Location: Belgrade, Serbia
We are seeking a Build and Release Engineer to help improve the build and deployment pipeline for our games and tools. In this role, you will be working closely with Engineering and QA teams to advance and optimize the build pipelines and improve redundancy of our build services.
Responsibilities
Support and improve development pipelines that the core team relies upon for day-to-day game development (Continuous Integration, build verification and deployment, performance, stability, etc.);
Analyze build system’s performance, troubleshoot and resolve build and deployment issues, work with engineering teams to prevent future issues;
Keep the build tools up to date, coordinating the updates with other teams;
Review proposed solutions and code written by peers;
Update pipeline documentation and configuration guides;
Take responsibility for efficiency and maintainability of the build system;
Maintain and extend platform tools;
Hands-on contribution to the game development as a secondary role.
Requirements
Requirements
Development and debugging experience in C++;
Good grasp on Computer Science fundamentals (algorithms, data structures, operating systems);
Familiarity with version control systems (Perforce, Git, SVN);
Familiarity with Gradle or XCode;
Good analytical & troubleshooting skills;
Strong communication skills;
Good written English skills;
Self-driven and a team player with a solid work ethic;
Inspired to make everyone's job easier by improving team efficiency and reducing technical barriers.
Would be a plus
Development experience in the following languages: Python, C#, TypeScript;
Experience with build automation and CI/CD tools (e.g. TeamCity, Jenkins);
Experience with configuration management and infrastructure as code tools (e.g. Terraform, Ansible, Puppet, etc.);
Experience with Windows administration and PowerShell;
Experience with OSX and Linux environments;
Experience with cloud technologies, specifically AWS;
Experience with branching and merging;
Experience with mobile development and publishing;
Experience working across internal and remote engineering teams using agile methodologies.
Benefits
Working with an international team of world-class professionals on exciting and challenging projects
Learning & Development opportunities – mentoring, lectures, participation at industry conferences and events
Medical Care package
Sensibly flexible working hours
Breakfasts, snacks and fruits available during the day, tea and coffee machines
Location: Yerevan, Armenia
We are seeking a Build and Release Engineer to help improve the build and deployment pipeline for our games and tools. In this role, you will be working closely with Engineering and QA teams to advance and optimize the build pipelines and improve redundancy of our build services.
Responsibilities
Support and improve development pipelines that the core team relies upon for day-to-day game development (Continuous Integration, build verification and deployment, performance, stability, etc.);
Analyze build system’s performance, troubleshoot and resolve build and deployment issues, work with engineering teams to prevent future issues;
Keep the build tools up to date, coordinating the updates with other teams;
Review proposed solutions and code written by peers;
Update pipeline documentation and configuration guides;
Take responsibility for efficiency and maintainability of the build system;
Maintain and extend platform tools;
Hands-on contribution to the game development as a secondary role.
Requirements
Requirements
Development and debugging experience in C++;
Good grasp on Computer Science fundamentals (algorithms, data structures, operating systems);
Familiarity with version control systems (Perforce, Git, SVN);
Familiarity with Gradle or XCode;
Good analytical & troubleshooting skills;
Strong communication skills;
Good written English skills;
Self-driven and a team player with a solid work ethic;
Inspired to make everyone's job easier by improving team efficiency and reducing technical barriers.
Would be a plus
Development experience in the following languages: Python, C#, TypeScript;
Experience with build automation and CI/CD tools (e.g. TeamCity, Jenkins);
Experience with configuration management and infrastructure as code tools (e.g. Terraform, Ansible, Puppet, etc.);
Experience with Windows administration and PowerShell;
Experience with OSX and Linux environments;
Experience with cloud technologies, specifically AWS;
Experience with branching and merging;
Experience with mobile development and publishing;
Experience working across internal and remote engineering teams using agile methodologies.
Benefits
Working with an international team of world-class professionals on exciting and challenging projects;
Learning & Development opportunities – mentoring, lectures, participation at industry conferences and events;
Medical Care package;
Sensibly flexible working hours;
Breakfasts, snacks and fruits available during the day, tea and coffee machines;
Friendly team and a family-like environment;
Additional benefits – care bonus to cover health, educational and safety needs.
Location: United States, San Diego, CA
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
As a member of the Production Operations Engineering team within the platform technology group, you will help keep key user experiences on the platform available, resilient and high performing across time zones and critical business periods, while continually enabling our service teams to deliver new and exciting products and technical features. The team is trusted to respond when production services need support, including through rotational on-call, incident response and urgent operational escalations. You will be empowered to define and lead technical initiatives, helping identify and proactively drive improvements in process, technology and production operations supporting millions of users.
This Staff individual contributor role carries broad technical ownership: a recognized expert and hands-on system architect whose decisions shape reliable production services across multiple partner teams. The ideal candidate brings deep full-stack engineering and production experience, strong automation instincts, cloud/container operations expertise, incident leadership, and curiosity for using AI-assisted workflows to improve operational quality, release confidence and delivery speed.
Responsibilities:
Lead application operations and production support for internal and public-facing services in AWS and container environments, with focus on availability, resiliency, scalability, performance and security.
Define and evolve production operations architecture, readiness standards and reusable patterns for services/features, including automation, monitoring, runbooks, rollback plans and operational acceptance criteria.
Architect and scale tools, scripts and automation frameworks across API/service telemetry, release validation and operational readiness to reduce toil and improve incident response.
Establish CI/CD operational gates, production validation practices and governance mechanisms that improve release confidence, scalability and engineering velocity.
Advance observability, event correlation and operational metrics using service health signals, automation health, release risk indicators, dashboards and alerts that reduce MTTD and MTTR.
Partner with SRE, data services, CI/CD, service engineering, platform hosting, product and business teams to shift reliability left and improve shared ownership of production quality.
Lead performance, capacity, infrastructure modernization and cost optimization for services using AWS, Kubernetes, EKS/UKS, autoscaling and related cloud patterns.
Use AI-assisted and agentic tools, such as Codex, Claude, Cursor or similar, to accelerate development, operational automation and production-signal analysis.
Provide rotational on-call support and improve incident workflows using Slack, JIRA, ServiceNow, BigPanda and related escalation systems; lead RCA and systemic fixes for recurring production issues.
Key Qualifications:
Staff-level hands-on engineer equally comfortable with software development, systems engineering, production operations and service architecture.
System Architect and full-stack engineer who connects customer experience, application behavior, APIs, data flows, infrastructure and operational controls into resilient designs.
Proven ability to define operational standards, quality gates, reusable frameworks and governance practices across teams.
Independent technical leader who influences cross-functional partners, mentors engineers and drives adoption of scalable practices.
Strong systems-thinking and troubleshooting depth across runtime, cloud, Kubernetes/EKS/UKS, network, observability, release and incident layers.
Required Skills:
Distributed service architecture and operations, Unix/Linux systems internals, networking, TCP/IP, HTTP/HTTPS, DNS, load balancing and API troubleshooting.
AWS service operations, including ALB, Route 53, API Gateway, Lambda, RDS, DynamoDB, ElastiCache and Java/API services.
Containers and orchestration, including Docker, Kubernetes, EKS/UKS and Fargate.
Automation and software development in Python, Go or Java; source control and configuration management using GitHub/Git, Ansible, Chef or similar.
Infrastructure as Code and CI/CD using Terraform, CloudFormation, Jenkins, Spinnaker or comparable tooling.
Observability, incident management and collaboration tooling such as Datadog, CloudWatch, Splunk, Grafana, BigPanda, Slack, JIRA and ServiceNow.
