Location: Remote-Friendly (Travel Required) | San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Data Center Operations (DCO) team ensures compute fleet availability through hardware and IT operations. At our partner-operated sites, this role manages the interface between Anthropic and the strategic site operations partner performing day-to-day data hall work.
As the site lead, you own site outcomes for your assigned sites including: deployment velocity, availability, and incident response. Rather than managing operations staff directly, you provide tactical direction, set priorities, and define the standards for the vendor's on-site teams, paired with performance oversight and ongoing operational assessment to ensure all operational commitments are met.
You will define the operational processes, quality gates, and governance rhythms for partner-operated sites. Expect to build the playbook as much as you run it, not just at a site level, but defining and developing program improvements fleet-wide.
What you’ll own
Operational outcomes.
Own site availability, deployment milestones, and repair turnaround, verified with independent data rather than vendor self-reporting.
Vendor direction.
Set daily and weekly priorities and lead the operating cadence, including standups and business reviews.
Process definition.
Author and improve procedures for deployment, break-fix, change management, security, and EHS compliance. Analyze operational trends and standardize lessons across the program.
Performance management.
Track vendor performance against SLAs and staffing commitments, driving corrective actions when necessary.
Incident response and on-call.
Participate in the incident escalation on-call rotation. When designated Anthropic Incident Commander for a site-specific incident, direct vendor response, own communications, and close out post-incident actions.
Internal interface.
Translate engineering requirements into vendor direction and communicate site constraints and risks to leadership.
Representative work
Leading weekly operations reviews and scorecards with vendor site leads.
Directing deployment surges to meet first-compute-online milestones.
Analyzing failure patterns to identify root causes and driving fixes with owners.
Creating break-fix ownership matrices and training vendor teams.
Serving as Incident Commander for facility events and producing post-mortems.
Establishing operational readiness for new data halls, including spares and security.
Identifying process gaps and codifying improvements as program standards.
You may be a good fit if you
Have 8+ years of experience in data center operations (hardware, IT infrastructure, or critical facilities) as a manager, technical lead or related role, including accountability for production availability.
Have managed vendors, MSPs, or contract workforces to measurable outcomes: SOWs, SLAs, operational reviews, and corrective action.
Carry hands-on technical depth in server, network, and rack-level infrastructure, enough to independently verify vendor claims and audit quality.
Have built or substantially improved operational processes, not just run them.
Have served in an incident command or lead-responder role and communicate clearly under ambiguity.
Can support non-standard hours, including an on-call rotation and availability during deployment surges and maintenance windows.
Bachelor's degree in relevant domain or equivalent practical experience.
Strong candidates may also have
Experience with third-party colocation providers or partner-operated sites, delivering IT operations outcomes inside a facility someone else runs.
Experience standing up operations at a new site or data hall, from commissioning handoff through first deployment.
Experience with GPU/accelerator or high-density liquid-cooled infrastructure.
Familiarity with multi-vendor sites where facilities and IT operations are performed by different partners.
Experience leading projects from initiation to completion across teams you didn't own.
Background in incident management frameworks, contract/SLA design, or EHS programs.
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.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic is building and securing data center capacity at an unprecedented pace, and the power and cooling equipment that goes into those sites — switchgear, UPS, generators, transformers, busway, chillers, CDUs, air handlers, pumps and piping skids — is long-lead, high-value, and unforgiving of defects. A single nonconformance discovered at site can cost weeks of schedule.
We're hiring a Manufacturing Quality Engineer to own quality at the source: inside our OEMs' and integrators' factories. You will qualify suppliers, define acceptance criteria, witness factory acceptance tests, drive corrective action to closure, and make sure equipment leaves the factory complete, conforming, documented, and ready to install. You are the person who catches the problem in Ohio before it becomes a problem in Texas.
This is a hands-on individual-contributor role on the Compute DC Infrastructure team, partnering daily with Electrical and Mechanical Engineering, Strategic Sourcing, Construction, and Commissioning. It is not a supplier-relationship-management role and not a people-management role — the emphasis is technical quality engineering at manufacturing facilities.
What You'll Do
Supplier qualification and readiness
Lead quality qualification of new and existing suppliers of power and cooling equipment, including on-site process audits, capability assessments, and manufacturing readiness reviews (MRRs) ahead of production release.
Translate Anthropic engineering specifications into supplier-facing quality requirements: inspection and test plans (ITPs), acceptance criteria, witness/hold points, and documentation deliverables.
Partner with Strategic Sourcing to embed quality requirements, Supplier Quality Agreements, and FAT/documentation expectations into RFPs and contracts.
Factory acceptance and in-process quality
Plan, witness, and sign off factory acceptance tests (FATs) for electrical gear (switchgear, UPS, transformers, gensets, busway, PDUs) and mechanical systems (chillers, CDUs, CRAH/fan walls, dry coolers, pumps, piping skids), including functional, performance, and integrated-system testing.
Conduct in-process and pre-shipment inspections at supplier facilities; verify build-to-print conformance, workmanship, labeling, and traceability.
Review and approve supplier test reports, quality data packages, and turnover documentation; ensure equipment ships complete and installation-ready.
Nonconformance and corrective action
Own the nonconformance (NCR) and deviation process for factory-found issues; lead containment, disposition, and root-cause analysis using 8D, 5-Why, FMEA, and fault-tree methods.
Drive supplier corrective and preventive actions (CAPA) to verified closure with measurable, sustained improvement.
Investigate field-reported defects that trace back to manufacturing, and feed lessons learned into supplier requirements, ITPs, and future RFPs.
Metrics and continuous improvement
Define and track supplier quality KPIs — first-pass FAT yield, defect rate, NCR aging, on-time documentation, supplier scorecards — and report them in quarterly supplier business reviews.
Apply SPC and statistical analysis to supplier process data to identify systemic risk before it reaches a FAT.
Help build the quality framework for a rapidly scaling, multi-supplier, multi-region equipment pipeline — templates, checklists, audit standards, and the operating rhythm around them.
Who You Are
6–10+ years of quality engineering, manufacturing quality, or supplier quality experience in electrical or mechanical equipment manufacturing, mission-critical infrastructure, or a comparable regulated/high-consequence industry.
Hands-on experience with at least one side of the data center equipment stack — medium/low-voltage switchgear, UPS, generators, transformers, busway, or chillers, CDUs, air handlers, pumps — and the curiosity to come up to speed fast on the other.
Proven record planning and witnessing FATs and conducting supplier audits, with the judgment to know when to hold a shipment and when to accept with deviation.
Deep fluency in structured problem-solving and quality tools: 8D, RCA, FMEA, SPC, control plans, PPAP or equivalent.
Able to read electrical one-lines, P&IDs, and mechanical drawings and check a build against them.
Strong technical writing — you produce ITPs, audit reports, and NCR packages that stand on their own.
Comfortable operating with high autonomy and ambiguity, and communicating clearly to engineers, suppliers, and leadership.
Bachelor's degree in Electrical, Mechanical, Manufacturing, or Industrial Engineering, or equivalent experience.
Nice to Have
Experience with hyperscale or AI data center equipment supply chains, or with OFCI (owner-furnished, contractor-installed) delivery models.
