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.
Senior Business Analyst, PlayStation Store
San Mateo, Los Angeles, or San Diego, CA (hybrid)
About the Role
Sony Interactive Entertainment (PlayStation) is seeking a Senior Business Analyst to help shape the future of our Direct-to-Consumer businesses - PlayStation Store and PlayStation Direct.
You will lead the business analysis workstream for complex commercial initiatives, working with business leaders and subject-matter experts to understand business objectives, processes and customer needs. You will translate these needs into clear, testable business requirements that Product, Engineering, Analytics and Data Science teams use to design and build new ecommerce products and supporting tools. Throughout development, you will maintain alignment between business stakeholders and delivery teams, resolving ambiguity and ensuring the resulting solutions fulfil the underlying business need.
If you have strong experience turning complex business problems and processes into clear business requirements and working across teams to deliver effective solutions, we’d love to hear from you.
What You’ll Do
Translate complex business needs into clear, structured and testable business requirements that Product and Engineering teams can execute against. Remain engaged throughout design and development, resolving ambiguity and validating that the solution meets the original business need.
Work with business leaders and subject-matter experts to structure ambiguous problems, reconcile stakeholder needs and translate agreed objectives into clear requirements and measurable outcomes.
Collaborate across Business, Product, Engineering, Analytics and Data Science teams to resolve issues, manage dependencies and ensure business needs are understood and fulfilled.
Apply your understanding of customer journeys, commercial drivers and operational processes to assess how proposed products, features and business changes will affect customers and business operations.
Map current and future-state business processes, identify opportunities for improvement or automation and support teams in implementing and embedding the resulting changes.
Partner with Product, Analytics and Data Science teams to test commercial hypotheses, challenge assumptions and build the case for change.
Influence senior stakeholders within initiatives through structured problem framing, commercial reasoning and clear, evidence-based recommendations.
Share your experience and effective Business Analysis practices with other analysts, supporting the quality and consistency of the team’s work.
What We’re Looking For
Extensive experience in Business Analysis within digital commerce, subscriptions, retail or related fields.
Demonstrated experience planning and leading business analysis for complex initiatives, managing multiple priorities and delivering measurable commercial or operational outcomes.
Demonstrated experience partnering with Product, Engineering, Analytics and Data Science teams to design and deliver commerce products and supporting tools.
Strong understanding of eCommerce customer journeys, commercial drivers and operational processes, with the ability to identify relevant dependencies and assess the likely impact of proposed solutions.
Proven ability to engage business leaders and subject-matter experts, reconcile differing stakeholder needs and establish clear requirements where
information is incomplete or priorities change.
Demonstrated experience mapping and improving complex business processes, building the case for change and working with teams to implement and embed new ways of working.
Strong communication and influencing skills, with the ability to explain complex issues clearly and support recommendations with commercial reasoning and evidence.
Comfortable working across regions, time zones and cultures, with flexibility for international travel and varied working hours.
Resilient and adaptable in ambiguous, fast-moving environments.
Nice to Have
Knowledge of payments, finance and supply chains.
Experience integrating AI/ML into business solutions.
Familiarity with digital content management and publishing.
Awareness of governance and ethics in AI and data practices.
Experience working in multicultural, international environments
Bachelors Degree or equivalent preferred
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.
$147,000
—
$220,600 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.
seniorUnited States, San Mateo, CA; Comfortable working across regions, time zones and cultures, with flexibility for international travel and varied working hours
Location: United States
Workplace: remote
About Lyra Health
Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions.
About the Role:
The Sr. Accounting Transformation Lead is responsible for supporting the SVP, Global Controller to advance the maturity, scalability, and effectiveness of the company's accounting operating model. This role will partner closely with the global leadership team to identify, prioritize, plan and execute accounting transformational initiatives that support the company's growth and long-term strategic objectives.
With the Global Controller, this leader will co-develop and drive accounting transformation spanning organizational design, process standardization, technology enablement, public-company readiness. The successful candidate will combine proven experience in accounting and strategy development, change management, operational excellence. Sr. Accounting Transformation Lead should have exceptional project management skills along with exceptional communication experience and demonstrated success with delivering excellence for stakeholders.
Responsibilities
Accounting Transformation Strategy
Assess current-state capabilities across people, processes, technology, data, governance, and controls and identify opportunities to strengthen the accounting operating model.
Translate strategic priorities into project plans with measurable objectives, milestones, dependencies, resource requirements, and expected business outcomes.
Process Excellence & Global Standardization
Identify opportunities to simplify, harmonize, automate, and strengthen core accounting processes, including record-to-report, financial close, reconciliations, consolidation, intercompany accounting, financial reporting, and other controllership activities.
Manage the development of clearly defined roles, responsibilities, policies, procedures, and performance expectations.
Partner with accounting leaders to reduce manual processes, eliminate unnecessary complexity, improve close efficiency, and strengthen the quality and timeliness of financial information.
Technology Automation
Identify opportunities to leverage automation, analytics, artificial intelligence, workflow solutions to improve efficiency, accuracy, controls, and decision-making.
Partner with Technology and business stakeholders to define requirements, prioritize investments, and ensure successful design and implementation of finance technology solutions.
Promote simplification and standardization of systems and data while reducing reliance on fragmented tools and manual processes.
Public Company Readiness
Project manage the critical accounting readiness activities associated with SEC-compliant financial reporting, disclosure processes, close and reporting timelines, supporting documentation, and reporting governance.
Identify and assist in resolving gaps that could impact IPO timing or sustainable public-company operations.
Change Leadership
Provide clear, concise reporting to senior leadership regarding transformation priorities, progress, risks, decisions, and resource requirements.
Lead change-management efforts necessary to drive adoption of new processes, technologies, organizational structures, and ways of working.
Build strong relationships across functions and geographies and influence stakeholders at all levels of the organization.
Promote continuous improvement, accountability, collaboration, and operational excellence across the global Accounting organization.
Qualifications
Bachelor's degree in Accounting, Finance, Business Administration, or related field; CPA strongly preferred.
Approximately 12+ years of progressive experience in accounting, controllership, finance transformation, with significant leadership experience in complex, high-growth organizations.
Experience leading large-scale Finance or Accounting transformation initiatives involving multiple functions, geographies, systems, and stakeholders.
Demonstrated experience redesigning and standardizing accounting processes and operating models.
Strong understanding of finance technology ecosystems, including ERP, consolidation, financial reporting, close management, reconciliation, workflow, automation, and data/analytics solutions.
Prior experience in public accounting and/or a large, complex multinational organization is a plus.
"We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.
By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra. We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR. Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives. If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form. This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice."
As a full-time Sr. Accounting Transformation Lead, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $150,000 to $206,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses.
Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:
Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances)
Lyra for Lyrians; coaching and therapy services
Equity in the company through discretionary restricted stock units
Competitive time off with pay policies including vacation, sick days, and company holidays
Paid parental leave
401K with up to 3% matching
Monthly tech allowance
We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration…and more!
We can’t wait to meet you.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Frontier AI is on track to be among the most consequential and most adversarially-targeted technology in the world. The capability curve is steep, the adversaries who want these systems are extremely well-resourced, and the security bar this will eventually require is well beyond where the industry operates today. Incremental hardening alone is not going to close that gap, so we need breakthroughs and a group of people to go find them.
Security Labs is that team. We run a portfolio of high-risk, high-expected-value security projects: the work that seems impractical until someone optimistic and stubborn enough actually tries it. Projects run on the order of weeks rather than quarters, and each one is either handed off to the Anthropic team that will own it in production or wound down with a writeup of what we learned. We expect a meaningful fraction of our bets not to land.
This team is intentionally scrappy and ambitious. We're intentionally iterating fast on high-risk research bets and we expect a meaningful fraction not to land. If a 30% project success rate sounds uncomfortable, or uncharted and chaotic territory isn’t both frightening and exciting, this probably isn't the right fit. There are other places in Anthropic Security doing important work with more structure, less risk, and more certain paths to positive outcomes.
The questions we're trying to answer include:
Can our core research workflows survive extreme isolation?
Can we replace trust with cryptographic guarantees?
Can the models themselves become our most effective security control?
What would it actually take to defend against a tier-1 state adversary, and how much of that can we build now?
Who we're looking for.
