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Location: Helsinki; Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile gaming industry. The Voodoo Ad-Network is an autonomous product group of around 60 highly driven professionals with an ambitious mission: building top-tier ad network services. Our primary goal is to leverage Voodoo's massive first-party data ecosystem to optimize and scale monetization. We are in a rapid growth phase, expanding into new ventures such as opening to external inventory, penetrating the external advertiser market, and driving social network monetization following our recent acquisition of BeReal. To support this incredible trajectory and promising early results, we are scaling our team. The Models team is a core element of the targeting performance. It leverages machine learning and a strong business understanding to directly impact the product's financial performance. It's composed of mostly senior Data Analysts, Analytics Engineers, Data Engineers and Data Scientists/ML Engineers that iterate together on finding and building the next performing iteration. This role can be either Paris or Helsinki based and done in a hybrid setup. ROLE We're looking for a Senior ML Engineer to join our Models team. You will be joining a dedicated squad of Data Engineers, Data Scientists, and ML Engineers focused on building and maintaining the ML training infrastructure that powers our ad-targeting models from data preprocessing through model deployment to production monitoring. In this role, you will be leading the following topics: - Architectural Ownership: Take end-to-end ownership of highly visible projects from ideation to production release. This includes feature scoping, timeline estimation, architecture design, and benchmarking new technologies. - Pipeline Engineering: Build and maintain quality data and ML pipelines to align with ever-evolving business and machine learning needs. Optimize training pipelines for performance, memory efficiency, and cost (e.g. spot instance strategies, efficient data loading, preprocessed artifact reuse). - Data Scientists Enablement: Enable Data Scientists to iterate faster by providing reusable, well-tested pipeline components (transformers, dataloaders, training utilities) and reviewing their contributions to shared code. Extend dataset capabilities: integrating new data sources, scaling feature windows, and increasing training data volumes without breaking pipeline constraints. - Deep Learning Development: Contribute to deep learning development: GPU workload orchestration, custom PyTorch training loops, and model architecture support. - ML Lifecycle & Reproducibility: Maintain reproducibility and consistency across the ML lifecycle: versioned configs, experiment tracking, and online-offline consistency tooling. - Scalability & Reliability: Collaborate with infrastructure teams on scalability — node pools, resource monitoring, CI/CD migrations. Participate in weekly rotation to triage and resolve alerts from Airflow, dbt, and related systems. - Agile Collaboration: Thrive in a fast-paced agile environment with rapid decision-making processes. You will collaborate daily with back-end developers, data scientists, infrastructure engineers, and product managers. - Mentorship & Team Culture: You will actively contribute to our engineering culture, share knowledge, and ensure every team member feels comfortable, supported, and empowered to grow in their role. PROFILE We are looking for a Senior ML Engineer who deeply understands both the ML training lifecycle and the specific challenges of putting machine learning models into production at scale. - 5+ years minimum of experience as an ML Engineer or a similar role - End-to-End ML Ownership: Problem framing, baselines, experimentation, deployment, and iteration - Python Proficiency: Extensive knowledge for ML pipeline code: preprocessing, training/evaluation workflows, experiment utilities, and reproducible configs - Training Mechanics: Comfortable implementing training mechanics where needed (custom steps/metrics, dataloading patterns, performance-conscious preprocessing), not only notebook-level prototyping - ML Frameworks: Practical experience training and evaluating models with scikit-learn, LightGBM, PyTorch for deep learning - Performance Optimization: Experience optimizing memory usage during data preprocessing and model training - Experiment Management: Hyperparameter tuning, experiment tracking, and reproducible training (configs, seeds, versioning) - Cloud & Infrastructure: Experience with Amazon Web Services. Familiarity with scalability, reliability, and security topics - ML Production Awareness: Understanding of the challenges involved in running ML models in production (familiar with topics such as feature store, training-serving skew, etc.) - Model Serving: Experience with model serving infrastructure (real-time or batch inference, latency/throughput optimization) is a plus - Excellent communication skills in English OUR STACK Python · Scikit-learn · LightGBM · PyTorch · DBT · Spark · MLflow · Prometheus · Terraform · Airflow · Kubernetes · Amazon Web Services BENEFITS - Excellent benefits that will depend on the country you're based in

Location: United States, Austin, TX Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Data Center Strategy & Commercial Management Specialist Sony Interactive Entertainment is seeking a Data Center Strategy & Commercial Management Specialist to support the ongoing evolution of SIE’s global colocation footprint. This role sits within the Technical Operations department of the Global Developer Future Technology Group (GDFT), the organization responsible for building and operating the data center infrastructure that underpins PlayStation’s Cloud Gaming, Broadcast, and Developer Platform services worldwide. Our colocation environments host critical workloads ranging from real-time game streaming to content distribution, developer build systems, and testing environments. The successful candidate will lead the strategic planning, commercial management, and capacity management of SIE’s global colocation estate, ensuring infrastructure availability aligns with business growth, resilience, performance, and cost objectives. This role is responsible for translating business growth forecasts into practical colocation capacity, power, and infrastructure strategies across existing and future sites. The role combines commercial leadership, provider management, infrastructure planning, and technical coordination across a complex global environment. This is not a facilities operations role; however, the successful candidate must possess strong technical literacy in colocation infrastructure, including mechanical and electrical resiliency models, power and cooling constraints, and operational dependencies, in order to support informed commercial, contractual, and strategic decisions. Responsibilities: Colocation Strategy & Capacity Planning – Translate business growth forecasts and platform requirements into short-, mid-, and long-term colocation capacity strategies across existing and future sites, accounting for scalability, resiliency, performance, and regional demand. Commercial Management – Own the commercial strategy and lifecycle of SIE’s global colocation footprint, including renewals, expansions, exits, commercial obligations, and strategic capacity planning across multiple providers and regions. Commercial Negotiations – Lead commercial negotiations with colocation providers for renewals, expansions, new capacity acquisitions, and related commercial agreements in partnership with internal legal and procurement teams. Provider Relationship Management – Develop and manage strategic relationships with colocation providers, ensuring effective oversight of contractual obligations, service delivery, commercial commitments, escalations, and operational performance. Infrastructure Planning Coordination – Partner with operations, engineering, product, and business intelligence teams to translate deployment forecasts into actionable power, space, and capacity requirements across the global estate. Colocation Sourcing & Market Analysis – Support colocation sourcing activities including market assessments, provider evaluations, regional capacity analysis, commercial benchmarking, and expansion planning. Vendor & Contract Oversight – Manage contract governance, service-level oversight, commercial risk, and compliance requirements across a diverse global provider ecosystem. Commercial Analysis – Support sourcing and capacity decisions through commercial analysis, provider benchmarking, market comparisons, and evaluation of colocation pricing, terms, and service offerings. Lifecycle Governance – Maintain oversight of key commercial and operational milestones, including lease events, capacity commitments, renewals, expansions, migrations, and decommissioning activities. Performance & KPI Management – Define, monitor, and report on operational and commercial KPIs to drive accountability, transparency, and continuous improvement across the colocation estate. Executive Reporting & Governance – Develop reporting and governance frameworks that provide clear visibility into capacity, commercial exposure, provider performance, risk, and strategic opportunities. Market & Industry Awareness – Maintain awareness of colocation market trends, regional supply dynamics, pricing movements, provider capabilities, and industry developments to support strategic decision-making. Regulatory & Sustainability Alignment – Ensure infrastructure planning and commercial decisions align with environmental, sustainability, regulatory, and compliance requirements across multiple global regions. Decision-Making & Strategic Recommendations – Operate effectively in environments with evolving or incomplete business forecasts, providing infrastructure and commercial recommendations that balance growth, risk, timing, and cost considerations. What We’re Looking For: 7+ years of experience in colocation strategy, data center commercial management, infrastructure sourcing, capacity planning, or related disciplines within large-scale global environments. Demonstrated experience leading commercial negotiations with colocation providers, including renewals, capacity expansions, pricing negotiations, SLAs, and contractual commitments. Strong understanding of colocation commercial constructs, including leases, service orders, SLAs, power commitments, contractual obligations, and provider governance models. Experience managing colocation provider relationships across multiple regions, with understanding of market dynamics, supplier capabilities, and commercial models. Strong understanding of colocation infrastructure, including power, cooling, resiliency, and capacity constraints, with the ability to connect technical considerations to commercial and business outcomes. Experience translating business or deployment forecasts into actionable infrastructure capacity, power, and space strategies. Experience supporting colocation sourcing activities including provider evaluations, market analysis, commercial assessments, expansion planning, and capacity negotiations. Experience evaluating colocation commercial proposals, pricing structures, service offerings, and contractual terms to support infrastructure and capacity decision-making. Strong analytical and organizational skills, with the ability to manage complex datasets, contractual obligations, lifecycle milestones, and regional planning assumptions across a global footprint. Experience developing governance processes, KPI frameworks, and executive-level reporting for infrastructure, commercial, or capacity management functions. Excellent communication and stakeholder management skills, with the ability to influence technical, operational, financial, legal, procurement, and business stakeholders across multiple levels of the organization. Self-motivated, detail-oriented, and comfortable operating within a fast-paced, globally distributed environment. Ability to operate effectively at both strategic and tactical levels, balancing long-term infrastructure strategy with day-to-day commercial and operational priorities. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $184,500 — $276,700 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: India About Flosum Flosum is the only end-to-end platform purpose-built for Salesforce — trusted by Fortune 1000 enterprises, federal agencies, and high-growth organizations around the world. Our five integrated products — DevOps, Security Orchestration, CodeScan, Backup & Archive, and Data Migrator — give enterprises the confidence to accelerate delivery, simplify compliance, and scale Salesforce with precision. Founded in Silicon Valley and proudly self-funded, Flosum operates on a single guiding principle: your success is our success. We’re not optimizing for investor optics. We move fast, build with conviction, and put our customers at the center of every decision. The result is a 4.97-star rating on the Salesforce AppExchange and a customer roster that includes Cargill, Hilton, Cushman & Wakefield, and some of the largest federal agencies in the country. We serve enterprise IT leaders, Salesforce architects, DevOps teams, compliance officers, and government agencies — anyone whose organization depends on Salesforce operating securely, efficiently, and at scale. The Opportunity Flosum is at an inflection point. We have multiple product lines gaining traction across enterprise and mid-market segments, four active go-to-market motions — outbound sales, inbound/marketing-led, channel/partners, and product-led growth — and a lean, high-performing team that moves with urgency. What we need now is the operating infrastructure to match our ambition. We’re hiring a Director of Revenue Operations to be the architect of our revenue engine: the person who transforms disconnected GTM motions into a single, data-driven, capital-efficient machine. This is a builder role — not a maintainer role. You will design systems that don’t yet exist, enforce standards that currently aren’t enforced, and build the reporting infrastructure that makes every decision at Flosum smarter. This role reports directly to the CEO and is the highest-leverage operations hire we will make. You will touch every dollar of pipeline, every GTM motion, and every customer-facing team. What You’ll Own 1. Data, Reporting & Forecasting — Your Primary Mandate Your first 90 days are about establishing truth. Flosum runs on Salesforce, Marketo, and Gong.io. You will audit each, identify where data integrity breaks down, and rebuild the foundation: Design and own the forecasting architecture: weighted pipeline using actual historical conversion rates, forecast categories (Commit, Best Case, Upside), and a weekly cadence that drives ±10% accuracy within two quarters Build a standardized reporting hierarchy from the CEO’s decision-making needs down to frontline dashboards — eliminating the proliferation of reports nobody trusts Implement Salesforce data governance: mandatory stage-exit criteria, validation rules, controlled picklists, and loss-reason capture on every Closed Lost opportunity Segment reporting and forecasting by GTM motion — PLG self-serve revenue behaves differently from enterprise outbound and must be modeled and tracked separately Build and maintain the unit economics dashboard: CAC by motion, CAC payback period, LTV:CAC ratio, Magic Number, NRR/GRR, and S&M efficiency trends 2. Marketing Performance & Marketo Operations You don’t run campaigns — you govern the infrastructure that makes marketing measurable and accountable: Own the full lead lifecycle in Marketo: definitions, entry/exit criteria, and scoring model governance (with separate demographic and behavioral scores calibrated monthly against SQL conversion rates) Own Marketo-Salesforce sync governance: field mapping audits, sync log review, and API consumption monitoring Own multi-touch attribution: first-touch, last-touch, and influence models consistently applied across all four GTM motions Build and enforce speed-to-lead SLAs and SAL acceptance standards; build recycle plays for disqualified leads Monitor and report marketing funnel performance — lead volume, MQL-to-SQL conversion, channel efficiency, and marketing-sourced vs. marketing-influenced pipeline — and escalate anomalies before they show up in quarterly misses 3. Sales Process Governance You are the steward of how Flosum’s revenue actually gets created — not a gatekeeper, but the person who builds the standards: Design and enforce stage definitions with mandatory exit criteria; build deal desk processes for non-standard pricing and terms Own territory design, quota allocation methodology, and annual capacity planning — including ramp rates, hiring timelines, and coverage ratio targets by segment Run the weekly pipeline review cadence with sales leadership: stage conversion anomalies, stale deals, and forecast accuracy Design compensation plans that drive the right behaviors across all four GTM motions — with clear rules of engagement for multi-touch deals where outbound, inbound, PLG, and partner motions converge on the same account 4. Enablement Execution Through Gong.io At Flosum, enablement has historically been about delivery — training sessions, playbooks, messaging. You will own the other half: measurement and execution. After any messaging launch or methodology change, you will: Create Gong AI Trackers for the specific language, frameworks, and discovery questions reps should be using — and build adoption dashboards segmented by rep, team, and region Surface the gap between what was trained and what is actually happening on calls, and work with sales managers to close it with specific, Gong-sourced coaching examples Use Gong deal boards for pipeline inspection: multi-threading health, next-steps coverage, competitor mentions, and conversation-based risk signals layered onto CRM data Build the feedback loop: Enablement trains → Gong measures → RevOps reports gaps → Managers coach with specific call evidence → Enablement iterates. Without this loop, enablement is a cost center. With it, it’s a growth driver. 5. GTM Alignment Across All Four Motions Running outbound, inbound, channel, and PLG simultaneously creates real operational complexity. You will design the systems that prevent chaos: Build account-level ownership rules and real-time routing logic to prevent motion collisions (e.g., SDRs prospecting into accounts already working inbound MQLs, AEs working accounts with active PLG users) Design PQL routing logic with product usage trigger thresholds, account-level checks, and comp plan rules for sales-assisted PLG conversions Build deal registration governance and conflict resolution SLAs for the partner channel Own separate Opportunity Record Types per motion in Salesforce with unified roll-up reporting Run a monthly cross-functional GTM alignment meeting with sales, marketing, CS, and partner leadership — reviewing funnel health per motion and resolving ownership disputes before they fester What This Role Is Not We want to be honest about scope. A great RevOps leader at Flosum will push back when the role is being misused: You will implement an intake process, maintain a visible quarterly roadmap of four to five initiatives, and force trade-off conversations when new requests arrive. You say “not now” to good ideas that aren’t the most important idea. This is not sales operations with a rebrand. You serve the company, not any single department leader. Your loyalty is to revenue truth — even when the forecast is uncomfortable to present. Metrics You’ll Own Pipeline & Forecasting Forecast accuracy (±10% target within two quarters) Pipeline coverage by segment (3× SMB, 4× mid-market, 5× enterprise) Pipeline velocity: (Opportunities × Deal Size × Win Rate) ÷ Cycle Length, targeting +10% improvement QoQ Stage-to-stage conversion rates trended over time Marketing (Marketo) Lead-to-MQL, MQL-to-SQL, SQL-to-Opportunity, and Opportunity-to-Close rates by motion and channel Marketing-sourced and marketing-influenced pipeline (targets: 30–50% sourced, 50–70% influenced) Lead velocity rate (month-over-month qualified lead growth) Speed-to-lead SLA compliance and SAL acceptance rate Sales (Salesforce + Gong) Win rates by segment and motion Quota attainment distribution across the team (healthy target: 70–75% of reps at quota) Average selling price trends and discounting rate Sales cycle length by segment Enablement (Gong) Gong tracker adoption rates for key messaging and methodology by rep, team, and region Talk-to-listen ratios and topic coverage by deal stage Multi-threading indicators per deal stage Unit Economics CAC and CAC payback period by GTM motion LTV:CAC ratio by customer segment (target ≥3:1) Magic Number (Net New ARR × 4 ÷ prior quarter S&M spend; target >1.0) Net Revenue Retention and Gross Revenue Retention S&M as % of revenue (tracking toward 35% as we scale) Requirements What We’re Looking For 5–10+ years in Revenue Operations, Sales Operations, or GTM Operations in a B2B SaaS environment Direct experience operating across multiple GTM motions simultaneously (outbound, inbound, channel, and/or PLG) Hands-on Salesforce configuration experience — you can build Flows, design the data model, and implement validation rules without delegating everything to a developer Marketo (or equivalent marketing automation) operational experience: lifecycle architecture, lead scoring, and Marketo-Salesforce sync governance Gong.io (or equivalent conversation intelligence tool) experience: tracker creation, coaching dashboards, and deal inspection Demonstrated experience building a forecasting methodology from scratch — not just inheriting one Financial modeling comfort: unit economics, capacity planning, quota modeling, and comp plan design Experience at a company with $15M–$75M in ARR; you have built things with your hands, not just