Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We are looking for a Staff Program Manager to own the Services Business Process Automation (BPA) function — the digital backbone of our Services organisation. BPA runs the Service Lifecycle Management (SLM) platform, the Business Intelligence and reporting layer, and the integration of our business applications with customer IT/OT ecosystems — all operating within the corporate IT governance framework.
This is a strategic, hands-on ownership role. You will define and own the BPA program and roadmap, lead cross-functional platform deployments end to end, and connect corporate digitalization strategy to on-the-ground Services execution. You will work closely with Services leadership, product and corporate IT, and external technology partners.
WHAT YOU’LL DO:
- Define, own, and continuously evolve the BPA roadmap: SLM platform strategy, BI architecture, process-automation priorities, and customer IT/OT integration.
- Translate corporate digitalization objectives and Services business priorities into a structured, time-phased program with clear milestones and resource plans.
- Lead cross-functional software deployments and platform integrations from requirement scouting to hypercare, applying Agile (Scrum/Kanban) and structured PMO practices.
- Own the program-governance framework — risks, dependencies, change control, escalation, and steering-committee reporting — and track schedule, budget, adoption, data quality, and SLA impact.
- Champion the Services Lean First KPI framework and ensure BI reporting reflects real operational progress across the whole Services organisation.
- Manage vendor relationships, program budgets, and build-vs-buy-vs-integrate decisions for new BPA tools and platforms.
- Act as the strategic interface between Services leadership, product leadership, and corporate IT — simplifying complex technical realities into clear business narratives for executives.
WE’RE LOOKING FOR:
- 8–12+ years in digital/IT program management, with a track record of leading large-scale CRM, SLM, or ERP deployments.
- Proven success managing complex cross-functional programs in mechatronics, industrial automation, robotics, field service, or advanced manufacturing.
- PMP, PRINCE2, or equivalent program-management certification; Agile (SAFe, Scrum Master, or Kanban) is a strong plus.
- Solid understanding of CRM and SLM platforms, BI architectures, and enterprise integration patterns.
- Experience holding full budget accountability for digitalization programs.
- Elite stakeholder communication — able to build consensus across diverse functional and executive stakeholders.
NICE TO HAVE:
- Exposure to humanoid robotics, cobots, or other advanced-technology industries.
- Familiarity with service benchmarks in relevant industries.
- Experience introducing BI as a shared intelligence layer across a multi-team organisation.
- PMO tooling proficiency (MS Project, Jira, Smartsheet, or equivalent).
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
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
The Fraud Prevention team protects Anthropic's payment and monetization surfaces from financial abuse — keeping fraud losses, dispute rates, and network monitoring exposure in check while preserving a smooth experience for legitimate customers. As a software engineer on this team, you will build the systems that make risk decisions in real time, manage the dispute and chargeback lifecycle, and detect monetization abuse across subscriptions, in-app purchases, and promotions. The ideal candidate can see things from attackers' perspectives, anticipate their responses to countermeasures, and never loses sight of the fact that a false positive here is a paying customer.
Payments fraud is more externally coupled than most trust and safety work — you'll collaborate closely with finance, support, and legal teams internally, and with payment processors and platform partners externally.
Responsibilities:
Design and build real-time risk decisioning that scores transactions at authorization time, balancing fraud loss, approval rates, and latency constraints
Build tooling and automation for the dispute and chargeback lifecycle, from review queues to evidence collection and loss reporting
Engineer fraud signals at scale — device fingerprinting, BIN and issuer signals, velocity features, and cross-account linkage — and detect monetization abuse across subscriptions, trials, promotions, and in-app purchases
Own a portfolio of metrics — loss rate, dispute rate, authorization approval impact, and false-positive rate — rather than optimizing any single number
Lead investigations into emerging fraud patterns, building multi-layered defenses designed for attacker adaptation rather than point-in-time rules
Work cross-functionally with finance, support, legal, and data science, and with external payment processors and platform partners
Minimum Qualifications:
Proficiency in Python, SQL, and data analysis tools
Experience building or operating fraud, risk, or abuse detection systems in production
Strong communication skills and ability to explain complex technical tradeoffs to non-technical stakeholders
Preferred Qualifications:
8+ years of industry software engineering experience, with a focus on payments fraud or risk
Fluency with payments rails: card networks, payment service providers (e.g., Stripe, Adyen), in-app purchase platforms (Apple, Google), refund flows, and the chargeback and dispute lifecycle
Direct experience combating fraud typologies such as card testing, stolen-card monetization, refund and chargeback abuse, subscription and trial abuse, promotional abuse, and friendly fraud
Understanding of fraud loss accounting — fraud loss vs. dispute fees vs. card network monitoring programs (e.g., VDMP, i VFMP, Mastercard ECP) — and why chargeback rate thresholds carry existential stakes
Experience building hybrid rules-and-ML risk systems: real-time scoring at authorization plus post-authorization review workflows
Experience at a marketplace or subscription business, or on a processor-side or issuer-side risk team
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: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Application Security team secures the systems that build, serve, and increasingly
are
Claude — and as Anthropic's footprint grows, that mandate now extends to companies and codebases we bring in from outside. This role establishes that function.
You'll own security due diligence and secure integration for Anthropic's acquisitions — assessing a target's security posture pre-close, writing the security risk readout for leadership, and after close, bringing acquired systems up to Anthropic's bar. Security has been part of every deal to date, but this is the first dedicated role for it: you'll formalize the playbook, the risk model, and the tooling, and make them repeatable.
This is an AppSec role first. You'll be an active member of the Application Security team — same rituals, same on-run rotation, same tooling, working alongside engineers securing Anthropic's own agentic product surfaces. The expectation is the same too: we use Claude as our primary tool, and you're expected to automate the repeatable parts of diligence and integration as you go, so each acquisition is easier than the last. When deal flow is quiet, you'll pick up core AppSec project work; when it's active, M&A is your priority.
We're upfront that the center of gravity here is M&A rather than core product security. It's burstier, more assessment-heavy, and operates on confidential, time-sensitive work. If you like parachuting into an unfamiliar codebase under time pressure and turning it into a clear risk picture for leadership, this is that job.