We're hiring generalists with rare depth. You're a strong software engineer as a baseline, and on top of that you've gone deep in at least one area most engineers don't get near: firmware or hardware security, applied cryptography, OS / kernel / hypervisor internals, formal methods, reverse engineering, or high-assurance and cross-domain systems. You've built things under your own direction, you're comfortable jumping layers when the problem demands it, and you'd rather take a swing at something that might not work than ship the safe incremental thing. You think the trajectory of AI matters a great deal, you're not comfortable with how the security side of it is going by default, and you'd rather be on the inside building the answer than watching from outside.
Current Project Areas
The portfolio changes as we learn. The kinds of bets currently in flight or queued:
Standing up a prototype high-assurance research cluster: running real Anthropic training and research workloads under extreme isolation and physical security controls, and finding out exactly where productivity breaks and what we'd need to invent to get it back
Provable inference: cryptographic verification (zero-knowledge proofs, attestation chains) that a given output came from a specific model running specific code, replacing "trust us" with math
Build hypervisor-isolated microVM workload isolation across the fleet
Compiling an ML kernel through a formally verified pipeline where every lowering step carries a machine-checked proof of equivalence, making compilation-layer sabotage mathematically detectable
Regenerating clusters: automation that spins up a purpose-built cell, runs a workload, and tears the whole thing down on a TTL measured in hours, so attacker persistence has an expiry date
Using Claude itself to drive security work end to end: threat modeling new compute platforms, rewriting critical services to zero external dependencies, running the test equipment that validates what hardware datasheets claim
Part of your job is deciding what comes next. We hire people we trust to pick good bets, and project selection is owned by the engineers doing the work.
Key responsibilities
Own Security Labs projects end to end. You'll scope the bet, build the prototype, run it against real workloads, and bring it to either a hand-off or a documented exit
Stand up novel security infrastructure fast (isolated clusters, attestation chains, hypervisor and runtime work, verification tooling) optimizing for what we learn rather than for permanence
Find the receiving team early, bring them along while you build, and hand them something they actually want to own
Work embedded with research and infrastructure teams (Pretraining, RL, Inference, Compute) to test whether their workflows survive what you're proposing, and document precisely where they don't
Turn experimental results into short writeups that shape Anthropic's long-term security architecture, and into costed contingency plans we could execute on short notice
Help pick the next round of bets and influence the industry to get better along the way
Minimum qualifications
Genuinely care about where AI is heading and want to work on the security problems that determine whether it goes well. This is the most important thing on this list
Have real depth in at least one area most software engineers don't touch (e.g. firmware or hardware security, applied cryptography, OS / kernel / hypervisor internals, formal methods and verification, reverse engineering and exploit development, or high-assurance / cross-domain systems)
Have built and shipped things under your own direction. Maybe you founded a company or research group, maintained an open-source project other people depend on, or shipped research that changed how people in your field work. We weight this far more than where you've worked or for how long
Have a track record of choosing the problem yourself and seeing it through, rather than only executing a plan someone else handed you
Are comfortable jumping between domains and layers of the stack when the problem calls for it, and have actually done so
Have run prototypes or experiments where the goal was answering a hard question rather than shipping a permanent system, including ones that didn't pan out
Write clearly enough to turn weeks of work into a couple of pages someone can act on
Change your mind when the evidence says to, and are fine being the least-expert person in a room full of specialists
Care about defense. Plenty of folks here come from offense and that background is valuable, but what you actually want to spend your time on now is making systems hold up
Are a strong programmer (Python plus at least one of Rust, Go, or C/C++) and can stand up real infrastructure without that being the interesting part of your week
Preferred qualifications
Experience inside airgapped or high-side environments (classified networks, cross-domain solutions, ICS/SCADA, financial trading infrastructure) and the operational realities of working in them
A background in offensive security, red teaming, or vulnerability research, with calibrated intuitions for which threats actually matter
Familiarity with ML infrastructure (training pipelines, distributed schedulers, inference serving, accelerator hardware) sufficient for grounded conversations with researchers about what their workloads actually need
A history of working in environments built around rapid iteration rather than rigid change control: startups, applied research groups, independent consulting, small security shops
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
—
$485,000 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: Los Angeles, USA
Riot’s Enterprise Technology organization ensures Rioters have what they need to unlock their full potential, from secure and compliant systems to efficient business platforms that keep the company running smoothly. HR Tech & Systems builds and evolves the technology ecosystem that supports Rioters across the employee lifecycle.
As a
Staff AI & Data Engineer, HR Systems
, you will bring deep AI and modern data engineering expertise to HR Systems, accelerating our evolution into an AI-augmented and data-enabled engineering organization. You will be a hands-on builder who designs and delivers AI agents, intelligent automations, data products, and reusable engineering capabilities across Riot's HR Technology ecosystem.
You will combine strong AI and data engineering expertise with meaningful HR technology and domain knowledge. You will work across Workday, Databricks, and Riot's broader AI and enterprise technology ecosystem to turn trusted HR data and complex HR processes into secure, scalable solutions.
Just as importantly, you will help build these capabilities within the existing team. You will pair with HR Tech engineers, establish practical engineering patterns, and provide hands-on mentorship in AI, Databricks, and modern development practices so the team can increasingly design, build, and support these solutions independently.
You will partner closely with HR Tech & Systems, Enterprise Data & AI, Enterprise Software Engineering, HR COEs, and other Enterprise Technology teams.
The role reports to the Senior Manager, HR Tech & Systems.
Responsibilities:
HR Technology Engineering & Automation
Apply deep HR technology knowledge to discover opportunities and develop solutions across HR operations, recruiting, onboarding, compensation, benefits, learning, talent, workforce planning, and HR analytics.
Leverage Riot's evolving AI and automation ecosystem, including tools such as Workato, Windsurf, Devin, and TrueFoundry, to accelerate development and delivery.
Evaluate opportunities within HR Technology’s workflow and portfolio of applications, including SaaS and custom systems, to establish best practices and introduce new AI-enhanced capabilities.
Partner with HR stakeholders, product owners, and technical teams to identify high-value opportunities and determine when AI, automation, data products, integrations, or native platform capabilities are the most appropriate solution.
Translate complex HR processes, policies, and operational needs into scalable technical solutions that improve Rioter experiences and business outcomes.
Drive solutions through the full lifecycle from discovery and prototyping through implementation, adoption, measurement, and continuous improvement.
AI & Agent Engineering
Design and build agentic AI solutions using LLMs, RAG, tool calling, memory, orchestration, and APIs to make business-context-aware decisions and take actions within defined guardrails.
Leverage Databricks AI capabilities—including Unity Catalog, model serving, and vector search—and select appropriate models, prompting, retrieval, and orchestration patterns based on business needs, performance, scalability, and cost.
Establish evaluation, testing, and observability practices that ensure AI solutions are accurate, grounded, reliable, safe, measurable, and production-ready.
Design secure and responsible AI solutions with appropriate identity-aware access, human oversight, transparency, auditability, and controls for sensitive HR data and workflows.
Partner with Enterprise Data & AI and Security to establish reusable AI patterns, standards, and guardrails, rapidly evaluating emerging capabilities and scaling those that demonstrate measurable business value.
Data Engineering & Architecture
Design scalable HR data pipelines, products, and domain models on Databricks using medallion architecture and Unity Catalog to provide governed, secure access to trusted HR data.
Integrate structured and unstructured data across Workday, Databricks, enterprise applications, and AI services using MCPs, APIs, events, pipelines, and modern orchestration patterns.
Establish data products, contracts, semantic models, and metadata that define ownership, business meaning, quality, lineage, freshness, and appropriate use of HR data.
Ensure HR data is fit for analytics and AI through clear source-of-truth definitions, standardized business concepts, and strong data quality, privacy, security, and governance practices.
Design resilient architectures that appropriately balance scalability, performance, reliability, and cost in partnership with Enterprise Data & AI and system owners.
Team Enablement & Engineering Excellence
Mentor and pair with HR Tech engineers to build AI agents, Databricks solutions, data products, and automations, growing sustainable AI and data engineering capability across the team.
Establish reusable architectures, development patterns, documentation, and engineering standards that enable the team to independently build and scale solutions.
Partner with the HR Tech & Systems Development Lead to establish AI/agent observability, reliability, adoption metrics, and SLA/SLO practices while optimizing architecture, model usage, and compute for performance and cost.
Partner with technical leaders across Enterprise Technology to align HR Tech solutions with broader architecture and engineering standards.
