Location: United States, Remote
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Senior Finance Data Governance Consultant (Contract)
*This is a 12 month temporary assignment
Sony Interactive Entertainment is seeking an experienced, hands-on Finance Data Governance consultant to help establish and operationalize SIE’s Finance Data Governance capability. The role will partner across Finance and Technology to define governance standards, document critical Finance data and lineage, establish data quality controls, govern master data and hierarchies, and support priority Finance data products.
The ideal candidate should have 8+ years of experience in data governance, Finance transformation, or Finance data management, with strong knowledge of financial processes and systems. Experience with SAP S/4HANA, Snowflake, data catalog/governance platforms such as Atlan or Collibra, and enterprise reporting tools is preferred. The candidate should be comfortable working independently in a greenfield environment and translating complex Finance and technical requirements into practical, sustainable governance processes.
Responsibilities:
Establish the Finance Data Governance Foundation
Assess the current maturity of Finance data governance, documentation, ownership, controls, and data management practices.
Design and implement a practical Finance Data Governance operating model, including roles, decision rights, governance forums, workflows, escalation paths, and operating cadences.
Create governance standards, procedures, templates, decision logs, issue-management routines, and approval processes that Finance and Technology teams can use in practice.
Build the Finance Data Inventory and Business Glossary
Identify and inventory priority Finance data domains, systems, tables, reports, interfaces, data products, calculations, mappings, and critical data elements.
Document business definitions, ownership, stewardship, approved usage, security classification, refresh frequency, and downstream dependencies.
Resolve conflicting definitions across Accounting, FP&A, management reporting, statutory reporting, and regional Finance teams.
Prepare metadata for publication in an enterprise data catalog and establish workflows for maintaining, reviewing, approving, and retiring governance documentation.
Document Data Lineage and Finance Transformation Logic
Map data from source systems through integration, transformation, consolidation, reporting, and analytical consumption.
Document business rules, transformation logic, mappings, allocations, eliminations, adjustments, currency translation, and reconciliation points.
Identify manual transformations, uncontrolled spreadsheets, duplicated logic, missing ownership, and lineage gaps, and support impact assessments for upstream changes.
Partner with technical teams to distinguish business lineage from physical and technical lineage.
Establish Data Quality and Financial Data Controls
Define practical Finance data quality standards, rules, thresholds, monitoring requirements, and acceptance criteria.
Build a data quality rule inventory and support issue identification, triage, root-cause analysis, ownership, remediation, escalation, and closure.
Develop data quality scorecards and maintain traceable and auditable evidence for approvals, exceptions, reconciliations, and remediation activities.
Govern Finance Master Data and Hierarchies
Document and govern Finance master data, reference data, mappings, and hierarchies, including accounts, cost centers, profit centers, entities, products, regions, currencies, scenarios, and reporting periods.
Define ownership, approval, versioning, effective dating, and change-control requirements.
Partner with master-data and technology teams on future hierarchy-management and Master Data Management initiatives, including business requirements, process design, testing, and downstream-impact assessment.
Support Priority Finance Data Products
Apply governance standards to priority Finance data products and procedures.
Support documentation and validation of SAP financial and consolidation data, including ACDOCA and ACDOCU where applicable.
Help document data flows and reconciliation requirements across SAP, consolidation and reporting platforms, Snowflake, Domo, planning tools, and downstream reports.·
Support the development of governed enterprise context and semantic layers for reporting, analytics, and AI-enabled Finance use cases.
Drive Adoption and Manage Delivery
Facilitate workshops, prepare executive-ready updates, develop training materials, and coach data owners and stewards on their responsibilities.
Translate complex Finance and technical concepts into clear documentation and decisions.
Establish a repeatable onboarding approach for new data domains and data products.
Promote governance as an enabler of faster, more reliable reporting and analytics rather than as an administrative exercise.
Develop and maintain a prioritized governance backlog with defined owners, deliverables, dependencies, and completion criteria.
Work independently, identify missing requirements, and move ambiguous work toward resolution.
Required Qualifications:
8+ years of experience in data governance, Finance data management, Finance transformation, financial systems, data quality, metadata management, or related consulting roles.
Demonstrated experience establishing or materially improving a data governance and data strategy capability in a complex enterprise.
Strong understanding of Finance processes, including general ledger, management reporting, financial consolidation, planning, forecasting, close, and reconciliation.
Experience documenting financial data definitions, business rules, mappings, hierarchies, lineage, controls, and data quality requirements.
Experience partnering with Finance, Accounting, FP&A, data engineering, business intelligence, security, and enterprise technology teams.
Ability to distinguish business ownership and governance responsibilities from technical platform and engineering responsibilities.
Strong facilitation skills and the ability to drive decisions across stakeholders with different priorities.
Demonstrated ability to create detailed, usable deliverables with limited existing documentation or structure.
Strong written communication skills with the ability to produce both detailed working documentation and executive-level summaries.
Experience working in a consulting, transformation, or contractor environment where measurable deliverables and knowledge transfer are required.
Ability to operate independently in an ambiguous, fast-moving, greenfield environment.
Bachelor's degree or equivalent.
Preferred Qualifications
Experience with SAP S/4HANA Finance and related financial data structures, consolidation, or group reporting (e.g., ACDOCA, ACDOCU).
Experience with cloud data platforms, enterprise analytics/reporting tools, and data governance/catalog platforms (e.g., Snowflake, Tableau, Power BI, Domo, Atlan, Collibra, Purview, or similar).
Strong understanding of data quality and architecture, including SQL, data profiling/reconciliation, dimensional modeling, semantic layers, hierarchies, and modern data architectures.
Experience working with Finance data in SOX-controlled or audit-sensitive environments, including data supporting automation and AI; consulting, Finance transformation, or enterprise data advisory experience preferred.
#LI-SV1
At SIE, working with our partners, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the individual base pay range may vary based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role is eligible for benefit offerings that include medical, dental, and vision. Click
here
to learn more.
The estimated base pay range for this role is listed below.