Key responsibilities
Lead pre-close security due diligence on prospective acquisitions — coordinate external penetration testing, threat-model the target's architecture, assess security controls, and deliver the security risk readout for leadership ahead of close and integration planning
Drive post-close security integration — stand up static and dynamic analysis coverage on acquired codebases, track high- and critical-severity remediation to closure, fold acquired assets into bug bounty scope, and onboard repositories to Anthropic's automated vulnerability remediation and reporting systems
Coordinate adjacent security engineering teams (supply chain, cloud, corporate security, detection & response) on their portions of each integration
Work across a wide set of stakeholders on every deal — corporate development, legal, security leadership, and the engineering teams inheriting acquired systems internally; engineering and security counterparts at the target company externally — translating between them and keeping the security workstream legible to all of them
Formalize and scale Anthropic's M&A security playbook — risk-scoring model, diligence runbook, integration checklist — and turn as much of it as possible into Claude-powered tooling rather than manual process
Share the team's operational on-run rotation (bug bounty escalations, launch consults, incident response), swapping out during periods of active deal work
Contribute to core AppSec projects between deals — secure design reviews, threat modeling for agentic systems, and the team's security automation roadmap
Minimum qualifications
Hands-on application and infrastructure security experience, including cloud and containerized environments
Demonstrated ability to rapidly assess an unfamiliar codebase or architecture and produce a clear, prioritized risk assessment for a non-security audience
Production-quality coding ability in at least one of Python, Go, Rust, or TypeScript
Practical threat-modeling and vulnerability-identification skills — you've found and reasoned about real bugs in real systems
Comfort operating with high autonomy, ambiguity, and tightly-held confidential context
Clear written and verbal communication across varied audiences — executives, legal and corporate development partners, and engineering counterparts at an acquired company
Preferred qualifications
7+ years in application security, security consulting, or security architecture
Prior M&A security due diligence, third-party security assessment, or technical due diligence experience
Experience standing up or scaling SAST/DAST, bug bounty, or vulnerability management coverage across multiple codebases
Track record of building security automation or tooling rather than relying solely on manual review
Familiarity with using LLMs as a core part of your security workflow
Experience securing agentic, code-execution, or LLM-integrated systems
Representative projects
Point Anthropic's internal LLM-driven code analysis and AI-assisted scanning at an acquired repository nobody here has seen, and turn the output into a prioritized remediation plan in days rather than weeks
Design the risk-scoring framework Anthropic uses to compare security posture across acquisitions of different shapes and sizes
Build the automation that onboards an acquired codebase to Anthropic's vulnerability dashboard, dependency auto-patching, and bounty scope without a human running a checklist
Write the security risk memo for a live deal and present it to corporate development and security leadership
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: Lanham, MD
Position Objective:
Under general supervision, the Clinical Staff Pharmacist facilitates the safe, high quality, effective and economic use of drugs. This responsibility includes the accurate preparation and dispensing of pharmaceuticals according to established departmental policies and procedures.
Essential Job Duties:
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Partakes in a rotating staffing schedule, including day and evening shifts, weekend rotations, holidays, and overnight coverage based on departmental needs.
Verifies the accuracy of order entry by authorized prescribers in computerized patient medication profiles.
Reviews written medication orders or prescriptions to determine appropriate ingredients, strength, and dosage. Reviews medication orders for: potential allergies, drug/drug and food/drug interactions, route of administration, appropriate dose and potential for adverse drug reactions with other medications ordered.
Contacts the prescriber, as appropriate, to clarify orders and/or make recommendations concerning alternate therapies.
Provides drug information to patients, physicians, nurses, and other clinical staff where appropriate and upon request.
Supervises the daily operational duties in the dispensing area to which assigned, including assisting and assigning, closely monitoring and reviewing the work of Pharmacy Technicians, to assure accurate and timely delivery of medications.
Participates in patient care rounds and unit based services, which may include: medication reconciliation, promoting medication efficacy/safety/cost improvement initiatives, participation in unit process improvement activities, and patient education & follow-up as appropriate.
Participates in improvements in interdepartmental policies and procedures which support the Pharmacy Department and Hospitals strategic goals. Maintains accurate records as required by departmental policies and procedures and/or federal and state board regulations.
Completes all core competencies and documents clinical activities accurately and according to policies and procedures. Supports the Investigational Drug Service in the daily operations of the department.
Educates and supervises Pharmacy Technician in the preparation of intravenous admixture solutions and chemotherapeutic agents, using aseptic technique.
Completes formal in-service, formulary addition/deletion, assimilation of evidence-based protocol/order-set, medication safety related activities and/or targeted medication expense reductions.
Educational/Experience Requirements:
The minimum level of education and experience for this position includes:
Doctor of Pharmacy Degree or Bachelor of Science in Pharmacy with commensurate experience required.
At least 1 year of experience in an inpatient setting required.
PGY-1 residency or Board Certification preferred.
Required License/Certifications:
Current Maryland State License
Working Conditions, Equipment, Physical Demands:
Light work.
Exerting up to 20 pounds of force occasionally, and/or up to 10 pounds of force frequently, and/or a negligible amount of force constantly to move objects. If the use of arm and/or leg controls requires exertion of forces greater than that for sedentary work and the worker sits most of the time, the job is rated for light work.
There is a reasonable expectation that employees in this position will be exposed to blood-borne pathogens.
Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities or requirements.
Pay Range
$65
—
$75 USD
Luminis Health Benefits Overview:
• Medical, Dental, and Vision Insurance
• Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year)
• Paid Time Off
• Tuition Assistance Benefits
• Employee Referral Bonus Program
• Paid Holidays, Disability, and Life/AD&D for full-time employees
• Wellness Programs
• Employee Assistance Programs and more
*Benefit offerings based on employment status
Opt-in for text notifications!
Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone.
To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time.
Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.
Location: Los Angeles, USA
At Riot, we are investing in League of Legends to grow the game for generations to come. As player needs become more varied and our experiences become more dynamic, machine learning is an increasingly important part of how we help players discover the right experiences, make better decisions in and around the game, and find fair, compelling matches.
As a
Staff Machine Learning Engineer
in League of Legends, you will build applied machine learning systems that directly improve player experience. You will work across player and product problems through data, modeling, experimentation, launch, and iteration, partnering closely with League product, design, Insights, game engineering, and service engineering teams. Your work could span across personalized player experiences, in-game systems, and matchmaking.
You will report to the Data Engineering Director in League of Legends and operate as a deeply embedded technical partner to the game team. You will also help strengthen craft standards, knowledge sharing, and technical quality across Riot’s growing ML engineering discipline.
Responsibilities:
Own end-to-end ML solutions for player-facing problems across personalization, game systems, and matchmaking, from problem framing through production launch and ongoing iteration.
Set technical direction for a League ML domain and create reusable modeling, evaluation, and operating patterns that raise the bar beyond your immediate team.
Build models, recommenders, ranking systems, and decision logic that help players discover the right champions, builds, modes, content, and return paths based on their needs and context.
Develop ML approaches that improve in-game systems and matchmaking quality, balancing player experience, fairness, reliability, and operational constraints.
Partner closely with product managers, designers, analysts, and engineers to shape ambiguous opportunities into clear technical plans and shipped player-facing features.
Translate gameplay, behavioral, and product telemetry into reliable signals and evaluation frameworks.
Design and run experiments to evaluate model quality, player impact, and system tradeoffs.
Work directly with game and service engineers to integrate models into League systems and services, including helping define instrumentation and telemetry when needed.