Required Qualifications:
7+ years of software engineering, data engineering, AI/ML engineering, solution engineering, or related technical experience, with demonstrated experience designing and delivering production solutions in enterprise environments.
Demonstrated hands-on experience building and deploying generative AI and/or agentic AI solutions using LLMs, RAG, tool calling, orchestration, APIs, and modern AI architectures.
Demonstrated experience designing and delivering secure, resilient enterprise integrations within event-driven architectures using MCPs, APIs, webhooks, orchestration platforms, AWS lambda and relevant SaaS capabilities, with robust authentication, authorization, idempotency, retry, and error-handling patterns.
Hands-on experience with Databricks, including Unity Catalog, medallion architecture, and AI capabilities such as model serving, vector search, or Mosaic AI.
Experience designing scalable data pipelines, data models, and data products using structured and unstructured enterprise data.
Meaningful hands-on experience with HR technology, HR data, and employee lifecycle processes, including enterprise platforms such as Workday, VNDLY, Greenhouse, or ServiceNow.
Bachelor's degree in Computer Science, Information Systems, Software Engineering, Data/AI, or a related field, or equivalent practical experience.
Desired Qualifications:
Deep hands-on experience with Workday, including integrations/APIs, Extend, Prism, reporting, Business Process Framework, or Workday data architecture.
Experience with MCP, multi-agent architectures, enterprise knowledge systems, semantic search, and advanced RAG architectures.
Experience with Workato, Windsurf, Devin, TrueFoundry, Microsoft Copilot, or comparable AI development, automation, and deployment platforms.
Experience with AWS, GCP, or another major cloud platform, including CI/CD, DevOps, and production observability.
Experience with HR Analytics, workforce planning, talent intelligence, or other HR domain data models.
For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position!
Our Perks:
Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our
benefits pages
for more information.
At Riot Games, we
put players first
. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.
It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
Safeguarding confidential and sensitive Company data
Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
Accessing Company assets, secure digital systems, and networks
Ensuring a safe interactive environment for players and other Rioters
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
Location: San Francisco, CA, USA
About the role
Chime is on a mission to help millions of everyday people achieve financial progress — and we've built one of the strongest digital acquisition organizations in the industry to get there.
The Director of Growth and Acquisition owns what comes next: leading the full digital acquisition portfolio — paid social, paid search, affiliate, YouTube, mobile and app networks, and emerging channels — while building the capabilities that define Chime's next chapter of growth.
This is a leadership role, not a channel-management role. The foundation — building great teams, running healthy channels, and consistently delivering results — doesn't change. What changes is the mandate: this leader is accountable for delivering today's business while identifying and building tomorrow's growth engine, staying close enough to the ecosystem of platforms, agencies, and technology partners to bring new capabilities into Chime before they become table stakes.
This role sits within Chime's newly evolved Media & Acquisition organization, alongside a Director of Media leading Offline, Media Planning, and MMM. Together, these two roles are being broadened in scope as Chime moves from a channel-by-channel model toward a more complete, portfolio-level view of how every marketing dollar creates value.
In this role, you can expect to
Own performance across Chime's full digital acquisition portfolio (paid social, paid search, affiliate, YouTube, mobile/app networks, and emerging channels), delivering ambitious growth, efficiency, and CAC targets.
Make portfolio-level investment and prioritization calls across channels, talent, technology, and vendor partnerships, balancing near-term performance against long-term capability building.
Lead and develop a team of experienced channel managers as a true player-coach — close enough to the work to challenge assumptions and unblock hard problems, but focused on multiplying impact through people and systems.
Build new acquisition channels, partnerships, or technology-enabled growth motions — not just optimize the existing mix.
Stay plugged into the external digital ecosystem — platforms, agencies, AI/martech vendors, startups — to identify opportunities before they're obvious and bring new capability into Chime early.
Push the organization to rebuild how it works around AI: experimentation, creative production, media buying, and measurement — not just point-solution automation.
Partner cross-functionally with Media Planning/MMM, Growth Product Marketing, Analytics, Risk, and Finance to align channel strategy to company-level growth and CAC goals.
Represent Digital Acquisition in senior leadership forums, translating channel performance into business outcomes for Growth LT, EC, and Board-level audiences.
To thrive in this role, you have
Experience leading a multi-channel digital acquisition or growth organization with meaningful business accountability — not only channel-level metrics.
A demonstrated record of owning growth, efficiency, and business outcomes.
Experience managing a significant media portfolio and making prioritization tradeoffs across channels, technology, and vendors.
A leadership style that blends strategic range with hands-on credibility — comfortable operating as both strategist and player-coach.
Experience building or scaling teams and developing future leaders.
Comfort operating in a fast-moving, cross-functional, senior-executive-visible environment.
#LI-Hybrid #LI-AM1
Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
Wage Notice
$196,000
—
$270,000 USD
A little about us
At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential.
We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.
We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.
We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.
Because if we don't—who will?
*Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.
What we offer for our full-time, regular employees
🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location.
💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees.
✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life.
🏝 Generous vacation policy and company-wide paid days off
🫂 1% of your time off to support local community organizations of your choice
👟 Annual wellness stipend to use towards eligible wellness related expenses
👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
👪 Access to family planning reimbursement
💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress
We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.
Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact:
accommodations@chime.com
.
To learn more about how Chime collects and uses your personal information during the application process, please see the
Chime Applicant Privacy Notice
.
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 team
Anthropic's Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security commitments. We translate regulatory, customer, and voluntary obligations into controls that teams act on, and give leadership a bird's-eye view of how well we're meeting them. We're building toward a fundamentally different kind of GRC: one that directs Claude, with the right humans in the loop, to challenge and evidence the performance of controls continuously rather than through periodic audits.
Within Security GRC, Compliance and Audit Programs (CAP) runs the integrated audit across our frameworks and maintains the Common Control Framework the program hangs off. This role sits in Compliance & Audit Programs and works one regime family, US public sector, from requirements through authorization and ongoing compliance, working alongside the public sector engineering pods rather than downstream of them.
About the role
You'll help drive the compliance programs that keep Anthropic's US government authorizations current: federal civilian (FedRAMP, including FedRAMP 20x for Claude Enterprise), Department of War (DoD impact levels, CMMC, NIST SP 800-171), and state and local (StateRAMP, TX-RAMP and agency requirements). You'll own the recurring cycles those authorizations run on (continuous monitoring, POA&M, annual assessments, significant changes), help build new authorizations as we add them, and keep every frontier model's authorizations current.
You'll turn government requirements into specific, testable requirements that engineering teams build against, review the evidence that comes back, and say so when a launch is not ready for a government boundary. You'll map US government requirements onto our Common Control Framework so the public sector view and the integrated audit view of the same control stay one framework. Building with Claude is a normal part of the job: mapping, evidence collection and reporting, with you deciding where human judgment stays in the loop.
This is an individual contributor role, working closely with a peer on US public sector compliance, for someone who works well independently, writes clearly, and gets satisfaction from a government authorization that holds up as the product changes underneath it.
Key responsibilities
Run the recurring compliance cycles for our US government authorizations (continuous monitoring, POA&M, annual assessments, SSP updates, significant changes and incident notifications), starting with C4G on Palantir FedStart and the NIST SP 800-171 assessment with Schellman
Co-own FedRAMP 20x work for Claude Enterprise, and help build new authorizations (first-party FedRAMP High, DoW impact levels, StateRAMP and TX-RAMP) with requirements and evidence work
Support model authorizations in GovCloud and Vertex for every model launch, as the GRC member of the Inference and model delivery pod
Translate government obligations into partner team requirements, for example vulnerability SLAs in our internal vulnerability reporting platform, and review the evidence
Answer public sector customer and deal questions (what a boundary allows, CUI, IRS Publication 1075, CJIS, ITAR), and handle questionnaires and RFIs until they move to Customer Trust
Map US government requirements onto the Common Control Framework with the Controls Assurance Lead and keep one source of truth for status
Build with Claude: automate mapping, evidence collection and reporting, and verify machine-drafted language before it becomes the record
Minimum qualifications
Several years in security compliance or IT audit with hands-on US government compliance for a cloud service (FedRAMP, DoD impact levels, CMMC or NIST SP 800-171, or StateRAMP), including the ongoing compliance cycle after authorization
Working command of the NIST SP 800-53 Moderate baseline and the mechanics of authorization: boundary definition, control implementation statements, assessment, continuous monitoring, POA&M and significant change
Experience writing requirements for engineering teams from a control baseline and reviewing the evidence that came back
Working knowledge of how a GovCloud or Vertex style government region differs from commercial, and what changes when a model, feature or region is added to an authorized boundary
Enough technical fluency to read a runbook, configuration or pipeline definition and judge whether it enforces the written control
Clear writing, because implementation statements and status reports are what assessors, engineers and leadership work from
Ability to get partner teams to prioritize and close compliance work without authority over them
Preferred qualifications
Have taken a service through FedRAMP High or DoD IL4 or IL5, or supported a service on classified networks
Have worked on a FedRAMP 20x pilot or built machine-readable evidence or reporting for an assessor
Have applied LLMs to compliance work such as control mapping, evidence testing or continuous evidence collection
Hold or are eligible for a US security clearance
Experience with state and local requirements such as StateRAMP, TX-RAMP, IRS Publication 1075 or CJIS
You don't need to
Have done everything on this list or worked every regime. The scarce combination is running a government authorization on its recurring cycle plus the judgment to tell whether a control actually works
Write production code. The bar is fluency sufficient to read, query and challenge
Hold every certification. CISSP, CISA, CGRC or similar are welcome and not required
Have prior AI industry experience
Deadline to apply: None. Applications will be received on a rolling basis.
