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Fluidstack is looking for an Engineering Generalist R&D to drive cross-functional initiatives, technical analysis, and operating cadence for R&D leadership.

Location: United States What you'll do: Conduct supplier selection for a specific product, leveraging our approved supplier list Partner with strategic suppliers to accelerate product development via activities such as: Concept scoping to quickly solidify requirements Feature trade-off / trade tables Should cost / Clean sheet models Joint design development, via clear statements of work Drive the development and consolidation of a manufacturing BOM, working with Quality & Manufacturing, to ramp production internally and with our suppliers with high flexibility Accountable for all NPI component procurement, on-time and correctly, to scale Manage the CAPEX throughout NPI Conduct value-stream mapping to optimize supply network lead time and flexibility Complete the BOM risk assessment, include alternate component sourcing, etc. Ensure completion of all vendor component qualifications, ahead of production Reduce complexity: commonality optimization & component/supplier rationalization Lead all cost engineering activities to converge the bottoms-up cost curve to product cost, maximizing the total cost of ownership (TCO) across the product lifecycle Manage ad-hoc cost issues e.g., tariffs / import export cost, and cost inflation Required qualifications: 5+ years of experience, ideally has background within: Design & development of electronics and/or mechanical devices Advanced sourcing activities, including stints as commodity/sourcing managers Supplier development (technology, process, supply chain, etc.) Early supplier engagement, ahead of product/engineering requirement realization Domain expertise must include value/procurement engineering or TCO-related work at the component & product level. Familiarity with developing high-tech products in a high-mix, low-volume environment Strong understanding of contracting processes and developing stages of program management Ability to navigate complex contractual landscapes and manage program impacts across multiple stakeholders Excellent stakeholder management and communication skills Strong financial management skills, including budget development and tracking Bachelor’s degree in engineering (BSME, BSEE) or other related technical degree preferred. Willingness to travel as needed (up to 25%) Eligible to obtain and maintain an active U.S. Secret clearance Preferred qualifications: Proven track record in designing and implementing best practices that drive operational efficiency and sustainable growth Experience with both hardware and software development lifecycles PMP certification or equivalent preferred

Location: Remote-Friendly, United States 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 Training and serving frontier AI models requires compute infrastructure at a scale and density that pushes past what conventional data center designs were built to handle. Anthropic's Data Center Infrastructure team is responsible for delivering that physical infrastructure — partnering with build partners, equipment manufacturers, and utilities to stand up facilities that can reliably power some of the largest accelerator clusters in the industry. As a Data Center Electrical Engineer – Design, you'll own the electrical architecture of our facilities from the utility service entrance through to the rack — substation interface, medium- and high-voltage distribution, on-site generation and storage integration, UPS, switchgear, busway, and rack power. You'll develop and maintain the basis of design, reference architectures, and technical specifications that our build partners and A/E firms design against, and you'll be the point of technical authority when their drawings and calculations come back for review. You'll run the engineering studies — short-circuit, protection coordination, arc flash, load flow, and power quality — and you'll keep the architecture ahead of rapidly increasing rack densities and the unique load characteristics of large-scale ML training. A central part of this role is speed-to-capacity through prefabrication: you'll shape Anthropic's offsite-manufactured electrical strategy — modular skids, e-houses, and prefabricated power assemblies — and drive its standardization across sites. You'll work closely with colleagues across the infrastructure team, with our hardware and compute teams to translate accelerator requirements into electrical design criteria, and with supply chain to qualify and diversify regional equipment vendors. Expect roughly 10–25% travel for design reviews, partner and vendor meetings, factory witness testing, and site visits to support commissioning and startup. Responsibilities Electrical design & engineering Lead the electrical design of critical data center infrastructure across the US portfolio, including the utility interface and substation, site medium- and high-voltage distribution, generators, UPS, switchgear, transformers, busway, and grounding Develop and maintain Anthropic's electrical basis of design, reference architectures, and technical specifications for critical power distribution — covering switchgear, UPS systems, PDUs, busway, and rack power delivery — producing designs that meet our reliability and maintainability requirements while staying within budgetary targets Perform and validate engineering studies — including short-circuit, protection coordination, arc flash, load flow, and power quality analysis — and use the findings to steer topology, redundancy, equipment-selection, and protection-setting decisions Design and plan data center hall power distribution layouts for newly allocated spaces in coordination with the telecom, mechanical and cooling design Prefabrication & modular delivery Drive Anthropic's prefabricated and modular electrical strategy — developing modular skids, e-houses, and prefabricated power assemblies, and partnering with external engineering and manufacturing teams on a productization roadmap that accelerates deployment and reduces onsite labor Design for offsite manufacture and onsite assembly: define the interfaces between prefabricated components and site-built work, and the electrical interfaces and switchover points for temporary-to-permanent power sequencing Drive standardization of modular electrical designs across sites to compress deployment timelines while preserving flexibility for site-specific constraints and evolving hardware generations Partner, vendor & utility coordination Work with regional vendors and manufacturers to specify and qualify major electrical equipment, and partner with supply chain to build a diversified vendor base that mitigates lead-time and single-source risk Work with utilities and interconnection/transmission operators (e.g., ISOs/RTOs) to define site utility service and interconnection requirements, and with local authorities having jurisdiction to ensure designs comply with the National Electrical Code (NFPA 70/NEC), NFPA, IEEE, UL/ANSI, and local requirements Work with Anthropic's hardware and compute teams to translate accelerator power, density, and power-quality requirements into electrical design criteria, and keep the reference architecture aligned with upcoming hardware generations Present findings and design positions to internal stakeholders, build partners, and operations teams through clear reports and presentations, and defend them under challenge Design review & quality Review and approve electrical design packages, calculations, submittals, and shop drawings from build partners and MEP consultants; track clarifications, deviations, and exceptions against the basis of design, and hold the line on capacity, reliability, maintainability, and safety requirements Perform technical due diligence and design reviews on data center developer and partner projects — evaluating their electrical single-lines, equipment selections, studies, and specifications against Anthropic's reliability, maintainability, and capacity requirements Define project electrical scope and serve as the design authority on RFIs and field changes that affect design intent during procurement and construction Support factory acceptance testing, commissioning, and startup — reviewing test procedures and results against design intent, participating on site for key milestones, and closing as-built changes back into the reference design Manage concurrent projects across multiple geographies Continuously improve Anthropic's internal electrical design standards, tooling, and delivery practices, and act as a technical leader within the engineering group and across the internal and external teams that support our data centers You may be a good fit if you Have 10+ years of electrical engineering experience in mission-critical facilities, with substantial time spent on data center or other high-availability electrical distribution design — from concept through construction documents and into commissioning support Have deep familiarity with US electrical codes and standards — including the National Electrical Code (NFPA 70/NEC), NFPA 70E, IEEE standards (e.g., 1584 for arc flash), and UL/ANSI equipment standards (e.g., UL 891, UL 1558) — and with utility interconnection processes Have hands-on experience producing and reviewing electrical construction documents, single-line diagrams, and equipment specifications, and can interpret data center floor plans and technical layouts with confidence Have strong knowledge of power distribution and cooling infrastructure in high-availability data center environments Are fluent in power systems analysis and comfortable running or critically reviewing studies in tools such as SKM, ETAP, or EasyPower Understand critical power topologies (2N, N+1, distributed redundant, block redundant) and can articulate the trade-offs between them for different reliability and cost targets Have working knowledge of HV/MV substations, on-site generation, and energy storage integration, and how each shapes the overall electrical architecture Have hands-on experience with prefabricated and modular data center electrical infrastructure — design for offsite manufacture, modular skids/e-houses, and the interfaces between prefabricated components and onsite assembly Have worked directly with electrical equipment manufacturers, A/E consultants, and contractors, and can evaluate products and designs on technical merit, not just datasheet claims Hold a bachelor's degree in Electrical Engineering or a closely related field, or have equivalent practical experience; Professional Engineer (PE) licensure is valued but not required Communicate clearly with both technical peers and non-specialist stakeholders, and are comfortable defending a design position under scrutiny from partners and internal reviewers Strong candidates may also have Experience owning the electrical basis of design or reference architecture for a hyperscale or large colocation program, and driving its adoption across multiple sites or by external build partners A track record building modular prefabricated products in the electrical or mechanical scope of a data center, and driving designs toward offsite manufacturing Background in medium-/high-voltage distribution, on-site generation, or battery energy storage system (BESS) integration, and how those shape the building-side electrical design Exposure to liquid-cooled infrastructure and its implications for electrical room layout and load distribution Prior work at a hyperscaler, colocation provider, or MEP consultancy serving large data center clients Direct project experience delivering data centers in multiple US markets (e.g., Virginia, Texas, Arizona, Ohio, Oregon) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote-Friendly, United States 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 Training and serving frontier AI models requires compute infrastructure at a scale and density that pushes past what conventional data center designs were built to handle. Anthropic's Data Center Infrastructure team is responsible for delivering that physical infrastructure — partnering with build partners, equipment manufacturers, and utilities to stand up facilities that can reliably power some of the