directed others to build them Strongly Preferred Experience in the Salesforce ecosystem (ISV, SI, or AppExchange partner) — you understand our buyers, our competitive landscape, and our channel dynamics Experience designing and governing partner/channel ops within a multi-motion GTMmodel SQL proficiency or experience with a BI tool (Tableau, Looker, Sigma, or equivalent) Prior experience designing and administering sales compensation plans The Mindset We’re Hiring For You Are a Builder You ask “Why does this exist, and should we rebuild it?” before touching a tool. You ship minimum viable systems and iterate relentlessly rather than designing perfect architectures that never launch. You Are Company-First Your loyalty is to revenue truth, not to any individual department leader. You present the forecast even when it’s uncomfortable. You push back when requests don’t serve the company’s priorities. You Are a Systems Thinker You see the revenue engine as an interconnected system. Changing lead scoring You Are Cost-Conscious You evaluate every tool, hire, and program through a unit economics lens. You resist “just thresholds ripples into pipeline coverage. Changing stage definitions changes forecast accuracy. You trace causes, not just symptoms add a tool” thinking. Flosum is self-funded and profitable — efficiency isn’t a constraint, it’s a competitive advantage. Benefits Build the Operating System for Flosum’s Next Phase of Growth 🏠 Remote-First 📈 B2B SaaS / ISV 🛠 Salesforce Ecosystem What You'll Get The authority and executive visibility to actually build — reporting directly to the CEO. Competitive base salary + performance-based variable compensation + equity A fully remote-first, global team that moves fast and operates with high trust The chance to build the GTM operating infrastructure of a profitable, self-funded Salesforce ISV with a category-leading product and enterprise customer base Daily exposure to top leaders in Salesforce DevOps and B2B SaaS operations What We Offer Opportunity to shape the digital strategy at a high-growth Salesforce ISV. Collaborative, innovative, and mission-driven culture. Competitive compensation and benefits. Career growth in a fast-scaling company serving global enterprises. Extras (Benefits & Perks) Competitive compensation, incentive structure, and company equity Daily coaching, mentorship, and growth opportunity Be part of a global, mission-driven team Learn from top leaders in Salesforce DevOps and SaaS sales Work on exciting challenges in a rapidly growing industry

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Corporate Network Engineering team owns Anthropic's corporate network: the wired, wireless, and edge infrastructure in our offices and research facilities around the world, and the standards, management systems, and telemetry that let a small team run them. We hold that network to the bar of a production service — designed for failure, managed as code, observable end-to-end, and secure by default — while delivering reliable connectivity to the people who depend on it every day. You'll set the technical direction together with your engineers and own the final decision on it and on the architecture standards, review and guide designs and the hard trade-offs, and lead vendor and platform decisions. You'll lead and grow a small team of network engineers: set priorities, drive decisions to closure, hire, and develop people. The team is small and the scope is broad, so this role needs real depth in campus and edge networking, judgment about what to standardize, automate, buy, and build, and the range to go from a wiring-closet decision to a budget defense in the same afternoon. You'll report to the head of IT Engineering and partner closely with our Buildouts, AV, and Endpoint teams; with Security Engineering on network security, authentication, and detections; with Physical Security, whose systems are critical for protecting Anthropic employees and depend on a reliable network; with Workplace, Real Estate, Procurement, and external logistics and integration partners on new site buildouts; and with our production networking teams, whose bar for reliability and automation is the one we hold ourselves to. Your work will directly shape how we scale to AI Safety Level 4 and beyond. Responsibilities Lead and grow the Corporate Network Engineering team — hiring, development, performance, planning, and prioritization Set technical direction with the team and own the final call on architecture standards across edge, campus switching, wireless, segmentation, out-of-band management, and telemetry; review designs and risky changes, and step in on the hard problems Own reliability and operations: monitoring people act on, incident response and post-incident reviews that produce changes, an on-call and escalation model a small team can sustain, change safety, and lifecycle currency Move the fleet toward network-as-code: templated configuration with change control, staged rollouts, drift detection, and automation that removes operational toil Partner with Security Engineering and Detection & Response on network authentication, segmentation, and the network as a detection source Deliver networks for new offices and research facilities and upgrade existing sites through live migrations — with Buildouts, AV, Physical Security, Workplace, Real Estate, and our logistics partners — while keeping interruptions to employees minimal Own vendor, carrier, and integrator relationships and the network hardware budget: evaluations, contracts, lead times, and multi-year refresh You may be a good fit if you Have 10+ years designing, building, and operating enterprise campus and edge networks, including at least one environment with dozens of sites across regions Have 5+ years leading engineers, including at least 3 years as a people manager Lead through technical judgment: whether or not you've been hands-on-keyboard lately, you can go from architecture to protocol behavior to failure modes with your engineers, and your reviews make their designs better Default to the secure design, then do the creative work to make it painless for the people using it — and can walk an executive or an engineer through the trade-off and make a recommendation Have run the operational side, not just designed it: out-of-band access, monitoring people act on, an on-call model a small team can sustain, and change safety Are pragmatic about what to build, buy, or automate, have run vendor evaluations with real money at stake, and chase problems across organizational boundaries to the actual root cause Communicate clearly with engineers, executives, contractors, and landlords, and can bring a room of senior engineers with strong opinions to a decision they'll commit to Want real technical ownership with a small team — including if you've led a larger organization before — and care about building infrastructure for an organization trying to get AI right Strong candidates may also Have led corporate networking at a company that added offices faster than it added network engineers Have implemented certificate-based network authentication (802.1X/EAP-TLS or equivalent) and identity- or device-based segmentation at scale Have shipped network configuration as code and built telemetry pipelines that security and support teams actually use Have designed dense wireless for large event spaces and high-occupancy floors Have been through multiple office builds with real estate and construction teams — including networks that physical security systems depend on — and know what to ask for before the walls close Have managed integrators, MSPs, or smart-hands providers as an extension of a small team while keeping design authority in-house Technical Skills We're looking for deep, hands-on experience in each of these — not surface familiarity: Enterprise edge: firewalls and routing (HA design, routing protocols, policy management across a fleet) Campus switching and high-density enterprise wireless (L2/L3 design, redundancy, RF design, 6 GHz, high-density venues) Segmentation and access control (certificate-based 802.1X, dynamic segmentation, guest and IoT isolation) Out-of-band management and secure, auditable administrative access Network automation and configuration as code (Python, templating, vendor APIs, source control, CI) Network observability (streaming telemetry, flow and log pipelines) Physical infrastructure for buildouts (MDF/IDF design, structured cabling, power and cooling, carrier and path diversity) Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $325,000 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. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are looking for a Finance & Strategy (FP&A)  Systems Engineer to join our Finance Systems team at Anthropic. In this role, you will be responsible for building and maintaining platforms that support our core Financial Planning, Forecasting and Analytics processes. You will bring deep hands-on expertise in EPM platforms like Anaplan, Pigment and data platforms like BigQuery, who writes integrations, tooling, and production code that connect them to Anthropic’s ERP and data warehouse systems. You'll work closely with Corporate Finance & strategy stakeholders to translate business requirements into innovative technical solutions, maintain data integrity, and drive continuous improvements to our financial systems infrastructure. You'll manage day-to-day Finance system operations, support critical financial processes and monthly Forecasting cycles, and take on more ambitious system projects over time, including using Claude to automate FP&A work, help build scalable solutions that enable efficient financial planning, forecasting, and reporting as we continue to grow. Responsibilities Systems Administration and Support Serve as a primary system administrator for our financial planning platform (Pigment), maintaining system health and optimal performance Manage Finance applications, data, user access & security,  system configurations, version management to ensure appropriate controls and governance. Provide technical support and troubleshooting for end-users, resolving issues and answering system-related questions System Development and Enhancement Design, build, and maintain applications, Financial  models and workflows with in-house tools and EPM platform like Pigment to support financial planning, budgeting, forecasting, and reporting processes Develop and maintain secure dataflows, integrations using Rest APIs to connect FP&A platforms, data warehouse with enterprise systems (e.g., Workday Financials, Salesforce CRM, etc.) Develop SQL-based data models, ETL pipelines, and reporting infrastructure to support financial close, forecasting, and business intelligence. Business Partnership and Process Improvement Partner with Finance & Strategy (FP&A), Accounting, and other Finance teams to understand business problems and use AI tools to build cutting edge solutions Support Monthly Forecast, Annual & Long