Familiarity with liquid-cooling systems (CDUs, manifolds, quick disconnects) and the cleanliness, pressure, and leak-test regimes they require.
Working knowledge of relevant standards: UL 891/1558/1778, IEEE C37, NEMA, AHRI 550/590, ASHRAE 90.4, ASME B31.x, ISO 9001 auditing.
ASQ CQE/CQA, Six Sigma Green/Black Belt, or lead-auditor certification.
Experience standing up a supplier quality function or QMS from a small base.
Proficiency with QMS/ERP platforms and data tools (SQL, Power BI, or similar).
Logistics
Location: [San Francisco / hybrid — or remote US with hub access?]
Travel: [40–60%] to supplier and integrator factories across the US and [internationally], with occasional visits to active construction sites.
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.
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: Morocco
Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world.
At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded.
LEAP Program Description
Global Solutions Ventures (GSV) – a joint-venture partnership between ZemiTek, LLC and Dexis Consulting Group – is implementing the Long-term Exceptional Technical Assistance Project (LEAP Global), a mechanism originally used by USAID to battle against infectious diseases such as malaria, HIV/AIDS, tuberculosis, neglected tropical diseases, and pandemic influenza. As of July 1, 2025, LEAP Global transitioned to the U.S. Department of State (DOS). This initiative aims to address the complex human resource challenges faced by national infectious disease programs in the USA-supported countries.
The intervention of this project is to hire and embed technical expert advisors and subject matter experts within government entities. By directly embedding the technical expertise within the national programs, LEAP provides long-term, sustainable lifesaving support to empower host governments to lead and manage key aspects of their infectious disease portfolios and improve coordination between the U.S. Government and the host country.
About the Position
The Senior Global Health Security (GHS) Advisor will support the Moroccan Ministry of Health and Social Protection Department of Epidemiology and Disease Control (DELM) in carrying out life-saving health assistance in full alignment with the U.S. Presidential Executive Order (EO) directives. The primary focus of the Advisor will be technical support with a special emphasis on preventing, detecting, and responding to emerging infectious disease threats which impact public health.
The Senior GHS Advisor will support a One Health (the intersection of human, animal, and environmental health) approach among multi-sectoral Government Departments and Agencies - such as the Ministry of Health, Agriculture, and Environment- for the effective adoption and implementation of life saving interventions focusing on preventing, detecting and responding to emerging infectious disease threats with public health potential. The Senior GHS Advisor will identify programmatic bottlenecks and facilitate solutions through coordinated technical support and facilitation of effort through GHS projects. The Senior GHS Advisor will be based within the Ministry of Health and Social Protection. The advisor will receive direction from the appropriate Ministry staff, who will serve as the onsite Manager/Supervisor. Familiarity with USAID/Department of State programming and C/AOR experience are highly desirable as the advisor is expected to support the implementation of the GHS portfolio. The advisor will report to the U.S. Department of State on a weekly and monthly basis.
Responsibilities
With input from the Moroccan Ministry of Health and Social Protection, GHS envisions two Senior GHS advisors will support the Ministry under this program. The profile of each advisor is as follows:
An expert in epidemiology and public health, responsible for improving human health outcomes in line with a One Health approach, which includes enhancing multisectoral coordination to detect, respond, and mitigate the health security threat of high-risk zoonotic diseases with human epidemic potential. The advisor will be responsible for the interpretation of epidemiological trends, as well as the development of reports, summaries, and bulletins;
An expert in management and monitoring-evaluation, responsible for supporting the monitoring and evaluation of performance indicators related to emerging infectious diseases, the establishment of dashboards, gap analysis, and the strengthening of steering and reporting tools.
In addition to these areas of expertise, the advisor will also have the following responsibilities:
Support multisectoral ministries in effective delivery of life-saving health assistance through utilization of domestic and donors’ resources (e.g., Global Fund).
Assist the relevant ministries with effective delivery of LHA GHS services, including but not limited:
community-based active surveillance,
systems capacity for detecting priority diseases/threats,
data systems for monitoring, analyzing, and reporting on threats,
infection prevention and control (IPC), including commodities and WASH in healthcare facilities,
case management, including Emergency Management including Emergency Operating Centers (EOC) and Point of Entry Screening,
Risk Communication and Community Engagement,
Emergency outbreak response.
Provide technical support and actively engage with field work to implement programmatic and response interventions at national and sub-national levels.
Assist in monitoring the progress of GHS program implementation and provide recommendations for improvements in service delivery.
Review and analyze performance reports submitted to the Global Fund (GF), and other partners.
Help organize regular discussions among the multisectoral stakeholders and partners to ensure alignment of technical approaches in the respective GHS portfolio.
Provide support to the appropriate multisectoral ministries in identification of performance gaps, potential barriers and bottlenecks, and facilitate consensus on targeted interventions to improve performance on key indicators attributable to:
A reduction in incidence and mortality for epidemic and pandemic prone diseases.
Strengthening systems to prevent, detect, and respond to infectious disease threats.
Rapid and effective responses to infectious disease outbreaks posing a threat to public health.
Support the implementation and expansion of best practices in GHS and outbreak response nationwide.
Support MoHP and other relevant Ministries in routine review of service delivery processes and outcomes.
Promote the dissemination of best practices and effective models nationwide.
Promote prioritized interventions in effective community-based active surveillance, strengthening systems capacity for detecting priority diseases/threats, and data systems for monitoring, analyzing, and reporting on threats.
Support the adoption of infection prevention and control (IPC), including commodities and WASH in healthcare facilities, and case management.
Support and strengthen Emergency Management including Emergency Operating Centers (EOC) and Point of Entry (POE) screening; risk communication.
Support the relevant Ministries to rapidly and accurately report infectious diseases threats to the relevant, domestic and international system– such as the International Health Regulations (IHR) 7-1-7 Outbreak Response Model and World Animal Health Information System (WAHIS) for quick responses to pandemic threats.
Assist the relevant multisectoral Ministers in emergency outbreak responses as needed.
Assist the relevant multisectoral Ministries to achieve the relevant GHS-related targets including the Joint External Evaluation (JEE); IHR States Parties Self-Assessment (SPAR); and the Pandemic Fund Framework which includes reporting on the 7-1-7 target (7 days to detect, 1 day to report, 7 days to complete the initial response)
Support the relevant Ministries in effective utilization of Pandemic Fund grants, other donors’ resources, and emergency outbreak responses efforts.
Provide technical support to develop Pandemic Fund grant applications and support grant implementation review to ensure effective grant implementation and avoid duplication with US Government funded projects.
Consult relevant stakeholders on required technical assistance.
Assist in monitoring the progress of grant implementation.
Review and analyze performance reports submitted to the Pandemic Fund and other partners.
Help organize regular discussions among the relevant multisectoral stakeholders, Ministries, and donors, and State to ensure alignment of technical approaches in the respective GHS portfolios.
Support emergency outbreak response including assisting with mobilizing resources, coordination of efforts, and technical support for efforts to contain and respond to the outbreak.
Communications:
Participate in regular conference calls with multisectoral stakeholders, U.S. Embassy and GHSD Washington to review progress, discuss activities and address emerging issues.
Provide information and avail him/herself for calls/meetings with the U.S. Embassy as requested.
Provide monthly reports to US Embassy/U.S. Department of State.