largest accelerator clusters in the industry. At the scale we build, our campuses are typically served by dedicated high-voltage substations and a medium-voltage distribution network that may also integrate on-site generation and battery energy storage — and the protection, control, and automation layer is what keeps all of it selective, coordinated, and observable. As a Data Center Substation, Protection & Automation Engineer, you'll own the protection and automation architecture across Anthropic's US portfolio — from the utility point of interconnection (POI) through the HV/MV substation, the MV distribution loop, and down into LV switchgear. You'll develop and maintain our protection philosophy and reference relay settings, run and review the short-circuit, coordination, and arc-flash studies that underpin them, design the substation automation and SCADA architecture, and define how relays and meters integrate into the electrical power monitoring system (EPMS) — giving operators real-time visibility and sequence-of-events data when something trips. You'll also be our technical lead on the protection side of utility interconnection — working relay settings, transfer-trip, and ride-through requirements with transmission owners and ISOs/RTOs. Protection engineering and substation automation are the core of this role; substation physical design is a strong plus but not a prerequisite — we'd like to hear from protection and P&C engineers who have spent their careers on relays, schemes, and studies even if they haven't owned a substation general arrangement. You'll work closely with colleagues across the infrastructure team, our build partners' A/E firms, relay and switchgear vendors, and utility protection groups. Expect roughly 20–35% travel for witnessing factory acceptance and relay testing, and supporting site energization and commissioning. Responsibilities Protection engineering Own Anthropic's protection philosophy and basis of design across the electrical system — HV substation, MV distribution, generator and energy-storage interties, and LV switchgear — and maintain the reference relay settings and protection one-line templates our build partners design against Specify protective relays and develop relay settings for transformer, feeder, bus, generator, motor, and arc-flash protection applications, working across major platforms (e.g., SEL, GE Multilin, ABB, Siemens, Schneider) Perform and critically review short-circuit, protective-device coordination, and arc-flash studies; use findings to steer equipment selection, settings, and incident-energy mitigation Implement automatic transfer, load-shed, and restoration schemes in protection and automation logic, and make sure they stay secure and coordinated under every credible contingency Review protection and control design packages, relay settings calculations, and coordination studies from build partners and A/E firms against our basis of design, and drive closure on deviations and exceptions Substation automation & SCADA Design the substation automation architecture for each site — IEC 61850 station and process bus, GOOSE messaging, RTUs/gateways, local HMI, sequence-of-events recording, and time synchronization — and drive standardization of that architecture across the portfolio Integrate protective relays, meters, and switchgear controls into the electrical power monitoring system (EPMS) and substation SCADA; define electrical points lists and event/waveform capture, applying the site alarm and HMI standards Help define the network topology, redundancy, and cybersecurity boundaries between substation automation, EPMS, and the facility BMS/DCIM layer, and how protection events surface to operations Evaluate and qualify relay, RTU, gateway, and EPMS platforms on technical merit, and work with supply chain to build a diversified vendor base that mitigates lead-time and single-source risk Substation design & utility interface Review HV/MV substation design packages from build partners — single-line and three-line diagrams, bus configuration, general arrangement, equipment specifications, grounding-grid design, and control-building layout — and confirm the protection and control design is buildable and maintainable Work with local utilities, transmission owners, and ISOs/RTOs on interconnection protection requirements — relay settings submittals, transfer-trip and communications-assisted schemes, POI study review, and protection settings that satisfy ride-through and grid-code requirements Review the protection and control interface for on-site generation and battery energy storage interconnections, including anti-islanding, synchronizing, and intertie protection Support NERC PRC compliance for applicable facilities — settings documentation, misoperation analysis, and periodic maintenance and testing basis Testing, commissioning & standards Develop relay test plans and factory and site acceptance test procedures for protection and automation systems, and witness FAT, relay secondary-injection testing, GOOSE messaging and end-to-end scheme testing, and integrated systems testing Review the protection and control steps of energization and switching methods of procedure (MOPs), support first-energization of substations and MV distribution, and resolve protection and control issues found in the field Lead root-cause analysis of protection operations and misoperations using relay event records, sequence-of-events data, and disturbance records, and feed findings back into settings and standards Build and continuously improve Anthropic's internal protection and automation standards — settings templates, scheme logic libraries, test procedures, and commissioning checklists — so each new site starts from a proven baseline You may be a good fit if you Have 10+ years of experience in power system protection engineering, substation automation, or substation design for utility, heavy-industrial, or mission-critical facilities Hold a bachelor's degree in Electrical Engineering or a closely related field, or have equivalent practical experience; Professional Engineer (PE) licensure is valued but not required Have deep, hands-on expertise applying and setting protective relays for transformers, feeders, buses, generators, and switchgear, and are fluent in at least one major relay platform (e.g., SEL, GE Multilin, ABB, Siemens) Are fluent in short-circuit, protective-device coordination, and arc-flash analysis and comfortable running or critically reviewing studies in tools such as SKM, ETAP, EasyPower, ASPEN, or CAPE Have hands-on experience integrating protective relays into substation automation or SCADA systems using protocols such as DNP3, Modbus, or IEC 61850, and understand RTU/gateway and sequence-of-events architecture Have worked on utility interconnection protection — relay settings submittals, transfer-trip or communications-assisted schemes, or point-of-interconnection protection requirements — from either the utility or the customer side Can read, interpret, and mark up single-line and three-line diagrams, AC and DC schematics, relay panel drawings, and wiring diagrams with confidence Have developed relay test plans and witnessed factory acceptance testing, secondary-injection testing, or field commissioning of protection and control systems Are familiar with the codes and standards that govern protection and substation work — such as the IEEE C37 series, IEEE 1584, NFPA 70/70E, and (for utility-connected or bulk-electric-system facilities) NERC PRC reliability standards Communicate clearly with both technical peers and non-specialist stakeholders, and are results-oriented, with a bias toward practical solutions and a willingness to pick up work outside your core remit when the team needs it Strong candidates may also have HV/MV substation physical design experience — general arrangement, bus configuration, power transformer and HV breaker specification, grounding-grid design per IEEE 80, insulation coordination, and control-building layout Experience with protection and control for on-site generation (gas turbines, reciprocating engines, fuel cells) and battery energy storage systems, including anti-islanding, synchronizing, and microgrid transfer schemes Background in data center, hyperscaler, or other high-availability electrical distribution, and familiarity with critical-power topologies (2N, N+1, distributed redundant) Experience owning NERC PRC compliance evidence for a generation or transmission asset — settings basis documentation, misoperation reporting, and PRC-005 maintenance programs Proficiency with vendor relay engineering tools such as SEL AcSELerator, GE EnerVista, ABB PCM600, or Siemens DIGSI, and with IEC 61850 system configuration tools Designed IEC 61850 station- or process-bus systems with GOOSE-based protection or interlocking schemes Prior work at a utility, relay or switchgear manufacturer, protection-engineering consultancy, or hyperscaler serving large-load interconnections The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote-Friendly, United States 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 Training and serving frontier AI models requires compute infrastructure at a scale and density that pushes past what conventional data center designs were built to handle. The loads involved are large enough — and arrive fast enough — that utility supply alone often can't meet the need on the timeline required, and the step-load behavior of large accelerator clusters creates power-quality and ride-through demands that conventional backup-generation designs weren't built for. Anthropic's Data Center Infrastructure team is responsible for solving that problem: delivering facilities that can be energized early, ride through grid disturbances, and present a well-behaved load at the point of interconnection (POI). As a Data Center Power Generation & Microgrids Engineer, you'll own the behind-the-meter generation and storage architecture for Anthropic's data center portfolio. That means the on-site generation fleet — reciprocating engine gensets, gas turbines, fuel cells — and the battery energy storage systems that buffer load steps and provide ride-through. It means the microgrid layer that ties them together: islanding and resynchronization, black-start, load-shedding, and generation dispatch. And it means the grid side: interconnection studies and agreements, IEEE 1547/2800 compliance, and power quality at the point of interconnection. You'll also own our temporary- and bridging-generation strategies — the plans that let a site energize and start serving load before permanent utility service is available, and transition cleanly once it is. This is a deeply cross-functional role. You'll work closely with colleagues across the infrastructure team on where and how generation and storage tie into the site electrical distribution, controls, and SCADA, and with our hardware and compute teams to understand the load characteristics you're designing against. You'll be Anthropic's technical counterpart to on-site generation providers, BESS integrators, utilities, and ISOs/RTOs. Expect roughly 20–35% travel for design reviews, factory witness testing, and site startup. Responsibilities On-site generation engineering Own Anthropic's behind-the-meter generation architecture across the portfolio — prime-mover selection and sizing (reciprocating engines, gas turbines, fuel cells), paralleling topology, redundancy, fuel systems, and emissions controls — and maintain the generation basis of design and technical specifications that build partners and generation providers design against Set the day-one vs. day-N plant sizing and expansion strategy — what the plant needs on day one so it can be expanded or augmented later, and how to add units, storage, or a grid tie to a system already running Characterize the data center load for external generation partners — step changes, ramps, oscillation, fault behavior, and non-IT load — so providers can size and tune their plant against the real duty Model generation response against the load profile of large-scale ML training — step-load acceptance, block loading, transient frequency and voltage response, load rejection — and set the acceptance criteria (e.g., per ISO 8528-5) that generation packages are tested against Develop temporary- and bridging-generation