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:
$255,000
—
$270,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Ireland or UK
Overview
Smartling is an AI-native translation platform that's redefining how the world's biggest brands go global — ranked
#3 on Fast Company's Most Innovative Companies list
. We're growing rapidly at scale and are backed by Battery Ventures, a global technology-focused investment firm. While most companies are still figuring out how to use AI, we've spent years building it into the core of our platform — and we're just getting started.
We're looking for a Localisation Project Manager (Localisation Operations Specialist) based in Ireland or the UK to join our Managed Services team. In this role, you'll own the end-to-end localisation lifecycle for a portfolio of enterprise clients, serving as both their operational point of contact and a key contributor to how our team delivers value. This is a role for someone who brings real localisation experience, thrives in a fast-paced, remote-first environment, and is energized by the challenge of balancing operational precision with strong client relationships.
You Will
Act as your clients' embedded localisation operations expert, serving as the primary operational point of contact and trusted advisor for assigned accounts.
Foster strong stakeholder relationships, navigate competing priorities, and coordinate cross-functional teams to ensure the successful execution and continuous improvement of clients' localization programs.
Design and optimize localisation processes within Smartling’s platform and client-preferred project management and content management tools, overseeing the end-to-end job lifecycle and tailoring configurations to each client’s unique requirements, including effective use of AI tooling where applicable.
Solve problems both independently and collaboratively, bringing a solutions-first mindset to client challenges and internal roadblocks.
Proactively drive operational excellence by identifying and implementing process improvements, documenting best practices, and leveraging automation and AI-enabled solutions to streamline workflows, enhance scalability, and improve team efficiency
You Have
At least 2-3 years of experience in localisation or translation project management, ideally within a managed services or agency environment
Solid understanding of localisation file formats, content types, and CAT/TMS tooling
Strong client management skills: comfortable leading calls, navigating difficult conversations, and representing the team externally
Proficiency with project management and reporting tools (e.g., Jira, Asana, Google Sheets, Looker, or equivalent)
Experience coordinating with cross-functional teams across engineering, QA, and vendor management
Excellent organizational and time management skills, with sharp attention to detail and the ability to manage competing priorities across time zones
Strong written and verbal communication skills
Preferred but not required
Hands-on experience with Smartling or other TMS platforms (such as Phrase, XTM, or MemoQ)
Experience supporting enterprise or SaaS clients in an operational or customer-facing role.
Fluency or working proficiency in a second language
Interest in language, technology, or global content strategy
You Are
Accountable.
You take full ownership of your accounts, addressing issues promptly and documenting root causes and preventative actions for future improvement.
Customer-Focused.
You understand that client deadlines and requirements are real business commitments and consistently approach them with urgency, accountability, and care.
Adaptable.
You adjust effectively to changing scope, priorities, and unexpected client inputs without losing focus or execution quality.
Communicative.
You proactively stay ahead of client needs by sharing status updates, surfacing risks early, and contributing insights, guidance, and best practices.
Process-Driven.
You adhere to established processes while actively identifying opportunities to improve efficiency and consistency.
You Will Enjoy
Freedom 🏡- we are remote-first
Growth - an opportunity to learn and advance your career
Wealth 💰 - we offer a competitive salary
Wellness - company-sponsored Health insurance plan & pension plan with company matching
Balance - flexible PTO + 10 bank holidays! Generous parental leave
Culture 🤝- an energetic, value-driven, and fun culture and team spirit
Bonus - employee referral programs and Apple equipment
Smartling is proud to be an equal-opportunity employer. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, skills, and experiences.
To all recruitment agencies: Smartling does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias or Smartling employees. Smartling is not responsible for any fees related to unsolicited resumes.
*To work from home, you must have a strong internet connection, a quiet space, and a professional (distraction and clutter-free) background.
Location: Foster City, CA
Workplace: Hybrid
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.
ABOUT THE ROLE
We're looking for a Security Engineer with deep incident response experience to help defend Replit, a fast-moving, cloud-native AI vibe-coding platform. You'll be the person who takes charge when something goes wrong. You'll lead investigations from first signal to root cause, coordinate containment across Security, SRE, and Engineering, and keep stakeholders informed while the incident is moving fast.
This isn't a pure responder role. We want a well-rounded security engineer who has run real incidents and wants to make the next one faster. You'll write the scripts, automations, and tooling that take manual work out of triage, evidence collection, and containment. You'll also turn lessons from each incident into better detections, playbooks, and platform hardening.
RESPONSIBILITIES
Incident Response
- Serve as incident commander or technical lead for security incidents, from detection and triage through containment, eradication, recovery, and post-incident review.
- Coordinate response across Security, SRE, Engineering, Legal, and leadership. Drive decisions under pressure and keep a clear record of actions taken.
- Communicate incident status, impact, and risk clearly to technical and executive audiences.
- Participate in and help shape the security on-call rotation.
Investigation & Forensics
- Investigate suspicious activity across cloud infrastructure, containers, identity systems, and application layers using SIEM, Cloud Logging, telemetry, and host and container artifacts.
- Determine scope, root cause, attacker behavior, and blast radius for confirmed incidents.
- Quickly assess whether emerging threats (0-days, active exploitation campaigns, bug bounty findings, customer reports) apply to Replit, and whether we're already affected.
IR Automation & Tooling
- Build scripts, automations, and tools (Python, Go, Bash, or directly on Replit) that speed up response, such as automated enrichment, evidence collection, credential and session revocation, workload isolation, and alert triage.
- Develop and maintain response playbooks and runbooks, and automate them where possible.
- Integrate response workflows with SIEM, SOAR, ticketing, and chat tooling to cut time-to-contain.
Detection & Continuous Improvement
- Turn incident findings into new or improved detections, logging coverage, and visibility.
- Lead blameless post-incident reviews and drive remediation items to completion.
- Run tabletop exercises and simulations to test readiness and find gaps.
REQUIRED SKILLS & EXPERIENCE
- Proven experience leading or serving as technical lead on security incidents in a cloud or SaaS environment.
- Strong hands-on investigation skills with SIEM, cloud audit logs, and log-based analysis. Comfortable working through large datasets under time pressure.
- Proficiency writing production-quality scripts or tools in Python, Go, or Bash for investigation and automation.
- Solid knowledge of cloud architecture and security, especially Google Cloud Platform (IAM, audit logging, GKE, networking).
- Working knowledge of Kubernetes and containers, including how to investigate and contain compromised workloads.
- Understanding of identity systems, SaaS architectures, and common cloud attack paths (credential theft, privilege escalation, supply chain, token abuse).
- Familiarity with software engineering fundamentals, CI/CD pipelines, and package ecosystems, so you can work effectively with Engineering on code-level fixes.
- Understanding of IR frameworks and lifecycle (for example NIST 800-61), plus the vulnerability lifecycle and exploitability analysis.
PREFERRED QUALIFICATIONS
- Experience building or operating SOAR or other response automation platforms.
- Digital forensics experience with cloud, Linux hosts, or containers.
- Experience with threat intelligence, threat hunting, or security research.
- Experience with bug bounty programs or coordinated vulnerability disclosure.
- Familiarity with detection-as-code practices and writing detection rules.
- Experience in fast-paced, cloud-native, or AI/ML-driven environments.