Strong communication skills with the ability to adjust messaging by audience, translate complex technical issues for cross-functional business partners, and articulate both technical detail and customer/business impact.
Data reporting, analytics or operational data platforms such as SQL, MySQL, Oracle, Snowflake or big data systems.
AI-assisted development or agentic engineering workflow experience using tools such as Codex, Claude, Cursor or similar.
Experience:
BS degree or equivalent in Computer Science, Software Engineering or related technical area.
10+ years operating and supporting services in production environments at scale.
5+ years AWS Cloud experience deploying, tuning and operating Java/API services.
Hands-on incident management experience, including on-call, incident coordination, stakeholder communications, RCA and corrective-action tracking.
Payment processing, commerce, entitlement, wallet, fraud or financial systems experience is a plus.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role
is eligible
for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products.
This role also may be eligible for a bonus package.
Click
here
to learn more.
The estimated base pay range for this role is listed below.
$199,400
—
$299,200 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Remote: United States
Workplace: Remote
At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.
Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.
We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.
APPLYING TO RENDER
We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.
Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.
ABOUT THE ROLE
Render is building a channel partnerships program from the ground up, and we're hiring our first Head of Revenue Partnerships to lead it — reporting to our VP of Revenue. You'll build Render's relationships with development agencies, PE firms, and — over time — systems integrators, to help Render customers who are migrating off competitive platforms, or who are pursuing new builds with Render.
WHAT YOU'LL DO
- Map partner types — agencies, PE firms, SIs — and determine which are the best fit for Render's product and customer base.
- Build relationships with execs at partner firms to understand their priorities, pricing, and delivery models.
- Develop commercial agreements with partners to co-sell Render alongside their own services, to both existing and net-new customers.
- Develop Render-specific narrative and enablement materials: decks, pilot frameworks, ROI overviews.
- Design co-marketing models with partners — customer dinners, digital campaigns, conferences, and joint events.
- Work with our technology partner team to build a co-sell motion for large & enterprise accounts.
- For partners with a portfolio model, like PE firms, design scaled activation programs — webinars, cohorts, office hours — that drive Render adoption across many portfolio companies at once, without requiring 1:1 touch on every account.
- Drive the creation of new pipeline for both Render and the partner, and own the path from first engagement to partner-qualified referral to closed revenue.
- Set up the operating rhythm of each partnership: regular engagement cadences, co-sell activity, and a clear, repeatable path from first call to referral.
- Partner closely with Render's internal Sales and Delivery/CS leaders to align on how reps and partners work together, keep deal registration and pipeline hygiene clean, and avoid channel conflict with internal teams
- Define and report on success metrics for the channel, evolving from early engagement signals toward pipeline and revenue impact as the program matures.
- Build out a team of partner managers over time, dedicated to each partner type.
WHAT WE'RE LOOKING FOR
- 10+ years of experience in B2B partnerships, sales, GM/general management, or solutions engineering roles, ideally at a B2B SaaS, Infra or PLG company.
- A generalist with strong seller DNA — someone who is outcomes-obsessed and comfortable being measured on pipeline creation, deal influence, and revenue, not just relationship-building.
- Comfort building a program without a playbook: you can hypothesize, run small experiments, and iterate quickly rather than waiting for a fully-formed process.
- Real experience working with solutions partners, agencies, or SIs — ideally in co-sell, referral, or partner-sourced revenue motions.
- A proven record of getting deals done — willingness to travel, get in front of partners in person, and find creative ways to keep partners engaged and motivated.
- Strong cross-functional operating skills — you'll work daily with Sales, Delivery/CS, Product Marketing, and Legal, and need to build trust and alignment across all of them.
- Comfort operating at the executive level, both with partner leadership and internally at Render.
- A technical enough orientation to credibly engage with developer-focused partners and speak to how AI is changing the questions partners are asking.
NICE-TO-HAVES
- Experience building or scaling a channel program at an infrastructure, dev-tools, or other PLG-motion company.
- Familiarity with partner/ecosystem tooling such as Crossbeam, or experience running account mapping and pipeline reviews jointly with external partners.
- Experience navigating the emerging AI SI / AI consulting partner category.
If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.
BENEFITS
- 4 weeks of paid vacation.
- 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.
- Long-term disability, life insurance, and 401K plans.
- 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.
- Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
- Monthly cell phone and internet subsidy.
- Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
- Continuous learning benefits & related support.
This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization.
Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
We encourage all who are interested to apply. We can't wait to hear from you!
Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view
Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view
Location: Remote; Seattle, WA; New York, NY; San Francisco, CA
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
*Open to hiring remote across the US — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv.
We're looking for a Designer, Growth (Product Marketing) to sit at the intersection of brand, performance marketing, and generative media. This is not a brand systems or campaign concepting role — it's a high-volume, output-driven design role. You'll own the visual execution of paid and performance marketing across video, motion, and static formats, producing assets that are on-brand, well art directed and built to convert. You'll report to the Creative Director of Product Marketing.
Your work will directly shape how people first encounter and engage with Runway's products. That means producing scroll-stopping video ads, designing static and animated assets for paid social and display, and using generative tools — including Runway's own — as a core part of how you work. You'll partner closely with product marketing, growth, and creative teams, and you'll be measured on craft, throughput, and performance.
WHAT YOU'LL DO
- Design and produce high volumes of performance marketing assets across video, motion, and static formats — paid social, display, YouTube and beyond
- Use Runway to ideate, create and iterate on video and image assets that are on-brand and well art directed — not just technically functional
- Own the visual execution of ad creative from concept through final delivery, working from briefs or generating your own directions when needed
- Produce motion graphics and animated ads that communicate product value quickly and compellingly
- Partner with the Product Marketing and growth team to develop integrated ad concepts where copy and design work together
- Build and iterate on creative variants for A/B and multivariate testing — adapting formats, hooks and visual treatments based on performance data
- Maintain a consistent visual language across all performance touchpoints without letting assets feel templated or stale
- Collaborate with product marketing on go-to-market launches, translating new product capabilities into visual stories that resonate with target audiences
- Hands-on experience designing for the major paid channels (Meta, YouTube, LinkedIn, etc) with fluency in each platform's native specs, aspect ratios and ad formats, and a real point of view on what works where.
- Own updates to GTM assets and templates, keeping them current and on-brand across campaigns. Bring hands-on experience building and automating deck design systems, so our presentations stay consistent without manual rework each time.
- Contribute to a growing library of on-brand design components, motion templates and generative prompting strategies that raise the team's overall output velocity
WHAT YOU'LL NEED
- 4+ years of experience in performance marketing design, motion design, or a related role at a tech or consumer company
- A portfolio that shows range across video ads, motion graphics and static performance creative — with clear evidence of craft and art direction judgment, not just execution
- Strong motion design skills — you're fluent in After Effects, Premiere, or equivalent, and can produce polished animated and video assets independently
- Solid graphic design fundamentals — typography, layout, color — applied to high-converting ad formats, not just editorial or brand work
- Hands-on experience using AI image and video generation tools with an art director's eye — you know how to prompt, iterate and finish work that looks intentional
- Comfort with performance data — you can look at creative metrics and know what visual changes to make next
- Ability to operate at high velocity across multiple simultaneous campaigns without sacrificing quality
- Experience working closely with growth marketers and product teams in a fast-moving environment
- Experience in AI, creative tools or developer-adjacent products is a strong plus
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Location: Remote (USA)
Workplace: remote
Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.
We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.
For more information, visit arcadia.io.
Why This Role Is Important to Arcadia
Analytics sits at the center of how Arcadia turns complex healthcare data into better outcomes and smarter decisions.