$129,600
—
$194,400 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Hong Kong
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
Your future role within QRT
Provide first- and second-line support for LLM gateway platform, investigating and resolving issues raised by engineering and business users across the firm
Monitor and maintain the platform's underlying infrastructure to ensure availability, stability and predictable performance under rapidly growing load
Support and troubleshoot model-serving backends and provider integrations, model providers, covering latency, throughput, error-rate and capacity issues
Triage incidents affecting model availability — provider instability, connection resets, timeouts, regional slowness — determine whether the cause is platform-side or upstream, and drive to resolution with vendors where required
Support the tooling layer built on top of LLM gateway: integrations, developer workspaces (e.g. Coder), coding assistants and API clients, including diagnosing issues introduced by upstream vendor releases running against a gateway-fronted API
Coordinate with platform engineering, cloud infrastructure and end-user teams to resolve incidents and minimise disruption
Support release management and change processes to keep production stable, including staged rollouts, non-prod validation and rollback
Build tooling and automation to improve monitoring, diagnostics and operational visibility, and to reduce repetitive manual work
Contribute to the design and implementation of monitoring, dashboards and alerting — for example extending Grafana dashboards covering TTFT, TPOT, percentile latency and failure-rate reporting
Own and improve operational documentation, runbooks and user-facing status communication
Your present skillset
Experience in a production support, SRE or platform operations role within a fast-paced environment, with strong ownership of issue resolution end to end
Strong Linux and Windows system administration skills
Proficiency scripting and automating in Python, Bash and/or PowerShell
Solid experience with relational databases such as PostgreSQL or SQL Server, including writing queries for investigation and supporting routine operational processes
Practical understanding of monitoring and observability: metrics, logs, traces, dashboards and alerting, and the ability to analyse system data to distinguish a platform-wide problem from a localised one
Comfortable debugging distributed, API-driven services: HTTP status and error semantics, timeouts, retries, connection resets, rate limiting, caching and latency percentiles
Familiarity with large language model concepts and hosting environments — inference APIs, model gateways/proxies, prompt and context handling, token accounting, streaming responses, prompt caching
Exposure to public cloud, ideally AWS (Bedrock, networking, IAM, logging/metrics), and to containerised or Kubernetes-based workloads
Ability to communicate clearly with both engineers and non-technical users, and to manage expectations of senior stakeholders during live incidents
Awareness of data-sensitivity and access-control considerations when routing workloads to third-party model providers
Beneficial
Experience supporting developer tooling and AI coding assistants (e.g. Claude Code, OpenCode) or IDE/workspace platforms
Experience with Grafana, Prometheus or equivalent observability stacks, including building dashboards and alert rules
Experience with CI/CD and infrastructure-as-code (Terraform, Ansible, or similar)
Experience operating multi-region services and troubleshooting region-specific performance issues (e.g. APAC latency)
Experience acting as the operational interface to third-party vendors and cloud providers during degradations
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
Location: San Francisco, CA | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Platform Security Engineering (PSE) sits within Data Center Security Engineering (DCSE). As Anthropic expands beyond traditional cloud providers into owned facilities, colocation, and partner sites, we take on the security responsibilities that cloud providers used to abstract away: firmware integrity, boot chain verification, platform trust, and host hardening. PSE exists so that Anthropic can deploy training and inference workloads to any qualified environment with a demonstrable security posture, including the technical controls behind our AI Safety Level commitments.
We are hiring an engineering manager to lead a group of platform security engineers covering firmware research, OS and kernel hardening, platform trust integration, and server manageability firmware. You will own the roadmap for this group, grow the team, and be accountable for the security posture of the compute platforms Anthropic runs on: hardware roots of trust, secure and measured boot, attestation, firmware supply chain, and the integrity of the hosts that hold model weights on bare-metal infrastructure.
This is a hands-on management role. You will not write most of the code, but you will review designs, make the final call on hard trade-offs, and be able to reason with your engineers from a silicon root of trust through firmware, bootloader, kernel, and host software. You will partner with infrastructure, fleet, and compute teams inside Anthropic, and with silicon vendors, OEMs, and compute providers outside it.
You will report to the Data Center Security Engineering manager.
Key responsibilities
Lead and grow the platform security engineering group: hiring, onboarding, development, performance, and prioritization for full-time engineers, and coordination of contractor and vendor engineers working alongside them
Own the platform security roadmap and its delivery: hardware root of trust and attestation, secure and measured boot across CPU, BMC, accelerator, and peripheral firmware, OS and kernel hardening, and the host-side pipeline that turns attestation evidence into production gates
Own the firmware supply chain posture for the fleet: SBOM and reference integrity manifests, authenticated update, rollback protection, and the vendor relationships needed to get fixes shipped
Drive platform risk assessments for new compute platforms and providers, and make evidence-based go/no-go recommendations with bounded risk rather than perfect-or-nothing gates
Partner with infrastructure, fleet, compute, and detection and response teams so that platform controls land in production without degrading training or inference performance
Manage relationships with silicon vendors, OEMs, and compute providers: security requirements, vulnerability management, disclosure and remediation timelines, and upstream and standards-body engagement (TCG, OCP, IETF)
Run the team's operating rhythm: design reviews, threat models, incident participation for platform-layer issues, and clear written status to security and infrastructure leadership
Minimum qualifications
Have 10+ years in systems security, with at least 5 years focused on firmware, hardware, or OS-level security
Have 5+ years as a people manager of security or systems engineers, including hiring and developing senior and staff-level engineers
Can go from architecture to implementation detail with your engineers: secure boot, measured boot, TPM and other roots of trust, attestation protocols (SPDM, DICE, remote attestation), UEFI and BMC firmware, and Linux kernel and OS hardening
Have owned a technical roadmap end to end, including the prioritization calls when security, performance, and delivery timelines conflict
Have worked directly with silicon vendors, OEMs, or cloud and bare-metal providers on security requirements and remediation, and can push a partner to a fix without burning the relationship
Write clearly: design reviews, risk assessments, and status for executives are part of the job
Are comfortable building a team and its processes from an early stage, with a scope that is broader than the headcount
Preferred qualifications
Experience managing a mixed team of full-time engineers, contractors, and vendor engineers while keeping design authority in-house
Hands-on background in OpenBMC or other server management firmware, DRTM or secure launch, or confidential computing primitives (TDX, SEV-SNP, ARM CCA)
A record of upstream contributions or maintainership in Linux, OpenBMC, or a comparable community, or standing in TCG, UEFI Forum, or OCP
Experience securing large-scale HPC or AI training infrastructure
Firmware vulnerability research, reverse engineering, or fuzzing background
Experience running coordinated vulnerability disclosure with hardware or firmware vendors
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:
$485,000
—
$625,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco; Seattle; New York City; Toronto
PERPLEXITY API PLATFORM
Perplexity innovates at the frontier of AI infrastructure, search, and orchestration to serve the world's most discerning users. The Perplexity API Platform brings our technology to the world's most discerning developers. From exabyte-scale knowledge indexes to codegen-first agent runtimes, the building blocks behind Perplexity's applications are some of the most battle-tested AI systems in the industry.
We believe these same building blocks can and should power the aspirations of builders everywhere. It's one thing to solve planet-scale retrieval, long-horizon orchestration, and other foundational AI challenges within a single product ecosystem. The true measure of success is to turn those solutions into elegant APIs that delight developers and agents alike. Our API Platform delivers frontier intelligence to thousands of customers: startups, trillion-dollar enterprises, U.S. and allied governments, and everyone in between.
We've achieved incredible scale, yet we're just getting started. Join us to build tools for curious minds.