strategies that deliver early site energization ahead of permanent utility service, including the sequencing, protection, and controls changes needed to transition from temporary to permanent power without stranding equipment or capacity Ensure generation designs meet NFPA 37, NFPA 110 where the plant provides emergency or legally required standby power, fuel-gas and fuel-storage codes (e.g., NFPA 54, NFPA 30), and applicable emissions requirements, and coordinate with environmental and permitting counterparts on the technical inputs to air permits Energy storage & microgrid architecture Size and specify battery energy storage systems for ride-through, step-load buffering, and power-quality support — including cell chemistry and enclosure selection, inverter selection (grid-forming vs. grid-following), UL 9540 listing, UL 9540A large-scale fire test data, and NFPA 855 installation requirements — and own the thermal and fire-protection interfaces Define the site microgrid topology and operating modes — grid-parallel, islanded, and black-start — and the transition logic between them, including load-shedding schemes, resynchronization criteria, and the conditions under which the site separates from and reconnects to the utility Specify the functional requirements for the microgrid controller — generation dispatch, set-point coordination across rotating and inverter-based sources, mode management — and drive its implementation, testing, and integration into site SCADA and the electrical power monitoring system (EPMS) Help define the protection and control requirements for generation and storage sources so that interconnection protection, anti-islanding, and source-transfer schemes are consistent from the generator terminals through the point of interconnection Grid interconnection & power quality Lead the technical side of utility interconnection for sites with on-site generation or storage — interconnection applications, studies, and agreements, ISO/RTO processes, IEEE 1547/2800 compliance, and interconnection protection Own power quality at the point of interconnection — flicker per IEEE 1453, harmonics per IEEE 519, voltage regulation, reactive-power and power-factor requirements — and design the generation, storage, and filtering mitigations needed to keep the site within its interconnection limits under real training-load behavior Run or critically review the power-system studies that support interconnection and microgrid design — load flow, short-circuit contribution from rotating and inverter-based sources, transient stability, motor-starting and step-load studies, and electromagnetic-transient studies where inverter controls matter Vendor diligence & delivery Lead technical due diligence on on-site generation providers, BESS integrators, and microgrid-controller vendors — evaluating equipment and controls on engineering merit, stress-testing performance and availability guarantees, and reviewing proposed architectures against Anthropic's basis of design Define the technical performance terms in energy-services agreements with on-site generation providers — availability, power quality, ramp, and ride-through, each with a definition, meter, test protocol, and acceptance criteria — working with energy commercial and legal counterparts Review and disposition design packages, submittals, shop drawings, and deviation requests from generation providers and their EPCs, and hold partners to Anthropic's reliability and maintainability requirements Support commissioning of generation, storage, and microgrid systems — witnessing factory and site acceptance tests, defining and observing integrated systems tests (islanding, resynchronization, black-start, load-step), and resolving field issues against design intent Manage concurrent generation and microgrid scopes across multiple sites, and contribute to the continuous improvement of Anthropic's generation and interconnection design standards as the portfolio and the technology both evolve You may be a good fit if you Have 10+ years of engineering experience in power generation, microgrids, battery energy storage, or utility interconnection, with substantial time spent on on-site or distributed generation for mission-critical, data center, or large industrial loads, and deep hands-on delivery experience in at least one of these areas (generation, storage, microgrids, or interconnection) Have deep hands-on experience with one or more generation technologies — reciprocating engine gensets (diesel and natural gas), gas turbines, or fuel cells — including sizing, paralleling, fuel systems, and emissions controls Understand the thermal generation asset classes — reciprocating engines across the size range (sub-MW through 10–20 MW units), small- and medium-frame combustion turbines, and combined cycles — and how each responds to fast load changes and holds stable islanded operation Understand battery energy storage sizing for a defined duty (ride-through, load-step buffering, peak shaving), inverter selection (grid-forming vs. grid-following), UL 9540 listing, UL 9540A test data, and NFPA 855 installation requirements Understand microgrid architecture end to end — islanding detection and transition, resynchronization, black-start, load-shedding, and generation dispatch Are fluent in interconnection standards and processes — IEEE 1547, IEEE 2800, utility interconnection requirements, and ISO/RTO study and queue processes Are comfortable running or critically reviewing power-system studies — load flow, short-circuit, transient stability, and power quality — in tools such as ETAP, SKM, PSS®E, PSCAD, or EasyPower Hold a bachelor's degree in Electrical Engineering, Power Engineering, or a closely related field, or have equivalent practical experience; Professional Engineer (PE) licensure is valued but not required Have worked directly with generation OEMs, BESS integrators, generation-as-a-service providers, or utilities, and can evaluate equipment and proposals on technical merit rather than datasheet claims Communicate clearly with technical peers, utilities, regulators, and non-specialist stakeholders, and are results-oriented with a bias toward practical solutions and a willingness to pick up work outside your core remit when the team needs it Strong candidates may also have Designed or delivered battery energy storage systems at MW scale Specified or commissioned a microgrid controller for a site that can island and resynchronize Taken at least one large load or generation interconnection from application through agreement HV/MV substation design experience — main one-line development, equipment specification, grounding, and layout — since on-site generation and storage tie in at the substation and the two scopes are tightly coupled A protection-engineering background covering generation and interconnection protection — relay selection and settings, anti-islanding schemes, and coordination between on-site sources and utility protection Experience integrating renewable generation (solar PV, wind) with storage into hybrid behind-the-meter plants Experience on the technical side of air permitting for stationary generation (e.g., Title V, NSR/PSD, or state equivalents) and emissions-control equipment selection Electromagnetic-transient (EMT) modeling experience in PSCAD or EMTP for inverter-based resource and microgrid-transition studies Direct experience with data center, hyperscaler, or other large-campus microgrids, or at a generation provider, BESS integrator, or developer serving those customers A track record of authoring generation or interconnection reference designs or standards that were adopted across multiple sites or by external partners The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Ukraine; Serbia; Yerevan; Spain; Slovakia; Slovenia; Poland Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize: Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction. Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered. What You’ll Do: Take the seat Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow. Build Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team. Own the outcome. Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number. Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here. Be credible with the customer’s engineers and their executives. Shape what we commit to before we commit to it. What You’ll Bring: Mindset Proactive and self-directed; identify problems before they're handed to you Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job B2+ English, comfortable collaborating across distributed, multicultural teams Client Engagement You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run Technical depth 7+ years building and running production systems. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Experience in making and defending architectural trade-off decisions Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release Model and agent monitoring, drift detection Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus Nice to have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution Experience in one of the industries: financial services, insurance, healthcare Consulting, professional services, or other embedded customer-facing delivery A2A: you can explain agent-to-agent interoperability AWS and Claude Code Certifications CI/CD pipeline experience (GitHub Actions, GitLab CI) Experience in an additional language (Go, TypeScript, or Rust) Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: North Macedonia; Montenegro; Moldova; Bulgaria; Czechia; Bosnia and Herzegovina; Croatia Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner , working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize: Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction. Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered. What You’ll Do: Take the seat Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow. Build Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team. Own the outcome. Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number. Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here. Be credible with the customer’s engineers and their executives. Shape what we commit to before we commit to it. What You’ll Bring: Mindset Proactive and self-directed; identify problems before they're handed to you Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job B2+ English, comfortable collaborating across distributed, multicultural teams Client Engagement You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run Technical depth 7+ years building and running production systems. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Experience in making and defending architectural trade-off decisions Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release Model and agent monitoring, drift detection Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus Nice to have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution Experience in one of the industries: financial services, insurance, healthcare Consulting, professional services, or other embedded customer-facing delivery A2A: you can explain agent-to-agent interoperability AWS and Claude Code Certifications CI/CD pipeline experience (GitHub Actions, GitLab CI) Experience in an additional language (Go, TypeScript, or Rust) Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: New York, New York; Manhattan, New York; Brooklyn, New York; Trenton, New Jersey; Yonkers, New york; New York City Metropolitan Area; Newark, New Jersey Workplace: remote Provectus is a Premier AWS partner and an Anthropic Strategic Partner, helping enterprises across Financial Services and Life Sciences design, build, and operate production AI systems. Our Forward Deployed Engineering model lets us embed with clients and deliver AI outcomes, not just advice. With offices in North America, LATAM, and EMEA, we partner with clients worldwide and are obsessed with reimagining how they operate and compete. We are looking for an Alliances Team Lead to own and grow Provectus's most strategic partnerships: Anthropic and AWS. This is a build-and-lead role — you will create the programs for our alliances function from the ground up. On the Anthropic side, you will run partner activation programs end to end: identify target accounts, align scope with Anthropic partner teams, coordinate delivery, and ensure funding milestones and closeout requirements are met. You will grow our standing in the Claude Partner Network and be the person inside Anthropic who advocates for Provectus. On the AWS side, you will manage the alliance, maintaining AI and generative AI competency requirements, keeping Premier Tier standing current, and building the co-sell motion with AWS field teams. There is also an opportunity to develop early-stage partnerships with GCP and others as the ecosystem evolves. You will lead a team and work directly with Provectus engineering, SO, and marketing leadership to turn partner programs into measurable pipeline. Responsibilities: Anthropic partnership Own the Anthropic partnership end-to-end — build and scale partner activation programs, manage funded enablement engagements from scoping through completion and reimbursement. Create repeatable playbooks for partner-funded customer activations: identify target accounts, align scope with Anthropic partner teams, coordinate delivery, and ensure funding milestones are met. Grow Provectus's standing in the Claude Partner Network; track program changes, tier requirements, and new co-marketing opportunities. Develop named executive relationships at Anthropic — field leadership, partner success, and product teams — who actively advocate for Provectus in joint accounts. AWS alliance Manage the AWS alliance day-to-day — keep Provectus current on Generative AI competency requirements, renewals, and program changes; maintain Premier Tier standing. Build and expand co-sell motion with AWS field teams — drive opportunity registration, joint account planning, and pipeline reviews with AWS partner sellers. Manage AWS funding programs; ensure Provectus maximises available program benefits. Team and cross-functional leadership Lead and develop a team of partner managers; set priorities, coach on partner engagement, and build the operating cadence for the alliances function. Work with sales, marketing, and delivery to turn partner programs into pipeline — co-marketing campaigns, joint solution offerings, and partner-sourced revenue. Represent Provectus at executive briefings and ecosystem events; bring relevant partner intelligence back to leadership. Ecosystem expansion Identify and develop early-stage partnerships with GCP and other emerging AI ecosystem players as the market evolves. Track the competitive alliance landscape — which SI competitors hold which partner tiers, where there are white spaces Provectus can occupy. What You Need to Succeed: 5–8+ years in technology alliances, partnerships, or channel roles, with meaningful time spent managing a hyperscaler relationship (Anthropic, AWS strongly preferred). Direct experience with partner programs: competencies, funding programs (MDF, MAP, or similar), co-sell mechanisms, and partner portals — hands-on, not just supervisory. Track record of building alliance programs from scratch — not just inheriting and running an existing book. Experience leading and developing a team; comfortable setting direction and coaching without a large management structure behind you. Comfortable operating at executive level with partners and customers, and hands-on enough to manage program mechanics personally when needed. Strong written and verbal communication — able to translate partner programs into clear internal playbooks and joint value propositions. Familiarity with the AI/ML ecosystem — enough to have credible conversations about implementation approaches and enterprise AI adoption challenges. Vertical depth in Financial Services or Life Sciences — Anthropic's and Provectus's primary enterprise target markets. Experience managing GCP, OpenAI, or other emerging AI ecosystem partnerships is preferred. Willingness to travel (up to 40%) for customer meetings, executive briefings, onsite workshops, conferences, and other business development activities. What success looks like: Anthropic activation programs running as a repeatable, funded motion with a growing pipeline of customer engagements quarter over quarter. AWS AI competency requirements current, with Premier Tier standing maintained and co-sell pipeline growing quarter over quarter. Named executive relationships at both partners who actively advocate for Provectus in joint accounts. An alliances team with clear ownership, operating cadence, and measurable partner-sourced revenue contribution. About Provectus: Provectus is an Artificial Intelligence consultancy and solutions provider, helping businesses achieve their objectives through AI and data-driven innovation organization-wide in such industries as Financial Services, Insurance, Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, and Manufacturing. We are recognized by industry analysts as a leading provider of AI solutions across key business domains. At Provectus, we value innovation, ownership, and collaboration — and we are looking for people who want to grow with us and make an impact. Why Join Us: Genuine autonomy and the trust to operate in your lane without micromanagement. World-class AI/ML delivery capability behind you — a team that can actually execute on what you sell or source. You will shape how a fast-growing AI consultancy goes to market at a defining moment for enterprise AI adoption. High-impact role with direct visibility to leadership. Strong earning potential with performance-based bonuses. Opportunity to work with cutting-edge AI and cloud solutions. B2B contract model or full-time model. OTE range $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, abilities of the applicant, and alignment with market data. Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan.

Location: Philadelphia, Pennsylvania; Massachusetts; Maryland; Connecticut; Rhode Island; Delaware; New Jersey Workplace: remote Provectus is a Premier AWS partner and an Anthropic Strategic Partner, helping enterprises across Financial Services and Life Sciences design, build, and operate production AI systems. Our Forward Deployed Engineering model lets us embed with clients and deliver AI outcomes, not just advice. With offices in North America, LATAM, and EMEA, we partner with clients worldwide and are obsessed with reimagining how they operate and compete. We are looking for an Alliances Team Lead to own and grow Provectus's most strategic partnerships: Anthropic and AWS. This is a build-and-lead role — you will create the programs for our alliances function from the ground up. On the Anthropic side, you will run partner activation programs end to end: identify target accounts, align scope with Anthropic partner teams, coordinate delivery, and ensure funding milestones and closeout requirements are met. You will grow our standing in the Claude Partner Network and be the person inside Anthropic who advocates for Provectus. On the AWS side, you will manage the alliance, maintaining AI and generative AI competency requirements, keeping Premier Tier standing current, and building the co-sell motion with AWS field teams. There is also an opportunity to develop early-stage partnerships with GCP and others as the ecosystem evolves. You will lead a team and work directly with Provectus engineering, SO, and marketing leadership to turn partner programs into measurable pipeline. Responsibilities: Anthropic partnership Own the Anthropic partnership end-to-end — build and scale partner activation programs, manage funded enablement engagements from scoping through completion and reimbursement. Create repeatable playbooks for partner-funded customer activations: identify target accounts, align scope with Anthropic partner teams, coordinate delivery, and ensure funding milestones are met. Grow Provectus's standing in the Claude Partner Network; track program changes, tier requirements, and new co-marketing opportunities. Develop named executive relationships at Anthropic — field leadership, partner success, and product teams — who actively advocate for Provectus in joint accounts. AWS alliance Manage the AWS alliance day-to-day — keep Provectus current on Generative AI competency requirements, renewals, and program changes; maintain Premier Tier standing. Build and expand co-sell motion with AWS field teams — drive opportunity registration, joint account planning, and pipeline reviews with AWS partner sellers. Manage AWS funding programs; ensure Provectus maximises available program benefits. Team and cross-functional leadership Lead and develop a team of partner managers; set priorities, coach on partner engagement, and build the operating cadence for the alliances function. Work with sales, marketing, and delivery to turn partner programs into pipeline — co-marketing campaigns, joint solution offerings, and partner-sourced revenue. Represent Provectus at executive briefings and ecosystem events; bring relevant partner intelligence back to leadership. Ecosystem expansion Identify and develop early-stage partnerships with GCP and other emerging AI ecosystem players as the market evolves. Track the competitive alliance landscape — which SI competitors hold which partner tiers, where there are white spaces Provectus can occupy. What You Need to Succeed: 5–8+ years in technology alliances, partnerships, or channel roles, with meaningful time spent managing a hyperscaler relationship (Anthropic, AWS strongly preferred). Direct experience with partner programs: competencies, funding programs (MDF, MAP, or similar), co-sell mechanisms, and partner portals — hands-on, not just supervisory. Track record of building alliance programs from scratch — not just inheriting and running an existing book. Experience leading and developing a team; comfortable setting direction and coaching without a large management structure behind you. Comfortable operating at executive level with partners and customers, and hands-on enough to manage program mechanics personally when needed. Strong written and verbal communication — able to translate partner programs into clear internal playbooks and joint value propositions. Familiarity with the AI/ML ecosystem — enough to have credible conversations about implementation approaches and enterprise AI adoption challenges. Vertical depth in Financial Services or Life Sciences — Anthropic's and Provectus's primary enterprise target markets. Experience managing GCP, OpenAI, or other emerging AI ecosystem partnerships is preferred. Willingness to travel (up to 40%) for customer meetings, executive briefings, onsite workshops, conferences, and other business development activities. What success looks like: Anthropic activation programs running as a repeatable, funded motion with a growing pipeline of customer engagements quarter over quarter. AWS AI competency requirements current, with Premier Tier standing maintained and co-sell pipeline growing quarter over quarter. Named executive relationships at both partners who actively advocate for Provectus in joint accounts. An alliances team with clear ownership, operating cadence, and measurable partner-sourced revenue contribution. About Provectus: Provectus is an Artificial Intelligence consultancy and solutions provider, helping businesses achieve their objectives through AI and data-driven innovation organization-wide in such industries as Financial Services, Insurance, Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, and Manufacturing. We are recognized by industry analysts as a leading provider of AI solutions across key business domains. At Provectus, we value innovation, ownership, and collaboration — and we are looking for people who want to grow with us and make an impact. Why Join Us: Genuine autonomy and the trust to operate in your lane without micromanagement. World-class AI/ML delivery capability behind you — a team that can actually execute on what you sell or source. You will shape how a fast-growing AI consultancy goes to market at a defining moment for enterprise AI adoption. High-impact role with direct visibility to leadership. Strong earning potential with performance-based bonuses. Opportunity to work with cutting-edge AI and cloud solutions. B2B contract model or full-time model. OTE range $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, abilities of the applicant, and alignment with market data. Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan.