REPORTING:
The Senior Advisor will provide a detailed monthly report to the U.S. Department of State submitted by the 5th day of the following month. Additionally, the Advisor will submit a weekly progress report to U.S. Embassy/Department of State (and participate in weekly calls) to include a short paragraph about main successes for that week.
Qualifications
Advanced Degree: A master’s or doctoral degree in public health, epidemiology, global health, medicine, or a related field.
At least 7 years in global health security, infectious disease prevention and control, or health systems strengthening.
Proven ability to lead teams, manage complex projects, and coordinate with multiple stakeholders, including government agencies, donors, and implementing partners.
Demonstrated expertise in areas such as: disease surveillance and outbreak response, laboratory systems strengthening, risk communication and community engagement.
At least 5 years of USG experience as well as partners management.
Proven ability to provide high-level technical advice to government officials, international organizations, and other stakeholders.
Experience managing complex health programs, including planning, implementation, monitoring, and evaluation.
Ability to establish and maintain effective working relationships with government officials, donors, NGOs, and community organizations.
Strong ability to work with diverse stakeholders, including government agencies, donors, NGOs, and multilateral organizations.
Strong written and verbal communication skills in English and French. Proficiency in Arabic/Darija preferred.
Benefits
Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for
full-time, US-based
positions only. These benefits include:
Medical and prescription drug coverage:
A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents.
Dental insurance:
Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits.
Company-paid vision insurance:
Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis.
Employer-funded health reimbursement arrangement (HRA):
Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses.
Company-paid life and disability insurance:
Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage.
Optional supplemental insurance:
Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents.
Employee Assistance Program (EAP):
Company-paid access to confidential counseling and legal and financial support resources for employees and their families.
Health and wellness resources:
Virtual care, behavioral health resources, and wellness programs available through the medical plan.
Benefits assistance:
Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center.
Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements.
Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you?
If you are passionate about this opportunity, apply now!
Only those applicants who meet the above criteria will be contacted for interview.
Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Auth & Identity team builds the authentication, authorization, and identity platform that underpins every Anthropic product: the API, Claude Code, Claude.ai, and our Enterprise offerings. Every login, API key, OAuth token, access decision, and organization record flows through the systems we own. As Claude moves from a chat product to an agentic platform, we are defining what identity and access look like when the actor is a human, a service account, or an autonomous agent acting on someone's behalf.
We are a platform team with a product surface. The horizontal is the set of services every product consumes: credential minting and exchange, authorization controls, and the canonical record of users, service accounts, agents, and the organizations they belong to. The vertical is the experience where admins author that policy: SSO and SCIM setup, roles and permissions, IP allowlisting, and API key policies.
Our work falls into four pillars:
Authentication
– Who you are. Credential minting, exchange, and lifecycle; sessions; workload identity federation; auth for async and agentic workloads.
Authorization
– What you can do. The policy framework for model, membership, role, and resource access.
Identity
– Who belongs to what. The tenant and organization model, and first-class identity for humans, service accounts, and agents, portable across surfaces and cloud environments.
Enterprise
– How enterprises connect. SSO, SCIM, login policies, and the admin controls that let customers provision and govern users from their own identity provider.
What you'll do
You will own critical, high-traffic systems end to end, from design through rollout, operations, and iteration, and help shape the technical strategy for how identity and access work across Anthropic. Representative problems we are working on right now:
Designing credentials for agents and long-running autonomous workloads.
Routing every access decision through a unified authorization system, with low latency, security guarantees, and multi-region resilience.
Building a first-class identity model for service accounts and agents, and linking those identities to other identity and auth systems.
Global distribution and multi-region failover for some of the company’s most mission-critical services.
Deepening enterprise integration: login policies and recovery methods, self-service allowlisting, and tighter integrations with providers.
You will work closely with product, security, infrastructure, and the product teams that consume our primitives, and you will be expected to set technical direction, not just execute on it. Many of the problems are 0-to-1 with no established pattern to copy; others are careful migrations of systems that every Anthropic customer depends on in the hot path.
You might be a good fit if you:
Have 8+ years of experience building and operating backend or platform systems at scale, ideally including identity, authentication, authorization, or security-adjacent infrastructure.
Have worked with some of: OAuth 2.0 and OIDC, SAML, SCIM, JWTs and token exchange, workload identity federation, policy engines such as Cedar or OPA, or RBAC and resource-level access control models.
Care deeply about reliability and security. You design for on-call, failure modes, revocation, and the engineer who inherits your system, and you treat availability of auth as table stakes for every product built on it.
Are comfortable owning large migrations in live, high-traffic systems: shadow modes, incremental rollouts, and clean retirement of legacy paths.
Take a product-focused approach to platform work and build primitives that are easy for other engineers to adopt correctly, with documentation and self-service as part of the deliverable.
Can navigate ambiguity and make sound technical decisions independently, and communicate clearly with cross-functional partners and stakeholders.
Are familiar with using AI tools as part of your software development workflow.
Strong candidates may also have
Experience with globally distributed databases and multi-region service architecture.
Experience working in Go, Python, Rust, or TypeScript across a rapidly changing codebase.
Prior work on enterprise identity integrations with major identity providers and cloud IAM systems.
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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: North Macedonia; Bosnia and Herzegovina; Czechia; Croatia; Moldova; Bulgaria; Montenegro
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 FDE and an FDX,
Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs.
Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution.
Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails. You'll have real ownership of components and of the technical decisions inside them.
Requirements:
Mindset
Proactive and self-directed; you push for clarity rather than waiting for a ticket
Excellent communication and problem-solving skills
Comfort with ambiguity and ownership.
B2+ English, comfortable collaborating across distributed, multicultural teams.
Technical depth
5+ years in software or ML engineering, with production systems you were accountable for.
Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes.
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. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive.
Hands-on AWS in production: 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:
Experience in one of the industries: financial services, insurance, healthcare.
Consulting, professional services, or other embedded customer-facing delivery.
AWS and Claude Code Certifications
A2A: you can explain agent-to-agent interoperability
CI/CD pipeline experience (GitHub Actions, GitLab CI)
Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.
Experience in an additional language (Go, TypeScript, or Rust).
Experience with Apache Spark, Apache Airflow, Kafkа
Responsibilities:
Work in a pair with an FDE and an FDX.
Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions).
Build and optimize RAG systems for production use cases
Build the evaluation harness before you build the feature.
Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer.
Integrate AI components into backend services and RESTful APIs
Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection
Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints
Participate in technical discussions and architectural decisions
Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability
Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops.
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 FDE and FDX
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: Ukraine; Spain; Slovakia; Serbia; Yerevan; 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 FDE and an FDX,
Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs.
Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution.
Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails. You'll have real ownership of components and of the technical decisions inside them.
Requirements:
Mindset
Proactive and self-directed; you push for clarity rather than waiting for a ticket
Excellent communication and problem-solving skills
Comfort with ambiguity and ownership.
B2+ English, comfortable collaborating across distributed, multicultural teams.
Technical depth
5+ years in software or ML engineering, with production systems you were accountable for.
Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes.
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. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive.
Hands-on AWS in production: 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:
Experience in one of the industries: financial services, insurance, healthcare.
Consulting, professional services, or other embedded customer-facing delivery.
