication skills in English
Why You’ll Love Working Here
Full-remote
Local time zone office hours, work by your schedule
Paid annual leaves
Employee stock options
Performance bonus
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.
Location: Remote - Bengaluru, India
MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data.
This is the senior product role on a small, high-leverage product team. You'll own key pieces of the product line — from how we position it, to how we price it, to how the field sells it. You'll work closely with engineering and be the person Marketing and Field teams looks to for the answer to "why us, why now”.
We need a product leader who lives close to customers and to revenue, who can hold a deeply technical conversation with multiple stakeholders - from technical buyers to executive, and who treats GTM as a first-class part of the product — not something that happens after the product is "done."
What You Will Do:
Growth strategy for our Data Intelligence products
— where we play, who we sell to, how we win, and the sequencing of bets that gets us there
Partnerships
— work closely with key partners to develop ground breaking products
The customer and buyer motion
— being in front of inference platform teams, data platform leads, and the buyers who decide. Joining strategic deals. Running the win/loss loop and feeding it back into strategy.
Positioning and narrative
— partnering with Marketing on how the AI stories land in market, what we publish, and how a first-time buyer encounters MinIO
Field partnership
— building the assets sellers actually use, supporting the deals that matter, making sure the field can run an inference-buyer or lakehouse-buyer conversation confidently
Pricing and packaging
— how Data Intelligence products are sold, how the AI and Analytics motions are priced differently if they should be, how we capture value as workloads grow
Competitive intelligence
— knowing the AI training inference competitive landscape, and shaping how we differentiate
Partner GTM for AI
— the AI ecosystem is partner-heavy, and unlocking it is part of the role
Influence on the product
— through customer signal, pipeline data, and competitive insight you will be the most informed external voice in the room to influence direction.
Your Skills and Experience:
8+ years in product management, with at least 3 years on infrastructure, data, or AI/ML products sold to technical buyers
Demonstrated fluency in modern AI and analytics stacks — you don't need to have trained a foundation model, but you should be conversant in how training and inference pipelines actually consume storage, key tradeoffs and why it matters, and how data platform teams make build/buy decisions
A track record of working closely with field teams on real revenue — you've sat in on deals, you've built enablement that sellers actually used, you've changed a deal's outcome with a well-timed product conversation
Partnership with marketing on crafting compelling narratives, presented at external conferences, webinars
Strong analytical instincts — you reach for data to test your hypotheses, not to confirm them
The ability to write clearly and think rigorously in writing. Most of the work that compounds in this role is written
Excellent partnership with engineering — you've earned engineers' trust before by being technically credible and by making prioritization defensible
Real comfort with pricing and packaging decisions — if you've owned or co-owned them, not just commented on them, that's a big plus
Equal Opportunity Policy (EEO)
MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
Location: New York, San Francisco
Workplace: OnSite
Tempo is a layer-1 blockchain purpose-built for stablecoins and real-world payments, born from Stripe’s experience in global payments and Paradigm’s expertise in crypto tech.
Tempo’s payment-first design provides a scalable, low-cost predictable backbone that meets the needs of high-volume payment use cases. Our goal is to move money reliably, cheaply, and at scale. Our north star is simplicity for users: fintechs, traditional banks, merchants, platforms, and anyone else looking to move their payments into the 21st century.
We're building Tempo with design partners who are global leaders in AI, e-commerce, and financial services: Anthropic, Coupang, Deutsche Bank, DoorDash, Mercury, Nubank, OpenAI, Revolut, Shopify, Standard Chartered, Visa, and more.
We’re a team of crypto-optimists, building the infrastructure needed to bring real, substantial economic flows onchain. We like to move fast and swing for the fences — join us!
Tempo is building the future of enterprise payments on-chain, and we need someone to own the success of our partners after they sign. As our Technical Account Manager, you’ll manage a book of enterprise customers as their primary point of contact—from onboarding and integration through launch and ongoing growth.
This is a founding role. You’ll build trusted relationships with your partners while defining the playbooks, processes, and feedback loops that turn early design partners into long-term anchors of our ecosystem.