Operate independently across multiple partner groups, driving multi-month work with limited day-to-day oversight.
Contribute to the ML engineering community at Riot through peer reviews, documentation, craft standards, and shared learnings.
Help establish robust monitoring, observability, and support practices for live ML systems as they scale.
Required Qualifications:
Bachelor’s degree or higher in Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent practical experience.
6+ years of experience delivering ML systems in production, including 3+ years in applied modeling or ML research roles.
Evidence that your modeling choices have been adopted beyond your immediate team — whether through reusable patterns, shared architectures, or influence on how others approach problems.
History of working with complex or unconventional data sources where off-the-shelf feature engineering doesn’t apply.
Experience in production environments with interacting models, feedback loops, or systems where model behavior has downstream consequences beyond a single prediction.
Comfort with ambiguity — you’ve shipped in situations where the success metric, the right approach, or both were unclear at the start.
Track record mentoring engineers across roles and levels; evidence of raising the bar for people around you.
Excellent written and verbal communication.
Background in reinforcement learning, imitation learning, generative models, or simulation-based training in interactive environments is a plus.
Experience bridging research and production — translating papers or prototypes into reliable shipped systems — is a plus.
Familiarity with ML platform components (model serving, feature stores, ML observability) is a plus.
Passion for player experience, games, or creative technology.
Desired Qualifications:
Experience building ML systems for games, live service products, consumer personalization, or other player-facing digital products.
Experience with matchmaking, recommendations, multi-objective optimization, or other systems that must balance competing goals.
Familiarity with causal inference, uplift modeling, contextual bandits, reinforcement learning, or other approaches useful for adaptive player experiences.
Experience integrating models into latency-sensitive or high-reliability production environments.
Experience defining telemetry or instrumentation needs in close partnership with software engineers.
Familiarity with responsible AI practices, including fairness, safety, transparency, and operational trustworthiness.
Comfort collaborating across a central craft organization and an embedded product team model.
For this role, you’ll find success through:
Strong applied ML craft
Independent execution in ambiguous spaces
Thoughtful collaboration with product, design, engineering, and Insights partners
Decision-making that prioritizes player value and long-term system health
For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!
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; Seattle; New York City
ABOUT THE ROLE
The Enterprise AI Products team builds products that make AI part of how teams work together, not just a tool people use on their own. We bring Perplexity Computer into Slack, Microsoft Teams, Microsoft Office, and MCP server with helping teams collaborate with agents and automate work across conversations, documents, and business systems. That includes workflows that start from a message or business event, carry out multiple steps, and bring people in for decisions and approvals.
You’ll build new products from the ground up, working directly with customers to understand their problems and shape what we build next. You’ll combine applied AI engineering with product judgment, moving quickly from prototypes to reliable products that solve recurring problems across many organizations. Ownership extends beyond launch: you’ll use customer feedback and product experiments to improve the experience, grow adoption, and make Computer something teams depend on in their daily work.
KEY RESPONSIBILITIES
- Design and build AI-powered experiences in Slack, Microsoft Teams, Microsoft Office, and the MCP server bringing Computer into the tools where teams communicate, create, and coordinate work.
- Build workflow and automation products that let teams delegate recurring, multi-step tasks to agents, including scheduled and event-triggered execution, human approvals, and visibility into progress and results.
- Build shared agent experiences that let teams delegate work, review results, and build on each other’s workflows, with clear ownership and handoffs between people and agents.
- Work directly with customers and internal teams to identify high-impact problems, validate ideas through rapid prototyping, and turn successful use cases into scalable, reusable products.
- Own products end to end, from problem definition and technical design through full-stack implementation, launch, and production reliability.
- Measure and improve activation, repeat usage, and workflow completion, using customer feedback and product experiments to drive sustained AI adoption.
- Partner with Product, Design, Sales, and engineering teams to turn customer needs and emerging AI capabilities into reliable product experiences.
QUALIFICATIONS
- 4+ years of software engineering experience, with a track record of building and shipping production products end to end.
- Hands-on experience shipping applications with LLMs or AI agents, with good judgment about their capabilities and limitations and experience improving product quality through evaluation and user feedback.
- Strong software engineering and system design skills, with proficiency in Python or Go and the ability to work across backend services and user-facing applications.
- Strong product judgment and the ability to translate ambiguous customer needs into simple, effective product experiences for users with different levels of technical expertise.
- Comfort working directly with customers, moving quickly between discovery and implementation, and owning problems without a fully defined specification.
- Experience with enterprise, growth, or collaboration products is a plus.
If you're excited about this role, we encourage you to apply even if your experience doesn't match every qualification listed above.
Location: San Francisco; Seattle; New York City
ABOUT THE ROLE
The Enterprise AI Products team builds products that make AI part of how teams work together, not just a tool people use on their own. We bring Perplexity Computer into Slack, Microsoft Teams, Microsoft Office, and MCP server with helping teams collaborate with agents and automate work across conversations, documents, and business systems. That includes workflows that start from a message or business event, carry out multiple steps, and bring people in for decisions and approvals.
You’ll build new products from the ground up, working directly with customers to understand their problems and shape what we build next. You’ll combine applied AI engineering with product judgment, moving quickly from prototypes to reliable products that solve recurring problems across many organizations. Ownership extends beyond launch: you’ll use customer feedback and product experiments to improve the experience, grow adoption, and make Computer something teams depend on in their daily work.
KEY RESPONSIBILITIES
- Design and build AI-powered experiences in Slack, Microsoft Teams, Microsoft Office, and the MCP server bringing Computer into the tools where teams communicate, create, and coordinate work.
- Build workflow and automation products that let teams delegate recurring, multi-step tasks to agents, including scheduled and event-triggered execution, human approvals, and visibility into progress and results.
- Build shared agent experiences that let teams delegate work, review results, and build on each other’s workflows, with clear ownership and handoffs between people and agents.
- Work directly with customers and internal teams to identify high-impact problems, validate ideas through rapid prototyping, and turn successful use cases into scalable, reusable products.
- Own products end to end, from problem definition and technical design through full-stack implementation, launch, and production reliability.
- Measure and improve activation, repeat usage, and workflow completion, using customer feedback and product experiments to drive sustained AI adoption.
- Partner with Product, Design, Sales, and engineering teams to turn customer needs and emerging AI capabilities into reliable product experiences.
QUALIFICATIONS
- 4+ years of software engineering experience, with a track record of building and shipping production products end to end.
- Hands-on experience shipping applications with LLMs or AI agents, with good judgment about their capabilities and limitations and experience improving product quality through evaluation and user feedback.
- Strong software engineering and system design skills, with proficiency in Python or Go and the ability to work across backend services and user-facing applications.
- Strong product judgment and the ability to translate ambiguous customer needs into simple, effective product experiences for users with different levels of technical expertise.