AWS and Claude Code Certifications
A2A: you can explain agent-to-agent interoperability
CI/CD pipeline experience (GitHub Actions, GitLab CI)
Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.
Experience in an additional language (Go, TypeScript, or Rust).
Experience with Apache Spark, Apache Airflow, Kafkа
Responsibilities:
Work in a pair with an FDE and an FDX.
Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions).
Build and optimize RAG systems for production use cases
Build the evaluation harness before you build the feature.
Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer.
Integrate AI components into backend services and RESTful APIs
Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection
Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints
Participate in technical discussions and architectural decisions
Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability
Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops.
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 FDE and FDX
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: 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: Munich; Neuss; Berlin
Workplace: Hybrid
ROLE HIGHLIGHTS:
- Role: Forward Deployed AI Engineer
- Department: Forward Deployed Engineering
- Location: Germany
- Reports to: VP, Forward Deployed Engineering
- Working type: Hybrid (On-site at customer locations approx. 50% of time)
- German security clearance (Sicherheitsüberprüfung Ü1/Ü2/Ü3)
- Must be eligible and able to attain relevant national and NATO security clearances
- Must be based in-country and native level speaker of the country you're deploying to.
THE MISSION OF THE FORWARD DEPLOYED AI ENGINEER
In this role, you'll be the hands-on AI builder defense and intelligence customers rely on. You’ll deploy ICEYE’s intelligence platform into secure (often air-gapped) environments and rapidly ship AI-powered workflows on top of it—everything from Docker-based deployments to RAG systems fusing SAR imagery with intelligence reports. This is a ship-code-daily role: turning raw satellite data into mission-critical tools analysts use to protect nations.
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.
DAY TO DAY RESPONSIBILITIES:
PLATFORM DEPLOYMENT & INTEGRATION
- Deploy ICEYE's intelligence platform into customer secure environments (on-premise, air-gapped networks, classified data centers).
- Build and maintain containerized applications (Docker) and manage deployments in customer Kubernetes clusters.
- Develop APIs and data pipelines connecting ICEYE systems to customer C4ISR infrastructure and intelligence tools.
- Troubleshoot deployment issues in disconnected environments without external internet access.
AI SOLUTION DEVELOPMENT & CUSTOMIZATION
- Build Retrieval-Augmented Generation (RAG) systems that combine ICEYE SAR data with customer intelligence documents for context-aware analysis.
- Develop AI agents and workflows using frameworks like LangChain, LangGraph, or similar tools to automate analytical tasks.
- Implement prompt engineering strategies and conversational AI interfaces that enable analysts to query satellite data using natural language.
- Create Model Context Protocol (MCP) integrations connecting AI systems with customer data sources.
DATA FUSION & INTELLIGENCE WORKFLOWS
- Build data fusion pipelines combining SAR imagery with additional intelligence sources (AIS, RF signals, optical imagery, SIGINT).
- Develop automated workflows that correlate and cross-reference information across different data modalities.
- Create lightweight tools, dashboards, and alerting systems tailored to customer operational needs.
CUSTOMER ENGAGEMENT & RAPID PROTOTYPING
- Work embedded with intelligence analysts, data scientists, and military operators to understand mission-critical problems.
- Rapidly prototype AI-powered solutions (code first, polish later) that address immediate operational requirements.
- Conduct hands-on training sessions on platform capabilities and AI workflow usage.
- Gather customer feedback and translate it into technical requirements for ICEYE's product and engineering teams.
WHAT WE ARE LOOKING FOR
MUST HAVE SKILLS:
- 3+ years hands-on software engineering building and deploying production systems.
- Strong Python programming skills (required) plus one of: Go, TypeScript, or Rust.
- Hands-on experience with LLMs, prompt engineering, and RAG systems.
- Working knowledge of agent frameworks (LangChain, LangGraph, pydantic-ai) and vector databases.
- Experience with Docker and deploying in secure / isolated / air-gapped environments.
- Practical experience with APIs, data pipelines, and integrating systems in production,
- Familiarity with Linux and basic Kubernetes operations.
- Builder mindset: ship fast, iterate with feedback, and prioritize working solutions over perfect architecture.
- Strong communication + customer engagement, able to work embedded with intelligence analysts / military operators.
- Strong spoken and written English, able to explain technical concepts to non-technical stakeholders.
- Willingness to travel 40–60% to customer sites within the region.
NICE TO HAVE SKILLS:
- Experience in defense, intelligence, or government operational environments.
- Deploying to on-prem data centers and/or air-gapped networks.
- Familiarity with geospatial data, satellite imagery, or remote sensing.
- Experience with MCP integrations, multi-agent systems, or agentic workflows.
- Deeper Kubernetes, IaC (Terraform/Ansible), and/or offline CI/CD.
- Understanding of intelligence analysis workflows and defense/government requirements.
- Experience with data fusion, multi-source intelligence integration, or GIS tools (ArcGIS, QGIS).
- Background in solution engineering, technical consulting, or customer success.
- Experience in defense tech (e.g., Palantir, Anduril, Scale AI, similar startups).
APPLICATION PROCESS
- Talent Acquisition Interview
- Take home task
- Hiring Manager Interview
- Hiring Team Interview
- Offer Decision
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 https://www.iceye.com
Location: AU: Melbourne: (260 Burwood Rd); AU: Sydney (45 Clarence St); AU: Canberra (68 Northbourne Avenue); AU: Brisbane (243 Edward St)
Workplace: Hybrid
THE ROLE AND IMPACT
This is a role for a search specialist who wants to work at genuine scale. As a Senior Engineer on Xero's Search team, you will help maintain and evolve one of the largest search clusters in the Southern Hemisphere; part of an entire vertical stack delivered to customers. The work is both meaningful and technically stretching: keeping 50+ million searchable documents and 400 terabytes of searchable data at global scale running at 99.9% uptime, whilst contributing to a significant four-year platform rebuild that will shape the next generation of Xero's growth. Currently serving over 200,000 daily active users, this is a product at meaningful scale.
Beyond the day-to-day, this role is about real ownership. You will contribute across both search-specific and generalist engineering work, raise and review pull requests, and lead projects. If you are someone who cares about quality and gets energised by hard problems at scale, this is a place where your work will genuinely matter.
THE TEAM AND HOW THEY CONNECT
The Search team is a small, tight-knit group spread across Melbourne, New South Wales and New Zealand, now part of Xero's Catalyst platform division. You will partner closely with this experienced group who are building the next generation of search infrastructure, a dedicated Product Manager, a Principal Architect, and the Catalyst Platform team who coordinate changes and releases across services. The team brings a high-quality mindset to everything they do, and solves challenging technical problems together.
THE TEAM IS CURRENTLY WORKING ON
- A large-scale search platform rebuild (Horizon 2) – a multi-year project at the heart of Xero's infrastructure, addressing critical infrastructure limits and building a scalable future
- Maintaining and evolving the cluster to keep systems running at 99.9% uptime whilst serving over 200,000 daily active users
- Integrating with the ODL (Operational Data Layer) on the ingestion pipeline for the new platform
- Exploring new partnership opportunities with Mobile, Files, and AI-adjacent search capabilities as the platform evolves
WHERE AND HOW YOU CAN WORK
This role can be based in Australia or New Zealand. You will have genuine flexibility in where you work day to day. The team comes together in Melbourne approximately every six months; a chance to connect, align, and spend time in person with colleagues across regions. Xero also offers boost days, giving you the option to work from the office and collaborate with the broader Xero community when it suits you.