WHAT YOU’LL DO
Account Management
- Own a portfolio of partners as their primary post-sales contact, accountable for relationship health, technical success, and ongoing engagement
- Build deep knowledge of each partner’s use case, architecture, and business goals, translating them into clear account plans and success milestones
- Lead regular check-ins and business reviews to track progress, address risks, and identify opportunities for deeper adoption alongside the Partnerships team
Onboarding & Technical Success
- Own the handoff from GTM and guide partners through onboarding, integration, and production launch
- Work with partner engineering teams to define integration scope, resolve blockers, and establish production readiness
- Serve as the primary escalation point for technical and operational issues, coordinating with engineering and product and keeping partners informed through resolution
- Provide ongoing technical guidance as partners scale their implementations and adopt new Tempo capabilities
Ecosystem & Scale
- Develop repeatable playbooks for onboarding, account management, and integration support across enterprise and ecosystem segments
- Establish account health metrics and success frameworks to proactively identify adoption gaps and partner risks
- Act as the voice of your partners internally, translating feedback into actionable product, engineering, and documentation improvements
ABOUT YOU
- Proven experience in technical account management, technical customer success, or a similar role at a blockchain, API-first, or fintech infrastructure company
- Experience managing a book of partners or customers, carrying relationships from signed agreement through scaled production deployment
- Strong technical fluency with APIs, integrations, and infrastructure; comfortable troubleshooting alongside developers and engineering teams
- Comfortable working across business and technical stakeholders, connecting implementation details to business outcomes
- High EQ and strong ownership; partners trust you as an extension of their team, and you follow through on commitments
- Experience with payments, blockchain infrastructure, or validator operations is a strong plus
ATTRIBUTES
- Scrappy and hands-on—you’ll dig into a complex integration without being asked
- Proactive and anticipatory; you identify risks before they become partner problems
- Organized and dependable, balancing priorities across a growing portfolio
- Clear communicator who translates technical complexity into business value
- Energized by ambiguity and the pace of an early-stage company
- Deeply curious about payments, blockchain infrastructure, and the ecosystem being built around stablecoins
Location: United States
Workplace: remote
Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.
Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country.
Role Summary:
As a Product Marketing Manager, you will be a key part of the execution engine behind Filevine's go-to-market motions. You will take our sophisticated Legal Operating Intelligence System capabilities and turn them into highly effective customer-facing assets, product content, and targeted tier-1 through 3 launches.
Working directly at the intersection of Product Management, Sales, and Marketing, you are responsible for keeping pace with an AI-forward environment where speed wins. This role requires a highly technical, execution-oriented marketer who thrives under tight timelines and loves getting their hands dirty building collateral, analyzing competitors, and helping cross-functional teams move forward together.
What You'll Do:
Product Content & Technical Literacy
Messaging and Positioning:
You will own messaging and positioning of the individual products within the portfolio for business partners and stakeholders.
Collateral Engine:
Author high-impact, foundational product content, customer presentations, pitch decks, feature blogs, and clear value-proposition briefs.
Technical Literacy Translation:
Take complex, technical AI architectures and LLM capabilities and translate them into intuitive, emotionally resonant customer facing collateral.
Flawless Execution:
Maintain high-quality craftsmanship while building assets rapidly to match the velocity of our product engineering cycle.
Launch Execution & GTM Orchestration
Cross-Functional Delivery:
Partner closely with Product Management, Sales, and Marketing teams to ensure everyone contributes effectively to GTM strategies and hits their respective milestones.
Use Case Activation:
Deeply understand buyer behaviors to develop and activate Filevine’s core use-case messaging, ensuring our positioning resonates from solo practitioners to enterprise legal teams. Understanding various types of legal practices is a must, direct legal industry experience is a strong plus!
Sales Enablement & Battlecard Culture
Battlecard Architecture:
Conduct ongoing competitive research to build, update, and deploy actionable battlecards and win/loss insights to keep Sales ahead of legacy tech and AI point solutions.