On the product side, that means building and owning the productized analytics engines — risk, medical economics, episodes-of-care, and more — that power Arcadia's platform company-wide, built once and delivered at scale across our entire customer base.
On the Customer Insights side, that means going deep on a specific customer's specific problem: custom data models, bespoke dashboards, advisory work, and long-running embedded programs that don't fit a one-size-fits-all product. We describe Customer Insights' work as sitting between a platform and a plan — more customized and hands-on than an off-the-shelf reporting product, more flexible and embedded in the customer's actual decisions than a traditional outsourced consulting engagement.
We're currently hiring for several closely related analyst roles across this broader Analytics organization — spanning ownership of one of Arcadia's core analytics engines, program-specific analytical development for a major state Medicaid risk-stratification initiative, a ground-up registry build for a national quality organization, versatile project and retainer delivery across our health system and payer customers, and dedicated analytics support for a major national health plan's Medicaid program. All of these roles sit at the Senior Analyst or Lead Analyst level, combine technical excellence with real influence over analytic strategy and (for some placements) product direction, and shape how Arcadia and its customers use data to improve population health outcomes, reduce costs, and enable smarter healthcare decisions.
The skills and experience below are characteristic across these roles as a set — not every requirement applies to every specific seat, and we don't expect any one candidate to bring all of it. We'll work with you during the interview process to identify which role is the best fit for your background and interests.
What Success Looks Like
In 3 months
Ramp into your specific engagement's data model, technical stack, and stakeholder relationships — most Customer Insights engagement has real history and context to build into, not a blank slate
Learn Arcadia's core analytics platform and toolset (QuickSight, Foundry, dbt, the AWS ecosystem) as used in your engagement
Deliver your first piece of analytical work that demonstrates clear value to your engagement's stakeholders
In 6 months
Own meaningful pieces of delivery independently — whether that's a program's analytical development, a portfolio of retainer/project work, or a dedicated account's dashboarding and reporting
Be a credible, independent presence in front of the customers or partners tied to your engagement
Contribute to at least one reusable analytical asset, framework, or automation that extends beyond your immediate engagement
Begin taking on the ongoing health of your area, not just its delivery — standing up a backlog/tech-debt process, or growing into a broader backup role alongside your engagement's primary owner, depending on placement
In 12 months
Be a recognized expert in your engagement area, trusted with its most complex or ambiguous work
Actively identify and pursue opportunities for automation, scalability, and reuse across your work
Have grown into deeper ownership than where you started — full backup or co-owner on an account, sole steward of a program's tech-debt and backlog, or, for analytics-engine placements, the architect shaping that engine's roadmap toward being market-leading
What You'll Be Doing
Technical Analytical Delivery
Translate ambiguous or partially-scoped business and clinical questions into a concrete, buildable data plan, then build the underlying data model, code, and analysis on top of it
Develop and maintain analytical pipelines and reusable data assets using SQL, dbt, and Arcadia's core data platform (Foundry, AWS data lake environments)
For analytics-engine placements: serve as the lead analytics strategist for at least one of Arcadia's productized analytics engines (e.g., risk, medical economics, episodes-of-care), owning it end-to-end while contributing to others
For engagements involving predictive or risk models: design and build the models, partnering with a dedicated Data Science team on training and validation — a consultative relationship, not a daily modeling partnership
Build dashboards, provider scorecards, registries,
self-service reporting tools, benchmarking views,
and other analytical deliverables (QuickSight and beyond) on top of that modeling work, as the engagement calls for it
Maintain the analytical integrity and quality of your work, flagging issues before they reach a customer or partner; for senior placements, oversee analytic quality standards and rigor across engagements more broadly, not just your own
Program and Project Management
Manage delivery — whether that's a single program's delivery calendar and decision log, or a portfolio of concurrent projects across multiple customers — surfacing risks and tradeoffs before they become blocking issues
Create client-facing materials — status decks, decision memos, technical explainers — tailored to a range of stakeholders, from highly technical counterparts to policy or business stakeholders with limited technical background
Delegate routine or repeatable work to junior analysts as your engagement grows, and help cross-train others for coverage
Lead cross-functional analytic initiatives that span multiple teams or engagements
Customer and Cross-Functional Partnership
Serve as a primary or supporting day-to-day contact for your engagement's customers or delivery partners, navigating scope and timeline conversations directly
Partner with Customer Management, Growth, Product,
Technical Operations,
and/or Engineering — depending on placement — on account strategy, product direction, or analytics roadmap; for analytics-engine placements, partner closely with product and engineering to deliver Arcadia's analytics roadmap and contribute directly to product innovation
Hold real authority at the boundaries where your work meets someone else's — able to require rework or hold a handoff that isn't ready (e.g., with a partner Data Science team), or push back on what's actually worth building with Customer Management, Growth, or Product
,
rather than defaulting to whatever's asked
Act as an internal thought leader on your area of expertise, contributing to Arcadia's broader analytics strategy and reusable methodology — and, for some placements, an external one, representing Arcadia's analytic capabilities at customer meetings, industry conferences, and in publications
Team Contribution
Mentor and develop junior analysts, building organizational capacity beyond your own individual delivery
Take ownership of your area's long-term health, not just its immediate delivery — a backlog/tech-debt log, a growing backup role on an account, or a roadmap for an analytics engine, depending on placement
Apply AI tooling as a standard part of your workflow — analysis, QA, documentation — not an occasional accelerant
Identify opportunities for automation, scalability, and reusability in analytical delivery, and help build those improvements out
What You'll Bring
Strong SQL and data modeling expertise — able to translate ambiguous business or clinical requirements into a concrete data plan, then build the underlying code and analysis on top of it
Healthcare data experience — claims and/or clinical data, with value-based care familiarity
Direct customer- or partner-facing experience — comfortable scoping and presenting without close oversight
Comfortable adopting AI tooling as a standard part of an analytical workflow
For Lead-level placement: demonstrated experience leading analytical work independently, managing multiple stakeholders, and mentoring less experienced analysts
Note: our experience bar across these roles generally skews toward Lead-level expectations, even for some Senior Analyst placements — but not every skill listed here or below applies to every specific seat.
Would Love For You To Have
Experience with dbt-based analytics engine development (e.g., risk, medical economics, episodes-of-care) and partnering with product/engineering on roadmap
Dashboarding experience — QuickSight or a comparable BI tool
Enough quantitative/ML fluency to build models and hand them to a Data Science team for training
Experience with medical economics, risk algorithms, quality data, and/or episodes-of-care analytics
Statistical or biostatistics fluency — risk-adjustment, odds-ratio, or observed-to-expected benchmarking, etc.
Direct experience with clinical quality or accreditation registries
Prior experience with state Medicaid programs or similar large government health programs
Prior experience in a project-based/retainer delivery model spanning multiple customers, rather than a single dedicated account
Experience working within a prime contractor or partner structure on shared delivery
Experience presenting analytic capabilities externally — customer meetings, industry conferences, publications
Python for analysis and QA; familiarity with the AWS ecosystem, Jira, and Confluence
Experience with data governance or data-product/monetization considerations
Note: this list spans skills relevant to several different roles across the Analytics organization — we don't expect any given candidate to have all of them. Bring what you have; we'll talk through the rest during the interview process.