ABOUT THIS ROLE
Perplexity is seeking strong engineers with a passion for delivering frontier intelligence and infrastructure to developers. Our company builds technology that reshapes how people search, reason, and interact with the world around them. Week after week, we observe increasing demand for programmatic interfaces to that technology. The API Platform engineering team is charged with designing, implementing, and scaling these interfaces.
As a member of our team, you'll work on an eclectic portfolio spanning distributed systems, performance optimization, agent orchestration, and frontier topics that often change with each passing month. Throughout this work, you'll prioritize great developer and agent experience alike. You'll also define technical strategy for how we scale to meet compounding growth exponentials (number of customers, agents per customer, compute/retrieval per agent, etc.).
KEY RESPONSIBILITIES
- Design, build, and operate mission-critical APIs that provide our customers the building blocks for frontier intelligence.
- Own and evolve the API gateway and routing layer: authentication, authorization, rate limiting and quotas, usage metering, and request routing across heterogeneous upstream services.
- Build the paved road for API services: standardized service scaffolding, container builds, CI/CD, Kubernetes and Helm deployment, and progressive rollouts with fast rollback, so a new API product goes from idea to production in days, not weeks.
- Build API governance into the platform: contract-first schemas, breaking-change detection in CI, versioning and deprecation workflows, and SDKs and documentation generated from a single source of truth.
- Unify cross-cutting capabilities (billing and usage, rate limiting, organization and identity settings, analytics and observability) so every API product gets them by default instead of rebuilding them.
- Ensure low latency and high throughput through aggressive performance optimization (including on upstream systems).
- Harden system security and reliability across heterogeneous compute environments, and operate what you build: SLOs, on-call, and incident response.
- Collaborate across teams to bring novel frontier capabilities into the API Platform, and partner with infrastructure teams on compute, networking, secrets, and security.
- Continually reimagine the customer needs of tomorrow (and the architectures to serve those needs), while faithfully serving the customer workloads of today.
- Uphold engineering excellence through design reviews, code quality, and internal documentation.
QUALIFICATIONS
- 5+ years of backend engineering experience with Python, Go, or Rust, including significant time building platforms or infrastructure used by other engineering teams.
- Strong understanding of high-traffic API design: schema evolution & versioning, idempotency, authentication patterns, rate limiting, and performance tuning.
- Hands-on experience building and operating API gateways, reverse proxies, or routing layers: authentication and authorization, rate limiting and quotas, request routing, traffic shaping, and per-request observability.
- Experience building API governance tooling: contract-first API design, breaking-change detection and API linting in CI, versioning and deprecation workflows, and SDKs and documentation generated from the contract.
- Platform depth across the build and deploy path: you have owned CI/CD pipelines, container builds and base images, infrastructure as code, and progressive delivery (canary or blue-green) on a major cloud.
- A track record of owning a platform end to end: identifying the need, designing it, aligning the teams that depend on it, shipping it, and operating it, while raising the engineering bar for the teams building on it.
- Strong customer empathy and product sense, ensuring the APIs you build are ergonomic, well-documented, and easy to adopt for developers and agents alike.
Strong plus:
- Experience with modern AI APIs (including latency tuning, streaming, model orchestration, emerging technical standards).
- Usage-based billing and metering systems, multi-tenant organization and identity models, and usage analytics pipelines.
- Observability for API platforms: structured logging pipelines, metrics, tracing, and SLO tooling.
Location: United Kingdom, London
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Role overview:
The EMEA Payroll Analyst role is an operational role designed to provide leading payroll and vendor management services support to Sony Interactive Entertainment. This role is positioned within the People Experience team within HR. You will be responsible for working with external payroll vendor partnership(s), payroll operations and execution, and supporting the production of accurate and timely payroll results across EMEA.
What you’ll be doing:
Relationship Management:
Provide exceptional experiences, resulting in high customer satisfaction.
Liaise between outsource provider and functional staff to bring issues to resolution within provided service level agreements.
Work closely with HR, Compensation, Benefits, Finance and other departments to ensure seamless integration of payroll processes.
Communicate effectively with internal partners regarding payroll policies, changes, and timelines.
Payroll Services:
Working closely with the outsource payroll service provider to ensure delivery of the payroll processes and results
Oversee the preparation and processing of payroll for all employees, ensuring accuracy and compliance with internal policies and legal regulations.
Review and validate payroll data and ensure timely submission to the payroll vendor, reviewing outputs in line with payroll calendars.
Act as the main point of contact between the company and the payroll vendor.
Collaborate with the vendor to resolve any payroll discrepancies and ensure alignment with service level agreements (SLAs).
Develop positive relationships with payroll vendors.
Provide responsive, accurate, and timely resolution for common payroll queries.
See opportunities for enhancing payroll processes and efficiencies in collaboration with the vendor.
Implement best practices and continuous improvement initiatives.
Ensure the Standard Operating Procedures manual is kept up to date with current payroll service provider model practices and procedures.
Liaise with vendor/3rd parties in relation to the processing of international assignees shadow payrolls and audit pay to ensure results agree with recommendations from mobility services.
What we’re looking for:
Previous experience of in house and/or managed service payroll within a large, complex international organisation.
Hands-on experience working with EMEA payrolls, with an understanding of country-specific legislation, compliance requirements, and operational nuances
Good technical knowledge of statutory payments, pension/auto-enrolment, manual calculations.
Ability to input into and review change requests, collaborating across multiple teams and partners to obtain input.
Passion for providing exceptional quality service and striving for exceeding clients' expectations.
Proactive anticipations of issues and developing collaborative relationships with upstream and downstream functions
Solid understanding of general HR processes and data, including eligibility and procedures, to provide expected correct downstream pay result outcomes
Desirable
:
CIPP and/or equivalent qualification
Expatriate processing experience and mobility understanding
Benefits:
Discretionary bonus opportunity
Hybrid Working
Private Medical Insurance
Dental Scheme
25 days holiday per year
On Site Gym
Subsidised Café
Free soft drinks
On site bar
Access to cycle garage and showers
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Elgin, SC
Physical Therapist – Outpatient Ortho
Build Your Outpatient Physical Therapy Career with us!
At
Drayer Physical Therapy, part of the Upstream Rehabilitation network, you can focus on patient care while advancing your career in outpatient orthopedic physical therapy.
We’re hiring full-time, part-time, and PRN Physical Therapists — including new grads — who want competitive pay, strong mentorship, and a clear path to professional growth that flexes with every stage of your career.
Why Clinicians Choose Drayer Physical Therapy
Competitive Physical Therapist compensation: $80,000–$95,000
Achievable monthly clinical bonus program, over 90% of clinicians qualify
Student loan repayment assistance – directly to the principle of your loan!
100% employer paid medical health insurance premium option available
Dental and
Vision insurance
401(k) with company match
Generous PTO and paid holidays
Structured onboarding for new-grad Physical Therapists and ongoing mentorship
In-house Residency/Fellowship programs and robust CEU opportunities – with annual allowance!