Revenue Enablement Support:
Support the implementation of comprehensive training programs to ensure Sales, Product Management, and Partner teams can effectively position Filevine’s unique advantages.
Market and analyst relations/awareness :
Track competitive and analyst environment to support briefings and reports that help to shape how Filevine is seen/understood by the market
Win/loss discipline:
Own a consistent win/loss practice and turn the findings into positioning changes.
Preferred Technical Acumen
Generative AI & LLMs:
Comfort with technical concepts, APIs, modern software architectures, and specific familiarity with Generative AI, LLMs, or legal workflows.
Technical Translation:
Ability to translate complex technical concepts and SaaS architecture into clear, compelling customer-facing materials and value propositions.
Cross-Functional Tech Alignment:
Ability to collaborate effectively with Product Management and Engineering teams to translate product roadmaps into GTM strategies.
Qualifications:
Professional Experience:
3–5 years of dedicated product marketing experience within a B2B SaaS environment, ideally experiencing the high-growth transition from Series C to IPO. Previous experience as a legal professional is a strong plus.
AI-Forward Execution & Velocity:
Proven experience working in a fast-paced technology or AI environment. You understand that speed wins, and you have a track record of flawlessly executing GTM tasks under tight timelines.
Proactive Writer & Practitioner:
A stellar portfolio demonstrating your ability to write clear, compelling product content and high-stakes customer-facing presentations.
Cross-Functional Collaboration:
Strong interpersonal skills with demonstrated success partnering across product, sales, and marketing teams to execute unified strategies.
Analytical & Technical Curiosity:
Comfort with technical concepts, APIs, and modern software architectures. Specific familiarity with Generative AI, LLMs, or legal workflows is highly advantageous.
Education:
Bachelor’s degree in Marketing, Business, Technical Writing, or a related field. A JD is also accepted and encouraged.
Compensation Information: $120k - 140k
The base salary range represents the low and high end of the salary range for this position. The total compensation package for this position will be determined by each individual’s location, qualifications, education, work experience, skills and performance. We believe in the importance of pay equity - the range listed is just one component of Filevine’s total compensation package for employees. This position is also eligible for a paid time off policy, as well as a comprehensive benefits package.
Work Location Expectation: Filevine maintains offices in Salt Lake City, San Francisco, Chicago, and New York. Candidates based in or near these metropolitan areas will work on a hybrid or in-office schedule, while candidates located outside these regions are eligible for remote work
Cool Company Benefits:
- A dynamic, rapidly growing company, focused on helping organizations thrive
- Medical, Dental, & Vision Insurance (for full-time employees)
- Competitive & Fair Pay
- Maternity & paternity leave (for full-time employees)
- Short & long-term disability
- Opportunity to learn from a dedicated leadership team
- Top-of-the-line company swag
Privacy Policy Notice
Filevine will handle your personal information according to what’s outlined in our Privacy Policy.
Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.
Filevine is an Equal Opportunity Employer. Qualifications for employment, promotion and other terms and conditions of employment are based upon the ability to perform the job. Equal-employment opportunities are provided to all applicants and employees without regard to race, creed, religion, color, age, national origin, sex, disability, veteran status, or other legally protected class. Filevine is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or accommodation due to disability, or if you have concerns related to Filevine’s equal employment opportunities, you may contact us at legal@filevine.com
Location: Remote-Texas; Remote-Florida; Remote-North Carolina; Remote-Arizona; Remote-South Carolina
Workplace: Remote
LIFE AT UIPATH
The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.
To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.
Could that be you?
YOUR MISSION
Do you see opportunities where AI, automation, and intelligent agents can transform how work gets done? Are you passionate about helping healthcare organizations improve member experiences, reduce administrative burden, optimize costs, and accelerate operational outcomes?
At UiPath, we are redefining enterprise automation through Agentic Automation—bringing together AI agents, robots, people, and enterprise systems to orchestrate end-to-end business processes. As a Healthcare Sales Engineer focused on our Payer domain, you will serve as a trusted advisor to health plans and payer organizations, helping them identify, design, and scale transformative solutions that improve operational efficiency, compliance, and member outcomes.