Location: New York; New York, New York; New York City Metropolitan Area; Brooklyn, New York; Manhattan, New York; Yonkers, New york Workplace: remote We’re seeking an energetic Business Development Manager to join our growing team and help drive market expansion. This is a hunter-oriented role focused on developing pipeline, generating new opportunities, and engaging with mid-market and enterprise prospects. You’ll work closely with leadership but operate with autonomy — this hire is for someone who proactively finds and closes opportunities rather than waiting for direction. This role is ideal for candidates with experience selling services/solutions (consulting, technical services, technology partnerships) rather than strictly product sales, and who thrive in an active, travel-friendly environment. Responsibilities: Source and qualify new business opportunities in North America. Build and manage a client pipeline across multiple verticals. Proactively reach out to prospects via outbound (email, calls, social). Coordinate discovery & qualification conversations. Partner with leadership to close deals. Attend industry events, conferences, and client meetings (travel expected 30% of the time). What You Need to Succeed: 3-7 years of sales or BDM experience in consulting/services-led environments. Proven ability to prospect, engage, and qualify leads independently. Experience with selling technology services and managing negotiations with clients. Highly motivated, results-driven, and coachable. Comfortable working without detailed day-to-day supervision. Willing to travel for client meetings and events. About Provectus: Provectus is an Artificial Intelligence consultancy and solutions provider , helping businesses achieve their objectives through AI and data-driven innovation organization-wide in such industries as Financial Services, Insurance, Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, and Manufacturing. We are recognized by industry analysts as a leading provider of AI solutions across key business domains. At Provectus, we value innovation, ownership, and collaboration — and we are looking for people who want to grow with us and make an impact. Why Join Us: High-impact role with direct visibility to leadership. Strong earning potential with performance-based bonuses. Opportunity to work with cutting-edge AI and cloud solutions. B2B contract model or full-time model. OTE range $120k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, abilities of the applicant, and alignment with market data. Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan.

Location: Philadelphia, Pennsylvania; Massachusetts; Maryland; Connecticut; Rhode Island; Delaware; New Jersey Workplace: remote We’re seeking an energetic Business Development Manager to join our growing team and help drive market expansion. This is a hunter-oriented role focused on developing pipeline, generating new opportunities, and engaging with mid-market and enterprise prospects. You’ll work closely with leadership but operate with autonomy — this hire is for someone who proactively finds and closes opportunities rather than waiting for direction. This role is ideal for candidates with experience selling services/solutions (consulting, technical services, technology partnerships) rather than strictly product sales, and who thrive in an active, travel-friendly environment. Responsibilities: Source and qualify new business opportunities in North America. Build and manage a client pipeline across multiple verticals. Proactively reach out to prospects via outbound (email, calls, social). Coordinate discovery & qualification conversations. Partner with leadership to close deals. Attend industry events, conferences, and client meetings (travel expected 40% of the time). What You Need to Succeed: 3-7 years of sales or BDM experience in consulting/services-led environments. Proven ability to prospect, engage, and qualify leads independently. Experience with selling technology services and managing negotiations with clients. Highly motivated, results-driven, and coachable. Comfortable working without detailed day-to-day supervision. Willing to travel for client meetings and events. About Provectus: Provectus is an Artificial Intelligence consultancy and solutions provider , helping businesses achieve their objectives through AI and data-driven innovation organization-wide in such industries as Financial Services, Insurance, Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, and Manufacturing. We are recognized by industry analysts as a leading provider of AI solutions across key business domains. At Provectus, we value innovation, ownership, and collaboration — and we are looking for people who want to grow with us and make an impact. Why Join Us: High-impact role with direct visibility to leadership. Strong earning potential with performance-based bonuses. Opportunity to work with cutting-edge AI and cloud solutions. B2B contract model or full-time model. OTE range $120k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, abilities of the applicant, and alignment with market data. Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan.

Location: Philadelphia, Pennsylvania; Massachusetts; Maryland; Connecticut; Rhode Island; Delaware; New Jersey Workplace: remote Provectus is a Premier AWS partner and an Anthropic Strategic Partner, helping enterprises across Financial Services and Life Sciences design, build, and operate production AI systems. Our Forward Deployed Engineering model lets us embed with clients and deliver AI outcomes, not just advice. With offices in North America, LATAM, and EMEA, we partner with clients worldwide and are obsessed with reimagining how they operate and compete. We are looking for a Business Development & Partner Manager to own two complementary revenue motions simultaneously: converting partner-sourced leads into Provectus clients, and building a self-sourced pipeline from scratch. The first motion sits at the heart of our Anthropic and AWS partnership. They share qualified enterprise leads with us. Your job is to receive those leads, run the full sales cycle, and close them — making Provectus the AI implementation partner of choice for Anthropic's enterprise accounts. Beyond converting inbound leads, you will actively grow the relationship: joint pipeline reviews, co-marketing, partner tier maintenance, and expanding the number of Anthropic field reps who think of Provectus first when they have an implementation need. The second motion is yours to own. You will prospect independently, build relationships, and close deals with enterprise accounts in Financial Services and Life Sciences without a partner assist — operating as a true full-cycle business developer. Responsibilities: New logo hunting Prospect independently into enterprise accounts in target verticals (FSI, Life Sciences) using outbound, networking, events, and referrals. Run the full sales cycle: discovery, solution scoping, proposal, negotiation, close. Build and maintain a personal network of enterprise decision-makers and economic buyers on the East Coast. Partner motion — Anthropic channel Act as Provectus's primary point of contact with Anthropic's partner and field sales teams. Receive, qualify, and own enterprise leads shared by Anthropic; act as the primary point of contact from first conversation to signed SOW. Identify new co-sell and joint go-to-market opportunities within Anthropic's product and field motion. Maintain a healthy joint pipeline with Anthropic's partner and sales teams; lead quarterly business reviews and co-sell planning sessions. Translate Anthropic's product roadmap and partnership incentives into compelling client propositions. Represent Provectus at Anthropic partner events, executive briefings, and ecosystem calls. Drive partner tier maintenance and upgrade — certifications, co-marketing activations, case study production. Cross-functional collaboration Work with Provectus delivery leads and Architects to scope proposals accurately — you are selling consulting engagements, not software licenses. Feed market intelligence — buyer objections, competitive dynamics, vertical patterns — back to leadership and marketing. What You Need to Succeed: 3-7 years of experience in business development, partner/alliance management — with at least part of that in a consulting firm. Experience converting partner-sourced leads through a full enterprise sales cycle (discovery to signed SOW). Demonstrated ability to run a full sales cycle independently: prospecting through close, without dedicated BDR support. Experience selling complex, multi-month consulting engagements (statement-of-work deals, not SaaS subscriptions). Excellent executive-level communication skills — written, verbal, and in-room presence at C-suite and VP level. Experience in Financial Services (banking, insurance, capital markets) or Life Sciences (pharma, biotech). Experience in selling AI/ML services, LLM-based products, or cloud data. Willingness to travel (up to 30%) for customer meetings, executive briefings, onsite workshops, conferences, and other business development activities. Proven track record managing an Anthropic, AWS, or GCP partner relationship — co-selling, joint pipeline, MDF, or co-marketing would be a plus. About Provectus: Provectus is an Artificial Intelligence consultancy and solutions provider, helping businesses achieve their objectives through AI and data-driven innovation organization-wide in such industries as Financial Services, Insurance, Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, and Manufacturing. We are recognized by industry analysts as a leading provider of AI solutions across key business domains. At Provectus, we value innovation, ownership, and collaboration — and we are looking for people who want to grow with us and make an impact. Why Join Us: Work at the intersection of two of the most powerful AI partnerships in the industry — Anthropic and AWS. A world-class AI/ML team that can actually execute on what you sell. Shape how a fast-growing AI consultancy goes to market at a defining moment for enterprise AI adoption. High-impact role with direct visibility to leadership. Strong earning potential with performance-based bonuses. Opportunity to work with cutting-edge AI and cloud solutions. B2B contract model or full-time model. OTE range $120k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, abilities of the applicant, and alignment with market data. Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan.