HERE ARE SOME OF THE THINGS WE ARE LOOKING FOR
- You bring strong search engineering experience and know what it takes to build, maintain and scale search systems in a production environment handling hundreds of millions of documents
- Solid software engineering and development fundamentals are part of your toolkit, and you are comfortable contributing to both search-specific and generalist engineering work
- Quality comes first for you – you hold a high bar for the code you write and review, and care about doing things properly
- Working collaboratively with others comes naturally to you, whether that is with engineering, product or infrastructure teams across a distributed environment
-
Location: Vietnam
Workplace: remote
About the Company
Born from groundbreaking research at Columbia University and Yale University, CertiK is a leading Web3 security company focused on securing blockchain protocols, smart contracts, and decentralized applications through cutting-edge security research, formal verification, and AI-powered technology. Founded in 2017 and headquartered in New York City, CertiK provides end-to-end security solutions including smart contract audits, penetration testing, on-chain monitoring, incident response, and compliance services for some of the largest projects in the digital asset ecosystem.
Today, CertiK supports thousands of enterprise clients and Web3 projects globally, with a distributed international team spanning North America, Asia, and Europe. The company is backed by leading investors including Coatue, Goldman Sachs, Insight Partners, and Sequoia Capital, and has been recognized by organizations such as the World Economic Forum and CB Insights for its contributions to blockchain security innovation.
Key Responsibilities
Pipeline Generation & Outbound BD: Actively identify, prospect, and engage decision-makers (CTOs, Founders, Head of Web3/Digital Assets) across blockchain protocols, DeFi projects, RWA tokenization platforms, exchanges, and Web2 institutional entrants.
Full Sales Cycle Execution: Drive complex, multi-stakeholder sales cycles from initial outreach and technical discovery to proposal creation, price negotiation, and contract execution.
Enterprise & Institutional Sales: Engage traditional financial institutions, asset managers, family offices, and tech enterprises seeking institutional-grade security for their Web3 initiatives.
Cross-Functional Collaboration: Work closely with CertiK’s global security engineering, solutions architecture, delivery, and marketing teams to ensure smooth deal execution and client onboarding.
Account Expansion & Networking: Build long-term relationships with key accounts to drive renewals, audit add-ons, and monitoring subscriptions. Represent CertiK at local industry events, conferences, and ecosystem meetups.
Key Requirements & Qualifications
Experience: 2–5 years of successful B2B sales or business development experience in Web3, blockchain security, cybersecurity, SaaS, or institutional fintech.
Domain Knowledge: Strong familiarity with Web3 native ecosystems (EVM chains, Layer 1/Layer 2 protocols, DeFi, tokenomics, smart contract architectures).
Good understanding of Web2 cybersecurity fundamentals (e.g., penetration testing, code review, risk assessments).
Core Languages: Professional working proficiency (written and spoken) in English and Vietnamese for regional collaboration and global client management.
Track Record: Proven ability to meet or exceed quarterly sales quotas through structured outbound outreach and consultative deal closing.
Language & Skills Bonuses (Highly Preferred) Regional Asian Languages (Bonus): Proficiency in additional regional languages—such as Japanese, Korean, or other languages, —is a significant bonus for driving APAC cross-border expansion or local market expansion.
Security & Audit Familiarity: Direct experience selling smart contract audits, penetration tests, or bug bounty services.
Regulatory Context: Understanding of Vietnam’s digital asset licensing landscape is a bonus.
Education: Bachelor’s degree in Computer Science, Cybersecurity, Finance, Business Administration, or a related field.
This role must be performed outside the United States. We are unable to consider candidates who will work from within the U.S.
Location: Remote, Canada
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Fullstack Engineer on the Duo Client SDK team at GitLab, you'll build the shared foundation for every GitLab Duo client. Today, the logic that powers Duo in editors lives inside the GitLab Language Server. We're extracting it into a true software development kit (SDK): a set of well-versioned TypeScript packages that editor extensions, our web-based Duo Chat on GitLab.com, and eventually external applications can use.
You'll work in TypeScript across frontend and backend systems. You'll design the SDK's Node.js core and public application programming interface (API), and work in the clients that use it. The work rewards care about interfaces, versioning, and backward compatibility as much as features because other engineers will depend on what you build.
You'll have senior and staff engineers alongside you to help with design. You'll own the implementation of scoped packages and ship improvements with minimal guidance while collaborating with the team on larger architectural changes.
Some examples of our projects:
The Duo Client SDK, extracting versioned, publishable packages from the GitLab Language Server
The GitLab Language Server, rebuilt on top of the SDK as our polyglot surface
Duo Chat on the web, as one of the SDK's first consumers
What you'll do
Develop secure, well-tested, and performant TypeScript features that solve technical problems of moderate scope and complexity.
Ship small features and improvements with minimal guidance, writing tests with every merge request and contributing to code reviews and design discussions.
Extract and publish TypeScript packages from the GitLab Language Server, migrating consumers incrementally so no parallel implementation is left to drift.
Design durable public APIs with clear interfaces, semantic versioning, changelogs, and deprecation paths for external consumers.
Build isomorphic core packages that isolate platform-specific behavior in adapters at the edges.
Build and improve SDK client surfaces, including Vue 3 components in Duo Chat on the web, in collaboration with product, design, and engineering teams.
Strengthen credential handling across hosts, including bearer tokens, session cookies, and CSRF protection.
Optimize bundle size, startup cost, and dependency weight for browser consumers, and support a Tier 2 on-call rotation for urgent engineering issues.
What you'll bring
Strong proficiency with TypeScript across frontend and backend systems, including experience building and maintaining Node.js services.
Experience with modern build and packaging tools, including monorepos, multi-module builds, ECMAScript modules (ESM), and dependency management.
Experience with Vue 3 and the Composition API, or comparable component-based frontend experience and a willingness to learn Vue.
Experience designing APIs that other people use, with the ability to explain what you'd do differently.
Understanding of the differences between running code in Node.js and in the browser, and how to write code that works in both.
A security-minded development approach, including careful credential handling and performance optimization.
Ability to communicate clearly and concisely in writing about technical problems, propose iterative solutions, and work effectively in an agile environment.
Self-motivation, strong organizational skills, and the judgment to ask for help when needed while thriving in a fully remote organization aligned with GitLab's values.
About the team
The Duo Client SDK team sits in GitLab's AI Clients stage and works closely with teams building GitLab Duo experiences. We collaborate across client surfaces to make thoughtful technical decisions as the platform evolves. We work fully remotely and asynchronously across regions, in the open, following GitLab's values of transparency and open communication.
Remote-Global
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
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GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
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and
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accommodation
, please let us know during the
recruiting process
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Location: Remote (Canada); U.S. (Remote)
Workplace: Remote
ABOUT CLIPBOARD
Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S.
Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities.
About the Role
The Sales Commission Analyst role sits at the intersection of finance, sales operations, and analytics. Owning the accuracy, integrity, and clarity of how Clipboard pays its revenue-generating teams.