- Comfort working directly with customers, moving quickly between discovery and implementation, and owning problems without a fully defined specification.
- Experience with enterprise, growth, or collaboration products is a plus.
If you're excited about this role, we encourage you to apply even if your experience doesn't match every qualification listed above.
Location: San Francisco
Description
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Integrations team builds the systems and products that let Perplexity connect to user data and workflows across multiple verticals, turning connected data into reliable, AI-powered experiences people use every day.
As an engineer on the Integrations team at Perplexity, you’ll define the technical direction of products that connect Perplexity to workflows across multiple verticals and work full-stack to build these applied AI systems. You’ll move quickly, owning outcomes end-to-end, and building useful products people reach for every day.
Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Eppo | AWS
Why Perplexity is different
- Craftsmanship. We build high-quality, tasteful products targeting both the AI-native and AI-curious.
- Ownership. You identify the problem, design the solution and ship it.
- Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
- Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
- Partnership. We amplify each other’s strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
What you'll do
- Build agentic apps, features, and workflows that make Perplexity a daily driver for users.
- Lead vertical-specific products and AI-powered experiences like a Personal CFO and Email Assistant, turning connected data into reliable, high-impact tools people want to use every day.
- Own the data backbone of pipelines, infrastructure, and connectors that bring user and enterprise data to agents and products at a 99.9% reliability bar.
- Drive end-to-end projects across the full stack, running experiments in parallel and hill-climbing on adoption, retention, and revenue.
- Set technical direction, mentor engineers, and partner with AI, Design, Data Science, and Infra to ship products that don't exist anywhere else.
Qualifications
- 6+ years of professional software engineering experience, with a track record of rapidly shipping complex products end-to-end.
- Demonstrated technical leadership: you've owned large, ambiguous projects, set direction, and driven them to clear outcomes.
- Strong execution: you ship many products and experiments in parallel and drive each to a measurable result.
- Strong product judgment; you translate user behavior and product opportunities into simple, effective technical solutions.
- An "extra zero" mindset: you aim for outcomes that are 10x, not 10%, and own the result end-to-end.
- Self-motivated with strong ownership instincts; you propose ideas, ship features ahead of schedule, and drive improvements without asking for permission.
- Experience mentoring engineers and raising the technical bar of a team.
- Genuine interest in and adoption of AI products and willingness to learn quickly.
Nice to have
- Domain expertise in verticals such as finance, healthcare, legal, or operations.
- Experience building agentic product surfaces.
- Time at a fast-growing startup or high-ownership engineering team.
Location: San Francisco
Description
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Integrations team builds the systems and products that let Perplexity connect to user data and workflows across multiple verticals, turning connected data into reliable, AI-powered experiences people use every day.
As an engineer on the Integrations team at Perplexity, you’ll define the technical direction of products that connect Perplexity to workflows across multiple verticals and work full-stack to build these applied AI systems. You’ll move quickly, owning outcomes end-to-end, and building useful products people reach for every day.
Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Eppo | AWS
Why Perplexity is different
- Craftsmanship. We build high-quality, tasteful products targeting both the AI-native and AI-curious.
- Ownership. You identify the problem, design the solution and ship it.
- Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
- Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
- Partnership. We amplify each other’s strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
What you'll do
- Build agentic apps, features, and workflows that make Perplexity a daily driver for users.
- Lead vertical-specific products and AI-powered experiences like a Personal CFO and Email Assistant, turning connected data into reliable, high-impact tools people want to use every day.
- Own the data backbone of pipelines, infrastructure, and connectors that bring user and enterprise data to agents and products at a 99.9% reliability bar.
- Drive end-to-end projects across the full stack, running experiments in parallel and hill-climbing on adoption, retention, and revenue.
- Set technical direction, mentor engineers, and partner with AI, Design, Data Science, and Infra to ship products that don't exist anywhere else.
Qualifications
- 6+ years of professional software engineering experience, with a track record of rapidly shipping complex products end-to-end.
- Demonstrated technical leadership: you've owned large, ambiguous projects, set direction, and driven them to clear outcomes.
- Strong execution: you ship many products and experiments in parallel and drive each to a measurable result.
- Strong product judgment; you translate user behavior and product opportunities into simple, effective technical solutions.
- An "extra zero" mindset: you aim for outcomes that are 10x, not 10%, and own the result end-to-end.
- Self-motivated with strong ownership instincts; you propose ideas, ship features ahead of schedule, and drive improvements without asking for permission.
- Experience mentoring engineers and raising the technical bar of a team.
- Genuine interest in and adoption of AI products and willingness to learn quickly.
Nice to have
- Domain expertise in verticals such as finance, healthcare, legal, or operations.
- Experience building agentic product surfaces.
- Time at a fast-growing startup or high-ownership engineering team.
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 Locations: Austin, TX | New York, NY | San Francisco, CA or London, UK (Hybrid)
About the Role
You’ll help define how machine learning models run across Cloudflare’s global network, from frontier open LLMs and real-time voice models to customer-deployed models served on heterogeneous GPUs and next-generation accelerators. You’ll work with systems engineers, product teams, hardware partners, and AI/ML engineers to bring models into production with low latency, strong reliability, and efficient resource use. This role combines applied ML, inference optimization, evaluation, and production engineering, with a focus on benchmarking models, improving serving performance, validating quality, and building tooling that helps Cloudflare and its customers ship AI applications at Internet scale.
Responsibilities
Develop, optimize, and productionize machine learning models for Cloudflare’s serverless inference platform, with a focus on performance, reliability, and model quality.
Build benchmarking and evaluation frameworks to measure latency, throughput, cost efficiency, and model behavior across LLMs, speech, vision, and other model families.
Improve inference performance through quantization, batching, caching, model compilation, runtime tuning, and accelerator-aware optimization.
Partner with systems engineers to integrate models into Cloudflare’s distributed inference infrastructure across a heterogeneous fleet of GPUs and next-generation accelerators.
Drive improvements to model deployment workflows, including validation, rollout safety, observability, regression testing, and operational readiness.
Collaborate with product and engineering teams to translate customer requirements into scalable ML capabilities for Workers AI.
Mentor engineers, contribute to technical direction, and raise the quality bar for production ML engineering practices across the team.
Desirable Skills, Knowledge, and Experience
Experience building, optimizing, and operating machine learning models in production environments.
Strong proficiency with Python and modern ML frameworks such as PyTorch, TensorFlow, JAX, or equivalent.
Hands-on experience with inference optimization techniques for large-scale models, including quantization, batching, caching, compilation, and serving runtime tuning.
Experience with large-scale inference serving frameworks or runtimes such as SGLang, vLLM, TensorRT-LLM, ONNX Runtime, Triton, llama.cpp, or similar.