- Relevant certifications (such as GCIH, GCFA, GCFR), or equivalent hands-on experience.
WHAT WE VALUE
- Curiosity & initiative: Strong desire to understand attacker behaviors, emerging threats, and how they apply to real-world systems.
- Speed & analytical rigor: Ability to quickly assess high-risk vulnerabilities with clear, evidence-based reasoning.
- Collaboration: Comfort working across cross-functional teams spanning Security, SRE, Engineering, and Infrastructure.
- Clear communication: Ability to explain findings, risks, and mitigation strategies to stakeholders at all levels.
- Ownership mindset: Takes initiative to drive investigations, improvements, and remediations to completion.
- Continuous learning: Passion for staying up to date on new vulnerabilities, exploit trends, and cloud-native security best practices.
Full-Time Employee Benefits Include:
💰 Competitive Salary & Equity
💹 401(k) Program with a 4% match (US Only)
⚕️ Health, Dental, Vision and Life Insurance
🩼 Short Term and Long Term Disability
🚼 Paid Parental, Medical, Caregiver Leave
🏝 Flexible Time Off (FTO) + Holidays
🚗 Commuter Benefits (In-Office & US Only)
📱 Monthly Wellness Stipend
🧑💻 Autonomous Work Environment
🖥 In Office Set-Up Reimbursement (In-Office Only)
🚀 Quarterly Team Gatherings
☕ In Office Amenities (In-Office Only)
Want to learn more about what we are up to?
- Self-driving Company https://replit.com/blog/self-driving-company
- Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale
- AI Adoption https://replit.com/blog/ai-adoption
- Build Open-Source Apps https://replit.com/build/open-source-app-builder
Interviewing + Culture at Replit
- Operating Principles https://blog.replit.com/operating-principles
- Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit
To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.
Location: Dublin, Ireland
About Us
Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience.
Quantitative Analyst:
As a Quantitative Analyst, you’ll operate at the intersection of sports trading, mathematics, and data science. Your primary focus will be on analyzing sport & betting data, developing predictive models, and assisting with trading decisions. You’ll collaborate with senior quants, traders, engineers and product managers to continuously improve pricing efficiency and expand the range of betting odds generated by our proprietary trading platform and continuously improve our risk models & management strategy. You will apply mathematical and statistical techniques to solve complex problems. It is an exciting opportunity for professional development in a dynamic and fast-paced environment.
This is a hybrid role, requiring 2-5 days per week in our Dublin, Ireland office. No Visa sponsorship available.
Experience
While junior roles often don’t require extensive experience, any exposure to financial markets, data analysis, or quantitative research is beneficial.
Internships or coursework related to quantitative finance or numerical modeling are a plus.
Responsibilities
As a Quantitative Analyst, your responsibilities will include
Model Development
Assist in the development, implementation, training and testing of mathematical models for pricing & managing the risk of sport betting events.
Data Sourcing & Analysis
Collect and clean sports-related data,
Analyze large datasets of play by play (simulated or historical) and betting data to identify patterns, trends, and correlations that can inform trading strategies.
Programming
Use programming languages such as C# or Python to develop quantitative models, code and automate analytical processes, and perform data analysis tasks.
Collaboration
Collaborate with senior quantitative analysts, traders & product managers to understand business requirements, implement solutions, and communicate findings effectively
Document and maintain clear and concise documentation of quantitative models, methodologies and analysis procedures for internal reference
Continuous Learning
Stay abreast of developments in quantitative analysis & betting markets, and related fields through self-study & training
Qualifications
Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, Finance, Economics, or a related quantitative field.
Outstanding mathematical, statistical and analytical skills.
Excellent work ethic and good team skills
Detail-oriented mindset with a commitment to producing high-quality work and adhering to best practices in quantitative analysis and research.
Strong understanding of more advanced machine learning techniques is a plus
Proficiency in at least one programming languages such as Python, C#, R, or C++ is a plus
Salary range is listed in USD; ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. *Salary Range: (EURO) 44,000 - 52,000 (Salary range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual Offer is confirmed). In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit
https://benefitsatfanatics.com/
Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.
For information about our benefits, please visit
https://benefitsatfanatics.com/
Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit
https://benefitsatfanatics.com/
Salary Range
€44.000
—
€52.000 EUR
By submitting your application, you agree to our terms of service and acknowledge you have read our
Candidate Privacy Policy.
Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it
here
.
Location: Dublin, Ireland
About Us
Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience.
About the Team
Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin.
We are seeking a Data Scientist I to join our growing Data Science organization on our newly formed Decision Science team. The role reports into the Decision Science Manager and will focus on creating insight to drive the growth of the business, partnering closely with senior commercial stakeholders and their teams. Supporting commercial and analytics stakeholders with high level Sportsbook & Casino strategy will be a top priority for this Data Scientist, as well as providing ongoing analysis and recommendations to stakeholders.
Responsibilities
Develop a deep understanding of the iGaming ecosystem, encompassing both Sportsbook and Casino products, operations, and player behavior.
Build strong relationships with stakeholders across both Sports and Casino business units, serving as a key technical contributor to driving total commercial performance.
Collaborate with Data Scientists and Analysts to implement and refine scalable solutions for complex iGaming business problems.
Contribute to the development, deployment, and iterative improvement of automated personalization and promotion engines across the iGaming suite.
Build and maintain sophisticated Lifetime Value (LTV) models to improve player segmentation and marketing efficiency.
Remain current on technology, machine learning trends, and competitive shifts within the global sports betting and gaming industry.
Experience and Skills
A minimum of 2+ years proven experience in a data science or advanced analytics role.
Degree in a quantitative field, e.g., Mathematics, Physics, Statistics, Engineering, or Computer Science, Economics.
Strong SQL proficiency and strong proficiency in Python, with experience building and validating machine learning models.
Strong understanding of statistics concepts such as regression, clustering, and A/B testing in high-growth environments.
Expertise in experimental design and causal inference, including A/B/n testing, quasi-experiments, and uplift modeling to determine true incremental value.
Demonstrated ability to partner with stakeholders, earning trust through data-driven insights and clear communication.
Outcome-oriented and data-driven; comfortable navigating fast-paced, high-growth environments.
Preferred but not required
Experience experimenting with Generative AI solutions (e.g., LLM-based analysis, automation, or insight generation) and identifying opportunities to apply them within a commercial analytics environment.
Previous experience in iGaming (Sportsbook or Casino), or previous experience with Customer Lifetime Value models is a significant plus.
Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.
For information about our benefits, please visit
https://benefitsatfanatics.com/
Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit
https://benefitsatfanatics.com/
Salary Range
€47.300
—
€59.400 EUR
By submitting your application, you agree to our terms of service and acknowledge you have read our
Candidate Privacy Policy.
Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it
here
.
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
This is an overnight shift role with working hours of 12:00am - 7:00am EST.
As a Support Engineer on our U.S. Government Support Engineering team, you operate at the critical intersection of Support and Engineering, enabling public sector organizations and United States government agencies to run GitLab in some of the most secure and constrained environments in the world. Your work directly supports national security missions, including customers operating within FedRAMP-authorized, air-gapped, and classified or semi-classified environments where traditional troubleshooting approaches are not always possible.
In this role, you will engage deeply with GitLab through the command line; analyzing logs, system behavior, and application performance with strong Linux fundamentals and an understanding of how GitLab’s components interact end-to-end. You may partner with Product and Engineering to reproduce and document edge-case defects using sanitized or redacted data, or contribute directly to the product by opening merge requests that resolve customer-impacting issues. Beyond resolving individual cases, you’ll help strengthen GitLab by improving documentation, support workflows, and institutional knowledge, ensuring that lessons learned in highly regulated environments benefit the broader platform; all while working in a fully remote, highly collaborative environment built on trust, autonomy, and shared ownership.
Some examples of our projects:
A tool to quickly analyze strace output
A solution to capture the state of a customer’s server for easier troubleshooting
A functionality to ChatOps to make it easier to identify user accounts on GitLab.com
What you’ll do
Collaborate closely with public sector customers, including U.S. government agencies, the Department of War, and Intelligence Community organizations, to diagnose, troubleshoot, and resolve complex issues in GitLab deployments operating under strict security, compliance, and operational constraints.