Path to clinic ownership / partnership for long-term growth
Modern clinical technology that reduces documentation time so you can focus on patients
Supportive team and leadership invested in your success
What You’ll Do as a Physical Therapist
Develop individualized, evidence-based care plans for your patients
Deliver high-quality, outcomes-driven therapy
Collaborate with peers in a fun, values-driven team environment
Build lasting connections with patients and local providers
Continue learning and growing through Upstream’s education and development programs
Qualifications
Graduate of an accredited Physical Therapy program (DPT or equivalent)
Active
South Carolina Physical Therapist license (or eligible)
A Better Place to Build Your PT Career
When you join Upstream Rehabilitation, you get the strength of a national network with the feel of a local clinic.
Our central support teams handle the administrative work
,
so you can focus on what matters most — the patient in front of you. With a network of over 1,200 clinics
coast-to-coast
across 26 brand partners, we lead the industry in quality outcomes, leveraging data, technology, and innovation to reduce paperwork and give you more time for care.
You’ll be part of a fantastic group of clinicians who shape our culture, create a positive work environment, and know how to have fun along the way. It’s easy to see why so many Physical Therapists choose to grow their careers with Upstream.
Estimated pay ranges listed above are based on several factors including but not limited to your pay class, experience, background and geographic location of the clinic
Benefits and eligibility are dependent on employment status and pay class (full-time, part-time, or PRN). Specific details will be provided during the hiring process.
Upstream Rehabilitation is an Equal Opportunity Employer that strives to provide an inclusive work environment where our differences are celebrated for the value they bring to our communities, our patients and our teammates. Upstream Rehabilitation does not discriminate on the basis of race, color, national origin, religion, gender (including pregnancy), sexual orientation, age, disability, veteran status, or other status protected under applicable law.
Location: Saudi Arabia (remote)
Workplace: Remote
ABOUT THE OPPORTUNITY
We are looking for experienced Oil & Gas professionals to support a cutting-edge AI benchmarking project focused on Modern Standard Arabic (MSA) for the GCC energy sector. As a Subject Matter Expert, you will create and review realistic, high-quality technical scenarios that reflect real operational, engineering, and regulatory challenges across upstream, midstream, and downstream activities. Your expertise will help ensure AI systems understand and respond accurately within one of the world’s most critical industries.
WHAT YOU’LL DELIVER
- Design realistic Oil & Gas scenarios in Arabic or English grounded in GCC operational contexts (e.g., drilling, production optimization, LNG logistics, HSE incidents)
- Adapt structured evaluation rubrics for technical and operational problem-solving tasks
- Review AI and human-generated responses for technical accuracy, safety compliance, and operational realism
- Contribute to “gold standard” solutions reflecting industry best practices
QUALIFICATIONS
- Native Arabic (MSA) with strong professional English proficiency
- 5+ years of professional experience in Oil & Gas or Energy (upstream, midstream, or downstream)
- Background in one or more relevant roles: Petroleum/Reservoir Engineering, HSE, Process Engineering, LNG/Gas Operations, Procurement, or Energy Transition
- Strong understanding of operational workflows, safety protocols, and regulatory requirements in GCC energy environments
WHY COLLABORATE WITH LILT?
- Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging.
- Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices.
- Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate.
- Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together.
- Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains.
- Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.
HOW TO JOIN OUR EXPERT COMMUNITY
Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in the domain.
Step 2: Register in Tipalti to ensure a smooth payment process
Step 3: Finalize onboarding and join the Production team
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Location: United Arab Emirates (remote); Kuwait (Remote); Bahrain (Remote); Qatar (Remote); Saudi Arabia (remote)
Workplace: Remote
ABOUT THE OPPORTUNITY
We are looking for experienced Oil & Gas professionals to support a cutting-edge AI benchmarking project focused on Modern Standard Arabic (MSA) for the GCC energy sector. As a Subject Matter Expert, you will create and review realistic, high-quality technical scenarios that reflect real operational, engineering, and regulatory challenges across upstream, midstream, and downstream activities. Your expertise will help ensure AI systems understand and respond accurately within one of the world’s most critical industries.
WHAT YOU’LL DELIVER
- Design realistic Oil & Gas scenarios in Arabic or English grounded in GCC operational contexts (e.g., drilling, production optimization, LNG logistics, HSE incidents)
- Adapt structured evaluation rubrics for technical and operational problem-solving tasks
- Review AI and human-generated responses for technical accuracy, safety compliance, and operational realism
- Contribute to “gold standard” solutions reflecting industry best practices
QUALIFICATIONS
- Native Arabic (MSA) with strong professional English proficiency
- 5+ years of professional experience in Oil & Gas or Energy (upstream, midstream, or downstream)
- Background in one or more relevant roles: Petroleum/Reservoir Engineering, HSE, Process Engineering, LNG/Gas Operations, Procurement, or Energy Transition
- Strong understanding of operational workflows, safety protocols, and regulatory requirements in GCC energy environments
WHY COLLABORATE WITH LILT?
- Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging.
- Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices.
- Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate.
- Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together.
- Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains.
- Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.
HOW TO JOIN OUR EXPERT COMMUNITY
Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in the domain.
Step 2: Register in Tipalti to ensure a smooth payment process
Step 3: Finalize onboarding and join the Production team
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Location: Warren, PA
Physical Therapist – Outpatient Ortho
Build Your Outpatient Physical Therapy Career with us!
At Drayer Physical Therapy
, part of the Upstream Rehabilitation network, you can focus on patient care while advancing your career in outpatient orthopedic physical therapy.
We’re hiring full-time, part-time, and PRN Physical Therapists — including new grads — who want competitive pay, strong mentorship, and a clear path to professional growth that flexes with every stage of your career.
Why Clinicians Choose Drayer Physical Therapy
Competitive Physical Therapist compensation: $60.00 / hour
401(k) with company match
Modern clinical technology that reduces documentation time so you can focus on patients
Supportive team and leadership invested in your success
What You’ll Do as a Physical Therapist
Develop individualized, evidence-based care plans for your patients
Deliver high-quality, outcomes-driven therapy
Collaborate with peers in a fun, values-driven team environment
Build lasting connections with patients and local providers
Continue learning and growing through Upstream’s education and development programs
Qualifications
Graduate of an accredited Physical Therapy program (DPT or equivalent)
Active Pennsylvana
Physical Therapist license (or eligible)
A Better Place to Build Your PT Career
When you join Upstream Rehabilitation, you get the strength of a national network with the feel of a local clinic.
Our central support teams handle the administrative work
,
so you can focus on what matters most — the patient in front of you. With a network of over 1,200 clinics
coast-to-coast
across 26 brand partners, we lead the industry in quality outcomes, leveraging data, technology, and innovation to reduce paperwork and give you more time for care.