Range planning, Workforce planning, OPEX Forecasting, Balance Sheet & Cash flow forecasting processes. Identify and implement process and Finance platform  improvements. Participate in testing and validation of system changes, ensuring accuracy and reliability Assist with training and onboarding of new system users Data Management and Quality Ensure the accuracy and integrity of financial data across systems Develop and maintain data validation rules and quality checks Troubleshoot data discrepancies and work with relevant teams to resolve issues Support data migration and transformation activities as needed Minium Qualifications Have 8+ years of experience in FP&A systems -  EPM platforms, Finance data warehouse, with a focus on financial planning, forecasting and analysis. Have hands-on experience administering and developing solutions in enterprise planning platforms (e.g., Pigment, Anaplan, Adaptive Planning, or similar EPM tools) Possess strong engineering and technical skills including advanced SQL and data modeling skills, creating and maintaining system integrations and data pipelines. Have demonstrated ability to translate business requirements into technical specifications and system designs. Have a strong understanding of FP&A processes, financial reporting, and accounting principles Preferred Qualifications Techno-functional: you're someone who is a CFA but also a hands on developer. Experience owning changes inside a shared production codebase alongside a product engineering team Warehouse and analytics-engineering skills such as dbt, BigQuery, or comparable Experience building robust Finance applications with LLMs Knowledge of programming or scripting languages (Python, JavaScript, etc.) Experience with Financial planning & analysis (CFA), experience with pre-IPO companies, supporting rapid growth and scaling financial systems accordingly. Understanding of financial data security and compliance requirements Certification in relevant planning platforms (e.g., Pigment, Anaplan Model Builder) Project management skills and experience leading system implementation workstreams 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: $205,000 — $270,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Medellin, Colombia On behalf of FinTech Client #1 , SD Solutions is looking for a talented Customer Onboarding Manager, ERP to step onto a fintech unicorn rocketship! SD Solutions is a staffing partner operating globally. Contact us to get more details about the benefits we offer. As an Onboarding Manager, ERP Migrations, you will lead ERP migration projects for existing Tipalti customers who are moving from one ERP system to another (e.g., NetSuite, QuickBooks Online, Intacct, SAP, Xero). This is a specialized track within Tipalti's Onboarding Manager career path, focused on some of our most complex, highest-visibility implementation work. You'll guide customers end-to-end — from early discovery and scoping through cutover and hypercare — while acting as a trusted advisor to customer Finance and Accounting stakeholders, often including VP-level leaders. The ideal candidate is self-motivated, detail-oriented, and an excellent communicator who keeps customers and internal partners informed at every stage of the project. Responsibilities: Leading end-to-end ERP migration projects for existing Tipalti customers, managing the full lifecycle from discovery and scoping through sandbox testing, cutover, and hypercare Serving as the primary point of contact and trusted advisor for customers' Finance and Accounting stakeholders — including VP-level leaders — with clear, proactive, and professional communication throughout the project Partnering with Sales, CSM/SAM, and TAM teams during project intake to capture project details, scope requirements, and coordinate Statement of Work (SOW) preparation and pricing Coordinating integration updates between Tipalti and the customer's new ERP, working closely with internal integration and technical teams Advising customers on data migration best practices, including vendor data and open bill migration, and use of AP clearing accounts where appropriate Assessing project complexity (number of entities/instances, transaction volume, additional integrations, regulatory requirements, parallel run requests) to determine the right level of testing and support Planning and executing cutover activities that minimize downtime, with clear advance communication to customers about timing and expectations Providing hypercare support after go-live to ensure a smooth transition and quick resolution of any issues Maintaining timely, proactive communication with customers and internal stakeholders across the project, including planning for coverage during any absences so momentum isn't lost Overseeing project timelines, tasks, and deliverables, keeping customers on track and exceeding expectations Contributing to the internal knowledge base, capturing lessons learned and helping colleagues navigate future ERP migration projects Requirements: Bachelor's degree in a relevant field or equivalent practical experience 4+ years of implementation, project management, consulting, or customer success experience with SaaS applications Hands-on experience implementing and/or integrating ERP applications such as NetSuite, QuickBooks, Intacct, SAP, or Xero (required) Excellent project management, written and verbal communication, and problem-solving skills, including experience communicating professionally with senior/executive-level stakeholders Ability to work in a fast-paced, deadline-driven start-up environment Passionate about customer service and proactively identifying solutions Bonus points if you have: Accounts Payable and Procurement knowledge Ability to read, debug, and understand web applications (HTML, CSS, JavaScript, API calls, etc.) Experience with multi-entity, multi-instance, or cross-border ERP migrations About the company: A well-funded fintech unicorn operating a cloud-based global payables automation platform. Enterprises use it to streamline supplier payments, mass payouts, and AP operations across international markets — replacing manual finance processes with automated, audit-ready workflows. By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

Location: Bangalore, India 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. About the role As a Senior Backend Engineer, you will design, implement, and evolve product capabilities while solving high-scope backend problems and influencing the technical and product direction of our teams. You will move beyond "assigned work" to actively improve the quality, reliability, and performance of our systems. You will work across product, frontend, infrastructure, data, and security boundaries, making sound architectural trade-offs, communicating complex ideas clearly in an asynchronous environment, and helping define the standards for a high-scale, global product. Why you’ll love this role High Impact: You aren't just shipping features; you are shaping the architecture of a global platform used by millions. Technical Agency: You will influence team objectives, technical direction, and long-range goals, helping us solve problems of high scope and complexity. Innovative Culture: You will get to experiment with and integrate agentic AI into production engineering workflows, moving beyond simple prompt engineering to build resilient, AI-assisted systems. Autonomy: You will thrive in our remote-first, asynchronous organization, where clear written communication and self-direction are the pillars of success. User-Centric Collaboration: You’ll partner closely with PMs and designers to shape requirements, ensuring every technical decision delivers genuine value to our users. What you’ll do Drive Technical Direction: Design and ship moderate to complex backend features with minimal guidance, making pragmatic choices between modular-monolith code, shared components, or independently operated services. Raise the Bar: Advocate for product quality, security, availability, and performance. You will define backend standards for style, maintainability, testing, APIs, and operational readiness. Mentor & Lead: Mentor associate and intermediate engineers, remove technical blockers, and improve team delivery practices through code and design reviews. Operational Excellence: Diagnose and prevent performance/reliability issues at scale. Participate in incident response and act as a technical owner where appropriate. AI Integration: Use AI in production engineering work to improve outcomes, evaluate its effectiveness, and coach others on responsible, high-judgment use. What you’ll bring Deep Backend Expertise: A strong command of backend architecture, APIs, data systems, and performance tuning in a complex product or service environment. Adaptability: Proficiency in modern backend languages and a deep understanding of systems programming. We value the ability to learn and adapt over mastery of a single language. Architectural Judgment: Experience designing or evolving modular backend boundaries, bounded contexts, and migration-safe architectures. Influence: Ability to lead through influence, technical judgment, and clear written communication, effectively bridging the gap between product needs and technical reality. Agentic AI Expertise: Proven experience building or operating agentic systems in production—moving beyond prompt engineering to architecting loops, tool-use, and error-handling strategies that ensure reliability at scale. Helpful experience Experience with high-throughput distributed systems, concurrency, or profiling. Hands-on experience with containerized production operations (e.g., Kubernetes). Deep database performance knowledge (e.g., PostgreSQL, ClickHouse, schema evolution, partitioning). Background in large-scale modular monoliths or event-driven systems. Public technical communication, open-source maintenance, or experience in developer-focused SaaS. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We're looking for a Design Manager to lead Figma's internal Design Systems and Design Infrastructure as the company transforms and expands. This is a rare opportunity to become the steward of the system behind how Figma designs and builds Figma: the foundations, tokens and variables, component libraries, tooling, governance, and shared infrastructure that help our teams create with quality and coherence at scale. The work will shape every Figma product and, through them, the experience of millions of people. This is a senior people leadership role with meaningful scope. You'll lead designers across multiple Design work streams, set direction through a complex transformation, and partner deeply with Design, Product, and Engineering to turn strong foundations into greater quality, speed, and leverage across Figma. If you believe the best systems create coherence without limiting the autonomy teams need to do exceptional work, this is the role for you. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Lead and grow designers across Figma's internal Design Systems foundations, tokens and variables, component libraries, internal tooling, governance, and adoption Set an ambitious vision and quality bar for how Figma's internal design system evolves, translating the company's transformation into coherent, durable foundations for the product suite Partner with Design, Product, and Engineering leaders on strategy, resourcing, technical direction, adoption, and execution across a complex organization Bring clarity and momentum to ambiguous, cross-functional work, balancing system coherence with the autonomy product teams need to solve distinct problems well Evolve the Design Systems operating model, including governance, contribution paths, critiques and reviews, documentation, feedback loops, and adoption practices Hire, coach, retain, and develop an exceptional team, helping designers grow their craft, judgment, and leadership across multiple workstreams Represent the Design Systems perspective in broader organizational decisions and ensure Figma's design infrastructure evolves with its expanding product suite We'd love to hear from you if you have: 4+ years of design management experience, including direct people leadership across multiple workstreams and a strong track record of hiring, coaching, retaining, and developing designers Technical fluency with design foundations, tokens and variables, component libraries, internal tooling, and system architecture, plus direct experience applying or leading AI-enabled Design Systems workflows Experience evolving an internal design system at scale, earning trust across a sizable product organization, and leading the change required to drive meaningful adoption Deep, hands-on Figma expertise, high agency, end-to-end ownership, and a track record of creating clarity and momentum through organizational change Experience connecting coded component systems with design libraries and design-to-code workflows While not required, it’s an added plus if you also have: Building token pipelines and maintaining reliable synchronization between design foundations and code Creating internal tooling and automation that improves system maintenance, contribution, and adoption A track record of building shared platform or infrastructure services that other teams depend on Leading large-scale system migrations or design-infrastructure transformations across a multi-product organization At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $204,000 — $348,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Paris, France WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: As a Forward Deployed Architect on Notion’s Services team, you will help customers turn AI ambition into operational reality and unlock the full potential of our platform. You will partner directly with customers to design, build, and launch AI-native workflows that drive adoption, usage, and measurable business outcomes. This role sits at the center of Notion’s workflow-led GTM motion. You will partner directly with customers to understand their business goals, operating processes, technical environment, governance needs, and adoption barriers, then translate that context into scalable Notion architectures that drive measurable value. You will be hands-on across discovery, solution design, workspace architecture, workflow build, AI implementation, launch planning, adoption and handoff. You will work deeply with customers to define what Notion should own, where it should integrate with existing systems, and how Notion can become a durable operating layer for their teams. The best candidates combine strong consultative discovery, systems thinking, technical fluency, AI-native workflow design, implementation judgment and exceptional customer presence. You should be comfortable reasoning through technical tradeoffs, designing scalable solutions, and partnering closely with Forward Deployed Engineering when deeper engineering support is required. This role will be based in Paris. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Partner with customers on forward deployed engagements from discovery through launch, translating business goals and workflow requirements into scalable clear solution design and Notion solutions that drive durable adoption. - Design scalable Notion architectures that translate customer workflows, permission and governance needs, integrations and AI use cases into optimal workspaces that are easy to adopt, manage and scale. - Design and deploy AI-native workflows using Notion AI, custom agents, automations, Workers, Developer Platform capabilities and adjacent AI tools, partnering with Forward Deployed Engineering when advanced technical depth is needed for migrations, API constraints, security architecture or frontier implementation. - Help customers navigate change by designing adoption plans, enablement materials and launch approaches that drive sustained usage and measurable business value. - Identify repeatable patterns across customer engagements and convert them into packaged solutions, templates, reference architectures, run books, enablement assets and product feedback. - Serve as a trusted advisor to customers, simplifying complex technical requirements, making practical tradeoff recommendations and helping stakeholders align around a clear implementation path. - Partner cross-functionally with GTM, Product, Engineering, PMM, Services leadership and the partner ecosystem to scale what works beyond individual customer engagements. - Create clear implementation plans, handoff materials and success measures that align customers and internal teams on the path to value. SKILLS YOU'LL NEED TO BRING: - 5+ years of experience in tech services/consulting, solutions architecture, implementation, customer engineering, or a similar customer-facing role. - Proven ability to translate ambiguous customer goals into clear workflows, implementation plans, solution architectures, and measurable success criteria. - Strong consultative discovery skills, including the ability to map current-state workflows, identify customer pain, understand operating models, surface technical constraints, and define practical future-state solutions. - Hands-on AI builder mindset, with experience using AI tools to design, prototype, automate, or improve real business workflows. - Technical fluency with APIs, integrations, data models, automation, enterprise systems, developer workflows and implementation tradeoffs. You do not need to write production code but you should be able to reason through technical constraints and troubleshoot effectively. - Strong experience delivering implementations that drive adoption, change management and long-term customer value. - Strong project and engagement management skills, including ownership of scope, timeline, deliverables, stakeholder alignment, risks, decisions, dependencies and launch readiness. - Exceptional written and verbal communication, with the ability to simplify complex technical concepts for business, technical, and executive audiences. - Strong executive presence and customer judgment, with the ability to build trust, frame tradeoffs clearly, and move ambiguous decisions forward. - Bias toward action, high learning velocity, and comfort building in fast-changing AI-native product environments. - Fluency in English and French. NICE TO HAVES: - Experience designing or deploying Agents, automations or AI-powered workflows with Customers. - Experience with Notion, APIs, MCPs, Workers, coding agents or developer platform workflows. - Experience developing discovery methodologies, reusable delivery assets, internal tooling, packaged services or reference architectures from the ground up. - Experience partnering with Product and Engineering teams to turn field learnings into roadmap signal, reusable architecture patterns or scalable product improvements. - Previous experience in a fast-paced, high-growth technology environment. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €106,000 - €119,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Dublin, Ireland WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: As a Forward Deployed Architect on Notion’s Services team, you will help customers turn AI ambition into operational reality and unlock the full potential of our platform. You will partner directly with customers to design, build, and launch AI-native workflows that drive adoption, usage, and measurable business outcomes. This role sits at the center of Notion’s workflow-led GTM motion. You will partner directly with customers to understand their business goals, operating processes, technical environment, governance needs, and adoption barriers, then translate that context into scalable Notion architectures that drive measurable value. You will be hands-on across discovery, solution design, workspace architecture, workflow build, AI implementation, launch planning, adoption and handoff. You will work deeply with customers to define what Notion should own, where it should integrate with existing systems, and how Notion can become a durable operating layer for their teams. The best candidates combine strong consultative discovery, systems thinking, technical fluency, AI-native workflow design, implementation judgment and exceptional customer presence. You should be comfortable reasoning through technical tradeoffs, designing scalable solutions, and partnering closely with Forward Deployed Engineering when deeper engineering support is required. This role will be based in Dublin. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Partner with customers on forward deployed engagements from discovery through launch, translating business goals and workflow requirements into scalable clear solution design and Notion solutions that drive durable adoption. - Design scalable Notion architectures that translate customer workflows, permission and governance needs, integrations and AI use cases into optimal workspaces that are easy to adopt, manage and scale. - Design and deploy AI-native workflows using Notion AI, custom agents, automations, Workers, Developer Platform capabilities and adjacent AI tools, partnering with Forward Deployed Engineering when advanced technical depth is needed for migrations, API constraints, security architecture or frontier implementation. - Help customers navigate change by designing adoption plans, enablement materials and launch approaches that drive sustained usage and measurable business value. - Identify repeatable patterns across customer engagements and convert them into packaged solutions, templates, reference architectures, run books, enablement assets and product feedback. - Serve as a trusted advisor to customers, simplifying complex technical requirements, making practical tradeoff recommendations and helping stakeholders align around a clear implementation path. - Partner cross-functionally with GTM, Product, Engineering, PMM, Services leadership and the partner ecosystem to scale what works beyond individual customer engagements. - Create clear implementation plans, handoff materials and success measures that align customers and internal teams on the path to value. SKILLS YOU'LL NEED TO BRING: - 5+ years of experience in tech services/consulting, solutions architecture, implementation, customer engineering, or a similar customer-facing role. - Proven ability to translate ambiguous customer goals into clear workflows, implementation plans, solution architectures, and measurable success criteria. - Strong consultative discovery skills, including the ability to map current-state workflows, identify customer pain, understand operating models, surface technical constraints, and define practical future-state solutions. - Hands-on AI builder mindset, with experience using AI tools to design, prototype, automate, or improve real business workflows. - Technical fluency with APIs, integrations, data models, automation, enterprise systems, developer workflows and implementation tradeoffs. You do not need to write production code but you should be able to reason through technical constraints and troubleshoot effectively. - Strong experience delivering implementations that drive adoption, change management and long-term customer value. - Strong project and engagement management skills, including ownership of scope, timeline, deliverables, stakeholder alignment, risks, decisions, dependencies and launch readiness. - Exceptional written and verbal communication, with the ability to simplify complex technical concepts for business, technical, and executive audiences. - Strong executive presence and customer judgment, with the ability to build trust, frame tradeoffs clearly, and move ambiguous decisions forward. - Bias toward action, high learning velocity, and comfort building in fast-changing AI-native product environments. NICE TO HAVES: - Experience designing or deploying Agents, automations or AI-powered workflows with Customers. - Experience with Notion, APIs, MCPs, Workers, coding agents or developer platform workflows. - Experience developing discovery methodologies, reusable delivery assets, internal tooling, packaged services or reference architectures from the ground up. - Experience partnering with Product and Engineering teams to turn field learnings into roadmap signal, reusable architecture patterns or scalable product improvements. - Previous experience in a fast-paced, high-growth technology environment. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €106,000 - €119,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Workplace: fully About Utorg Founded in 2019, Utorg builds the infrastructure for stablecoin payments: on- and off-ramps, self-custodial wallets, and crypto cards. Over 2 million users across 130+ countries already buy, hold, and spend crypto through our app. On the B2B side, the same rails power 2,100+ platforms, with $2.4B+ moved to date. Fully MiCA-authorized across the EEA. PCI DSS Level 2 certified. Backed by Dragonfly, TA Ventures, and Hypra. Location: Remote Tech stack: TypeScript, Node.js, NestJS, PostgreSQL, TypeORM, NATS JetStream, Redis, Jest, Docker, Kubernetes, Google Cloud Platform. Blockchains: EVM-compatible, Bitcoin-family, Tron, Solana, TON. About the role: We're looking for a Senior Backend Engineer who thinks in systems and owns the outcome: two large-scale microservice platforms (30+ and 25+ services), blockchain integrations handling real user funds across multiple networks, a fintech product available in 190+ countries. This role partially offloads the Tech Lead. That means making architectural calls independently, driving complex integrations with payment providers and blockchain networks, and shaping technical direction, not just contributing to it. The bar is high by design. If you've been in rooms where key technical decisions get made, and you were the one making them or should have been, let's talk. What you’ll do: • Own backend architecture across two large-scale microservice platforms (30+ and 25+ services) from system design and API contracts to data flow and inter-service communication. • Lead complex integrations — payment providers, card issuers, blockchain networks, third-party APIs, and take full responsibility for their reliability in production. • Drive performance and scalability — identify bottlenecks, design caching strategies, optimize database queries, and ensure the platform handles growing load. • Shape technical direction — make architectural decisions, evaluate trade-offs, and influence the team’s engineering standards. You’ll partially offload the Tech Lead so the team can scale. • Build and improve AI-powered processes — our team actively uses LLM-based systems to automate operational and development workflows. You’ll contribute to and extend this direction. • Contribute to back-office frontends (~20% of your time) — maintain and extend React-based admin dashboards used by internal teams. • Own features end-to-end from planning and architectural design to implementation, testing, production monitoring, and iterative improvement. • Collaborate closely with Product, QA, and cross-functional teams — produce clear technical documentation, participate in code reviews, and share knowledge. • Take part in a shared on-call rotation — roughly one week a month. Who you are: • Technically strong with an architectural mindset — you don’t just write code; you design systems. You think about data flows, failure modes, and long-term maintainability before writing the first line. • Opinionated and able to defend your decisions — you bring an expert perspective to technical discussions and can articulate trade-offs clearly to both engineers and stakeholders. • Proactive problem-solver — you find issues before they become incidents and propose solutions without waiting to be asked. • Product-driven — most of your time goes into shipping features and solving real user problems, not open-ended refactoring. • Self-motivated and responsible — you thrive in small teams, enjoy autonomy, and take full ownership of the development process. What you will bring (must-have) : • Last 5+ years of production experience in backend development with Type Script/Node.js as the primary stack. Last 2+ years with NestJS in production — modules, providers, middleware, guards, interceptors, microservice architecture with custom transports. • System design experience — decomposing services, designing API contracts, data flow architecture, capacity planning. You can whiteboard a system and explain why you made each decision. • Complex integration experience — you’ve built and maintained integrations with third-party APIs, payment systems, or similar external services in production. You know how to handle retries, circuit breakers, and graceful degradation. • AI-driven development — you actively use AI tools (Claude, Copilot, Cursor) in your daily workflow. Beyond personal productivity, you have experience optimizing business or organizational processes with AI/LLMs—building automations, internal tools, or workflows powered by language models. • Fintech domain knowledge: PCI DSS, GDPR, KYC/AML, payment systems. • Deep PostgreSQL expertise — schema design, indexing (partial, GIN/GiST), query optimization, migrations with zero downtime, database-per-service pattern. • Hands-on microservices experience — not a monolith split into modules. You’ve dealt with inter-service communication (RPC + pub/sub), message brokers, idempotency, eventual consistency, saga/outbox patterns. • Performance engineering — profiling, caching strategies, load analysis, bottleneck identification. You can optimize a slow query and a slow service alike. • Strong testing discipline — unit tests (Jest), integration tests with real databases, microservice testing. • Security-conscious — in fintech and crypto, every code path can touch real user funds. You build accordingly. • Skilled in technical research — evaluating trade-offs, testing hypotheses, and making data-driven architectural decisions. • English proficiency at Upper-Intermediate. Fluent in Russian. Nice to have: • Production blockchain experience — you’ve worked with on-chain transactions, multiple networks, and real user funds. You understand HD wallets (BIP32/BIP39), smart contracts, ABI, ERC-20/SPL tokens, and the differences between account-based and UTXO models. Experience with libraries like ethers.js, viem, and solana/web3.js. • Experience with NATS JetStream as a transport layer (streams, consumers, delivery policies). • Observability: OpenTelemetry, Prometheus + Grafana, structured logging (pino), distributed tracing. • Kubernetes beyond basics: Kustomize/Helm, deployment strategies, resource management. • Experience mentoring developers. • React basics for back-office UIs (functional components, hooks, Redux, Material-UI). Interaction with other teams: Close collaboration with Product, QA, Frontend, and Mobile. Cross-functional communication is an essential part of the role. Partially offload the Tech Lead: own architectural and technical decisions, independently drive complex integrations, and influence the platform's technical direction. This is not an executor role. We need someone with strong expert opinions who can be relied upon for key technical decisions. Key results (30-60-90): 30 days: First features shipped to production. Deep dive into the stack, architecture, and domain (blockchain, fintech). Clear understanding of core services and how they interact. 60 days: Independently drives a complex integration or a major feature. Participates in architectural code reviews. Brings first proposals for improvements. 90 days: Makes architectural decisions on their scope. Influences technical direction. Partially offloads decision-making from the Tech Lead. Participates in planning. What we offer: • Work fully remote as part of an agile, international team reshaping the future of finance. • An engineering culture that encourages the adoption of modern tools and development practices, giving engineers real influence over technologies, workflows, and technical decisions. • Two career tracks — grow into Tech Lead or deepen your expertise as Staff/Principal IC. You choose the path. • Career progression and professional development in a forward-thinking fintech environment. • Competitive salary range based on individual performance review. • Transparent feedback and a culture that values ownership, open dialogue, and visible impact. Recruitment Process Application. Submit your application and CV. Application Review. Our team reviews your experience and qualifications. HR Interview. An introductory conversation to discuss your professional background and expectations. Technical Interview. Assessment of your technical expertise, system design skills, and relevant experience. Team Lead Interview. A discussion focused on team fit, collaboration style, and alignment with engineering culture. Offer. Receiving the offer and details about the next steps.