Perform deep, hands-on technical investigations using Linux command-line tooling and GitLab internals to analyze logs, system performance, and application behavior, often with limited telemetry or incomplete datasets. You will trace issues across infrastructure, application, and code paths to identify root causes, recommend mitigations, and drive durable fixes; frequently partnering with GitLab Product, Development, and Infrastructure teams to ensure outcomes that meet both mission and platform reliability requirements.
Create and update clear, reusable documentation and support content based on real customer interactions to improve self-service and reduce repeated issues.
Participate in regular
pairing sessions
with other Support Engineers and act as a
stable counterpart
to cross-functional teams to share knowledge and improve support processes.
Contribute to building and refining internal support tools and workflows, including automation and troubleshooting utilities, to make diagnosing and resolving issues more efficient.
Participate in weekday and weekend on-call rotations, providing timely emergency support for self-managed customers operating in restricted and compliance-focused environments.
Support the growth of the team by reviewing applications and assessments, and participating in interviews and hiring decision discussions.
What you’ll bring
Due to government security requirements, you must be a United States Citizen (defined as any individual who is a citizen of the United States by law, birth, or naturalization) to be eligible for this position
Experience managing customer-facing cases across the full support lifecycle, from initial inquiry and triage through reproduction, escalation, and resolution
Strong Linux systems administration knowledge, with the ability to troubleshoot performance and configuration issues in complex environments
Familiarity with AI/LLM-powered developer tooling and gateway architectures (for example GitLab Duo, AI gateway configurations, or similar model-serving/proxy layers), including how they're deployed and troubleshot in self-managed or air-gapped environments
Ability to use scripting languages (preferably Ruby or Bash) and work within model-view-controller frameworks (preferably Ruby on Rails) to investigate and resolve issues
Practical experience with Git and continuous integration/continuous delivery (CI/CD) workflows
Skill in creating and maintaining clear, accurate support content and technical documentation
Ability to explain complex technical topics in a clear, empathetic way to customers and coworkers with varying technical backgrounds
Familiarity with DevOps practices and container-orchestration technologies such as OpenShift and Kubernetes
Understanding of common information security and compliance concepts and controls (for example DISA STIG and SELinux), and eligibility to work on United States federal customer environments as required for this role
About the team
At GitLab Federal, LLC, the U.S. Government Support Engineering team partners with public sector organizations and United States government agencies to support GitLab in highly secure, mission-critical environments. Our work directly enables national security outcomes, supporting customers across the Intelligence Community, Department of War, and other federal, state, and local government entities operating within regulated and restricted boundaries.
We are embedded within Support Engineering and work closely with Product, Development, Infrastructure, Customer Success, and Sales to solve complex, high-impact technical challenges. Our team frequently dives into code, logs, and architectural behavior to understand not just what is failing, but why; especially in environments with sanitized data, limited visibility, and strict compliance controls such as FedRAMP. We collaborate asynchronously across time zones and through structured pairing and discussion to share knowledge, strengthen solutions, and continuously improve how GitLab supports secure, air-gapped, and regulated deployments, while upholding GitLab's standards for rigor, transparency, and technical excellence.
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
$95,200
—
$160,800 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: Poland; Czech Republic; Slovenia; Bulgaria; Latvia; Spain; Ukraine; Lithuania; Greece; Croatia; Estonia; Serbia; Armenia; Portugal; Italy; France / Paris; Malta; Türkiye; Slovakia
Workplace: Remote
Location: Remote, Europe Time Zone
Start Date: ASAP
Employment Type: Full-Time
Team: Core Compute & Distributed Systems
Language: English
ABOUT THE ROLE
We are looking for an experienced Engineering Manager to lead a team building the distributed systems that power a decentralized compute and storage platform.
You will lead a team of senior engineers working on P2P networking, distributed storage, compute orchestration, and core platform services. You’ll combine people leadership with strong technical ownership, helping shape architecture, guide execution, and stay hands-on with critical systems and production code.
This is a great opportunity for a technical engineering leader who enjoys working close to complex distributed systems, making pragmatic architectural decisions, and building a strong engineering culture in an async, writing-first environment.
WHAT YOU’LL DO
- Lead, mentor, and grow a high-performing team of distributed systems and backend engineers
- Drive the technical direction and execution of core P2P, compute, and distributed platform systems
- Stay hands-on with architecture, design, implementation, and technical problem-solving
- Guide the development of high-throughput distributed protocols, including peer discovery, communication, replication, and data distribution
- Oversee systems responsible for compute orchestration, provisioning, scaling, and workload distribution
- Champion reliability, resilience, observability, and production readiness across the platform
- Establish strong engineering practices around testing, CI/CD, releases, incident response, and root-cause analysis
- Work closely with Infrastructure, Product, Security, and Platform teams on roadmaps, priorities, and cross-team dependencies
- Run effective 1:1s, retrospectives, performance reviews, and career development conversations
- Translate technical and business priorities into clear execution plans and measurable outcomes
- Foster a culture of ownership, technical excellence, pragmatic decision-making, and continuous improvement
WHAT WE’RE LOOKING FOR
- 7+ years of software engineering experience, with 3+ years in an Engineering Manager or technical leadership role
- Proven experience leading teams building and shipping distributed systems or infrastructure software to production
- Strong understanding of P2P and distributed systems, such as peer discovery, DHTs, gossip protocols, NAT traversal, replication, consensus, or content-addressed systems
- Strong backend and systems programming experience, ideally with Go, or alternatively C/C++ or Rust
- Solid understanding of concurrency, networking, distributed communication, and fault-tolerant system design
- Experience with compute orchestration, distributed storage, distributed databases, or platform infrastructure
- Familiarity with technologies such as libp2p, gRPC, Protobuf, IPFS/CIDs, Kubernetes, or containerized infrastructure
- Experience with observability and production operations, including tools such as Prometheus, Grafana, OpenTelemetry, or distributed tracing
- Strong understanding of Linux systems and networking fundamentals
- Experience establishing engineering standards around automated testing, CI/CD, release processes, and incident management
- Strong technical judgment and the ability to balance hands-on engineering, people leadership, and strategic decision-making
- Excellent written and verbal communication skills, with the ability to work effectively in a remote and async environment
NICE TO HAVE
- Experience with distributed storage, object storage, distributed filesystems, or data integrity systems
- Knowledge of S3 APIs, NFS, FUSE, POSIX semantics, block storage, or storage engines
- Experience with erasure coding, sharding, garbage collection, or large-scale data migration
- Experience managing multi-cloud, bare-metal, or geographically distributed infrastructure
- Familiarity with GPU infrastructure, distributed AI compute, model serving, or inference routing
- Experience with infrastructure-as-code such as Terraform, Pulumi, or similar tools
- Experience working with decentralized, blockchain, Web3, or other P2P architectures
WHY THIS ROLE MATTERS
- Shape a distributed platform from the core: Influence the architecture of the systems that power decentralized compute and storage
- Lead a strong technical team: Mentor senior engineers and build an environment where engineers can do their best work
- Stay hands-on: Continue solving complex technical problems while growing as an engineering leader
- Work on genuinely distributed infrastructure: Tackle challenges around networking, replication, resilience, data distribution, and compute at scale
- Influence architecture: Make meaningful technical decisions rather than simply managing delivery
- Work across the platform: Collaborate with Infrastructure, Security, Product, and Backend teams
- Remote-first and async: Work remotely with strong European time-zone overlap in a writing-first engineering culture
HOW WE WORK
We favor clear written communication, focused deep work, and pragmatic engineering over unnecessary meetings and synchronization.
Our engineering culture emphasizes:
- RFCs and well-documented technical decisions
- High automated test coverage and rigorous production validation
- Pragmatic, maintainable code
- Strong observability and operational ownership
- Regular production releases
- Continuous improvement through retrospectives and post-incident reviews
Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination or harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.
Zадачи:
— Участие в проектах консалтинга и внедрения Dynamics 365 от сбора требований до настройки, интеграции, тестирования, развертывания и постоянного улучшения решений.
Требования для CRM / Customer Engagement:
— Опыт с Dynamics 365 Sales и Customer Service.
— Знание Power Platform, Power Apps, Power Automate и Dataverse.
— Понимание процессов продаж, обслуживания и customer journey.
— Навыки настройки, автоматизации, работы с данными и интеграциями.
Требования для Finance & Operations:
— Опыт с Dynamics 365 Finance и Supply Chain Management.
— Знание финансовых, операционных процессов и цепочки поставок.
— Опыт с Procure-to-pay, order-to-cash, record-to-report и управлением запасами.