You’ll be part of a fantastic group of clinicians who shape our culture, create a positive work environment, and know how to have fun along the way. It’s easy to see why so many Physical Therapists choose to grow their careers with Upstream.
Estimated pay ranges listed above are based on several factors including but not limited to your pay class, experience, background and geographic location of the clinic
Benefits and eligibility are dependent on employment status and pay class (full-time, part-time, or PRN). Specific details will be provided during the hiring process.
Upstream Rehabilitation is an Equal Opportunity Employer that strives to provide an inclusive work environment where our differences are celebrated for the value they bring to our communities, our patients and our teammates. Upstream Rehabilitation does not discriminate on the basis of race, color, national origin, religion, gender (including pregnancy), sexual orientation, age, disability, veteran status, or other status protected under applicable law.
Location: Remote Canada
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
About Ops Enablement
The Operations Enablement team builds the capabilities required to deliver fast, accurate, and high-quality servicing experiences for Affirm’s customers and merchants—while identifying opportunities to eliminate the need for them to contact us in the first place. We partner across Operations, Product, Engineering, Vendor Management, Legal, and Compliance to ensure every agent is trained, equipped, and able to deliver measurable results from day one.
Operating across the full servicing lifecycle, we translate new products, policies, and business requirements into scalable operational capabilities. Our work includes designing training and operational readiness strategies, standing up new servicing experiences, defining and measuring interaction quality, and ensuring agents can quickly access the information they need to resolve issues correctly.
We use performance insights, customer contact drivers, quality trends, and agent feedback to identify capability gaps and their root causes. We then build the learning programs, quality frameworks, knowledge systems, processes, and tools needed to close those gaps—while helping our Product and Engineering partners address friction upstream rather than requiring agents to absorb it downstream. By owning the full journey—from operationalizing new products and policies to improving existing workflows—Operations Enablement turns complex change into consistent, compliant, and high-quality servicing at scale.
One Role, Multiple Teams
We are hiring multiple Manager roles across Affirm's Ops Enablement organization through this single job posting. Rather than interviewing for one specific team, candidates will go through a shared interview process designed to assess the core skills we look for across Ops Enablement.
If selected, we will work with you to determine the best team match based on your interests, experience, strengths, and current business needs. You will have the opportunity to learn more about our teams and share your preferences as you move through the process.
Potential team placements include:
Fraud Enablement: Owning and improving specific fraud servicing experiences across multiple product offerings
Dispute Enablement: Owning and improving specific dispute servicing experiences across multiple product offerings
About the Role
As an Operations Enablement leader you will help deliver scalable, compliant, and high-quality servicing experiences across our Operations organization. In this role, you will define and execute strategies that enable our servicing operations to grow efficiently while maintaining exceptional customer and merchant outcomes.
You will set the vision for operational readiness, ensuring that people, processes, and enablement systems evolve in lockstep with Affirm’s servicing strategy. As a member of the Operations Enablement team, you will own a portfolio of cross-functional initiatives aligned to strategic priorities - driving delivery across timelines, dependencies, and measurable business outcomes. You will define and execute servicing strategies by developing clear program roadmaps and execution plans and be responsible for planning, coordination, documentation, change management and measurement across assigned initiatives to ensure operational readiness and measurable outcomes.
This role works closely with partners across Product, Engineering, Operations, Compliance, and external vendors to align priorities and ensure readiness for key business and regulatory changes. Serving as a connector between servicing strategy and day-to-day execution, you will translate strategy into scalable operational capabilities. We are looking for a hands-on, data-driven leader who thrives in complex, regulated environments and is passionate about building durable, high-quality servicing experiences at scale.
What You'll Do
Own Program Performance:
Lead complex cross-functional programs and initiatives, ensuring alignment with servicing strategy, OKRs, and long-term business priorities.
Set Strategic Direction
: Define and execute the servicing strategy developing clear program roadmaps and execution plans, tracking progress against KPIs, timelines, and budgets.
Lead Transformation Initiatives
: Drive enterprise-wide improvements leveraging Lean Six Sigma, change management, and data-driven methodologies to unlock efficiency, compliance, and customer satisfaction.
Build Technical Resources:
Collaborate with product and engineering teams to translate technical concepts into clear manuals and resources for both human and AI agents.
Elevate Knowledge Management
: Architect and evolve our knowledge ecosystem (SOPs, job aids, learning platforms, AI-enabled knowledge tools), ensuring resources are accurate, engaging, and accessible at scale.
Translate Technical Concepts:
Apply technical depth to plan, design, and create complex operational, instructional, and procedural content, translating technical concepts into clear resources for both human and AI agents.
Own Learning & Training Strategy
: Oversee end-to-end design and delivery of training programs (onboarding, continuous learning, new product rollouts), ensuring effectiveness through measurement and feedback loops.
Champion Global Readiness
: Anticipate and design for operational needs tied to product launches, program expansion, and regulatory changes.
Drive Insights
: Use metrics, dashboards, and qualitative feedback to continuously assess workflows, knowledge adoption, training impact, and localization quality, while influencing senior leadership decisions.
Influence & Partner at Scale
: Serve as a trusted advisor to executives, cross-functional partners, and vendor leaders - driving alignment between company goals and day-to-day execution.
Build a High-Performing Ecosystem
: Lead and coach augmented staff, contractors, and cross-functional contributors to deliver world-class content and learning experiences.
Lead Change at Scale
: Ensure global teams successfully adopt new processes, platforms, and resources through structured change management practices.
Expand Program Scope:
Take on additional program and project management responsibilities as needed, developing working knowledge across adjacent domains to support evolving business needs.
What We Look For
5+ years of experience in program management or product operations, preferably within large-scale or global operations.
Proven track record of setting strategy and delivering measurable impact across efficiency, compliance, and customer experience.
Expertise in Lean Six Sigma, project/program management, and change management (Black Belt, PMP, or Prosci certification preferred).
Experience implementing and scaling knowledge management and training (Salesforce, Confluence, LMS platforms, or AI-driven knowledge tools).
Strong background in regulated industries (financial services, fintech, or consumer lending highly preferred).
Exceptional influence and communication skills, with the ability to engage executives, coach teams, and align diverse stakeholders.
Analytical and data-driven mindset, with a focus on measurable outcomes and continuous improvement.
Comfort operating in ambiguous, high-growth environments with a builder’s mindset.
Global perspective with experience supporting vendor/partner operations and distributed teams.
Willingness to provide occasional support outside regular working hours, including evenings, weekends, and holidays, to address time-sensitive operational needs.
Willingness to travel as needed to support team collaboration, operational priorities, and vendor or partner engagements.
Base Pay Grade - J
Equity Grade - 4
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
CAN base pay range per year: $101,000 - $151,000 CAD
# LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: Remote US
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
About Ops Enablement
The Operations Enablement team builds the capabilities required to deliver fast, accurate, and high-quality servicing experiences for Affirm’s customers and merchants—while identifying opportunities to eliminate the need for them to contact us in the first place. We partner across Operations, Product, Engineering, Vendor Management, Legal, and Compliance to ensure every agent is trained, equipped, and able to deliver measurable results from day one.