What You'll Get
Become a member of the talented, energized, diverse and purpose-driven Arcadian Community with decades of collective experience in population health, product development, and data science
Employee driven programs and initiatives for personal and professional development
A flexible, remote-friendly company with personality and heart
Competitive compensation and strong benefits, including Flexible Time Off
The opportunity to:
Own real, high-stakes analytical work across some of Arcadia's most complex customer relationships and highest-visibility internal analytics products
Work across a genuinely varied set of problems — deep technical program ownership, versatile multi-account delivery, or company-wide analytics engines, depending on placement
Build models and analytical assets that directly shape care and coverage decisions for the members and patients they serve
Senior Analyst:
$125,000 – $145,000 a year
Lead Analyst:
$145,000 – $170,000 a year
About Arcadia
Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website.
Protect Yourself
If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website.
This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties. For any security-specific roles, the responsibilities would be further defined by the hiring manager.
Location: San Francisco, CA | New York City, NY
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
As a Business Development Representative at Anthropic, you'll drive the adoption of safe, frontier AI by optimizing our lead management processes and identifying new market opportunities. In this pivotal role, you'll enable our sales team to focus on high-value, revenue-generating activities by leveraging your analytical skills, project management expertise, and strategic thinking. Your role is critical in streamlining our sales pipeline and uncovering untapped potential in the AI market.
Responsibilities:
Maintain full ownership of pipeline generating activities in your sales territory
Collaborate with sales teams to understand their needs and optimize lead handoff processes
Manage and prioritize a high volume of inbound leads
Conduct initial qualifications for high-potential leads
Outbound against strategic prospects to generate high-intent opportunities with Startup and Enterprise teams
Support the development and execution of strategic outbound initiatives
Provide data-driven insights to inform sales strategies and resource allocation
Continuously refine processes to improve efficiency and effectiveness
You may be a good fit if you have:
2-3+ years of experience in a fast-growing startup, preferably in lead management and project management roles or 2-3+ years of experience in a field like finance & investment banking, consulting or software engineering
Strong analytical skills with the ability to translate data into actionable insights
Experience with Salesforce, HubSpot, and SQL (preferred)
Excellent communication and interpersonal skills
Ability to work in a fast-paced, dynamic environment
Passion for AI/ML and understanding of API-first or consumption-based business models
Bachelor's degree in Business, Marketing, Computer Science, or related field
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:
$116,480
—
$131,040 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: United States, Remote
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.
Technical Planning Analytics Analyst
Remote, United States
*This is a 6 month contract assignment
At Sony Interactive Entertainment (SIE), we are committed to redefining the future of Finance through innovation, transformation, and operational excellence.
This role sits within SIE’s Finance Transformation Office (FTO) and supports PARIS, a business-critical IBM Planning Analytics (TM1) platform used across the SBG Finance planning process. The Business Analyst will help ensure the platform is reliable, available, and appropriately configured throughout budget and forecast cycles.
Working across Finance and technical teams, this role will support users, troubleshoot system and data issues, contribute to requirements and testing, and help drive improvements in planning processes, automation, and data flows. The ideal candidate brings a strong understanding of FP&A and financial planning systems, with TM1 experience preferred and other enterprise planning platforms also considered.
Role & Responsibilities
Provide support to users of the
IBM Planning Analytics
finance planning tool throughout the planning cycle, including annual budgeting and quarterly forecasting. Responsibilities include:
Application administration
New user setup
Support for reports created using Planning Analytics for Excel
Resolution of ad-hoc user queries
Maintenance of system documentation
Delivery of end-user training
Partner with FP&A and technical teams to identify and implement system improvements within IBM Planning Analytics in alignment with the departmental roadmap.
Work alongside the development team on key workstreams, including:
Requirements gathering
Test case preparation
Unit testing
Documentation
Training and user handover
Delivery of system upgrades and enhancements
Project manage and deliver system upgrades and improvements based on change requests, including testing code updates and roadmap changes as required.
Understand data flows and identify opportunities to make them more dependable and repeatable while strengthening integrations with other enterprise tools.
Continually improve reporting and analysis processes by automating or simplifying self-service support for customers.
Challenge the status quo and identify process improvement opportunities that drive innovation.
Perform other system-oriented duties as required by business needs.
Skills & Experience
Strong understanding of finance principles, with previous experience supporting financial planning, budgeting, and forecasting processes and working with finance analysts.
Ability to interact effectively with users at all levels of seniority and manage stakeholder expectations across the organization.
4+ years of IBM Planning Analytics development experience (v2.0 or higher), including knowledge of:
Server installation and system configuration
Cube and application design
Planning Analytics TI and Chores
Rules and Feeders
Planning Analytics Security, including Element Security
MDX and SQL
Planning Analytics REST API, preferably through Cubewise Canvas
Hands-on experience with:
Python
TM1Py
HTML
JavaScript
Excellent verbal, written, and presentation skills.
Proficiency with Microsoft Excel.
Bachelor's degree or equivalent.
Preferred Skills
Exposure to master data management solutions.
Experience with Cognos BI integration.
Knowledge of Lean/Six Sigma process improvement methodologies.
Educational or professional background in Computer Science, Finance, Economics, Statistics, or a related field.
Desire to continue developing technical knowledge and skill sets.
Please note:
Candidates invited to the interview stage will be required to complete a
technical assessment
.
#LI-SV1
#Remote
At SIE, working with our partners, 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 individual base pay range may vary based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role is eligible for benefit offerings that include medical, dental, and vision. Click
here
to learn more.
The estimated base pay range for this role is listed below.
$113,500
—
$170,300 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: San Francisco, CA | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic's R&D teams depend on a large and fast-growing ecosystem of outside service providers. The biggest and most complex piece of it is Human Data Operations (HDO): vendors that supply the human-generated data, evaluations, and expert feedback our research depends on. Alongside HDO is a growing set of other R&D services, including labs, outsourced and outsourced service providers, and other specialized service partners that our research and special-initiative teams rely on.
We are hiring a Strategic Sourcing Business Partner to own the commercial side of this portfolio. Today these vendors have business owners and Procurement Operations support, this role will drive real ownership of the commercial terms end to end including contracts redlines, deployment of contract templates, and the negotiation.. There is significant untapped value in this portfolio (in pricing, in contract terms, and in vendor performance), and this role exists to go get it.
The job has four parts: run the contracts (redlining, templates, and renewals). This person will lead the commercial negotiations, partnering with the business to positively influence decision-making and deal structure, and manage vendor performance once the deal is signed. Success means moving fluidly between the deal and the relationship: negotiating strong terms, then executing against them through QBRs, SLA enforcement, and escalations as our needs change.
We use Claude as part of our daily workflow and are looking for someone who wants to help define what an AI-native sourcing function looks like, including how AI changes deal-making and vendor management itself over the next few years.
How this role fits within Procurement
Procurement Ops Business Partners own the primary relationship with each business vertical and are the front door for intake and day-to-day requests. Strategic Sourcing partners closely with them and owns the commercial outcome: negotiation strategy, contract terms and redlines, contract compliance, ongoing vendor performance, and sustained value creation for the leaders of these verticals working closely day to day with Legal (legal positions, templates, terms), Finance & Strategy (budgets, forecasts, and strategy), and Security / TPRM (risk assessment, approvals, process).