You're likely someone with sharp spreadsheet instincts and a low tolerance for unexplained numbers. You're comfortable enough in SQL to pull your own data, fluent in comp plan mechanics, and just as capable of explaining a payout discrepancy in plain English to a rep as you are tracing the formula that caused it. You take ownership of the details because you know one uninvestigated row error erodes trust in the whole system.
You will:
- Calculate and process commission payouts accurately and on time each pay cycle, catching and resolving discrepancies before they land in a paycheck.
- Own the mechanics of our commission plans, the calculations, tiers, and accelerators. Keeping the spreadsheets and systems that run them aligned to plan documentation.
- Query and reconcile data across systems to validate commissionable revenue and investigate payout questions.
- Partner with Sales, Finance, and RevOps to roll out new or updated comp plans, translating plan changes into working, auditable calculations.
- Field and resolve rep-facing commission questions with clear, reliable written communication.
- Build and maintain tools and dashboards that make commission tracking transparent and self-service for reps and managers.
What you bring:
- Spreadsheet mastery. You build and audit complex, multi-tab models without breaking them.
- Working SQL skills, comfortable pulling and reconciling data across sources.
- Comp plan literacy. You can read a plan document and translate it into an accurate calculation.
- Sharp attention to detail; you catch the error before it becomes a payout problem.
- Strong, reliable written communication for explaining numbers to non-analysts.
- Project ownership. You can take a commission cycle or plan rollout from start to finish with minimal oversight.
Experience
- 0-2 years in FP&A, sales operations, commissions/compensation, analytics, or a comparable analytical role.
What We Offer
- Competitive base salary
- Insurance benefits and 401k options
- Unlimited PTO and flexible holidays
- Remote-first flexibility
Quick Note on Scammers:
Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.
Location: South Africa; Pakistan; Philippines; Colombia; Ethiopia
About Huzzle
At Huzzle, we connect high-performing B2B sales professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top sales talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle.
Role Type: Full-time
Engagement: Independent Contractor
Timezone: EST Hours
Job Summary
We are looking for a modern, high-velocity Web Developer who sits at the intersection of engineering, marketing, and conversion optimization. This is not a role for someone who simply installs WordPress templates; we need a builder who leverages the latest AI-assisted development tools (Cursor, Claude, v0, etc.) to deploy high-performance landing pages and funnels at scale. You will be responsible for turning high-level concepts into responsive, SEO-friendly, and conversion-optimized web experiences that turn traffic into measurable revenue. If you are a developer who thinks like a marketer and obsesses over page speed, tracking accuracy, and user behavior, this is the role for you.
Key Responsibilities
End-to-End Development: Build and maintain business websites, lead-generation funnels, sales pages, and multi-step forms that are mobile-responsive and lightning-fast.
AI-Workflow Integration: Utilize AI-assisted coding tools to rapidly generate components, refactor code, and build reusable architectures while maintaining full manual control over code quality and debugging.
Conversion Optimization: Implement above-the-fold designs, sticky CTAs, and trust signals to maximize lead generation and appointment bookings.
Advanced Tracking & Analytics: Deploy and troubleshoot Meta Pixels (CAPI), Google Tag Manager, GA4, and server-side tracking to ensure 100% data accuracy for advertising campaigns.
SEO & Performance: Ensure every site meets strict Core Web Vitals standards, utilizing semantic HTML, schema markup, and optimized assets for maximum search and AI-engine discoverability.
Technical Integrations: Connect front-end assets to CRMs (specifically GoHighLevel), email systems, and third-party APIs via webhooks and automation tools like Zapier/Make.
Multi-Client Management: Simultaneously manage multiple project lifecycles, from domain/DNS configuration to staging and final production deployment.
Requirements
Technical Stack: Proficiency in HTML5, CSS3, JavaScript/TypeScript, and modern front-end frameworks (React/Next.js).
AI-Native Workflow: Documented experience using tools like Cursor, Claude, GitHub Copilot, or Bolt to accelerate development cycles.
Tracking Mastery: Deep expertise in Google Tag Manager, GA4, and Meta Conversions API; ability to troubleshoot attribution errors.
SEO Foundations: Strong understanding of technical SEO, including schema markup (LocalBusiness, FAQ, Service) and crawlability.
CRO Mindset: Ability to design for "the click," understanding landing page hierarchy and lead-capture friction.
Platform Experience: Hands-on experience with Vercel, Cloudflare, and DNS management.
Communication: Excellent written English and the ability to work independently in a fast-paced, remote agency environment.
Nice-to-Haves
GoHighLevel Expertise: Deep knowledge of GHL funnels, workflows, and CRM integrations.
Local SEO Experience: Proven track record building service-area landing pages that rank.
Automation Skills: Experience with Make/Zapier for complex lead routing and CRM workflows.
Industry Experience: Background working with home-service businesses or in a high-volume marketing agency.
Benefits
Benefits
💻 Fully Remote: Work from anywhere with international teams
🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: San Francisco; Los Angeles; Sunnyvale
Workplace: Hybrid
ABOUT CANTINA:
Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning.
If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future!
ABOUT THE ROLE:
We're hiring a Lifecycle Product Manager to own how Cantina reaches users outside the app and brings them back to value inside it. Sitting on the product management team, you'll own the end-to-end user journey across email, push, and in-product messaging — and, critically, the deep-linked landing and post-click experiences that complete the loop. You'll develop a deep qualitative and quantitative understanding of how people move through Cantina, turn that into a lifecycle strategy that grows activation, retention, and resurrection, and partner with Data and Engineering to launch, measure, and compound improvements. This is a hands-on role with company-wide visibility: you'll write the strategy, ship the journeys, run the experiments, and bring senior stakeholders along.
WHAT YOU'LL DO:
- Own the lifecycle strategy and roadmap for Cantina's owned channels, mapping journeys across onboarding, activation, continuation, retention, resurrection, and monetization.
- Lead the design, launch, iteration, and optimization of templates and journeys across email, push, and in-product messaging — including the deep-linked landing and post-click product experiences that complete the loop.
- Optimize the lifecycle portfolio, not just individual sends: improve message inventory, relevance, personalization, prioritization, and per-user frequency so users get fewer, better-timed messages.
- Build a deep, evidence-based picture of the user journey — combining product analytics, cohort and funnel analysis with qualitative signals like session reviews, support themes, and user research — and use it to find where users stall and what would move them.
- Design and run experiments (A/B tests, holdouts, incrementality reads) and hold the bar on measurement: retained activity and incremental value, not opens and clicks.
- Partner with the Data team to build the measurement system behind lifecycle — instrumentation, eligibility and audience definitions, dashboards, and experiment readouts.
- Partner with Engineering to ship campaigns end to end: triggers, personalization payloads, deep links, and the in-product surfaces each journey lands on.
- Define the operating model — intake, templates, approvals, QA, and quality standards — so lifecycle scales across teams without channel chaos or user fatigue.
- Set and communicate strategy to senior stakeholders, translating a messy portfolio into a clear multi-quarter direction and defending tradeoffs with data.
WHAT YOU'LL BRING:
- 6+ years in product management, growth, lifecycle/CRM, or retention — ideally in a consumer mobile or AI product operating at scale.