Familiarity with LLMs, speech models, vision models, embeddings, multimodal models, retrieval-augmented generation, or other modern deep learning architectures.
Experience optimizing models for GPUs or specialized accelerators.
Strong understanding of production ML concerns, including evaluation, monitoring, model regressions, rollout safety, and reliability.
Ability to work across ML and systems boundaries, including familiarity with distributed systems, networking, or serverless platforms.
Track record of leading complex technical projects and mentoring other engineers.
Bonus Points
Experience contributing to open source ML tooling, model serving frameworks, or inference runtimes.
Compensation
Compensation may be adjusted depending on work location.
F
or Bay Area based hires: Estimated annual salary of $194,000 - $266,000
For New York City, New Jersey, Washington, Washington DC, and California (excluding Bay Area) based hires: Estimated annual salary of $185,000 - $254,000
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
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: United States (Remote);
At Signifyd, we help merchants confidently grow their businesses by building trusted relationships with their customers. Our advanced technology, combined with a team genuinely invested in our clients’ success, creates frictionless shopping experiences, approving more good orders, protecting revenue, and keeping customers happy.
Trusted by thousands of leading merchants across more than 100 countries, we securely process billions of transactions each year. Our people are the heart of everything we do, driving our mission forward with commitment, empathy, and creativity. Join us on our mission to empower confident, fraud-free commerce by helping online retailers provide superior customer experiences and eliminate fraud. Learn about our company values
here
!
Department: Engineering
The Engineering organization at Signifyd is at the forefront of building solutions that protect and empower global commerce. We pride ourselves on delivering highly scalable, robust systems that evolve with our customers' needs, from emerging startups to enterprise-level organizations processing millions of transactions. Our engineers thrive in an innovative environment where rapid iteration and continuous learning drive our success. We embrace modern development practices, leverage cloud-native technologies, and maintain a customer-obsessed mindset to ensure our solutions anticipate tomorrow's challenges. Strong partnerships with Product and Data Science ensure every technical decision is aligned with delivering maximum value and driving meaningful business outcomes.
The Role
We are looking for a staff back-end engineer to set the technical direction for the platform retailers use to integrate with Signifyd. As a member of the Integrations & Onboarding team, you will own the architecture and long-term health of our public-facing API platform and ingestion services, defining both what we build and how we build it. This role suits an engineer who is drawn to open-ended problems spanning several teams, who can turn a complicated problem space into simple and durable foundations, and whose influence shows up in other teams' roadmaps as much as in their own systems.
Responsibilities
Define and deliver the multi-year technical vision for our integration and ingestion platform across multiple teams and competing constraints.
Make the architecture-level technology calls, including build-versus-buy decisions and framework selection, and own the tradeoffs behind them.
Own the overall health and engineering quality of the platform: drive health reviews, curate testing strategy, and ensure the systems stay maintainable by engineers with varying levels of expertise.
Design systems under significant ambiguity, particularly those that many other systems depend on.
Partner with product management, data engineering, and other engineering teams, influencing their roadmaps where a shared solution serves the business better than a locally optimal one.
Raise the technical bar across related areas through design and code review, with particular attention to cross-team interfaces and API quality.
Proactively identify areas of technical debt and drive the strategy for addressing them.
Serve as a role model and mentor for engineers across the organization, and champion responsible adoption of AI development tools.
Requirements
Bachelor's degree or equivalent practical experience.
Significant experience in software development with modern programming languages, experience programming in a functional style.
Track record of setting technical direction across multiple teams, and of carrying large, ambiguous initiatives through to completion.
Depth in a platform or product domain that translated into distinctive business value, rather than breadth alone.
Strong software design and architecture skills, including reducing complex problems to simple foundational components and designing interfaces that are difficult to misuse.
Experience owning the long-term health of a significant system: testing strategy, operability, and reducing key-person dependency.
Experience building distributed systems or public-facing/platform APIs at scale.
Experience with cloud platforms such as AWS or GCP.
Ability to influence without authority, and to communicate effectively with engineers and non-engineers alike.
You use modern AI development tools fluently and help others do the same, championing responsible adoption while holding the line on quality. This means practical experience with AI coding assistants, understanding how to provide effective context, critically evaluating generated code for correctness, security, and maintainability, and coaching others toward the same standard.
Our Stack
Java, SQL, gRPC, HTTP/REST
Kubernetes, Docker, Linux
Cassandra, Pub/Sub, Bigtable, Databricks
GCP, AWS
#LI-Remote
Benefits in our US offices:
Discretionary Time Off Policy (Unlimited!)
401K Match
Stock Options
Annual Performance Bonus or Commissions
Paid Parental Leave (12 weeks)
On-Demand Therapy for all employees & their dependents
Dedicated learning budget through Learnerbly
Health Insurance
Dental Insurance
Vision Insurance
Flexible Spending Account (FSA)
Short Term and Long Term Disability Insurance
Life Insurance
Company Social Events
Signifyd Swag
Compensation:
In the United States, each work location is assigned a specific pay zone, which determines the salary range for a given position. The starting base salary for the selected candidate will be based on a variety of factors, including job-related skills, experience, qualifications, geographic location, and current market conditions.
Base Salary Ranges by Pay Zone:
Tier 1 (NYC/SF Bay Area/Seattle): $200,000 - 225,000 annually
Tier 2 (DC Metro/Austin/Chicago/Denver/Boston/Los Angeles/San Diego): $195,000- $220,000 annually
Tier 3 (US - All Other): $190,000- $215,000 annually
Equity:
This role is eligible for a stock option grant of 6000 stock options, based on the position level and internal compensation guidelines.
Bonus:
This role is eligible for an annual performance bonus of up to 10% of base salary.
We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the
hiring
process.
Signifyd's Applicant Privacy Notice
Location: Sydney, Australia
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Staff Engineer on the Datacenter Server Lifecycle team, you will own the end-to-end operational journey of every machine in our datacenters – from initial provisioning and deployment, steady-state operation, maintenance, and repair.
This is greenfield work: you will help define the services, tooling, standards and processes that govern how we operate critical hardware at scale, powering frontier model development and serving. You will have the opportunity to define AI-native workflows for datacenter operations and to help drive innovations on efficiency, performance, and reliability.
A distinguishing aspect of this role is its deep intersection with security. The machines in our datacenter handle some of the most sensitive workloads in AI – training frontier models and serving millions of users interacting with Claude. Ensuring that every machine in the fleet is trusted, attested, and operating with a verified chain of integrity from the hardware up is a core part of the job, not an afterthought. You will partner closely with our Infrastructure Security team to define and enforce trusted compute standards across the lifecycle, from secure provisioning through end-of-life handling.
Key responsibilities
Build automation to support datacenter fleets at scale.
Define and own the end-to-end system lifecycle strategy – from provisioning and deployment through operation, maintenance, refresh, and decommissioning – and maintain automation and operational procedures for common lifecycle events (e.g., hardware failures, firmware upgrades, fleet rotations).