Responsibilities
Contract management and templates
Own the commercial redline for HDO and R&D services agreements (MSAs, SOWs, order forms, amendments, and renewals), partnering with Legal on legal terms, so deals move quickly while maintaining negotiation posture
Build and maintain the template library for these categories (standard MSA and SOW templates, pricing exhibits, SLA schedules, and a fallback playbook) so that most deals start on our paper rather than the vendor's
Run the renewal calendar for the portfolio so that no agreement auto-renews or lapses without a deliberate commercial decision
Keep contract data (rates, volume commitments, SLAs, key dates) current in our contract and intake systems so obligations are visible and enforceable
Negotiations and commercial strategy
Lead pricing and commercial negotiations across the portfolio, from strategy and deal structure through terms, SLAs, and executive alignment; you will personally run the ones that matter most
Build playbooks and Claude-powered tools for redlining, negotiation prep, benchmarking, and vendor reporting that raise the throughput and deal quality of the whole team
Design pricing structures that fit how R&D actually consumes these services (per-unit, per-hour, capacity, tiered, and committed-volume models) and that align vendor incentives with quality and throughput
Build and maintain a competitive bench for every mission-critical category via RFPs and competitive processes: qualified second sources, contracts structured so volume can move as needed, and flexible pricing constructs
Track and report savings, cost avoidance, and improved terms for the portfolio
Vendor management and value creation
Own the vendor management cadence for mission-critical vendors: QBRs, scorecards, SLA and quality reporting, and remedies when performance slips
Manage escalations between R&D teams and vendors and drive them to resolution
Identify consolidation, rationalization, and renegotiation opportunities as volumes shift, and bring executive-ready recommendations to R&D and Finance leadership
Manage TPRM, security, and compliance approvals, audit rights, and data-handling terms in partnership with Security and Legal
Relationships & Partnership
Partner with Procurement Ops BPs and leadership in R&D and special-initiative teams to understand upcoming needs and growth, and get vendor capacity and terms in place ahead of them
Partner with Finance & Strategy on vendor budgets, forecasts, and multi-year cost models for the portfolio
You may be a good fit if you have
7+ years of strategic sourcing, category management, vendor management, or commercial negotiation experience, primarily in services categories (data services, BPO or outsourced operations, lab or research services, managed services, staffing, or similar)
Hands-on contract experience: you have personally redlined MSAs and SOWs, built templates and fallback positions, and know where the commercial value sits in a services contract (pricing exhibits, volume commitments, termination rights, SLAs and remedies, IP and data terms) and when to bring in Legal
A track record of personally leading multi-million dollar services negotiations to strong outcomes, not just managing the process around them
Judgment about where leverage lives and how hard to use it: you can look at a portfolio of many vendors and many concurrent deals and know which ones deserve a deep negotiation and which need a fast, standard path, and you have a reputation with past vendors and colleagues for being commercially tough and fair with partners that need to scale with us
Strong analytical skills: rate and unit-cost analysis, TCO modeling, and pricing model design; you can find the real economics underneath a vendor proposal
Services vendor management experience: SLAs, scorecards, QBRs, and escalations, and how to enforce them without damaging the relationship
Comfort operating at pace: high deal volume, ambiguity, imperfect information, and a bias to execute rather than perfect
Clear, direct communication with executives internally and across the table, including in difficult conversations and escalations
Fluency with AI tools in your daily work and demonstrated experience in rebuilding your own workflows around them
Strong candidates may have
Experience sourcing human data, data labeling, annotation, or evaluation vendors, or comparable BPO and outsourced operations categories, and a point of view on where that market is heading
Experience sourcing lab services, scientific equipment and consumables, robotics or hardware services, or other technical services for a research organization
Experience at a hypergrowth company renegotiating or restructuring vendor pricing and contract structures under the growth curve
Experience standing up sourcing coverage for a category from scratch (templates, playbooks, benchmarks), not just operating within an established program
Experience designing vendor scorecards, SLA frameworks, and performance management programs
Familiarity with the confidentiality, data-handling, and IP terms that matter for research and data vendors
A point of view on how AI will change services vendor relationships and negotiations, backed by things you have actually tried
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
—
$230,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Montréal
We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.
Job Overview
Join Hasbro as a Systems Specialist for a maternity leave replacement (12 months) and become an integral part of our innovative team in Longueuil, QC, Canada. This outstanding opportunity will enable you to work on developing, improving, testing, and maintaining the system environments that support our creative and product development. You’ll work closely with experienced professionals to keep our systems running reliably and efficiently.
Location and Work Arrangement
This role is based at our Montreal, Quebec, Canada office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays.
What You'll Do
Develop, improve, and test automated workflows supporting the development of products, digital, and printed assets.
Support User-Acceptance-Testing of new or updated workflows by fixing errors and implementing testers’ change requests.
Propose and build solutions to help systems’ day-to-day users manage their workload and measure their performance through data dashboards.
Build searches to pull data from systems to support reports developed or used by day-to-day users and Data Analysts.
Develop training materials and conduct training sessions for new system users.
Collaborate with Digital Content Specialists to define and apply conventions and guidelines for maintaining an organized and secure systems environment.
Identify new system features to improve day-to-day users’ efficiency and share with Process Managers and Digital Content Specialists.
What You'll Bring
Excellent analytical skills and ability to solve problems.
Ability to understand complex processes and transform them into automated workflows.
Organizational skills with high attention to detail.
Ability to prioritize competing tasks and meet deadlines.
Autonomous, self-motivated, and innovative demeanour.
Good communication and interpersonal skills.
A Bachelor’s degree in computer science or a related field, or equivalent experience.
Demonstrated ability working with information or automated workflow platforms such as Esko WebCenter, Adobe Workfront, Monday.com, Power BI, Power Automate.
Demonstrated ability with product/creative development processes of consumer products.
Professional proficiency in French and English is required for this role. English is necessary to communicate and collaborate regularly with colleagues and leaders based in the United States who primarily work in English.
What Sets You Apart
Knowledge of Java scripting.
Who We Are
We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all.
Hasbro
About the Company – Hasbro
Wizards of the Coast
Who We Are – Wizards of the Coast
Equal Opportunity
Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status.
Accommodations
If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process.
Notice Regarding Hasbro’s use of AI in the Recruitment Process
We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.
How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review.
Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions.
Greenhouse has published the results of an independent bias audit of Talent Matching.
View the Greenhouse Talent Matching audit results
.
Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
Health & Wellness
Time Off to Recharge
Financial Well-being
Life & Family Support
Volunteer and Community Initiatives
Learning & Development
Exclusive Perks
Please review our
Applicant Privacy Notice
to learn how we collect, use, and protect your personal information in connection with the application process.
Location: Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Migration Engineer for GitLab Dedicated, you'll partner with customers to plan and deliver migrations from self-managed GitLab to GitLab Dedicated. You'll use GitLab Geo to replicate customer data and move customers onto fully managed, isolated GitLab environments with minimal disruption. You'll balance hands-on technical delivery with clear communication and project ownership, translating each customer's goals, timelines, and constraints into a practical plan and guiding them through cutover and validation.
You'll use infrastructure as code and configuration as code practices, Kubernetes, cloud platforms, and network design to work within existing GitLab Dedicated environments. You'll also improve the tooling, scripts, and runbooks that make migrations repeatable and reduce manual work, while sharing insights from customer engagements with GitLab's Product and Engineering teams.
Lead migrations from self-managed GitLab to GitLab Dedicated using GitLab Geo to replicate customer data
Design migration runbooks and automation for repeatable cutovers, and validate target environments built with Terraform, Ansible, and Kubernetes
What you’ll do
Deliver customer migrations from initial assessment through planning, replication, cutover, and post-migration validation.
Use GitLab Geo to replicate customer data, debug synchronization issues, identify root causes, and keep migrations on track.
Design customer network connectivity within GitLab Dedicated constraints, including virtual private clouds, private connectivity, Domain Name System configuration, and firewall rules.
Apply infrastructure as code and configuration as code practices to interact with and validate existing GitLab Dedicated environments.
Advise customers on migration sequencing, cutover windows, integration requirements, risks, and clear next steps.