Operating across the full servicing lifecycle, we translate new products, policies, and business requirements into scalable operational capabilities. Our work includes designing training and operational readiness strategies, standing up new servicing experiences, defining and measuring interaction quality, and ensuring agents can quickly access the information they need to resolve issues correctly.
We use performance insights, customer contact drivers, quality trends, and agent feedback to identify capability gaps and their root causes. We then build the learning programs, quality frameworks, knowledge systems, processes, and tools needed to close those gaps—while helping our Product and Engineering partners address friction upstream rather than requiring agents to absorb it downstream. By owning the full journey—from operationalizing new products and policies to improving existing workflows—Operations Enablement turns complex change into consistent, compliant, and high-quality servicing at scale.
One Role, Multiple Teams
We are hiring multiple Manager roles across Affirm's Ops Enablement organization through this single job posting. Rather than interviewing for one specific team, candidates will go through a shared interview process designed to assess the core skills we look for across Ops Enablement.
If selected, we will work with you to determine the best team match based on your interests, experience, strengths, and current business needs. You will have the opportunity to learn more about our teams and share your preferences as you move through the process.
Potential team placements include:
Fraud Enablement: Owning and improving specific fraud servicing experiences across multiple product offerings
Dispute Enablement: Owning and improving specific dispute servicing experiences across multiple product offerings
About the Role
As an Operations Enablement leader you will help deliver scalable, compliant, and high-quality servicing experiences across our Operations organization. In this role, you will define and execute strategies that enable our servicing operations to grow efficiently while maintaining exceptional customer and merchant outcomes.
You will set the vision for operational readiness, ensuring that people, processes, and enablement systems evolve in lockstep with Affirm’s servicing strategy. As a member of the Operations Enablement team, you will own a portfolio of cross-functional initiatives aligned to strategic priorities - driving delivery across timelines, dependencies, and measurable business outcomes. You will define and execute servicing strategies by developing clear program roadmaps and execution plans and be responsible for planning, coordination, documentation, change management and measurement across assigned initiatives to ensure operational readiness and measurable outcomes.
This role works closely with partners across Product, Engineering, Operations, Compliance, and external vendors to align priorities and ensure readiness for key business and regulatory changes. Serving as a connector between servicing strategy and day-to-day execution, you will translate strategy into scalable operational capabilities. We are looking for a hands-on, data-driven leader who thrives in complex, regulated environments and is passionate about building durable, high-quality servicing experiences at scale.
What You'll Do
Own Program Performance:
Lead complex cross-functional programs and initiatives, ensuring alignment with servicing strategy, OKRs, and long-term business priorities.
Set Strategic Direction
: Define and execute the servicing strategy developing clear program roadmaps and execution plans, tracking progress against KPIs, timelines, and budgets.
Lead Transformation Initiatives
: Drive enterprise-wide improvements leveraging Lean Six Sigma, change management, and data-driven methodologies to unlock efficiency, compliance, and customer satisfaction.
Build Technical Resources:
Collaborate with product and engineering teams to translate technical concepts into clear manuals and resources for both human and AI agents.
Elevate Knowledge Management
: Architect and evolve our knowledge ecosystem (SOPs, job aids, learning platforms, AI-enabled knowledge tools), ensuring resources are accurate, engaging, and accessible at scale.
Translate Technical Concepts:
Apply technical depth to plan, design, and create complex operational, instructional, and procedural content, translating technical concepts into clear resources for both human and AI agents.
Own Learning & Training Strategy
: Oversee end-to-end design and delivery of training programs (onboarding, continuous learning, new product rollouts), ensuring effectiveness through measurement and feedback loops.
Champion Global Readiness
: Anticipate and design for operational needs tied to product launches, program expansion, and regulatory changes.
Drive Insights
: Use metrics, dashboards, and qualitative feedback to continuously assess workflows, knowledge adoption, training impact, and localization quality, while influencing senior leadership decisions.
Influence & Partner at Scale
: Serve as a trusted advisor to executives, cross-functional partners, and vendor leaders - driving alignment between company goals and day-to-day execution.
Build a High-Performing Ecosystem
: Lead and coach augmented staff, contractors, and cross-functional contributors to deliver world-class content and learning experiences.
Lead Change at Scale
: Ensure global teams successfully adopt new processes, platforms, and resources through structured change management practices.
Expand Program Scope:
Take on additional program and project management responsibilities as needed, developing working knowledge across adjacent domains to support evolving business needs.
What We Look For
5+ years of experience in program management or product operations, preferably within large-scale or global operations.
Proven track record of setting strategy and delivering measurable impact across efficiency, compliance, and customer experience.
Expertise in Lean Six Sigma, project/program management, and change management (Black Belt, PMP, or Prosci certification preferred).
Experience implementing and scaling knowledge management and training (Salesforce, Confluence, LMS platforms, or AI-driven knowledge tools).
Strong background in regulated industries (financial services, fintech, or consumer lending highly preferred).
Exceptional influence and communication skills, with the ability to engage executives, coach teams, and align diverse stakeholders.
Analytical and data-driven mindset, with a focus on measurable outcomes and continuous improvement.
Comfort operating in ambiguous, high-growth environments with a builder’s mindset.
Global perspective with experience supporting vendor/partner operations and distributed teams.
Willingness to provide occasional support outside regular working hours, including evenings, weekends, and holidays, to address time-sensitive operational needs.
Willingness to travel as needed to support team collaboration, operational priorities, and vendor or partner engagements.
Base Pay Grade - J
Equity Grade - 5
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA base pay range (CA, WA, NY, NJ, CT) per year: $130,000 - $180,000
USA base pay range (all other U.S. states) per year: $115,000 - $165,000
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: New York; San Francisco
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
Baseten's GTM org is in hyper growth. As it grows and matures, the needs of the GTM stack get more sophisticated with scale — and this team exists to stay ahead of those needs. Our GTM Engineering team plays a critical role in building and maintaining the connective tissue across Baseten’s GTM tools, processes, and user experience for the field.
The GTM tooling landscape is changing fast, and the teams that win are the ones that adapt and iterate the fastest. This role exists to make sure Baseten is one of them.
You'll design, build, and ship AI-powered workflows that scale our GTM functions as a competitive advantage. We want someone who can walk in, audit what we have, identify what we're missing, and start shipping fast.
You know when to reach for Clay and when to build something custom in Claude Code. You think two to three steps ahead about how the thing you build today fits into the broader systems architecture tomorrow. And you bring a point of view — on our stack, on what we should be building, and on where AI can do something low-code tooling simply can't.