Partner closely with Infrastructure Security to design and enforce trusted compute standards across the server lifecycle.
Work closely with our Networking team to ensure end-to-end connectivity across all sites.
Build and maintain tooling to track machine health, configuration, and operational status across the full datacenter fleet.
Minimum qualifications
Hands-on experience with server hardware, including rack deployment, cabling, troubleshooting, and understanding failure modes at scale.
End-to-end understanding of hardware lifecycle management: asset tracking, provisioning workflows, maintenance scheduling, and decommissioning practices.
Proficiency in at least one programming language (e.g., Python, Rust, Go, or Java).
Working knowledge of modern cloud infrastructure, including Kubernetes and large scale cloud providers (e.g. AWS, Azure, GCP).
Ability to communicate clearly and build consensus with a wide range of stakeholders.
Comfort navigating ambiguity and making progress on complex, cross-functional problems.
Preferred qualifications
8+ years of experience in datacenter infrastructure management, or a closely related discipline.
Hands-on experience with GPU or AI accelerator hardware (e.g., NVIDIA A100/H100, Google TPUs, or AWS Trainium) and an understanding of their operational demands.
Familiarity with modern provisioning and OS tooling such as LinuxBoot and NixOS
Experience building or contributing to datacenter automation or fleet management platforms.
Experience building and deploying server operating system distributions across large server fleets.
Background in large-scale capacity planning and hardware refresh strategy, ideally at a hyperscaler or large cloud provider.
Experience with trusted compute and hardware security concepts such as secure boot, TPM, hardware attestation, and firmware verification — or a strong desire to develop deep expertise in this area.
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: Remote - APAC
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure
for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
Your Role:
As a Staff Engineer, we want you to be responsible for designing, implementing, and maintaining the systems and services that form Alpaca's foundation and empower millions of users who trade billions of dollars worth of assets. We will look to you to contribute to regional recruitment initiatives, help drive cross-functional team projects, mentor teammates with respect to our engineering principles and practices, and foster Alpaca culture in the Japan region. We expect you to participate in operational reliability engineering during regional business hours, helping to ensure proactive 24x7 stability of our platform.
For this role, we are seeking an experienced backend engineer who is dedicated to delivering seamless and high-quality software solutions. The ideal candidate has a proven track record of designing and building scalable applications, is comfortable challenging conventions and advocating for innovative solutions, and can bridge engineering work with Japan-specific regulatory, vendor, and partner requirements. In this position, we would like you to have the autonomy to architect and implement solutions that meet our strategic objectives while also actively contributing to the goal-setting process alongside a collaborative, cross-functional team.
Things You Get To Do:
Design highly scalable, mission-critical brokerage systems for the Japan market.
Develop and enhance the middle- and back-office systems, including gRPC microservices, REST and gRPC APIs, and third-party vendor integrations specific to the Japan market (e.g.
JPX
,
JSCC
,
JASDEC
, banks, identity verification vendors).
Work closely with Alpaca's core teams to enhance and transform the core framework, enabling support for multiple languages, currencies, and markets, with a particular focus on Japan-specific requirements such as
NISA
, MyNumber, withholding tax, and JP-GAAP accounting.
Collaborate with tech leads in other regions both synchronously and asynchronously, primarily through Slack and meetings, to align with global teams.
Coordinate with local regulators, vendors, partners, and business stakeholders, and translate those requirements into technical specifications for the global engineering team.
Troubleshoot incidents and reported bugs to maintain system integrity and performance.
Participate in on-call rotations and assist with timely engineering projects and production issues during Japan business hours.
Thrive in a global environment, effectively navigating regulatory requirements and building scalable solutions to support Alpaca's expansion in Japan.
Who You Are (Must-Haves):
Business-level English fluency, with the ability to collaborate effectively in English-only team meetings, design discussions, code reviews, and written documentation.
Proven experience in designing and developing complex financial systems, preferably including double-entry accounting.
Strong understanding of accounting principles, ledger structures, and transaction reconciliation.
Experience in building scalable, high-availability financial applications that handle multi-currency transactions.
Familiarity with regulatory compliance requirements in financial markets, with a preference for experience in Japan (
FIEA
,
FSA
,
JSDA
,
JIPF
, or related frameworks).
Proficiency in at least one statically typed language (e.g. Go, Rust, Java, Kotlin, C#, Scala, or C++), with expertise in designing robust and efficient system architectures.
Experience working with financial APIs, market data integrations, and trade settlement processes.
Strong communication skills to collaborate effectively with global teams, local regulators, vendors, and internal stakeholders, bridging Japanese and English contexts.
Strong computer science fundamentals and proven software engineering architecture experience.
Ability to work independently in a fully remote, globally distributed team, and under pressure in a fast-paced environment.
Strategic thinking and the ability to translate technical concepts into business strategies.
Experience with domain-driven design and event-driven design.
Strong problem-solving skills paired with a proactive mindset.
Ability to lead and troubleshoot incidents or bugs with authority during Japan business hours.
Who You Might Be (Nice-To-Haves):
Business level and above in Japanese, with the ability to read, write, and communicate professionally with local regulators, vendors, and partners
Experience in the Japanese financial services sector (securities firms, banks, brokerages, or fintech).
Hands-on experience integrating with Japan market infrastructure such as
JPX
(
TSE
/
OSE
),
JSCC
,
JASDEC
, or major Japanese banks.
Experience with Japan-specific products such as
NISA
, iDeCo, tokutei-koza, or MyNumber handling.
Experience working in a startup or fast-growing technology company.
Knowledge of emerging technologies.
Experience or passion for financial markets.
Experience managing vendors and organizational budgeting.
Experience working with global, English-speaking teams across multiple time zones.
How We Take Care of You:
Competitive Salary & Stock Options
Health Benefits
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
Recruitment Privacy Policy
Location: Remote, US
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
We are seeking a Staff Product Manager to serve as an internal PM embedded within this team. This is not a traditional external-facing product role—it is an internal platform product leadership position. You will own the roadmap for our enterprise systems, act as the strategic voice of the business within engineering, and bring senior product craft to a team of Analysts and engineers who build and operate GitLab's revenue infrastructure.
This role is ideal for a seasoned product leader who has deep Quote-to-Cash or Finance domain knowledge, thrives at the intersection of business strategy and technical execution, and is energized by mentoring high-performing teams through complex, multi-program environments.
What You’ll Do
Internal Product Roadmap Ownership
Define, own, and maintain the multi-quarter internal product roadmap for QTC and Finance Systems, covering Salesforce CPQ, Zuora Billing, Zuora Revenue, NetSuite, and the CDot metering platform.
Translate business strategy from Finance, Revenue Operations, Deal Desk, and Sales into sequenced, prioritized system capabilities with clear outcomes and success metrics.