Improve migration tooling, scripts, and runbooks to make delivery more reliable, repeatable, and efficient.
Partner with Professional Services, Environment Automation, Product, and Engineering to resolve blockers, share field feedback, and keep delivery consistent.
Manage multiple customer engagements while balancing customer outcomes, delivery priorities, and share technical knowledge with other engineers.
Take part in on-call or operational support where your team’s ownership model requires it.
What you’ll bring
Experience delivering customer-facing migration, installation, training, or technical advisory engagements.
Experience using, deploying, or configuring GitLab, with a solid understanding of Git and source control workflows.
Experience with infrastructure as code or configuration as code tools such as Terraform, Ansible, Packer, Puppet, or Chef.
Hands-on experience running Kubernetes workloads in production, including deployments, rollouts, and debugging crash loops, failed health checks, and scheduling issues.
Experience with a major cloud provider such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure, along with working knowledge of network design and connectivity.
Ability to read, understand, and modify infrastructure tooling, with familiarity in languages such as Go, Python, or Ruby.
Ability to independently lead multiple customer projects, communicate clearly in written and spoken English, and build agreement in a remote, largely asynchronous environment.
PubSec/Federal experience a plus.
A solution-oriented approach, effective cross-functional collaboration, and a commitment to GitLab's values. Experience with GitLab Geo and replication is helpful, but deep expertise can be developed in the role.
About the team
Migration Engineers are part of GitLab's Dedicated Infrastructure organization. We work with Sales, Professional Services, Environment Automation, Product, and Engineering to coordinate delivery, resolve customer needs, and share field feedback that improves GitLab features and delivery practices. We work remotely and largely asynchronously across regions and time zones, with a focus on reliable delivery and long-term customer success.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$126,400
—
$213,600 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
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
Go To Market ("GTM") Systems builds and runs the platform that Sales and contracting operate on, a production Salesforce org plus a growing portfolio of custom internal applications and agents. These systems process revenue-impacting transactions, guide critical business processes, and produce data the rest of the company runs on. Today the path from request, development, test, and pull request to production push is manual and slows the team down rather than speeding it up.
We are hiring a DevOps / AgentOps engineer to build and run that path. You will stand up and maintain an AI-first CI/CD pipeline covering both Salesforce and custom application code. This release pipeline will support three modes: fully agentic, human-in-the-loop, and AI-assisted. Anthropic is an unusual place to do this. Our own frontier models are part of the toolkit and the question we want you to answer is what a delivery system looks like when you design it for agents and humans working side by side rather than retrofitting agents into a pipeline built for humans alone.
You will work closely with a team of business systems analysts, software engineers, and integration engineers to develop the solution to accelerate their everyday work. The pipeline you build is the one path to production for a system under audit, so the guardrails, approvals, and audit trail are part of the product, not an afterthought.
Key responsibilities
Design, build, and operate the CI/CD pipeline for a production Salesforce org and a portfolio of custom internal applications, from branching and validation through deploy and rollback
Define how a change is classified and routed into an agentic, human-in-the-loop, or AI-assisted lane, what gates each lane passes through, and how a change escalates between lanes when validation fails or risk changes
Build the agent operations layer: what agents are scoped to do in the pipeline, what tools and permissions they hold, how they are sandboxed differently for Salesforce and custom-app work, and what they are not trusted to do unsupervised
Implement approval workflows that keep PR review and business sign-off as distinct gates, with clear rules for which changes need which, who is asked, and what evidence they see
Own environment strategy, secrets handling, deploy observability, and kill-switch and rollback mechanics across all three lanes
Produce the audit trail and evidence a SOX-scoped platform needs
Measure and report on the pipeline itself: lead time, failure rate, share of work moving through each lane, and where humans are still doing work an agent should be doing
Pair with engineers on the team as they move onto the pipeline, and turn what you learn from them into better defaults
Minimum qualifications
Have built and run a CI/CD pipeline for a team, including the branching model, merge gating, and rollback path, and can explain the choices you made and what you would change
Have hands-on experience with Salesforce deployment mechanics (metadata API, source-tracked development, org-to-org promotion) or a comparable enterprise platform
Work fluently with AI coding tools and agentic workflows, and have opinions about which kinds of engineering work belong in the hands of an agent, which need a human review, and where the boundaries are
Design for the failure case: you think about blast radius, sandboxing, permissions, and what happens when an automated change is wrong before you think about the happy path
Are comfortable working across GitHub Actions or a comparable CI system, infrastructure as code, and the scripting needed to glue platforms together
Write clear design documents and can defend a design to engineers, business approvers, and auditors in language each of them will accept
Preferred qualifications
Have shipped agents or automation that operate inside a production system of record, and have dealt with what happens when they misbehave
Have operated a platform under SOX or a similar audit regime and know what evidence a change-management control actually requires
Have experience with Salesforce DevOps tooling (Gearset, Copado, sfdx-based pipelines) and know where those tools stop and custom work begins
Have run a migration from ad hoc or manual deploys to a governed pipeline and can talk about how you kept a team shipping while you did it
Have built approval or notification workflows in Slack or a comparable tool that people actually used
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:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco; United States
Workplace: Remote
About the Role
We’re looking for a strong communications contractor to support OpenAI’s vertical communications work across health, education, and personal finance. These are deeply personal, high-impact areas where trust, clarity, and responsible storytelling are especially important. This person will help communicate how OpenAI’s models and ChatGPT capabilities can be useful to people in real-world moments, while helping ensure our narratives are credible, thoughtful, and aligned with OpenAI’s mission.
This role is ideal for someone who can move quickly from strategy to execution, bring strong editorial judgment, and partner well across product, policy, legal, marketing, research, and communications teams.
In this role, you will:
- Support launch execution for priority vertical moments, from messaging development and launch planning to media strategy, stakeholder coordination, and post-launch follow-through.
- Own ongoing proactive campaigns across verticals, partnering cross-functionally to identify strong storylines, build campaign calendars, and move work from idea to execution.
- Translate complex technical product work and broader OpenAI progress into clear, audience-specific narratives tailored to health, education, personal finance, and other priority audiences.
- Draft and refine high-quality communications materials, including messaging, pitches, briefing docs, talking points, FAQs, launch plans, media strategies, and executive-ready summaries.
- Keep a strong pulse on external sentiment, media narratives, and emerging risks, helping manage brand considerations while unblocking dependencies and keeping campaigns moving.
- Build trusted relationships with cross-functional partners and help create clarity across fast-moving, sometimes ambiguous workstreams.
You might thrive in this role if you:
- Are a strong writer and editor who can make complex or technical topics feel clear, grounded, and human.
- Have sound judgment around sensitive, trust-heavy topics and know how to balance opportunity, risk, and nuance.
- Are highly organized and comfortable managing multiple launches, campaigns, stakeholders, deadlines, and approvals at once.
- Can operate independently, move quickly, and bring structure to ambiguous work without needing heavy oversight.
Location: United Kingdom; Ireland; Poland
Workplace: Remote
As a Staff Software Engineer on Coder’s Agentic Engineering team, you’ll shape the systems behind our agentic development experience. You’ll work across the agent harness, integrations, and workflows that connect agents with real development environments.
You’ll stay hands-on while setting the team's technical direction. You’ll lead complex work, make sound architectural decisions, and help other engineers do their best work.
WHAT YOU’LL DO HERE
- Set technical direction across Coder’s agent harness, integrations, and workflows.
- Design and build production systems in Go, with work across React and TypeScript where needed.
- Evolve agent execution, tool use, context management, streaming, and long-running workflows.
- Extend our provider-agnostic architecture as models and capabilities change.