Location: New York, New York; Manhattan, New York; Brooklyn, New York; Trenton, New Jersey; Yonkers, New york; New York City Metropolitan Area; Newark, New Jersey Workplace: remote Provectus is a Premier AWS partner and an Anthropic Strategic Partner, helping enterprises across Financial Services and Life Sciences design, build, and operate production AI systems. Our Forward Deployed Engineering model lets us embed with clients and deliver AI outcomes, not just advice. With offices in North America, LATAM, and EMEA, we partner with clients worldwide and are obsessed with reimagining how they operate and compete. We are looking for a Business Development & Partner Associate to own two complementary revenue motions simultaneously: converting partner-sourced leads into Provectus clients, and building a self-sourced pipeline from scratch. The first motion sits at the heart of our Anthropic and AWS partnership. They share qualified enterprise leads with us. Your job is to receive those leads, run the full sales cycle, and close them — making Provectus the AI implementation partner of choice for Anthropic's enterprise accounts. Beyond converting inbound leads, you will actively grow the relationship: joint pipeline reviews, co-marketing, partner tier maintenance, and expanding the number of Anthropic field reps who think of Provectus first when they have an implementation need. The second motion is yours to own. You will prospect independently, build relationships, and close deals with enterprise accounts in Financial Services and Life Sciences without a partner assist — operating as a true full-cycle business developer. Responsibilities: New logo hunting Prospect independently into enterprise accounts in target verticals (FSI, Life Sciences) using outbound, networking, events, and referrals. Run the full sales cycle: discovery, solution scoping, proposal, negotiation, close. Build and maintain a personal network of enterprise decision-makers and economic buyers on the East Coast. Partner motion — Anthropic channel Act as Provectus's primary point of contact with Anthropic's partner and field sales teams. Receive, qualify, and own enterprise leads shared by Anthropic; act as the primary point of contact from first conversation to signed SOW. Identify new co-sell and joint go-to-market opportunities within Anthropic's product and field motion. Maintain a healthy joint pipeline with Anthropic's partner and sales teams; lead quarterly business reviews and co-sell planning sessions. Translate Anthropic's product roadmap and partnership incentives into compelling client propositions. Represent Provectus at Anthropic partner events, executive briefings, and ecosystem calls. Drive partner tier maintenance and upgrade — certifications, co-marketing activations, case study production. Cross-functional collaboration Work with Provectus delivery leads and Architects to scope proposals accurately — you are selling consulting engagements, not software licenses. Feed market intelligence — buyer objections, competitive dynamics, vertical patterns — back to leadership and marketing. What You Need to Succeed: 3-7 years of experience in business development, partner/alliance management — with at least part of that in a consulting firm. Experience converting partner-sourced leads through a full enterprise sales cycle (discovery to signed SOW). Demonstrated ability to run a full sales cycle independently: prospecting through close, without dedicated BDR support. Experience selling complex, multi-month consulting engagements (statement-of-work deals, not SaaS subscriptions). Excellent executive-level communication skills — written, verbal, and in-room presence at C-suite and VP level. Experience in Financial Services (banking, insurance, capital markets) or Life Sciences (pharma, biotech). Experience in selling AI/ML services, LLM-based products, or cloud data. Willingness to travel (up to 30%) for customer meetings, executive briefings, onsite workshops, conferences, and other business development activities. Proven track record managing an Anthropic, AWS, or GCP partner relationship — co-selling, joint pipeline, MDF, or co-marketing would be a plus. About Provectus: Provectus is an Artificial Intelligence consultancy and solutions provider, helping businesses achieve their objectives through AI and data-driven innovation organization-wide in such industries as Financial Services, Insurance, Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, and Manufacturing. We are recognized by industry analysts as a leading provider of AI solutions across key business domains. At Provectus, we value innovation, ownership, and collaboration — and we are looking for people who want to grow with us and make an impact. Why Join Us: Work at the intersection of two of the most powerful AI partnerships in the industry — Anthropic and AWS. A world-class AI/ML team that can actually execute on what you sell. Shape how a fast-growing AI consultancy goes to market at a defining moment for enterprise AI adoption. High-impact role with direct visibility to leadership. Strong earning potential with performance-based bonuses. Opportunity to work with cutting-edge AI and cloud solutions. B2B contract model or full-time model. OTE range $120k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, abilities of the applicant, and alignment with market data. Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan.

Location: Boston, MA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the team Anthropic's Life Sciences team is building a world-class research group focused on making fundamental biological discoveries. The team combines cutting-edge AI with hands-on biological research, positioning Anthropic at the forefront of AI-accelerated scientific discovery. About the role We are hiring a Research Operations Lead to be the operational backbone of our team: the person who makes sure scientists can walk in every morning and get straight to science. You'll take on the operational systems we've started — procurement, inventory, safety, equipment, space — make them better, and scale them as the lab and its needs grow. We're hiring for trajectory as much as for what you've already done: the scope of this role will grow with the size of the team, and we want someone who's excited by that. This role is a rare opportunity to build the operational foundation of Anthropic's biology team and to grow with it. The systems you put in place will shape how a frontier AI company does experimental biology for years to come. If you're energized by high-ownership operational work in the service of ambitious science, we'd love to hear from you. Key responsibilities Own day-to-day operations end to end: ordering and inventory, equipment scheduling and upkeep, consumables, shipping and receiving, and general space organization Build on and extend the operational systems a growing group needs: procurement workflows, inventory and sample tracking, equipment maintenance and calibration schedules, onboarding and training, SOPs Manage facilities and space: coordinate buildouts, moves, and equipment installs; act as the primary interface to building management, contractors, and Anthropic's central Workplace and IT teams Own the operating budget: track spend against plan, run the capital equipment purchasing process, and partner with Finance on forecasting and reporting Manage vendor and supplier relationships: including contract research organizations: source and qualify vendors, negotiate quotes and service contracts, schedule preventive maintenance and field-service visits, and hold suppliers to their commitments Minimum qualifications Have managed the day-to-day operations of a life sciences lab — equipment, inventory, ordering, safety, space, and scheduling Have hands-on procurement and vendor management experience: sourcing suppliers, negotiating quotes and service contracts, and coordinating field-service and maintenance technicians Have tracked and managed an operating budget: purchase orders, invoices, spend-vs-plan, and capital requests Preferred qualifications Are the person everyone in your group already comes to when something is broken, missing, late, or unclear — and you like being that person Enjoy engaging with scientists on the science itself — you want to understand what's happening at the bench well enough to anticipate needs Are results-oriented and practical and pick up slack even when it goes outside your job description Enjoy a role that stretches from the hands-on to the strategic, and are comfortable when priorities shift quickly and feedback is direct Lab operations or lab management experience in a biotech, pharma, diagnostics, or life-sciences startup environment, including exposure to how those organizations build new functions and processes end to end A degree in the life sciences and prior research experience at the bench People-management experience: hiring, onboarding, and supervising operations or facilities staff Experience supporting a team through significant growth in headcount, footprint, or capability, including utilities, permitting, and equipment Familiarity with liquid-handling platforms, including their service, calibration, and consumable needs Experience selecting and administering inventory management, sample tracking, equipment scheduling, or ELN systems Capital equipment lifecycle management experience — evaluation, purchase, qualification (IQ/OQ/PQ), service contracts, and decommissioning Experience with regulated shipping and receiving of biological materials, including import/export, permits, and material transfer agreements Experience using AI tools for efficient team and process management (e.g., Claude Cowork) 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: $210,000 — $260,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Berlin, Germany; München, Germany Workplace: Hybrid At Rohlik Group, we are building the future of e-grocery for over a million active customers across the Czech Republic, Germany, Austria, Hungary, and Romania. We own our entire technology stack — from storefronts and apps to automated fulfillment centers and last-mile logistics. Within the Customer Experience (CUEX) domain, we own every touchpoint a customer interacts with, from the homepage to checkout and real-time order tracking across web, iOS, and Android. Our five storefronts run on a single product spine with localized content, pricing, and