- Demonstrated ownership of lifecycle or engagement programs that moved a real business metric (activation, D30 retention, resurrection, or conversion), with the analysis to prove it.
- Strong quantitative fluency: comfortable writing your own SQL and working in a BI/analytics tool (Mixpanel, Amplitude, Hex, Looker, or similar) to build funnels, cohorts, and retention curves without waiting on a queue.
- Hands-on experience with a lifecycle/CRM platform (Braze, Iterable, Customer.io http://Customer.io, or similar) — segmentation, triggered canvases, personalization, and deliverability.
- Rigorous experimentation judgment: you understand holdouts, incrementality, sample sizing, and the difference between a delivery metric and a value metric.
- Technical and product fluency across event and identity models, APIs, deep linking, and push/email infrastructure — enough to design a system with Engineering. Coding not required.
- Excellent written communication and cross-functional influence, with a track record of aligning senior stakeholders across Product, Engineering, Data, Design, and Marketing.
- Craft-level instinct for messaging: you can write the copy, critique the journey, and tell when a notification is helpful versus annoying.
- Preferred: experience with AI/consumer-social products, localization or multi-market lifecycle, and building lifecycle tooling or self-service platforms with Engineering.
Compensation:
The anticipated annual base salary range for this role is between $175,000 - $250,000. When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.
Benefits:
- Competitive salary and generous company equity
- Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina
- 42 days of paid time off, including:
- 15 PTO days
- 10 sick days
- 15 company holidays
- 2 floating holidays
- Generous parental leave & fertility support
- 401(k) retirement savings plan
- Lifestyle spending account – $500/month to use however you’d like
- Complimentary lunch and snacks for in-office employees
- One Medical membership, and more!
Location: Remote Roles - EMEA
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
The Compliance function at OKX is responsible for the overall compliance culture at the company. We’re a team of risk-minded problem solvers who advise the business on the company’s regulatory obligations and enterprise risk.
In this role, you will own OKX's Global Customer Complaints Program and report directly to the Compliance Chief of Staff. You will work closely with Local Compliance, Legal, Customer Support, Product, Operations, and Risk teams to promote consistent complaint handling across jurisdictions, maintain alignment with regulatory requirements, and provide effective second-line oversight and challenge.
A key part of the role will be turning customer complaints into actionable compliance and conduct-risk intelligence. You will oversee complaints governance and quality assurance, identify trends and potential systemic issues, support root-cause analysis and remediation, and provide senior leadership with clear reporting on customer outcomes and emerging risks.
You will also support the development, coordination, and tracking of responses to regulators, working directly with Legal and Local Compliance teams on regulatory inquiries, escalated complaints, and related supervisory matters. This requires strong regulatory judgment, excellent written communication, and the ability to coordinate complex matters across multiple teams and jurisdictions.
What You’ll Be Doing
Develop, coordinate, and track responses to regulatory inquiries, examinations, and escalated complaints, partnering with Legal and Local Compliance teams to gather and validate facts, prepare clear and defensible responses, manage review and approval processes, meet regulatory deadlines, and track resulting commitments, remediation, and follow-up through closure.
Maintain global regulatory alignment by partnering with local Heads of Compliance to identify changes in jurisdictional requirements and ensure global policies, standards, procedures, and local requirements remain current and appropriately implemented.
Oversee the end-to-end complaints control framework, including complaint identification and classification, regulatory and internal service-level requirements, escalation thresholds, documentation standards, investigation and resolution expectations, and closed-loop validation.
Own the second-line oversight and quality assurance, including risk-based testing of complaint handling, identification of control gaps and customer-outcome issues, tracking of remediation, and escalation of issues.
Turn complaint data into actionable compliance and conduct-risk intelligence by monitoring trends, recurring issues, root causes, regulatory complaints, overdue cases, customer outcomes, and potential systemic issues requiring broader investigation or remediation.
Own complaints governance and executive reporting, including reporting to compliance committees and serving as the standing owner of the complaints agenda for compliance leadership meetings.
Maintain the complaint management database, service level agreement adherence, and escalation thresholds across all regions.
Serve as the central Compliance point of contact for material complaint matters, including complaints or inquiries escalated to regulators, ensuring consistent governance, appropriate escalation, and defensible documentation.
Drive continuous improvement of the framework, using QA results, regulatory developments, complaint trends, and lessons learned to strengthen controls and improve customer outcomes globally.
What We Look For In You
Strong experience developing and managing responses to regulators is required, including regulatory inquiries, information requests, examinations, escalated customer complaints, and other supervisory matters. Demonstrated ability to coordinate cross-functional inputs, develop clear and defensible written responses, manage regulatory deadlines, and track resulting commitments and remediation through closure.
Significant experience in regulatory compliance, conduct risk, consumer protection, complaints oversight, or a related discipline, ideally within a highly regulated and globally distributed organization.
Demonstrated experience owning or overseeing a multi-jurisdictional compliance framework, including translating regulatory requirements into scalable global standards, controls, monitoring, and governance while appropriately incorporating local requirements.
Strong regulatory and customer-outcome judgment, with the ability to distinguish individual service issues from matters presenting potential regulatory, conduct, consumer-harm, reputational, or systemic risk.
Demonstrated experience with root-cause analysis and systemic remediation, including assessing whether broader customer populations may be affected and driving appropriate corrective action.
Strong second-line oversight and challenge capabilities, with experience designing or operating risk-based monitoring, QA, issue escalation, remediation tracking, and governance processes.
Strong analytical and reporting capabilities, trend analysis, SLA monitoring, management information, and executive reporting.
Excellent written and verbal communication skills, with the ability to communicate clearly with regulators, Legal, Compliance, senior executives, and cross-functional stakeholders.
Proven ability to influence geographically dispersed teams and senior stakeholders.
Nice to Haves
Experience designing or overseeing a global customer complaints program across multiple regulatory regimes, particularly the United States, United Kingdom, European Union, APAC, LATAM, and/or Middle East.
Familiarity with complaints-handling and customer protection expectations across major global regulatory regimes, including those established by the FCA, CFPB, MAS, European Supervisory Authorities (EBA, ESMA and EIOPA), and other relevant national competent authorities and dispute-resolution bodies.
Relevant professional certification or advanced qualification such as CAMS, CFE, CRCM, CCEP/CCEP-I, ICA compliance qualifications, CIA, CRCMP, JD or equivalent legal qualification, or a comparable compliance, risk, or audit credential.
Perks &
Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
OKX Statement:
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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OKX
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If in doubt, please apply directly through our official careers website.
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Location: Singapore
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are seeking an Enterprise Account Executive to join the foundational team introducing Anthropic's frontier AI to large enterprises across Southeast Asia. Based in Singapore, you will drive adoption of safe, frontier AI by securing strategic deals with major corporations across industries including financial services, healthcare, technology, manufacturing, and telecommunications throughout the ASEAN region. You'll leverage your consultative enterprise sales expertise to grow revenue while becoming a trusted partner to C-suite and senior technical stakeholders, helping them embed Claude across business operations, research, and administration. As Anthropic's senior in-market commercial presence for ASEAN, you'll shape our regional go-to-market strategy and lay the groundwork for a dedicated Southeast Asia footprint.