Balance competing program demands—stabilization, net-new capability delivery, and technical debt reduction—with transparent trade-off frameworks.
Drive quarterly and annual planning ceremonies, partnering with Engineering Managers and Business Systems Analysts to align capacity with roadmap commitments.
Stakeholder Partnership & Requirements Translation
Serve as the primary internal product voice for all QTC and Finance Systems initiatives, partnering closely with Finance, Accounting, Revenue Operations, Deal Desk, and Legal.
Lead discovery, requirements workshops, and business process design sessions to translate complex financial and commercial requirements into actionable system specifications.
Own the decision layer between "what the business needs" and "what engineering builds," resolving ambiguity with structured frameworks and documented decisions.
Navigate cross-functional stakeholder dynamics including SOX compliance, audit controls, and revenue recognition governance (ASC 606/IFRS 15).
Team Mentorship & Capability Building
Act as a product craft mentor and senior thought partner for the BSA team, actively upskilling analysts in product thinking, requirements structuring, acceptance criteria definition, and roadmap communication.
Model and instill product management best practices—user story writing, prioritization frameworks (e.g., RICE, MoSCoW), sprint review discipline, and outcome tracking—across the team.
Partner with leadership to evolve the operating model of the team from project-execution-focused to product-thinking-led, raising the bar for how ETA delivers business value.
Provide structured feedback and growth coaching to BSAs on career development, helping analysts grow toward senior and lead levels.
Program Strategy & Delivery Oversight
Lead product strategy for major multi-quarter programs (e.g., consumption-based billing iterations, CLM/Order Forms, Zuora Product Catalog refactors, ERP optimization) from discovery through go-live.
Define and maintain program-level dependency maps across concurrent workstreams, surfacing risks early and driving cross-team resolution.
Own UAT strategy and acceptance criteria in collaboration with BSAs, ensuring system changes meet business requirements before production release.
Support post-launch stabilization and continuous improvement cycles, prioritizing defect resolution and incremental enhancements based on business impact.
Systems Architecture Collaboration
Partner with Enterprise Architects and Engineering Managers to evaluate build-vs-buy-vs-configure decisions for new capabilities.
Bring informed opinions on QTC platform architecture trade-offs (e.g., billing model design, middleware integration patterns, revenue recognition rule configuration) based on deep domain knowledge.
Stay current on platform roadmaps for Salesforce, Zuora, and NetSuite, identifying opportunities to leverage native capabilities before custom builds.
What You’ll Bring
8+ years of product management experience, with at least 3 years in an internal platform PM, enterprise applications PM, or systems product leadership role.
Deep domain expertise in Quote-to-Cash systems: Salesforce CPQ, Zuora Billing, Zuora Revenue, and NetSuite ERP are the core stack—hands-on configuration or implementation experience strongly preferred.
Demonstrated ability to own and communicate multi-quarter internal product roadmaps to senior business and technology stakeholders.
Strong command of revenue lifecycle processes: opportunity-to-quote, order management, billing and collections, revenue recognition (ASC 606), and financial close.
Experience operating in a SOX-controlled environment with an understanding of audit trails, approval workflows, and change management requirements for financial systems.
Track record of successfully running complex, multi-program delivery environments with competing priorities and shared engineering resources.
Sufficient technical fluency to engage meaningfully with engineering on API design, data model decisions, and integration trade-offs—without needing to write code.
Experience with consumption-based or usage-based billing models
About the team
You'll be joining the Revenue Lifecycle & Finance Systems team within GitLab's Enterprise Technology Architecture organization. Our team is responsible for the systems and processes that power GitLab's entire revenue lifecycle—from configure-price-quote through contract execution, billing, revenue recognition, and financial close.
We are in an exciting and demanding phase: transitioning GitLab's go-to-market from a pure subscription model toward consumption-based offerings while simultaneously modernizing our core platforms. This role will be central to shaping how that evolution happens—and how the team grows in capability and product maturity alongside it.
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
$168,000
—
$235,600 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Remote Poland, Poland
Workplace: remote
WELCOME TO OLX
We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible.
We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust.
Our brands – including AutoTrader, OLX, Otomoto Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.
Join OLX and see how far you can go.
Join Our Team as an AI-native Staff Backend Engineer!
Join one of our cross-functional teams in Motors, Real Estate, OLX Classifieds, or Platforms, working remotely from Poland.
Are you someone who is craving scalable problems and dealing with optimizations?
You'll work with a creative, critical, and well-organized team from the comfort of your house, but as close as we have ever been!
You will play a key role in enabling our organisation to scale efficiently.
Who we are looking for:
You can use agentic workflows (Claude Code, Cursor Agent, or equivalent) as your default, not as a novelty.
You practice context engineering, not just prompt engineering; you design the full information architecture an AI agent needs to succeed: repo structure, CLAUDE.md / AGENTS.md configs, relevant code context, memory, and tool access.
You understand model routing trade-offs (e.g., when to use Haiku vs. Sonnet vs. Opus) and multi-agent orchestration.
Strong ownership instinct: AI output is a first draft, not a deliverable; you validate, refactor, and take full accountability.
You have strong Coding and Computer Science Fundamentals. Roughly ⅔ of your time will be hands-on technical work: designing solutions, steering and reviewing AI-generated code, developing new ideas, and reviewing others' contributions. The rest goes to cross-team influence, mentoring, and strategic alignment.
Strong background experience in Golang, Java/Kotlin (preferred technologies), and able to work with PHP. Flexible and capable of adjusting to changing project requirements, roles, and backend technologies as needed.
Scalable Systems Expertise. Experience with large-scale web applications, an economic-thinking mindset, and being able to design well-bounded future-proof domain systems, aligned with the business objectives.
Deep expertise in scalable distributed systems, CI/CD, RESTful and GraphQL APIs, AWS, and relational + NoSQL databases.
Big-picture thinker: aligns technical decisions with business strategy, influences without authority.
Clear communicator in English across engineering, product, and leadership audiences.
Self-starter who identifies what needs doing and takes initiative without waiting to be asked.
Skilled Technical Leader and Mentor: Guide and support engineers by setting a strong example. As a Staff Engineer, you are a role model, leading by example and through your expertise.
What you will be doing:
Architect context pipelines for AI agents: curate what enters the context window (repo boundaries, domain knowledge, test outputs, CI feedback) so agents produce reliable, mergeable code, not just plausible code.
Prepare task specifications that are agent-actionable (clear acceptance criteria, referenced modules, explicit constraints)
Design and maintain agent-ready systems: well-bounded repos, comprehensive test suites as guardrails, CI/CD pipelines with structured output agents can parse and act on.