RESPONSIBILITIES
- Ship AI-powered workflows for the field — build the agents and automations that give reps and managers real leverage, off-loading the manual and repetitive work. Reach for AI where it does something low-code can't.
- Get insights in front of reps — turn Salesforce, warehouse, and usage data into the dashboards, scores, and alerts reps actually act on. A build isn't done until the field is using it.
- Audit the stack and generate your own backlog — we have a lot of tools, some overlap, and real gaps. Walk in with a point of view, identify what's missing or broken, and prioritize without waiting to be handed a roadmap.
- Ship rep-productivity workflows fast — triage asks from the field, find the low-hanging fruit, and build it. A good week looks like a VP of Sales asking for something Monday and having it live by Wednesday.
- Know when to go custom — not everything belongs in a point-and-click tool. Spin up bespoke AI-powered solutions in Claude Code when the problem calls for it, and make that call with judgment, not default.
- Think in systems, not solutions — every workflow you build has upstream and downstream implications. Anticipate them, design for them, and don't create technical debt that someone else has to unwind six months later.
- Integrate third-party APIs to sync events and information across disparate systems — ensuring data flows reliably between the tools your team depends on every day.
- Document what you build — if people can't find it, understand it, or trust it, it doesn't matter how well it works.
REQUIREMENTS
- 3+ years of experience in GTM Engineering, workflow automation, or a technical RevOps role — ideally at a high-growth, AI-native B2B company
- You’ve shipped production agents on Vercel — build custom internal GTM apps and agents on Vercel, with durable workflows and sandboxed execution, so what you ship runs reliably in production instead of as one-off scripts
- Genuine fluency with AI coding assistants and agent tooling (Claude Code, Cursor, Codex, or similar) — you're actively building with these tools in production, not just experimenting
- Hands-on experience with Clay as a primary enrichment and workflow tool — you have opinions about how to use it well and you've pushed it to its limits
- Direct experience with Salesforce — you know the data model, you've built on it, and you're comfortable owning CRM-level changes
- A track record of owning end-to-end AI and automation workflows, not just contributing to or consuming them
- Proficiency with integration and automation platforms (n8n, Zapier, Make, Workato, or similar) and a fundamental understanding of APIs and webhooks
- Strong judgment on the build decision — you know when low-code gets you 80% of the way there and when it becomes the bottleneck, and you act accordingly
- Experience in high-growth B2B technology companies
NICE TO HAVE
- Familiarity with enrichment and data-provider ecosystems beyond Clay
- Comfort building reporting and alerting on a data warehouse (BigQuery, Databricks) and BI layer (Sigma, Hex) — not as a data engineer, but as a consumer and builder on top of the data layer
- Experience building with agent platforms (Gumloop, n8n, Notion Agents, etc.) and/or agent frameworks (Vercel AI SDK, Claude Agent SDK, Mastra, etc.)
- Experience with highly technical software sales cycles and complex GTM motions
- An instinct for stack consolidation — you've inherited a messy tool environment before and helped bring it toward something more intentional without breaking what works
- Systems thinker — you naturally break problems into composable parts, building solutions with separation of concerns so they're reusable, extensible, and easy to maintain
- Comfortable with a little sprawl — you're not paralyzed by ambiguity or imperfect tooling. You know how to experiment, build fast, and clean up as you go
- Challenging work and exposure to a variety of ML startups.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Atlanta, GA
Workplace: OnSite
ABOUT US
At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale.
We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry.
More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale.
ABOUT THE TEAM
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
ABOUT THE ROLE
The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
WHAT YOU’LL DO
- Co-architect and co-build production AI agents with customer engineering teams
- Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
- Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
- Advise customers post-sale on architecture, best practices, and roadmap-level decisions
- Run technical demos, trainings, and workshops for developer audiences
- Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
- Occasionally contribute code upstream when it meaningfully improves customer outcomes
WHAT YOU’LL BRING
- 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
- Strong Python, JavaScript and systems fundamentals
- Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
- Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
- Can explain technical tradeoffs clearly and build trust with developer audiences
- Take responsibility for outcomes, not just recommendations
- Have a bias toward action and enjoy figuring things out as you go
- Are excited about operating AI agents in production, not just building demos
NICE TO HAVE’S:
- You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
- Worked with LLM evaluation, observability, or guardrails
- Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
- Have shipped and operated production software and are comfortable owning systems under real-world constraints
COMPENSATION
Annual OTE range: $150,000–$250,000 USD
COMPENSATION PHILOSOPHY:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: United States (Remote)
Workplace: Remote
ROLE SUMMARY
We're looking for a Senior Software Engineer to join our high-impact team focused on product scalability, customer experience, and revenue growth. Our team owns business-critical services including customer onboarding and off-boarding, billing and metering, cloud marketplace integrations, customer-facing usage and cost reporting, and the account data integrations that keep revenue systems in sync across the business.
In this role, you'll lead technical direction and build systems that directly impact Temporal's revenue engine and customer journey. You'll partner closely with engineers, product managers, finance, revenue operations, support, and sales to design resilient architectures, drive cross-functional execution, and raise the reliability and scalability bar for our billing, metering, and customer lifecycle platforms. If you enjoy owning ambiguous, high-leverage problems and building durable systems that scale with the business, we'd love to meet you.
WHAT YOU'LL DO
- Lead the Design of Business-Critical Systems: Own end-to-end technical design and delivery for services that power customer acquisition, onboarding/offboarding, and revenue operations.
- Drive Architectural Excellence: Define and evolve system architecture for high-throughput, fault-tolerant metering and billing pipelines; make principled tradeoffs across correctness, latency, cost, and operability.
- Own Cross-Functional Execution: Partner with Finance, RevOps, and Sales to translate business needs into robust, scalable systems—anticipating edge cases, ensuring auditability, and aligning stakeholders on milestones and risks.
- Own the Account Lifecycle End to End: Build the flows that carry an account from acquisition through activation, expansion, billing, and offboarding—self-service and operator-initiated onboarding, plan and SKU changes, suspension, dunning, and clean offboarding.
- Keep Revenue Data Coherent Across the Business: Own the integrations and pipelines that reconcile control-plane state with CRM, support, analytics, and BI systems, so finance, support, and sales operate on the same numbers.
- Build Customer-Facing Usage and Cost Transparency: Design the APIs and metrics surfaces customers use to understand their spend—usage APIs, cost reporting, and billable-action metrics—with the accuracy and latency guarantees that make them trustworthy.
- Ensure Data Integrity, Reliability, and Compliance: Build and operate distributed data systems with strong correctness guarantees; implement monitoring, alerting, dashboards, and runbooks that keep revenue-impacting pipelines trustworthy.
- Raise the Engineering Bar: Set quality standards through code reviews, design reviews, and operational readiness; introduce patterns and tooling that improve maintainability and incident response.
- Mentor and Multiply Impact: Mentor engineers, unblock execution, and foster a culture of ownership, learning, and pragmatic excellence.