- Lead complex projects from early ambiguity through production.
- Raise the engineering bar through design reviews, code reviews, and technical mentorship.
- Partner with Product and Design on clear, useful agent experiences.
- Improve the reliability, performance, and operability of agentic systems.
WHAT WE’RE LOOKING FOR
- Deep experience building and operating production software systems.
- Strong hands-on experience with Go.
- Experience with React and TypeScript.
- Hands-on experience building systems around LLMs and agentic workflows.
- Experience with model APIs, tool calling, context management, or agent loops.
- Strong distributed systems knowledge.
- Working knowledge of AWS.
- A track record of setting technical direction without formal authority.
- Strong architectural judgment and comfort working through ambiguity.
- Someone who makes the engineers around them better.
OUR TECH STACK
- Backend: Go, Postgres
- Frontend: TypeScript, React
- Infrastructure: AWS, Kubernetes
- Observability: Prometheus, Grafana
- CI/CD: GitHub Actions
BONUS TACOS IF YOU HAVE
- (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!)
- Experience building coding agents, developer tools, or cloud development environments.
- Experience with agent tools, or multi-agent systems.
- Experience building abstractions across multiple model providers.
- Deep experience with AWS, Kubernetes, Docker and Linux.
- Open-source contributions or experience working directly with customers.
Coder’s agentic architecture is provider-agnostic. The foundation is already built; this role helps decide how it evolves, where we invest, and how we keep it reliable as the space moves quickly.
ABOUT CODER
Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com.
INTERVIEW PROCESS
We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.
AI USE DURING THE INTERVIEW PROCESS
As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.
Not permitted: Using AI assistance during conversational interviews.
Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.
OUR USE OF AI IN HIRING
We use AI tools to help manage our recruitment process efficiently and fairly. Specifically:
- Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first.
- Granola takes notes during our interview calls so our team can focus on the conversation with you.
All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models.
In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf.
If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.
CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER
We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
Location: Mäntsälä, Finland
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
The Mechanical Operations Technician is responsible for the safe, reliable, and efficient operation, inspection, maintenance, and repair of mechanical systems supporting a mission-critical data center in Mantsala, Finland. Working as part of a 24/7 Critical Facilities Operations team, the technician ensures maximum equipment availability while supporting the site's commitments to energy efficiency, sustainability, and operational excellence.
Key Responsibilities
Critical Facilities Operations
Operate and monitor mechanical infrastructure using the Building Management System (BMS) and routine field inspections.
Respond to alarms, equipment faults, and operational events in accordance with Standard Operating Procedures (SOPs) and Emergency Operating Procedures (EOPs).
Record equipment readings, operating parameters, and shift activities.
Support planned switching operations and maintenance windows.
Mechanical Maintenance
Perform preventive, predictive, and corrective maintenance on mechanical equipment.
Troubleshoot mechanical failures and carry out repairs or coordinate vendor support.
Assist with commissioning, recommissioning, and integrated systems testing.
Maintain accurate maintenance records using the Computerized Maintenance Management System (CMMS).
Mechanical Systems
Operate and maintain systems including:
Chilled water systems
CRAH and CRAC units
Chillers
Air Handling Units (AHUs)
Pumps and hydronic distribution systems
Heat exchangers
HVAC systems
District cooling and heat recovery systems (where applicable)
Water treatment systems
Mechanical valves and piping
Expansion vessels and pressure systems
Health, Safety & Compliance
Work in accordance with Finnish occupational safety legislation and EU health and safety requirements.
Follow Permit to Work (PTW), Lockout/Tagout (LOTO), and risk assessment procedures.
Use appropriate Personal Protective Equipment (PPE).
Participate in emergency response activities and incident investigations.
Promote a strong safety culture and environmentally responsible work practices.
Qualifications
Education
Vocational Qualification (Ammatillinen perustutkinto) or Bachelor's degree in Mechanical Engineering, HVAC, Building Services Engineering, Industrial Maintenance, or a related technical discipline.
Equivalent technical or military experience may also be considered.
Experience
2–5 years of experience maintaining mechanical systems in data centers, industrial facilities, manufacturing, hospitals, power generation, or other critical environments.
Experience with Building Management Systems (BMS) and CMMS software is preferred.
Technical Skills
Knowledge of:
HVAC and cooling systems
Chilled water and hydronic systems
Pumps, motors, and heat exchangers
Mechanical fault diagnosis
Building Management Systems (BMS)
Computerized Maintenance Management Systems (CMMS)
Mechanical drawings and Piping & Instrumentation Diagrams (P&IDs)
Energy-efficient building systems
Preferred Qualifications
Occupational Safety Card (Työturvallisuuskortti)
Hot Work Card (Tulityökortti)
First Aid Certificate (EA1 or equivalent)
Refrigerant handling qualification (where applicable)
Fluent English (written and spoken)
Finnish language skills are beneficial but not essential
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: New York, New York, United States
About the Role
iCapital is looking for a Regulatory Reporting Associate to join the Regulatory and Compliance team. This individual will work closely with the Vice President of Regulatory Reporting and the Co-Chief Compliance Officers on a variety of compliance matters, most specifically those pertaining to regulatory reporting.
Responsibilities
· Liaise with relevant business teams to collect and aggregate data and prepare for submission various U.S. and international regulatory filings including, Form ADV, Form PF, BE-185, Form SLT, Form 45-106F1, and Regulation D and blue-sky filings.
· Develop, update, and implement procedures, as needed, to ensure robust processes for regulatory filings.
· Monitor and analyze industry-wide compliance initiatives and federal, state, and non-U.S. regulatory developments to determine how such developments may impact iCapital’s activities and reporting requirements, as well as discuss such changes with senior management.
· Inform senior management of any material regulatory or operational changes.
· Collaborate with internal and external stakeholders to improve data quality, processes, operational readiness, scalability, and efficiency.
· Assist with ad-hoc compliance-related matters.
Qualifications
· 2-5 years of registered investment adviser experience, preferably in preparing regulatory filings
· Experience with alternative investments and understanding of compliance restrictions around private placements, including SEC filings for private funds
· Comfortable leading discussions and initiatives with senior internal and external stakeholders
· Able to manage multiple deadlines and projects
· Organized and detailed oriented with big picture capability
· Strong interpersonal and leadership skills
· Willingness to learn new topics and work in an evolving business environment
· Proficiency in Microsoft Excel and Microsoft Word and an aptitude to quickly pick up additional technologies
Benefits
The base salary range for this role is $ 70,000 to $ 95,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Location: United States, San Mateo, CA
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more.
PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.
The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Corporation.
Staff Software Engineer – Data
Do you want to join a team of talented engineers building the next generation of real-time data platforms that power analytics and data-driven experiences across PlayStation? As part of our Data Platform team, you will play a key technical leadership role in designing and evolving the Real-Time Analytics Platform (RTAP), enabling high-throughput, low-latency analytics and stream processing at PlayStation scale.
The Software Engineers within our Platform Engineering Group design, build, document, and operate large-scale distributed data platforms that support real-time and near real-time analytics across PlayStation. You will solve complex distributed systems challenges, evolve our streaming and analytics architecture, integrate AI-powered platform capabilities, and improve scalability, reliability, performance, and developer productivity.
We’re looking for someone who is passionate about distributed systems, real-time analytics, and building scalable data platforms. You will work closely with Engineering, Product, Infrastructure, Security, and Data Engineering teams to shape technical strategy, influence architecture across organizations, mentor engineers, and help drive the long-term evolution of PlayStation’s data platform.