You will partner with executives, business stakeholders, and technical teams to uncover opportunities where AI and automation can drive measurable business value while positioning UiPath as the strategic platform for enterprise transformation.
WHAT YOU'LL DO AT UIPATH
- Serve as a strategic advisor to healthcare organizations with an emphasis on payer organizations, helping them identify opportunities to improve business outcomes with Agentic Automation and AI-powered process transformation.
- Evangelize the value of combining AI agents, automation, process intelligence, and human expertise to optimize complex healthcare operations.
- Partner with account teams to develop account strategies, identify growth opportunities, and align UiPath solutions to customer priorities and business objectives.
- Conduct discovery workshops with business and technical stakeholders to understand current-state operations, process challenges, and transformation opportunities.
- Leverage process intelligence methodologies to identify inefficiencies, quantify value potential, and build automation roadmaps.
- Design and deliver compelling demonstrations, executive presentations, and proof-of-value engagements that showcase UiPath’s platform capabilities.
- Architect solutions that combine AI, automation, orchestration, document understanding, and agentic workflows.
- Collaborate with Product + Engineering, Customer Success, and Industry Solution teams to ensure customer feedback influences product innovation and solution development.
- Develop industry-specific solution narratives and use cases tailored to healthcare priorities.
- Support technical evaluations and guide customers through architecture, security, governance, scalability, and deployment discussions.
- Act as a thought leader within the healthcare payer market and represent UiPath at customer meetings, industry events, and executive briefings.
- Share best practices, lessons learned, and industry insights across the UiPath go-to-market organization.
WHAT YOU'LL BRING TO THE TEAM
- Deep expertise in Healthcare Payr operations, including areas such as:
- Claims management
- Prior authorization
- Utilization management
- Care management
- Provider data management
- Enrollment and eligibility
- Risk adjustment
- Revenue integrity
- Appeals and grievances
- Customer/member service operations
- Experience helping healthcare organizations improve operational performance through technology-driven transformation initiatives.
- Ability to connect business challenges with technical solutions and articulate measurable business value.
- Strong understanding of AI, automation, enterprise applications, and modern technology architectures.
- Experience leading consultative discovery conversations with executive, business, and technical stakeholders.
- Demonstrated ability to simplify and communicate complex technical concepts to both technical and non-technical audiences.
- Knowledge of continuous improvement methodologies, operational excellence frameworks, and process transformation practices.
- Experience working with large enterprise organizations in complex, highly regulated environments.
- Background in sales engineering, consulting, solution architecture, digital transformation, intelligent automation, or related fields.
- Intellectual curiosity, adaptability, and a passion for continuous learning.
- Strong collaboration and relationship-building skills.
- Requires up to 25% travel
- Candidates must be authorized to work in the United States for this role
#LI-KS6
Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned.
Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.
We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.
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: Ireland, Dublin
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Role overview
We're looking for a Staff Network Systems Engineer to help drive the transition of our global network infrastructure from manually managed and inconsistent configurations to a standardised, version-controlled and increasingly automated operating model.
This hands-on staff-level individual contributor will establish Infrastructure as Code practices, reusable automation, automated validation and safe delivery pipelines. The role will reduce configuration drift, make changes repeatable and auditable, and help the wider team adopt modern software-engineering practices.
Working across network engineering, security, architecture and platform teams, you'll help frame and influence technical direction, create practical standards and guardrails, and remain actively involved in enterprise network engineering and operational delivery.
What you'll be doing:
Assess the network estate, toolchain and operational workflows; identify sources of configuration variance, manual effort and change risk; and help define a phased modernisation roadmap.
Establish the Infrastructure as Code operating model, including the authoritative source of truth, configuration standards, source control, peer review, testing, release governance and secure handling of credentials.
Build reusable automation using object-oriented or comparable programming languages such as Python and Go (Golang), together with Terraform, Ansible, APIs and configuration-management tooling.