Serve as an AI Champion: join and strengthen our growing AI Champion community, contribute to workshops, curate effective agentic workflows, and mentor engineers on AI-assisted practices. Contribute to org-level AI tooling evaluations and OLX AI practices repositories.
Drive active migration from a legacy monolith to microservices, owning decisions on bounded domain decomposition. Working on making agentic workflows effective across a codebase whose boundaries are actively being redefined.
Set the bar for GraphQL API design, RESTful contracts, database schema, and CI/CD quality across the tribe.
Work with product and engineering leadership to identify high-value problems, propose initiatives, and drive impactful technical direction without direct authority
Guide senior engineers in managing and reducing technical debt with AI as an accelerator, not a shortcut.
Our Hiring Process:
Recruiter Screen
Management Capabilities
System Design
Live Coding
Our Benefits
Monthly salary and an annual bonus (20%)
Training and conference budget, and free access to Udemy courses
A benefits package with 500 points on the Mybenefit platform per month, private medical care provided by Luxmed, Ask Henry services, and much more
IP rights’ costs - 80%
100% remote work (as well as the possibility of working from our offices in Poznan and Warsaw)
If you think this is the role for you, send your application in English and let’s talk!
If you'd like to learn more about us take a look around our careers page and the OLX Group website. Follow us on Linkedin and check out our OLX Group Engineering Blog and Twitter Tech.
Diversity, Equity and Inclusion at OLX
OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!
OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
Reddit is a platform that both celebrates and benefits from our users’ creativity. Tens of thousands of external developers are already building apps on our platform, but we can do so much more.
We are seeking a Staff Backend Engineer with a unique blend of skills and a wealth of experience to contribute to our innovative endeavors. In this pivotal role, you will be instrumental in developing and maintaining our cutting-edge backend for the developer platform. You'll collaborate with colleagues from various backgrounds and specialties, harnessing our collective strengths to design and implement scalable and efficient solutions tailored to our business's multifaceted needs. If you're passionate about making a significant impact and thrive in a fast-paced and highly collaborative environment, then we're excited to welcome you to our team!
What You’ll Be Working On
Building a platform that is highly available, extremely reliable, low on latency, and at internet scale.
Creating and driving our Storage as a service strategy.
Building the technical foundation for future features and experiences.
Creating a collaborative and supportive team with a strong sense of ownership.
Who You Might Be
7+ years of industry experience in backend, infrastructure, developer tools, or app platforms.
Technical leader in the execution of large scale projects as well as day-to-day troubleshooting.
Go, Typescript, Redis, distributed SQL, and Kubernetes experience.
Mentoring and coaching other engineers as well as leading by example strong software engineering best practices.
Passion for developing scalable, well-designed software that people love.
Entrepreneurial spirit. On our team, everyone needs to act like a startup CEO. You must be self-directed, innovative, and biased towards action in fast-paced environments. You live to build new things and thrive in ambiguity and even failure.
Excellent communication skills. You must be able to collaborate effectively with teams in a fully-remote environment, and discuss complex topics with technical and non-technical audiences.
Responsibilities:
Build and maintain the underlying infrastructure of the developer platform.
Build new features for external developers such as SQL db as a service.
Contribute to the entire development cycle: technical design, development, test, experimentation, analysis, and launch. You’ll be reviewing code and design docs, giving feedback on product specs and mocks.
Contribute meaningfully to team strategy. We give everyone a seat at the table and encourage active participation in planning for the future.
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$217,000
—
$303,000 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence.
We are looking for an experienced Technical Program Manager to join our Ads TPM team within the Tech PMO (Technical Program Management Office), supporting the Ads Product & Engineering organization. As a TPM, you will lead your team in driving cross-functional initiatives that span multiple technical teams. In this role, you’ll own and drive technical programs in the Ads Monetization engineering space, many of which will require you to work cross-functionally across multiple engineering teams at Reddit. You’ll partner with engineering leaders across the company to evaluate prioritization, tradeoffs and risks related to the programs you own.
Who we are:
The
Technical Program Management Office
(Tech PMO) exists to
accelerate
,
scale
,
and
empower
all teams at Reddit to do their best work and advance our company’s mission. We operate from within the office of the CTO, maximizing our ability to galvanize and drive technical programs and solutions to solve company-wide problems. We drive operational excellence within the organizations we partner with and our reach extends across the entire company.
At Reddit,
Technical Program Managers
use technical judgment to define and drive large programs across multiple engineering teams. They are a welcome partner to engineering leaders in project discussions impacting planning and execution. They engage with engineering staff in determining root causes, identifying and selecting alternative solutions, and using their technical expertise to understand the effects, impacts, and risks of a solution. Above and beyond program-level impact, they build execution processes and reduce inefficiencies to build overall scale.
What you’ll do:
High-quality technical program management is a distinct and high-value skillset, and while the roles generally don’t involve direct management, they are a part of the organizational leadership. In this role, you will:
Get Things Done
. More than just displaying activity, counting sprint points, or delivering regular updates. You actually bring projects to completion, deliver real accomplishments for the business, and help your teams understand the difference.
Dive into Details
. You understand the details of their projects and help guide them with and in active partnership with their teams. You don’t just stay in the stratosphere or in an abstract process. You have the technical judgment to act as a partner with your teams in planning and decision-making.
Make Work Repeatable
. You create and improve processes that smooth the path for others and prevent and remove recurring organizational toil (and the lower quality bar that often allows). You reuse processes developed elsewhere, and aid in the adoption of standards where relevant.
Mentor & Lead
. You are good at, and enjoy, informally aiding others in developing key organizational and project skills. You’re a leader within your projects and support people in the process.
Bring Order out of Chaos.
You are known for leaving a program and the teams you support in a position of stronger organization than where they started, and those teams continue to succeed even when you are no longer specifically engaged in the project.
What We Can Expect From You:
8+ years of collective experience in engineering and program management roles, with at least 4 years focused on digital ads platforms or ads monetization.
Strong communication and influencing skills.
A team player mentality with the ability to work collaboratively across all levels of the organization.
Proactive and curious by nature. You are creative and enjoy taking unique approaches to solve problems.
Pragmatic; you take an iterative approach to developing processes and systems
Technical depth and judgment.
Analytical problem-solving experience with large-scale systems.
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$194,600
—
$272,400 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
ОфисUK, London
San Francisco, CA | New York City, NY | Seattle, WA
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоRemote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
География найма не уточнена
Los Angeles, USA
San Francisco; Seattle; New York City
San Francisco; Seattle; New York City
San Francisco
San Francisco
География найма не уточнена
United States (Remote);; We are happy to provide reasonable accommodations to candidates in need of individualized support during the
Sydney, Australia
УдалённоExperience working with global, English-speaking teams across multiple time zones; Remote - APAC
УдалённоRemote, US; The base salary range for this role’s listed level is currently for residents of the United States only
УдалённоRemote Poland, Poland; OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply
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