Responsibilities
·
Design, build, and operate large-scale distributed data systems that power real-time and near real-time analytics,, and data-driven applications across PlayStation.
·
Lead the architecture and evolution of RTAP’s stream processing and analytics platforms, improving scalability, reliability, performance, and developer productivity.
·
Own critical platform capabilities end-to-end from architecture and implementation through production operations, performance optimization, reliability, and lifecycle management.
·
Build and optimize distributed data services using technologies such as Apache Flink, Spark Structured Streaming, ClickHouse, and Apache Druid to support high-throughput, low-latency workloads.
·
Partner with Data Engineering teams to integrate batch and streaming workloads using modern lakehouse architectures and build interoperable, scalable data platforms.
·
Build AI-powered capabilities to automate engineering workflows, improve data quality, simplify platform operations, accelerate troubleshooting, and enhance developer productivity.
·
Establish technical standards and engineering best practices for distributed systems, stream processing, data modeling, query optimization and platform reliability.
·
Mentor engineers across the organization by reviewing architecture, designs, and code while raising the technical bar through coaching and technical leadership.
·
Partner with Product, Infrastructure, Security, and Platform Engineering teams to define long-term technical strategy and deliver scalable platform capabilities aligned with business priorities.
·
Investigate and resolve complex production challenges involving high-throughput, low-latency distributed systems, ensuring high availability and operational excellence.
·
Participate in the team's production support and on-call rotation, leading incident response, conducting root-cause analysis, and implementing reliability improvements that strengthen the platform over time
·
Evaluate emerging technologies and distributed data platforms, recommending investments that improve scalability, reliability, developer productivity, and cost efficiency.
Requirements
·
Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
·
8+ years of experience designing and building large-scale distributed systems, with expertise in real-time data processing, analytics, or data platform engineering.
·
Strong proficiency in
Python
, with experience building production-grade distributed systems and data processing applications. Experience with
Scala
is beneficial for supporting and evolving existing platform components.
·
Hands-on expertise designing and operating large-scale stream processing applications using
Apache Flink
,
Apache Spark Structured Streaming
, or equivalent distributed streaming technologies.
·
Production experience designing, operating, and optimizing distributed analytics platforms using
ClickHouse
,
Apache Druid
, or equivalent high-performance OLAP/analytics databases, including query optimization, data modeling, and performance tuning at scale.
·
Experience building and consuming event-driven data pipelines using
AWS MSK
,
Apache Kafka
, or equivalent messaging platforms, with a focus on developing reliable, scalable data processing applications.
·
Experience applying
AI/ML techniques and modern AI tooling
to automate engineering workflows, improve data pipelines, simplify platform operations, and enhance developer productivity.
·
Strong systems design skills with the ability to evaluate architectural trade-offs across scalability, latency, throughput, consistency, reliability, and cost.
·
Demonstrated technical leadership through architecture ownership, mentoring engineers, and influencing technical decisions across multiple teams.
Nice to Have
·
Experience with
Databricks
,
Apache Iceberg
, or modern lakehouse architectures, with the ability to design and integrate batch and streaming workloads into scalable, production-grade data platforms.
·
Experience building or operating
multi-tenant, self-service data platforms
supporting multiple engineering organizations.
·
Experience collaborating with globally distributed engineering teams across multiple organizations and time zones to deliver shared platform capabilities and drive technical alignment.
Your First 90 Days
30 Days:
Develop a strong understanding of the platform’s architecture, capabilities, engineering practices, and roadmap.Begin contributing to architecture discussions, feature development, design reviews, and production support.Build relationships within the team as well as across the Data Platform organization.
60 Days:
Take technical ownership of a major platform capability or architectural area.
Identify opportunities to improve scalability, performance, reliability, or developer productivity.Collaborate with Data Engineering, Infrastructure, Product, and other partner teams on cross-platform initiatives.
90 Days:
Lead the design and delivery of key roadmap initiatives for the team..Influence technical direction across teams and mentor engineers on distributed systems and platform engineering best practices.Establish clear architectural recommendations for the next phase of the platform’s evolution.
In 90 days, you will have a detailed understanding of the
Real-Time Analytics Platform
and its role within PlayStation’s broader data ecosystem. You will be comfortable owning complex distributed systems initiatives, partnering closely with Product and Engineering teams, and driving large-scale solutions from architecture through production delivery.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role
is eligible
for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products.
This role also may be eligible for a bonus package.
Click
here
to learn more.
The estimated base pay range for this role is listed below.
$198,200
—
$297,400 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Toronto, Ontario
Workplace: Hybrid
Artificial Intelligence. Actual Impact.
At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses.
We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive.
So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops.
🚀 THE ADVENTURE AHEAD
As a Business Development Representative for our North American team, you are the primary engine behind Docebo’s rapid global expansion! You’ll act as a strategic consultant, helping massive organizations transform their training from a mundane "checkbox" into a competitive superpower through world-class AI innovation. By establishing trust with high-level stakeholders, you won't just be filling a pipeline—you’ll be the first person to show these companies a better way for their employees to grow and thrive.
🗓️ THE DAY-TO-DAY
- Strategize the Hunt: Identify and map out key stakeholders within our Ideal Customer Profile (ICP) to ensure we are engaging with the organizations that will benefit most from Docebo.
- Craft the Narrative: Leverage and create high-impact, compelling messaging that cuts through the noise and sparks genuine curiosity about the future of learning.
- Master the Outreach: Connect with potential clients via outbound calling, using active listening and rapport-building to turn cold introductions into warm opportunities.
- Elevate the Experience: Provide a world-class first impression for inbound prospects, acting as a knowledgeable guide to how Docebo can help their teams excel.
- Architect Your Success: Manage your calendar with precision, dedicating time to high-value activities that ensure you hit your goals and fuel the Docebo growth engine.
- Drive the Impact: Focus relentlessly on pipeline generation, growing both the business and your own professional career as you contribute to our global mission.
⚡ YOUR SUPERPOWERS
- Command the Conversation: You have the elite ability to qualify prospects, plan your approach, and maintain control of high-level business discussions.
- Fuel the Fire: You are a self-motivated, results-oriented "go-getter" who thrives on hitting targets and exceeding expectations.
- Communicate with Clarity: You possess exceptional communication and problem-solving skills, allowing you to explain complex AI solutions with ease.
- Maintain the "Glass-Half-Full": You bring an infectious, positive energy to the team and approach every challenge with a solution-oriented mindset.
- Think Outside the Box: You use your creativity and hustle to find unique ways to get in front of the right people and establish immediate credibility.
🌟 BONUS POINTS
- Sales Veteran: You have 1+ years of experience in Inside Sales, a Call Center environment, or a Demand Generation/Marketing function.
- Customer-Facing Pro: You’ve spent a year or more in Retail, Hospitality, or another high-touch customer service role.
- Mid-Market & Enterprise Expertise: You have previous experience navigating the complexities of Mid-Market and Enterprise-level BDR or Sales cycles.
OUR HYBRID WORK PHILOSOPHY 🤝
Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.
OUR TOTAL REWARDS PHILOSOPHY 🎉
Our Total Rewards Philosophy centers around three core areas to reward and care for our People:
- Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success.
- Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being.
- Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.
OUR PROMISE TO YOU 😍
- Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package.
- Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it.
- Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off!
- Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025!
- Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.
ABOUT DOCEBO 💙
At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world.
Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law.
As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities.
Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.
United States, San Diego, CA; As a member of the Production Operations Engineering team within the platform technology group, you will help keep key user experiences on the platform available, resilient and high performing across time zones and critical business periods, while continually enabling our service teams to deliver new and exciting products and technical features
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