— Навыки отчетности, работы с мастер-данными, миграциями и интеграциями.
Дополнительно:
— Способность понимать проблемы, предлагать решения, работать с клиентами и реализовывать их.
УдалённоГеография найма не уточнена, офис: Argentina
About the Job
We're looking for a manager to own the performance of our Document Processing team and lead the Processing Supervisors who run it day to day. This is a leader-of-leaders role: you'll set operating standards and KPIs, develop your Supervisors into stronger people managers, and drive the efficiency, quality, and retention gains that let the function scale with the business. If you think in systems, lead through others, and measure what matters, this role is for you. This role requires on-site work at our Tualatin, Oregon office during initial training, after which the position is eligible for remote work. The ideal candidate will have experience managing a remote team distributed across multiple time zones.
Responsibilities
Leadership & Team Development:
— Lead and develop a team of Processing Supervisors, setting clear expectations and cascading department goals to their frontline teams
— Coach Supervisors through regular one-on-ones, performance reviews, and development plans that build their leadership capability
— Own staffing strategy, capacity planning, and workload balancing across shifts and queues, holding Supervisors accountable for day-to-day execution
— Drive engagement and retention through succession planning, career pathing, and recognition — reducing turnover in a high-volume processing environment
— Set the culture for the department — collaborative, accountable, and customer-focused.
— Partner with HR on employee relations and performance management escalations
Operational Strategy & Efficiency:
— Set and continually monitor service level targets and operating standards for the department, and hold Supervisors accountable to them
— Own the efficiency roadmap for the function — redesign workflows, eliminate rework, and evaluate automation and tooling opportunities to increase throughput per employee without sacrificing accuracy
Performance, Metrics & Reporting:
— Define the KPI framework for the department — throughput, accuracy, turnaround time, cost per document — and the reporting cadence behind it
— Analyze trends across queues, response times, and productivity to forecast volume and reallocate capacity ahead of demand
Process & Compliance:
— Own the department's SOP library and control environment, ensuring adherence to company policy and client compliance standards
— Keep documentation and process controls audit-ready for internal and client reviews
— Sponsor implementation of new tools, systems, and procedures — from business case through Supervisor and team adoption
— Partner cross-functionally with Product, Support, and Client Success to fix upstream causes of processing volume and exceptions
— Additional responsibilities as assigned
Qualifications
What You Bring:
— Proven ability to lead through others — experience managing supervisors or team leads, not only individual contributors
— Analytical and data-driven — comfortable building KPI frameworks, reading operational data, and making staffing and process decisions from it
— A track record of measurably improving efficiency, quality, or retention in a high-volume operation
— Change management skills — able to roll out new tools and processes and win adoption at both the Supervisor and frontline level
— Insurance, compliance, or credentialing domain knowledge is a plus
— Strong written and verbal communication, including presenting performance and recommendations to senior leadership
Requirements:
— Bachelor's degree or equivalent professional experience
— 5+ years in document processing, operations, or a shared-services environment, including 2+ years managing people leaders
NetVendor Benefits Package:
— Medical, dental, and vision insurance
— HSA, FSA, and DCFSA
— Long- and short-term disability insurance
— Company-paid standard life insurance
— Generous paid time off policy
— Paid holidays: 7 per year + 1 floating holiday
— Maternity Leave
— 401(k) with company match
— Employee Assistance Program
Location: New York; Remote-Connecticut; Remote-Pennsylvania; Remote-New Jersey; Remote
Workplace: Remote
LIFE AT UIPATH
The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.
To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.
Could that be you?
YOUR MISSION
As an Enterprise Account Executive for UiPath Retail Solutions, Peak AI, you'll focus on bringing new retail customers to UiPath. Peak has joined UiPath to help build a world-class, enterprise-grade Agentic AI offering, and you'll be a specialist in selling AI-powered pricing and inventory optimization to retailers.
Peak's AI platform optimizes inventory and pricing for global industry leaders including Nike, Heidelberg Materials, and PepsiCo. We believe businesses need their own AI, built for their business and trained on their data. Peak's pre-built AI products can be configured to fit each customer's needs.
You'll find and develop new enterprise retail accounts, run the discovery to understand their problems, and link challenges like margin leakage, markdown pressure, promotional inefficiency, demand volatility, and excess or out-of-stock inventory to clear, measurable business outcomes. You'll own pipeline generation and ARR targets as part of a close-knit enterprise sales team.
What you'll do at UiPath
- Grow Retail Solutions revenue by meeting and exceeding quarterly sales targets through net new logos within our retail ICP
- Build your own pipeline through insight-led outbound work (networking, cold calls, email, social selling, and events), focusing on retailers where pricing, margin, and inventory performance are strategic priorities
- Own the full consultative sales cycle: discovery, problem framing, solution design, commercial structuring, negotiation, and close
- Lead value-based selling that uncovers opportunities in base pricing, promotions, markdowns, inventory allocation, and replenishment
- Turn retailer challenges into tailored solution frameworks that tie Peak's capabilities to outcomes such as margin expansion, better sell-through, reduced inventory carrying costs, and stronger pricing discipline
- Build and present ROI narratives and business cases for retail executives, including the CFO, Chief Merchandising Officer, VP Pricing, VP Planning & Inventory, and Supply Chain leaders
- Work with Solution Engineering and the Data Insights team to run pre-sales motions and co-create solutions that fit each customer's data, systems, and workflows
- Partner with Marketing on retail-focused campaigns and turn the resulting leads into qualified opportunities
- Structure and negotiate value-based enterprise agreements
- Develop relationships with regional and global SIs and ecosystem partners throughout the sales cycle
- Keep weekly, monthly, and quarterly forecasts accurate, and manage pipeline across complex, multi-stakeholder deals
What you'll bring to the team
- 3+ years of enterprise SaaS sales experience in complex, multi-stakeholder sales cycles with an emphasis on the Retail industry.
- A consistent record of exceeding quota in new logo acquisition, particularly with mid-sized and large enterprises
- Direct experience selling to retailers, plus a solid understanding of retail merchandising, pricing strategy, margin drivers, and inventory management
- Experience selling pricing, revenue optimization, inventory, supply chain, or related analytics/AI solutions
- The drive to create your own pipeline
- Strong consultative selling skills, including discovery, problem framing, and value articulation
- The ability to engage and influence senior executives and act as a trusted advisor
- Training in customer-centric sales methodologies (MEDDPICC, Force Management, or similar)
- Experience working with SI and partner networks during the sales cycle
- Strong collaboration with Solution Engineering, Product, Marketing, Partners, and Customer Success
- Willingness to travel up to 50% for prospect and customer meetings, partner engagements, and retail industry events
- Authorization to work in the United States
What sets you apart
- An understanding of advanced analytics, machine learning, and/or AI, and the ability to connect technical capabilities to financial results (margin, revenue, inventory cost)
- Experience selling into retail pricing transformation, merchandising, or commercial excellence initiatives
- Comfort leading ambiguous, discovery-driven sales cycles where the solution is shaped together with the customer
- Skill at turning data and insights into compelling business cases and executive narratives
- An existing network across US retail merchandising, pricing, and planning leadership
#LI-KS6
Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned.
Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.
We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.
Location: Remote, United Kingdom
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.
What this role is about
You'll manage a team of Assigned Support Engineers who provide relationship-based technical support to GitLab's biggest enterprise customers. ASEs work proactively with customers to find root causes and prevent repeat issues, which is different from working a ticket queue. They also turn their actions and activity into outcomes and deliverables that show customers the ROI they get from GitLab.
You'll build a team that works independently, owns issues from start to finish, and knows when to ask for help. When a customer relationship is in trouble, you'll work alongside the account teams to bring it back to health. You'll also help improve the ASE program in ways that matter to customers and to the company.
What you'll do
Hire, coach, and develop ASEs. Hold regular 1:1s, give direct feedback, deal with performance issues early, and build a team where people feel safe raising problems.
Pay attention to engagement and retention, and coach the team on GitLab's values and operating principles.
Train ASEs to run technical interviews so the hiring pipeline doesn't depend on you.
Set clear goals and expectations, track progress across onboarding, relationships, escalations, and KPIs, and connect the team's work to company priorities. Help ASEs prioritize across accounts when everything feels urgent.
Lead escalations from start to finish. Work with Engineering, Product, Sales, and Customer Success to get the right people moving, and keep the customer informed and confident in the plan.