brand layers. We operate as a deliberately tight-knit, high-performing team where a Product Owner, Engineering Manager, Tech Lead, two Product Designers, and a dedicated full-stack engineering team ship fast, iterate constantly, and take full ownership of the end-to-end user journey. Most interface failures in e-commerce aren’t layout issues — they are communication problems: what is said, in what order, and on which screen. As Senior Product Design Engineer, you will own the end-to-end design of all customer-facing surfaces across five markets. You will also manage our design system, Maia (our AI shopping assistant), and provide the design guidance that powers our automated coding workflows. WHY THIS ROLE IS EXCITING - High-impact Group scope: Design every customer-facing touchpoint across web, iOS, and Android for five international markets, impacting millions of orders. - True end-to-end ownership: Lead the complete lifecycle of product design — from initial problem definition and customer research to shipped A/B tests and real-world performance analysis. - AI-first execution: Rohlik is an AI-first company. You’ll own the interface design for Maia, our AI shopping assistant, and build the structured design system guidance used by AI coding agents to generate on-brand code without hand-coding interfaces. - Direct customer engagement: Lead user research and usability testing sessions directly with real shoppers, rather than commissioning external agencies or receiving filtered insights. - High accountability, low overhead: Work in a small, autonomous team where design decisions move straight to production and work that doesn't deliver measured impact is honestly reverted. WHAT YOU WILL OWN AND DELIVER - Customer Surfaces: Own the end-to-end design and UX strategy across web, iOS, and Android for all core journey stages: homepage, search & browse, product pages, basket, slot selection, checkout, and order tracking. - Design System as a Product: Own component architecture, design tokens, patterns, and documentation, ensuring our coding agents have precise design guidance to generate accurate interfaces. - AI Experience Design: Define the interaction patterns for Maia (our AI shopping assistant), governing when it intervenes, how it presents information, and how it hands over to human support. - Experimentation & Analysis: Drive hypotheses, prototype rapidly, and evaluate A/B test results objectively — scaling successful experiments and sunsetting features that miss target performance. - Direct User Research: Conduct qualitative interviews, usability tests, and field research directly with customers to continuously uncover friction points. - Cross-Functional Partnership: Collaborate closely with the Product Owner, Engineering Manager, Tech Lead, and your peer product designer, while providing design input to Commercial, Marketing, and Operations. WHAT WE ARE LOOKING FOR - 5+ years of experience designing consumer-facing digital products with a strong portfolio of shipped work across both web and native mobile (iOS and Android). - Advanced Figma & Design System expertise: Deep, hands-on experience building, scaling, and architecting multi-platform design systems at the token and component level. - Data-fluent mindset: Ability to read and rigorously interpret A/B testing data, distinguishing genuine impact from vanity metrics. - Fluency with AI tooling: Practical experience integrating AI tools into modern design, prototyping, and design system workflows, along with a clear view of where conversational AI adds real interface value. - User research expertise: Demonstrated experience designing, running, and analyzing qualitative usability sessions directly with end users. - Strong product reasoning: Excellent communication skills in English (C1 level or above), with the ability to articulate the strategic and behavioral rationale behind design decisions. Nice-to-haves: - Experience designing production-grade AI or assistant-driven interfaces. - Experience contributing directly to code at the component or token level. - Background in e-commerce, quick-commerce, online grocery, or last-mile delivery. - First-hand familiarity with how German customers shop. - Fluency in German or Czech. WHAT’S IN IT FOR YOU - Fair pay, transparent, stable compensation A strong fixed salary with clear rules. No bonus politics. Great work is rewarded openly and fairly. - Good food options, fresh, every day Enjoy subsidised meals/fresh food options in the office and regular refreshments like drinks, fruit, and snacks that keep you energized. - Life beyond work, hybrid work & real flexibility Three days in the office and the rest where it works best for you. Take time off when you need it with paid vacation days above statutory and flexible scheduling. - Grow with Knuspr every day - we move fast, and so can you. Learn, experiment, and take ownership from day one. Every challenge is a chance to grow. - Recognition & community - Your impact is seen and appreciated. You can celebrate colleagues through Bonusly peer-recognition credits and feel supported by a team that works hard and wins together. - Health & wellbeing - Access to our UNIQA private insurance option and supportive wellbeing culture, keeping you healthy inside and outside of work. - Mobility & convenience - Company car available for selected management-level roles and fuel support for regular WH travel. - Premium membership - Free Knuspr Premium membership with exclusive benefits. - Referral rewards - Recommend great people and get rewarded through our group referral program. - Team spirit - We organize team events, celebrations, and moments to connect because work is better when we win together. #LI-ML1 #Knuspr

Location: Prague, Czech Republic; Group career pages Workplace: Hybrid At Rohlik Group, we are building the future of e-grocery for over a million active customers across the Czech Republic, Germany, Austria, Hungary, and Romania. We own our entire technology stack — from storefronts and apps to automated fulfillment centers and last-mile logistics. Within the Customer Experience (CUEX) domain, we own every touchpoint a customer interacts with, from the homepage to checkout and real-time order tracking across web, iOS, and Android. Our five storefronts run on a single product spine with localized content, pricing, and brand layers. We operate as a deliberately tight-knit, high-performing team where a Product Owner, Engineering Manager, Tech Lead, two Product Designers, and a dedicated full-stack engineering team ship fast, iterate constantly, and take full ownership of the end-to-end user journey. Most interface failures in e-commerce aren’t layout issues — they are communication problems: what is said, in what order, and on which screen. As Senior Product Design Engineer, you will own the end-to-end design of all customer-facing surfaces across five markets. You will also manage our design system, Maia (our AI shopping assistant), and provide the design guidance that powers our automated coding workflows. WHY THIS ROLE IS EXCITING - High-impact Group scope: Design every customer-facing touchpoint across web, iOS, and Android for five international markets, impacting millions of orders. - True end-to-end ownership: Lead the complete lifecycle of product design — from initial problem definition and customer research to shipped A/B tests and real-world performance analysis. - AI-first execution: Rohlik is an AI-first company. You’ll own the interface design for Maia, our AI shopping assistant, and build the structured design system guidance used by AI coding agents to generate on-brand code without hand-coding interfaces. - Direct customer engagement: Lead user research and usability testing sessions directly with real shoppers, rather than commissioning external agencies or receiving filtered insights. - High accountability, low overhead: Work in a small, autonomous team where design decisions move straight to production and work that doesn't deliver measured impact is honestly reverted. WHAT YOU WILL OWN AND DELIVER - Customer Surfaces: Own the end-to-end design and UX strategy across web, iOS, and Android for all core journey stages: homepage, search & browse, product pages, basket, slot selection, checkout, and order tracking. - Design System as a Product: Own component architecture, design tokens, patterns, and documentation, ensuring our coding agents have precise design guidance to generate accurate interfaces. - AI Experience Design: Define the interaction patterns for Maia (our AI shopping assistant), governing when it intervenes, how it presents information, and how it hands over to human support. - Experimentation & Analysis: Drive hypotheses, prototype rapidly, and evaluate A/B test results objectively — scaling successful experiments and sunsetting features that miss target performance. - Direct User Research: Conduct qualitative interviews, usability tests, and field research directly with customers to continuously uncover friction points. - Cross-Functional Partnership: Collaborate closely with the Product Owner, Engineering Manager, Tech Lead, and your peer product designer, while providing design input to Commercial, Marketing, and Operations. WHAT WE ARE LOOKING FOR - 5+ years of experience designing consumer-facing digital products with a strong portfolio of shipped work across both web and native mobile (iOS and Android). - Advanced Figma & Design System expertise: Deep, hands-on experience building, scaling, and architecting multi-platform design systems at the token and component level. - Data-fluent mindset: Ability to read and rigorously interpret A/B testing data, distinguishing genuine impact from vanity metrics. - Fluency with AI tooling: Practical experience integrating AI tools into modern design, prototyping, and design system workflows, along with a clear view of where conversational AI adds real interface value. - User research expertise: Demonstrated experience designing, running, and analyzing qualitative usability sessions directly with end users. - Strong product reasoning: Excellent communication skills in English (C1 level or above), with the ability to articulate the strategic and behavioral rationale behind design decisions. Nice-to-haves: - Experience designing production-grade AI or assistant-driven interfaces. - Experience contributing directly to code at the component or token level. - Background in e-commerce, quick-commerce, online grocery, or last-mile delivery. - First-hand familiarity with how German customers shop. - Fluency in German or Czech. WHAT’S IN IT FOR YOU - Fair reward - You’ll get a strong fixed salary, no bonus games, no politics. Great work is rewarded clearly and fairly. - Good food every day - You’ll enjoy a free lunch every day and fresh fruit & veggies in the office. Because good food fuels great work. - Life, not just work - You’ll have real flexibility three days in the office, 2 days at the Home Office where it suits you. And unlimited paid vacation based on trust. - Personal growth - You’ll grow as fast as Rohlik does. Every challenge is a chance to learn and make an impact. - Real impact - What you do here matters. You’ll see your work changing how people eat and live from day one. - Recognition among colleagues - Your effort won’t go unnoticed. You can recognise others (and be recognised) through peer credits to use in our internal cafeteria. - Xtra membership - You’ll get free Xtra membership and 10% cashback on everything you buy on Rohlik.cz http://Rohlik.cz. - Sport & wellbeing - You’ll stay active with company sports challenges or a subsidised Multisport card. - A team that sticks together - You’ll work with people who move fast, support each other and celebrate wins together. - If this sounds like you - You’re someone who takes ownership, acts fast and gets things done. Ready to bake something great with us? #LI-ML1