Develop CI/CD pipelines with automated linting, testing, intended-state validation, drift detection, policy checks, approvals, controlled rollout and reliable rollback patterns.
Partner with engineering, architecture and security teams to translate network intent into version-controlled implementations and influence reference architectures, standards, lifecycle plans and service roadmaps.
Lead the safe migration of existing services into the automated model while remaining hands-on during complex delivery, business-as-usual operations, critical changes, troubleshooting and major incidents.
Participate in technical authority and design-review forums, mentor engineers, and ensure automation becomes a sustainable team capability rather than knowledge held by a single specialist.
What we are looking for:
A strong track record of modernising network infrastructure through automation or Infrastructure as Code in a large, complex production environment.
Strong software-engineering skills in object-oriented or comparable programming languages such as Python and Go (Golang), including maintainable code, structured data, API integration, testing, error handling and documentation.
Practical experience with Terraform, Ansible or comparable tooling, including reusable, idempotent automation components and controlled infrastructure delivery.
Strong working knowledge of Git, pull-request workflows, CI/CD pipelines, automated testing, release controls, policy enforcement and secrets management.
Deep enterprise networking knowledge across routing, switching, wireless, resilient design, network access control and secure remote connectivity, together with advanced Juniper Mist, EX Series and Junos experience or equivalent platform expertise.
Expert troubleshooting and engineering judgement, with experience supporting operational delivery, complex changes, major incidents and root-cause improvement.
Staff-level influence and communication skills, including shaping technical direction across teams, building consensus, contributing to governance forums and developing other engineers.
Desirable Experience
Network APIs and data models, including REST, NETCONF, RESTCONF, JSON, YAML and YANG-based workflows.
GitHub Enterprise, GitHub Actions, automated policy enforcement, artefact management and developer enablement.
Azure or AWS networking, enterprise authentication, Zero Trust principles and network observability platforms.
Architecture governance, technical authority panels, strategic vendor engagement and globally delivered service operations.
High-availability gaming, digital-media, creative or similarly demanding production environments.
Work Expectations and Measures of Success
This is a staff-level role combining hands-on engineering with technical leadership across a global network environment. You'll build production automation, guide others and remain engaged with operational delivery. The objective is to establish an engineering system the team can operate and improve over time while maintaining secure, resilient and supportable network services.
Success will be demonstrated through:
Increased coverage of network infrastructure managed through version-controlled automation.
Reduced configuration drift, manual intervention, operational toil and dependency on individual subject-matter experts.
Shorter and more predictable change lead times, with improved auditability, validation and rollback confidence.
Lower change-failure rates, maintained service reliability and faster recovery from configuration-related incidents.
Sustained adoption of automation standards, modules and delivery practices across the wider engineering team.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role is eligible for SIE’s top-tier benefits package that includes paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click
here
to learn more.
Base $109,400 - $164,000 + Bonus & Benefits.
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
УдалённоTaiwan (Remote)
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.
УдалённоPoland; Georgia; Serbia; Several organisations across several time zones build against what you define
ГибридDesign team structures and operating models that preserve high throughput across multiple locations and time zones; We welcome candidates from analyst, scientist, engineer, or AI/ML-focused backgrounds—a linear data science career is not required; Proven ability to manage ambiguity, bring structure to complex cross-functional challenges, sustain throughput across multi-timezone teams, and hold stakeholders accountable to a "Xero-first" standard
УдалённоСША; Lastly, the provided range is the expected salary for candidates in the U.S
headSan Francisco, CA
seniorГеография найма не уточнена
УдалённоleadCalgary, Canada; Toronto, Canada; Vancouver, Canada; Ottawa, Canada; Local time zone office hours, work by your schedule
ГибридМосква
УдалённоRemote - Bengaluru, India
ОфисNew York, San Francisco
УдалённоUnited States; Candidates based in or near these metropolitan areas will work on a hybrid or in-office schedule, while candidates located outside these regions are eligible for remote work
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