Work alongside the account teams to bring at-risk customers back to health, including renewal and expansion risk driven by support concerns. Build the recovery plan, drive the technical side, and report on progress until the customer is stable.
Help ASEs translate their actions and activity into outcomes, deliverables, and ROI, and present that to customers and executives in clear decks that cover what happened, what you're doing about it, and what comes next.
Work with the ASE leadership team on initiatives that improve the program and customer outcomes, and see yours through to results.
Partner with Sales, Customer Success, CSMs, Product, and Engineering to push for what customers need, and contribute utilization and onboarding data to capacity and headcount planning with Finance and sales leadership.
Document how the team works and find ways to make it more efficient through tools, process changes, and automation. Use AI well in your own work and coach ASEs to do the same.
What you'll bring
5+ years in technical support, with at least 2 years managing customer-facing technical teams.
Experience with high-touch or assigned support for enterprise customers. Professional services delivery counts. Experience across Self-Managed, GitLab Dedicated, and GitLab.com is a plus.
A strong record of handling escalations with both internal teams and customers. You stay calm, keep people aligned, and know when to bring in leadership.
The ability to turn a complicated or nuanced situation into a clear written story and tie activity to outcomes with numbers.
A customer-centric approach balanced with good judgment about what the service, the team, and the company can deliver, and experience working with account teams to bring struggling customers back to health.
A record of getting work done across teams through influence and strong working relationships. You can work with Sales, CS, and account teams to set clear expectations for the ASE service and find the right path for each customer.
Willingness to be available outside standard hours, including weekends, for the occasional critical escalation or customer-impacting incident.
Comfort with ambiguity and change. You keep a team steady while priorities, processes, and the program evolve, and you explain the reasons for changes so people stay engaged.
A strong technical foundation to guide engineers in complex, production-critical environments, including Linux system administration and web application development concepts. Familiarity with Git, DevOps practices, or GitLab is helpful.
A history of developing engineers at different skill levels through real feedback, mentoring, and clear expectations.
Process skills that make a team more efficient without adding bureaucracy, and comfort leading a remote, globally distributed team using metrics and customer feedback.
About the team
The ASE team is spread across AMER, EMEA, and APAC and works mostly async, with regular pairing sessions, 1:1s, and Slack. We support GitLab's largest and most strategic customers, who run GitLab in production-critical environments. We dig into code and logs, work across departments, and focus on root cause, trends, preventing repeat issues, and providing the technical acumen that helps customers get the most value out of GitLab for their business.
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: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Location:
Austin
Job Title:
Senior
Software Engineer, Cloudflare for SaaS
Role Summary
Cloudflare for SaaS lets SaaS providers offer their services on domains branded for each customer, rather than on the provider's own domain. The product powers customer domains and automates the complex work behind onboarding domains, validating ownership, issuing and renewing certificates, and safely deploying configuration across Cloudflare's global network.
The team builds the APIs and control-plane systems used by some of the world's largest platforms. We are evolving these systems to support tens of millions of customer domains, faster and more reliable APIs, simpler configuration at scale, and more Cloudflare products for each customer domain. This work combines customer-facing product development with challenging problems in distributed systems, data modeling, state consistency, observability, and operational reliability.
Cloudflare is looking for a Software Engineer to design, build, and operate the services behind Cloudflare for SaaS. You will work primarily on backend services and RESTful APIs in Go and other languages, modernize legacy control-plane workflows, and improve the reliability and scalability of production systems. You will collaborate with product managers and engineers across Cloudflare, write clear technical specifications, review code, instrument services, and help diagnose and resolve operational issues.
What You'll Do
Design, build, and operate reliable backend services and APIs for managing customer domains and their configuration.
Evolve the control plane to support tens of millions of customer domains without sacrificing correctness, availability, or API performance.
Improve certificate and domain lifecycle workflows, including onboarding, validation, renewal, migration, and safe deletion.
Model ownership and shared state carefully so changes remain consistent across distributed services and configuration stores.
Build useful observability, alerts, and operational procedures, and participate in debugging and incident response.
Collaborate across engineering and product teams, document designs and tradeoffs, and review the work of fellow engineers.
Role Requirements (Must-Have Skills)
3+ years of professional experience building backend systems at a technology company.
Experience writing production-quality code in Go or another language, with a willingness to learn Go.
Experience designing, building, and operating distributed systems or high-scale services.
Strong debugging and troubleshooting skills across applications, data stores, and production environments.
Proficiency with modern Unix/Linux development and runtime environments.
A track record of delivering well-tested, reliable code and taking ownership of it in production.
Clear written and verbal communication, including the ability to explain technical decisions and tradeoffs.
Desirable Skills, Knowledge, and Experience
Experience designing and evolving RESTful APIs used by external customers.
Working knowledge of SQL and relational databases such as PostgreSQL, including schema and query design.
Understanding of distributed-systems concerns such as consistency, caching, concurrency, and failure recovery.
Experience modernizing legacy systems or migrating workflows to a service-oriented architecture.
Experience with observability tools and practices, including metrics, logs, tracing, alerting, and SLOs.
Familiarity with PKI/TLS, certificate lifecycle management, ACME, DNS, or domain validation.
Experience with message queues, Kubernetes, or globally distributed configuration systems.
Interest in building intuitive product experiences for customers managing large fleets of domains.
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
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 is seeking a member to join Financial Reporting team within Accounting. In this role, you will own some of the most important pieces of our external reporting: the consolidated statement of cash flows, subsidiary and other compliance-related reporting, and the peer benchmarking that keeps our disclosures clear and comparable.
This is a hands-on individual contributor role for someone who wants to shape how a financial reporting function works, not just run it. Our team builds with Claude every day, and you will help design the workflows and automation that make our reporting faster, more accurate, and more scalable. You will partner closely with Technical Accounting, Controllership, Tax, Legal, FP&A, Corporate Development, and our external auditors.
If you enjoy owning complex reporting end to end, have strong judgment on disclosure, and are excited to reinvent how financial reporting gets done with AI, we would love to hear from you.
Key responsibilities
Own the consolidated statement of cash flows end to end, including preparation, supporting schedules, classification analysis, non-cash disclosures, and review with our external auditors
Lead subsidiary and other compliance-related reporting, such as entity-level and special-purpose financial statements, lender and covenant reporting, and other regulatory or contractual reporting requirements
Lead the adoption of new accounting standards: impact assessment, data and system changes, disclosure drafting, controls, and review with our external auditors
Lead stock-based compensation reporting, including the expense and award-activity roll-forwards
Contribute to the preparation and review of periodic SEC filings (Forms 10-Q and 10-K) and related disclosures
Contribute to peer disclosure benchmarking, including frequent and proactive review of peer disclosures and assessment of Anthropic's disclosures in comparison to peers
Partner with valuation specialists, Technical Accounting, Tax, and Corporate Development on purchase accounting and post-close reporting for acquired entities
Identify opportunities to leverage Claude and automation tools to improve reporting processes, with a hands-on willingness to test and adopt new technologies as they emerge
Build and maintain Claude-powered reporting workflows (e.g., roll-forwards, tie-outs, disclosure drafting, benchmarking) and document them so the broader team can use and extend them
Design and maintain the process documentation and controls that support your areas, and serve as a primary point of contact for auditors on them
Minimum qualifications
Hands-on ownership of a statement of cash flows, including preparation, classification under ASC 230, and support for audit review
Experience with subsidiary, statutory, or other compliance-related reporting (e.g., entity-level financial statements, lender or covenant reporting, regulatory filings)
Experience using Claude or similar AI tools to build new financial reporting workflows or automation
Strong working knowledge of US GAAP and SEC reporting requirements, including Regulation S-X and S-K
Clear, concise written and verbal communication, including the ability to explain complex accounting topics to non-accounting partners
Sound judgment and comfort owning ambiguous work, setting priorities, and meeting filing deadlines with minimal oversight
Passion for Anthropic's mission to build safe, transformative AI systems
Preferred qualifications
12+ years of experience in financial reporting, SEC reporting, or public accounting, including time at a public company or one preparing to go public
Have built or run a peer disclosure benchmarking program, including use of EDGAR full-text search or XBRL data
Have built reusable Claude or similar AI skills, agents, or processes
Experience with international statutory reporting or consolidation of special-purpose entities
CPA or equivalent certification
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:
$230,000
—
$300,000 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.
УдалённоleadUnited States
San Francisco, CA | New York City, NY | Seattle, WA
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