Location: Espoo Workplace: Hybrid ROLE HIGHLIGHTS: - Engineering Team Lead (Geospatial Analytics) - Location: Espoo, Finland. Relocation to Finland required - Department: Product Engineering, Solutions - Reports to: Engineering Manager, Geospatial Product Engineering - Employment type: Permanent - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS:   As Engineering Team Lead (Geospatial Analytics), you'll own a product engineering team that turns remote sensing and auxiliary data into fast, reliable insight when natural catastrophes happen. The team currently supports our Wind, Earthquake and Landslide products and brings together analytics (SAR, Machine learning / Data Science) and software engineers. You will work in tandem with the Product Manager to decide what to build and why, and closely with Operations to make sure the products perform during live events.Your decisions shape how several products work, so you'll own the product’s engineering domain end to end: analytics that serve several products at once, built to the level the problem needs and no further. You will be hands-on, which keeps your technical judgement credible and your feedback specific.     WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.   ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.   ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.   Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES   - Lead and own the product engineering team: hiring, growth, performance and wellbeing of the team members - Own the team's technical direction across analytics and engineering, taking work from research prototype to production systems that run reliably against customer commitments. - Work in tandem with the Product Manager on roadmap and priorities, turning customer needs into analytics capability. - Design shared change detection analytics that serve multiple products in the team’s portfolio - Collaborate closely with Operations on event response, so that delivery workflows, latency and quality hold up when it matters. - Contribute directly to analytical development (SAR, geospatial data science / ML), validation and code. - Set and maintain scientific and engineering standards across the team, including review practice, validation rigour, testing and documentation. - Stakeholder management - including Product Engineering leadership and different product stakeholders   WHAT WE’RE LOOKING FOR Must haves: - Master’s or PhD in Remote Sensing, Machine Learning, Data Science, Electrical Engineering, Geoscience, Physics, Computer Science or a related field, or equivalent experience. - Experience in hands-on leadership as a line manager or tech lead, with a track record of delivery and examples of people who grew under your leadership. - Experience working closely with product and operations teams in a flow-based, outcome-focused way, including giving direct feedback constructively and explaining technical trade-offs to non-technical stakeholders. - A record of taking analytics from prototype to reliable production against latency, accuracy and uptime targets, with sound judgement on when a solution is good enough. - Experience building, validating and deploying ML models or analytical pipelines based on SAR or other remote sensing imagery for tasks such as damage assessment, change detection or object detection. This includes working with noisy or sparse labels, validating against ground truth such as field surveys or claims data, and monitoring model performance in production. - A solid grasp of SAR principles, including how backscatter responds to structural change in built environments, and applied experience in change detection using amplitude, coherence or interferometric (InSAR) methods. - Strong Python skills and experience applying modern engineering practice (Git, code review, testing, CI, documentation), deployed with Docker on AWS. Ability to lead cross-functional teams.   Nice to haves: - Experience fusing remote sensing imagery with auxiliary data, such as weather, terrain models or building attributes, to improve model performance. - Experience using geospatial foundation models and embeddings (e.g. AlphaEarth Foundations) for tasks such as classification, similarity search or change detection. - Experience with natural hazards, disaster response, insurance or emergency management use cases. - Hands-on use of AI-assisted development tools in your daily engineering work. - A publication or patent record, or other evidence of sustained technical contribution.   APPLICATION PROCESS - TA Interview - Hiring Manager Interview - Take Home Task - Panel Interview - Department Lead Interview - Final Interview with SVP of Solutions WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.   OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Bulgaria Workplace: remote Finom is a fast-growing European tech startup, headquartered in Amsterdam, on a mission to revolutionize the financial landscape for entrepreneurs globally. We are developing an all-in-one financial B2B solution that seamlessly integrates banking functions, accounting, financial management, and invoicing into a mobile-first platform.   Following a significant €115 million Series C equity round, bringing our total funding to approximately $346 million, we are expanding aggressively across key EU markets (Germany, France, Netherlands, Italy, Spain). We go beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, to simplify financial management for small and medium-sized businesses.   At Finom, we empower our employees to make a real difference. We nurture an innovative and inspiring environment where bold ideas thrive, prioritizing thorough research, swift implementation, and ensuring every effort benefits our users, partners, and our business as a whole.   Engineering Manager - Product   We're looking for an Engineering Manager who's both a technical leader and a product builder. You'll guide a cross-functional team (5-10 engineers across backend, frontend, mobile, and QA) in delivering products that create real value for hundreds of thousands of businesses across Europe. What You Will Be Doing You're a seasoned technical leader with strong engineering roots and a track record of building teams that ship products that matter. You communicate clearly with everyone – engineers, product managers, executives – and you're genuinely curious about the product, the users, the business, and how your team's work drives real impact. You don't just manage delivery. You challenge problem framing with your PM partner, ensure the team solves the right problems, and think in terms of business outcomes, not just technical outputs. You're comfortable discussing retention and conversion funnels alongside system architecture. You help the team understand ROI and prioritize based on value and effort. You have deep technical expertise and can still step in to unblock when needed. You balance feature delivery with technical debt, keeping scalability in mind while ensuring the team ships at pace. You make technical decisions through explicit trade-offs, not gut feelings, and help everyone understand the "why" behind choices. You take ownership of both outcomes and people. You run meaningful 1:1s, create growth plans, and own hiring and promotions. You build engaged teams through honest feedback and coaching. You invest in making the team more productive – better tools, smarter processes, fewer bottlenecks. You drive predictable delivery by partnering tightly with Product and Design. You communicate proactively about priorities, risks, and constraints. You encourage healthy debate and move toward "disagree and commit" when needed. Who You Are 5+ years of software development building data-intensive production systems Proven track record leading cross-functional engineering teams Deep technical knowledge: hands-on experience with at least one of the common general-purpose languages and platforms (C#/.NET, Java/JVM, JavaScript/Node, Go), distributed architectures, databases, messaging and queueing systems. Experience in product-led organizations, ideally with international scopeStrong business acumen – you connect engineering work to revenue, retention, and trust Comfortable with product metrics (DAU/MAU, retention, conversion funnels) Exceptional communication in English across all audiencesA builder's mentality: you care about shipping great products and growing great teams Our tech stack Backend: .NET Core, PostgreSQL, Redis, RabbitMQ, Kafka, Kubernetes You'll lead teams using React, Swift/Kotlin, Python/ML frameworks, and modern QA tools What You Will Get In Return   Make a genuine impact on the product   We're a growing fintech serving hundreds of thousands of European businesses. You'll lead a domain team with real ownership and autonomy over what you build and how you build it. This is a place for curious leaders who want to grow as technical managers, product thinkers, and people leaders.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.