Location: Remote - US Overview LaunchDarkly is seeking a creative and experienced Product Manager to lead our end-to-end data products, from SDK data ingest through our data platform to the customer-facing observability, metrics, and experimentation experiences built on top of it. You will own the vision and strategy for this entire pipeline as a coherent product, ensuring the data customers send us is trustworthy, timely, and transformed into experiences that help them ship better software. The ideal candidate has a deep understanding of data infrastructure, observability/analytics, and how customers and their agents consume and work with software delivery data. Responsibilities Define and lead the product vision, strategy, and roadmap for LaunchDarkly's end-to-end data products, spanning SDK event ingestion, our data platform, and customer-facing data products, ensuring alignment with company goals and customer requirements. Own the strategy for AI-powered analysis of our data and the agent experience of our data products: how AI surfaces insights, anomalies, and recommendations from software delivery data, and how our data is modeled, exposed, and made consumable so that AI agents are first-class consumers alongside humans. Own the product strategy, platform definition, and GTM for our data products. Treat the data pipeline as a single product: drive coherence across ingestion, processing, storage, and consumption so that every downstream experience (analytics, experimentation, insights, integrations) is built on a reliable, well-modeled foundation. Collaborate with engineering, design, marketing, and sales teams to deliver high-quality products that meet customer needs. Monitor industry trends and competitor products to stay ahead of the curve. Act as the voice of the customer, ensuring their needs and pain points are addressed in all product decisions. Partner with marketing and cross-functional teams including sales, customer success, and support to define Go-To-Market plans and strategy for data products and features. Mentor and uplevel other product managers, and raise the bar for data-informed product practice across the organization. About you Curious: More than anything, you love learning and are able to build opinions and expertise quickly across many domains. Purpose-driven: The how behind all your projects is driven by a clear definition of why we're solving the problem. Agent-first: You’re obsessive about pushing agents to their limits and often eschew UIs in favor of agent-first interactions. Customer-centric: You are driven to understand customer challenges and needs, crafting solutions that provide real value. Product sense: You love great software and can't stand bad software. You have a strong focus on craft, quality, and the ability to deeply empathize with the end user to deliver delightful experiences. Systems thinker: You see how the pieces connect. You're as comfortable reasoning about an ingestion pipeline's throughput as you are about the dashboard a customer sees, and you understand how decisions at one layer ripple through the others. Collaborative: You excel at working with diverse teams, seamlessly bridging customer stakeholders, ecosystem partners, and product development teams. Effective communicator: You build strong relationships and communicate with clarity and precision. You're an incredible writer who can concisely explain complex ideas in simple ways to a wide variety of audiences. Adaptable: You thrive in fast-paced environments and can effectively prioritize in order to manage multiple projects at once. High agency: You are motivated to achieve success and have a strong sense of ownership to deliver great outcomes across a broad range of responsibilities. Even if it's not your responsibility, if you see something that needs to be done, you make sure it happens. Business acumen: You understand how technical solutions tie to business objectives and can align projects to meet customer and company goals. Qualifications 8+ years of product experience, especially with data platforms, data infrastructure, analytics, or developer tools. Alternatively, 8+ years of engineering experience in data-intensive systems with a strong product mindset and a desire to transition into a product management role. We will consider candidates with fewer years of experience who demonstrate exceptional potential and excitement to get into the space, or who bring significant hands-on experience with AI-powered data analysis. Proven track record of successfully bringing data products to market and driving strategy across multiple teams or a platform-scale product area. Strong understanding of modern data architectures: event/streaming pipelines, data warehousing and lakehouse patterns, data modeling, and the trade-offs of processing data at scale. Experience with both platform products (where the customer is internal teams or developers) and end-user-facing data products (analytics, observability, insights, experimentation), and an understanding of how the two must work together. Excellent analytical, problem-solving, and decision-making skills. Strong communication and interpersonal skills, with the ability to collaborate effectively with and influence cross-functional teams and senior leadership. Pay: Target pay ranges based on Geographic Zones* for Level 5: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $214,800 - $295,350 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $193,400 - $265,870** Zone 3: All other US locations - $182,600 - $251,020* LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @ launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Come lead the Identity & Access Management Platform team (IAM Platform) — the foundational layer that decides who can see and do what across all of ClickUp. This team owns the authorization engine, the permission and role model, authentication (SSO, MFA, SCIM, OIDC), sharing primitives, audit logs, and the core data model and APIs that define how customers' work is organized and nested across the product — the foundation every other part of ClickUp is built on. It is backend-heavy, high-blast-radius work. As we move upmarket, this is some of the most important and security-sensitive work we do — enterprises decide whether they can trust us based on how precise, predictable, auditable, and manageable our access controls are.   We're looking for a Senior Engineering Manager to lead and grow this team. Your mandate is twofold: deliver an enterprise-grade access management platform — extensible, configuration-driven, correct and auditable by design — and build the team that will carry it, hiring and developing engineers as we invest heavily in enterprise. You'll raise the access, identity, and admin capabilities enterprises depend on to an enterprise-grade standard and keep them there, partnering with a Staff engineer on technical direction while you own delivery, people, and priorities.   Just as important: you'll run this team the way ClickUp runs — AI-native. We structure work so AI agents can read it, route it, roll it up, and report on it, so a small team amplified by agents operates at a different scale. There are no status-reporting meetings; agents keep status, progress, and health current from real signals, and reporting is self-serve. We want a manager who has already used AI flows to cut noise, eliminate busywork, and streamline how a team operates — and who will push that further. RESPONSIBILITIES:   - Lead, grow, and develop the IAM Platform engineering team — own hiring, mentorship, performance, and career growth, and scale the team thoughtfully as we expand our enterprise investment. - Own the delivery of ClickUp's enterprise-grade access management platform: the authorization engine and permission/role model, authentication (SSO via SAML/OIDC and social/Okta/Entra, MFA/2FA, session and token management), SCIM provisioning, sharing and access-control primitives, audit logs, OAuth and API token management, and the core data model and APIs that define how customers' work is organized across the product. - Set the roadmap and priorities in partnership with product, security, and engineering leadership — elevating the access, identity, and admin capabilities enterprises depend on to an enterprise-grade standard and keeping them there. - Run an AI-native team: structure the work so agents can route, scope, and report on it; use AI flows to remove status meetings and manual reporting, reduce noise, and let a small team operate at scale. Continuously raise the bar on how the team leverages AI end-to-end. - Partner with enterprise customers, GTM, and security teams on access-control and identity requirements, and represent ClickUp credibly in enterprise security and architecture reviews. - Own operational excellence for high-blast-radius services: a healthy on-call rotation, safe migrations, reliability, and a clear security boundary where the server remains the source of truth. - Uphold a high engineering bar — design and code review, testing, performance, and security-by-design — for the most security-critical area of the product. - Collaborate across backend, frontend, platform, product, design, and infosec to ship coherent access experiences on top of the platform.   REQUIREMENTS:   - 8+ years of professional software engineering experience building production SaaS, with 3+ years managing engineering teams (including senior engineers). - Identity and access management experience is required — hands-on background delivering authentication and authorization systems: OAuth 2.0, OIDC, SAML, JWTs, MFA/2FA, enterprise SSO, SCIM, and RBAC/permission and role models, ideally in a multi-tenant environment. - A proven ability to use AI tools and agentic workflows to reduce noise and streamline how a team works — automating reporting, triage, and status, and freeing engineers to focus on building. - Experience delivering enterprise-grade SaaS at scale, and working directly with enterprise customers and their security, compliance, and administrative requirements. - A track record of building and scaling high-performing engineering teams — hiring, growing, and retaining strong engineers. - Enough technical depth to lead architecture discussions, make sound trade-offs on high-blast-radius systems, and hold a high bar without being the sole implementer. - A security-conscious mindset: you design access control precisely, treat the server as the source of truth, and think about correctness, auditability, and blast radius by default. - Excellent communication and cross-functional collaboration skills across engineering, product, design, and security. - Daily fluency with AI tools in your own workflow.   PREFERRED QUALIFICATIONS:   - Experience owning IAM or authorization at scale — millions of users, multi-tenant, or workspace-scoped identity and token models. - Experience designing configuration-driven or policy-based access models (RBAC/ABAC), authorization engines, or Zero Trust identity. - Experience with SCIM provisioning, audit logging, and enterprise compliance frameworks (SOC 2, ISO 27001, and similar). - A track record of moving a product upmarket and winning demanding enterprise customers. - Experience introducing AI-native or agent-driven operating models to an engineering team. - Experience managing engineers across backend and frontend, or managing other leads. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Spain ClickHouse is on a mission to grow a vibrant user community and establish ourselves as a cloud-first company. We are seeking an experienced Solutions Architect to help expand our presence in the region by empowering customers and users to unlock the full potential of ClickHouse. Our ideal candidate is a technical thought leader with strong customer facing skills, capable of bridging business objectives with technical solutions. In this role, you’ll serve as a trusted advisor, guiding clients on how to leverage ClickHouse for real time analytics, cloud native applications, and enterprise-scale workloads. WHAT YOU’LL BE DOING - Translate complex business and technical requirements into scalable solution designs, covering architecture, migrations, workflows, and data visualization. - Work directly with stakeholders across every level; from the C-suite to data scientists and developers, to enable customer success. - Evangelize ClickHouse’s vision and capabilities, driving adoption and securing strategic commitments. - Apply a solution based approach to demonstrate and deliver customer value. - Lead new initiatives that help customers transform raw data into actionable insights aligned with their business outcomes. WHAT YOU BRING - 5+ of experience with open source software business models; strong proficiency in cloud and infrastructure technologies. - Hands on experience with scalable, highly available distributed systems. - Proven ability to create proofs of concept (POCs) and reference implementations that drive customer adoption. BONUS POINTS FOR - Experience deploying applications or selling into environments with major cloud providers (AWS, GCP, Azure). - Familiarity with database programming and data modeling. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: UAE ClickHouse is on a mission to grow a vibrant user community and establish ourselves as a cloud-first company. We are seeking an experienced Solutions Architect to help expand our presence in the region by empowering customers and users to unlock the full potential of ClickHouse.  Our ideal candidate is a technical thought leader with strong customer facing skills, capable of bridging business objectives with technical solutions. In this role, you’ll serve as a trusted advisor, guiding clients on how to leverage ClickHouse for real time analytics, cloud native applications, and enterprise-scale workloads. WHAT YOU’LL BE DOING - Translate complex business and technical requirements into scalable solution designs, covering architecture, migrations, workflows, and data visualization. - Work directly with stakeholders across every level; from the C-suite to data scientists and developers, to enable customer success. - Evangelize ClickHouse’s vision and capabilities, driving adoption and securing strategic commitments. - Apply a solution based approach to demonstrate and deliver customer value. - Lead new initiatives that help customers transform raw data into actionable insights aligned with their business outcomes. WHAT YOU BRING - 5+ of experience with open source software business models; strong proficiency in cloud and infrastructure technologies. - Hands on experience with scalable, highly available distributed systems. - Proven ability to create proofs of concept (POCs) and reference implementations that drive customer adoption. BONUS POINTS FOR - Experience deploying applications or selling into environments with major cloud providers (AWS, GCP, Azure). - Familiarity with database programming and data modeling. #LI-DNI PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Simple Life is the #1 AI-powered health coaching app for adults who want to lose weight and enjoy a healthier lifestyle—without the stress or extremes. Our mission is to empower people to feel their best every day. By challenging traditional, restrictive approaches, Simple offers a more sustainable method grounded in ease, personalization, and real-life support. Simple has had over 17 million downloads and more than 300,000 5-star reviews, having helped millions lose weight successfully and sustainably. Simple has earned recognition as Best Virtual Coach and one of the Top 100 AI companies — all thanks to a dedicated global team driving real impact. With SIMPLE as a partner in their pocket, users feel cared for and empowered to embrace — and stick to — new healthy habits. Simple is looking for a Senior Data Engineer to join our Tech team. Push the pace of innovation and build a future of a healthier world with us! Задачи: — Design, build, and maintain streaming pipelines. — Develop custom ingestion pipelines from third-party APIs, webhooks, and SDKs. — Migrate existing data ingestion pipelines from SaaS tools to our own infrastructure. — Deliver data to the raw layer of our Snowflake warehouse with schema consistency, idempotency, and resilience to malformed or late data. — Evolve the existing AWS streaming stack (Kinesis, SQS, Lambda, API Gateway), improving cost efficiency, observability, and resilience. — Maintain infrastructure as code (Terraform) for ingestion and processing resources. — Monitor pipelines, troubleshoot, and resolve incidents. — Contribute to our ongoing work on safe data access for AI agents and tooling. — Continuously improve ingestion architecture, tooling, and engineering practices. Требования: — 5+ years of commercial Python experience in a backend or data engineering role. — Solid understanding of distributed systems architecture, including load balancing, sharding, and trade-offs between synchronous and asynchronous processing. — Hands-on experience with cloud services, preferably AWS (Lambda, API Gateway, containers in ECS/EKS). — Experience building streaming pipelines (Kinesis, SQS, or equivalents). — Experience with infrastructure as code (Terraform or equivalents). — Working knowledge of SQL: ability to read and write queries, including joins and window functions. — Commercial experience with real-world production data: ability to design systems that gracefully handle messy, duplicated, delayed, or malformed input. — Solid understanding of how data flows through production systems, including the ability to anticipate and prevent downstream issues. — Operational mindset: comfortable owning production systems and monitoring them. — Ability to make architectural decisions independently and review the work of teammates. Желательно: — Strong SQL and data modeling skills. — Experience with Snowflake and dbt. — Experience with workflow orchestrators (Airflow, Dagster, Prefect, or equivalents). — Experience working with analytics and product teams as a data provider. — Experience working with sensitive or regulated data. Условия: — Open-minded teams, a welcoming and inclusive company culture. — Competitive salary package based on expertise, skillset, and impact plus stock options. — In-office, remote and hybrid work opportunities. — Equipment needed for productivity. — Premium SIMPLE subscription. — 21 days annual leave plus bank holidays. — Flexible hours focusing on results, not desk time. О компании и ценностях: — Data-driven decision making. — Focus on impact and speed. — Ownership and responsibility. — Encouragement to push limits and innovate. — Team accountability and collaboration.

Location: Remote - US About the Job: Software powers the world, and LaunchDarkly empowers teams to deliver and control it safely. As a Senior Backend Engineer on the Billing team, you will own the systems that turn every plan, price, entitlement, and usage limit into revenue — checkout, subscription and entitlement APIs, usage metering, and the integrations to our billing, CRM, and finance systems. When billing is wrong, customers get the wrong product and we invoice the wrong amount. Correctness here is a commitment to our customers, not a nice-to-have. You and your team will drive the modernization of our billing platform. Technologies include Go, TypeScript, Postgres, AWS, and Terraform. Exact tool match matters far less than deep backend judgment and a track record of safely changing systems that are not allowed to be wrong. Responsibilities: Design and build the systems that define our plans, pricing, entitlements, and limits, and expose them through our API. Decompose billing from our monolith into services that are correct, testable, and independently deployable. Own correctness end to end — usage metering, reconciliation, and the invoices and usage data customers see. Operate what you build: SLOs, alerting, on-call, and fixing root causes rather than repeating mitigations. Qualifications: 6+ years of professional software-engineering experience, with significant work on complex backend applications. Experience decomposing a monolith A track record on systems where correctness is non-negotiable, and the habits that come with it: idempotency, reconciliation, reversible migrations, and safe cutovers. Proficiency in at least one backend language (Go, Rust, Python, etc.) and familiarity with cloud infrastructure (AWS or equivalent), plus strong production ownership including on-call. Bonus Billing, payments, or metering systems, or usage-based pricing. Modeling entitlements, quotas, or multi-tenant limits. Pay: Target pay ranges based on Geographic Zones* for Level 4: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $191,800 - $263,670** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $172,600 - $237,270** Zone 3: All other US locations - $ 163,000 - $224,070 ** LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @ launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: New York City, NY; San Francisco, CA; Seattle, WA; Washington, DC 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 IT Operations team keeps Anthropic running — we make sure every employee can do their best work without friction. We're seeking an IT Support Engineer who combines deep technical skills with a genuine service mindset and sound judgment. Anthropic is growing fast, and our IT operations need to keep pace. That means onboarding at scale, automating repetitive processes (including with Claude), and continuously improving the employee experience. You'll handle support challenges across our primarily macOS environment while contributing to the operational improvements that help us scale. You'll work closely with IT Engineering and Security, with opportunities to grow into more technical infrastructure work over time. Responsibilities End-User Support Triage and resolve issues across hardware, software, networking, and accounts — primarily through our ticketing system, with additional support via Slack and in-person Diagnose and resolve issues across macOS, ChromeOS, iOS, Android, and our core SaaS platforms (Google Workspace, Slack, GitHub, Atlassian) Troubleshoot device issues, including enrollment, configuration profiles, and policy enforcement Support access management and employee lifecycle workflows (onboarding, offboarding, reorgs) Handle escalations requiring cross-team coordination Participate in an on-call rotation for urgent issues outside business hours Provide hands-on support for user technology, AV systems, conference rooms, and printers Communication & Documentation Communicate clearly with users of all technical levels Write and maintain internal documentation including runbooks, how-to guides, and knowledge base articles Identify patterns in support requests, surface recurring issues to the team, and identify opportunities for automation or systemic solves Operational Improvement Help streamline onboarding and other high-volume operations as the company scales Contribute to automation efforts Maintain and improve device management, identity, and access systems Assist with scripting (Bash, Python) to automate repetitive tasks You may be a good fit if you Have 7+ years of hands-on IT support experience, ideally in a fast-paced or high-growth environment Are an excellent communicator who genuinely enjoys helping people solve problems Have strong troubleshooting skills and are methodical, curious, and persistent Demonstrated experience supporting macOS endpoints and comfortable supporting ChromeOS, iOS, and Android Have significant experience with Google Workspace administration Have experience with Slack administration — workspace management, permissions, and troubleshooting Have substantial experience supporting and administering additional SaaS tools Understand identity and access fundamentals — SSO, MFA, directory services Are familiar with MDM fundamentals and endpoint management concepts Have experience with basic scripting (Bash or Python) for automation Take ownership of problems and follow through until they're resolved Think beyond the immediate fix — you ask "why did this happen?" and "how do we prevent it?" Are organized enough to manage competing priorities without things falling through the cracks Propose solutions when you see a process that doesn't scale Are looking to develop deeper technical skills and take on more complex systems administration challenges over time Strong candidates may also Be familiar with zero-trust security concepts and endpoint security tooling Have experience with networking basics — DNS, DHCP, VPNs, networking fundamentals Have contributed to IT projects beyond day-to-day support (migrations, tool rollouts, process redesigns) Have experience using AI tools to improve personal or team productivity Location This role is based in our San Francisco, Seattle, New York or Washington DC office and there is a 4 day/week in office expectation. What Makes This Role Unique You'll be joining a high-impact IT team supporting some of the world's leading AI researchers and engineers. The pace is fast and you'll have real ownership over your work. This isn't a role where you follow rigid scripts — you'll be trusted to use your judgment, improve our processes, and grow with the team. Because we're scaling rapidly, you'll have meaningful opportunities to shape how IT operations work at Anthropic. Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $180,000 — $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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.