Key responsibilities
Own and exceed revenue targets by winning new enterprise accounts and expanding existing relationships across ASEAN countries.
Serve as senior regional coverage for Anthropic's most strategic ASEAN enterprise accounts, building executive relationship depth and commercial momentum through consistent in-market engagement
Build and execute territory plans that identify high-value opportunities across key ASEAN industries, accounting for differences in market maturity, regulatory environment, and buying behaviour between countries
Lead consultative sales processes with C-suite and senior technical stakeholders, positioning AI as a strategic business transformation driver
Orchestrate internal teams—Product, Engineering, Applied AI, Partnerships—to deliver tailored solutions for complex enterprise requirements
Translate technical AI capabilities into compelling business value propositions suited to the needs of Southeast Asian enterprises
Identify new use cases and contribute to ASEAN go-to-market strategy, providing feedback that shapes product roadmap and regional approach
Represent Anthropic across Southeast Asia, building executive relationships with enterprise, partner, and government stakeholders and raising Anthropic's profile within the regional technology community
Minimum qualifications
12+ years in enterprise sales, GTM, business development, or account management with direct, in-market Southeast Asia operating experience
A track record of managing complex, multi-stakeholder sales cycles and securing strategic deals in ASEAN markets by translating multifaceted technical requirements into tailored solutions
Existing commercial network across enterprise and partner communities in Singapore and at least one or two additional ASEAN markets
Strong commercial instincts, with the ability to identify, prioritise, and advance high-value opportunities without heavy oversight
Comfort operating as a generalist regional presence—equally effective in an enterprise sales conversation, a partnership discussion, or a government stakeholder introduction
Excellent communication and presentation skills, with cultural fluency across ASEAN business environments
Based in, or willing to relocate to, Singapore, with eligibility to work in Singapore and the ability to travel frequently across Southeast Asia
Bachelor's degree in a related field or equivalent experience
Preferred qualifications
Experience selling AI/ML, cloud, data platforms, or enterprise SaaS to regulated industries such as financial services or healthcare
Experience working with hyperscaler or channel partners to co-sell into regional enterprise accounts
Prior experience establishing or scaling a new market or region for a high-growth technology company
Working proficiency in a Southeast Asian language in addition to English (e.g. Bahasa Indonesia, Thai, Vietnamese)
Familiarity with regional data residency, AI governance, and procurement frameworks relevant to enterprise buyers
A passion for and/or experience with advanced AI systems, and a strong interest in ensuring frontier AI is developed safely
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Brazil; Poland; Argentina; Colombia
Workplace: Remote
Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.
Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.
We are looking for a Forward Deployed Engineer to work directly with clients on high ambiguity GenAI, agentic AI and AI-enabled workflow transformation initiatives. This role is designed for someone who can operate at the intersection of customer discovery, hands-on engineering, solution architecture, early delivery and production adoption.
You will work closely with client stakeholders and users to uncover the real operational problem, build thin end-to-end solutions with real systems and data, validate feasibility, shape the delivery path and stay involved through MVP or first production release to assure alignment with expected outcome.
ROLE MISSION
Your mission is to turn ambiguous customer problems into validated, production-grade AI solutions.
You will help Solvd move from “we can build this” to “we have proven this works in the customer’s real operating environment.” You will bridge presales, discovery, prototyping and delivery, while converting field learnings into solution blueprints and service accelerators.
YOUR RESPONSIBILITIES
- Lead discovery and solution shaping for GenAI / Agentic AI initiatives, working directly with client stakeholders, users and technical teams to understand workflows, systems, data and business constraints.
- Drive early-stage opportunities partnering with account executives, product analysts and technology SMEs to prototype, define scope, implementation roadmap and effort estimates.
- Translate ambiguous business problems into validated AI solution designs covering model strategy, data access, orchestration, tool use, integration patterns and production constraints.
- Build proof-of-concepts fast, prioritizing speed and impact over perfect design, technical spikes to validate architectural assumptions using real or representative systems and data.
- Evaluate and select appropriate AI frameworks, platforms and tools, including LLMs, vector databases, orchestration frameworks, cloud AI services and agentic tooling.
- Present, defend and explain complex AI, architecture and delivery concepts in simple, practical terms for both business and technical stakeholders.
- Stay involved through MVP or first production release to preserve context, support delivery teams and validate that the solution works in the customer’s operating environment.
- Define evaluation criteria for AI quality and business impact, including accuracy, groundedness, tool-call correctness, latency, cost, adoption and workflow effectiveness.
- Ensure proposed solutions adhere to security, compliance, Responsible AI, observability and production-readiness principles.
- Convert field learnings into reusable Solvd assets, including solution blueprints, evaluation frameworks and service accelerators.
OUR REQUIREMENTS
- A seasoned hands-on technical leader who has evolved from full-stack or server-side software engineering into the GenAI and agentic AI domain.
- Experienced in designing, prototyping and integrating systems that combine LLMs, agentic frameworks, enterprise data and business workflows.
- Proficient at combining established engineering patterns with emerging AI capabilities to deliver reliable, production-ready solutions.
- Skilled in guiding teams and clients through ambiguity - able to prototype rapidly, validate assumptions and converge toward delivery-ready designs.
- Comfortable engaging with executives, product teams, operational users and engineers alike, translating complex AI concepts into clear, actionable solution narratives.
- Pragmatic, curious, collaborative and obsessed with customer problem — equally focused on technical soundness, business value, user adoption and delivery readiness.
- 8+ years of experience in IT, including strong experience in software design and engineering.
- 2+ years of hands-on experience architecting or building GenAI or agentic AI systems using modern LLM ecosystems, such as OpenAI, Anthropic, Gemini, Azure AI or AWS Bedrock.
- Experience supporting presales solutioning, discovery, prototyping or early delivery for AI engagements.
- Strong understanding of LLM orchestration, retrieval-augmented generation, vector databases, prompt engineering and tool-calling patterns.
- Understanding of cost modeling for AI workloads, including token usage, inference scaling and hosting models.
- Proficiency with at least one major cloud platform, such as AWS, Azure or GCP, and its AI/ML service offerings.
- Demonstrated experience leading technical discussions with both engineering and non-technical stakeholders in presales, discovery or early delivery phases.
- Strong command of software engineering fundamentals, API design, integration patterns and production-readiness practices.
- Knowledge of modern software delivery practices, including CI/CD, containerization, observability and DevSecOps.
- Excellent communication, presentation and documentation skills, with the ability to articulate complex solutions clearly and persuasively.
OPTIONAL
- Prior experience as a Forward Deployed Engineer, Field Engineer, staff engineer, solution architect or technical product lead.
- Prior experience with traditional AI/ML systems, including model training, MLOps, data pipelines or feature stores.
- Familiarity with frameworks for agentic or multi-component AI pipelines.
- Exposure to Responsible AI, data privacy and governance frameworks.
- Hands-on experience with Databricks or Snowflake.
- Experience creating reusable solution blueprints, evaluation frameworks or technical accelerators.
- Industry-recognized cloud and AI certifications from Anthropic, AWS, Azure or Google.
When you join Solvd, you'll…
- Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
- Be part of a global team with equal opportunities for collaboration across continents and cultures.
- Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.
Ready to make an impact?
If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.
Solvd is an equal opportunity employer.
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