- Improve Developer and Customer Experience: Identify opportunities to streamline customer flows via automation, better tooling, and targeted platform improvements that reduce friction and support load.
TECHNOLOGY STACK
- Primary Language: Go
- Data Storage: PostgreSQL, ClickHouse, Redshift, S3, Google Cloud Storage, Azure Blob Storage
- Data Processing: Kinesis, Firehose
- Infrastructure: Kubernetes
- Billing & Revenue: Metronome, Stripe
- Go-to-Market Integrations: Salesforce, Segment, Pylon, Zapier, cloud marketplace APIs
- Customer-Facing Standards: OpenMetrics, FOCUS
- Core Framework: Temporal (of course 😉)
WHAT YOU'LL BRING
- Significant experience designing and delivering production-grade backend systems (ideally in cloud environments) with meaningful ownership over architecture and operational outcomes.
- Strong proficiency in at least one systems/backend language (Go preferred), with the ability to navigate large codebases and drive technical decisions.
- Demonstrated experience building and operating distributed systems: concurrency, reliability, scaling, consistency, and failure handling.
- Practical understanding of data pipelines and storage systems (e.g., Postgres, Redshift, Kafka/Kinesis, S3-like systems) and how to ensure correctness and traceability.
- Experience integrating and reconciling against third-party SaaS platforms (billing, CRM, support, analytics), including idempotency, drift detection, and recovery when an upstream system disagrees with your source of truth.
- Experience with production operations: observability, incident response, performance tuning, on-call readiness, and continuous delivery.
- Ability to work effectively across functions (Finance/RevOps/Sales/Support), translating ambiguous requirements into clear, executable technical plans.
- Strong written and verbal communication skills, including the ability to write design docs, align stakeholders, and explain tradeoffs.
- A "builder" mindset: you enjoy simplifying complex workflows, improving tooling, and leaving systems better than you found them.
WHAT YOU CAN EXPECT
- High-impact ownership over systems tied directly to revenue, customer lifecycle, and platform scalability
- Collaborative engineering culture focused on quality, pragmatism, and measurable outcomes
- Exceptional technical colleagues and a feedback-rich environment
- Lean processes and autonomy without unnecessary bureaucracy
- Strong emphasis on reliability and operational excellence—balanced with rapid iteration
- A team that values mentorship, thoughtful design, and steady improvements that compound over time
Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity.
Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.
Location: Remote - Europe
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
This position sits within Nebius Token Factory, our serverless platform for running and customizing open-source LLMs in production. Token Factory allows for serverless inference and fine-tuning backed by in-house optimizations like custom speculative decoding, quantization, cache-aware routing and dedicated endpoints. Customers come to us to move from prototype to scaled production without the cost and complexity of building and tuning their own inference stack.
Our Solutions Architects own the
technical delivery
of customer engagements: deploying open-source models, tuning the serving stack, benchmarking against the customer's success criteria, and carrying the technical relationship through to production. Sales Engineers qualify and scope the opportunity; SAs execute it. Technical Account Managers take it from production onward.
We're looking for a
Manager, ML Solutions Architecture
to lead our EU regional SA teams. Your scope is
PoC delivery and post-sales technical support
: the people who do it, the standard they do it to, and the operating cadence that keeps it predictable. You will report to the Head of Solutions Architecture and partner with a peer manager in the other region.
We expect you to push people when they need pushing, make the uncomfortable call when deliverables don't land even though the effort was real, and take ownership of the documentation work: implement and monitor the following of the guidelines, ticket hygiene, and making sure the team actually uses all three.
You're welcome to work remotely from
any EU country.
Your responsibilities will include:
Lead the team
Manage a team of 8 Solutions Architects, with continued growth planned: 1:1s, goal setting, performance reviews, promotion cases, and individual growth plans
Build an accurate picture of each SA's strengths, gaps, and preferences, and allocate accounts and engagements against both expertise and interest
Run the cadence that surfaces blockers early, then take them to the development, product, and business teams that can clear them, and stay on them until they do
Hold people to outcomes: distinguish effort from delivered results, say so plainly when the two diverge, and reflect it in ratings and compensation decisions
Onboard new joiners through to their first independently delivered engagement
Coach SAs into stronger engineers and stronger communicators, and make deliberate calls about who is ready for more scope
Own delivery
Be accountable for your team's delivery outcomes: time from PoC kick-off to first optimized dedicated endpoint, success-criteria hit rate, and the quality of the technical relationship after the customer goes to production
Review technical work before it reaches the customer: benchmarking methodology, serving configurations, results, closure documents; catch the wrong conclusion drawn from a metrics artifact before a customer sees it
Ensure staffing and escalation coverage across accounts and timezones, including post-sales request load that does not respect sprint boundaries
Call infeasibility early and with evidence, rather than letting the team burn iterations against requirements the platform cannot meet today
Own the operating system of the team
Maintain and extend the team's documentation: responsibilities, runbooks, guides, onboarding, definitions of done, engagement closure templates. Keep it accurate and reachable; link, don't copy
Get it
used
, not just written: documentation nobody reads is a cost, not an asset
Keep the ticket tracker the system of record, so PoC and production status is readable without asking anyone
Instrument the work: define and report the metrics that show whether delivery is getting faster and more reliable over time
Work across teams
Development and research teams: convert recurring customer pain into prioritized platform work, and represent the customer's technical reality in roadmap discussions
Pre-sales: hold the scoping-to-execution boundary: push back on under-scoped engagements, and feed feasibility signal back upstream
Account management: make production handoffs uneventful, and keep post-sales technical requests moving
Business and leadership: give a straight read on account health, technical feasibility, and capacity needs
We expect you to have:
3+ years managing technical teams, including performance management and difficult conversations
Experience managing a customer-facing team.
Running a team whose work is visible to customers, on customer timelines, with customer escalations.
Strong ML knowledge:
LLM architectures, fine-tuning approaches (SFT/LoRA, RL-based), evaluation design, and a working command of inference internals — quantization, KV-cache management, batching, routing, speculative decoding — and of the frameworks the team works in (vLLM, SGLang, TensorRT-LLM)
Enough technical judgment to review someone else's benchmark and find the flaw in the methodology, not just in the conclusion
Python strong enough to read and review your team's code
Excellent communication skills, with the ability to clearly explain technical concepts to diverse audiences, from engineers to executives, including in front of enterprise customers under pressure
Genuine tolerance for operational work: documentation, process design, reporting, and the follow-through that makes them stick
Comfort operating with ambiguity across distributed teams and timezones, and a bias toward writing things down
It would be an added bonus if you have:
References from both former managers and former direct reports
Experience scaling a team through rapid growth (5 → 15+) without losing delivery quality
Prior experience in a customer-facing technical function at a cloud, inference, or AI infrastructure provider
Experience defining process and documentation for a team that had none
Hands-on background running LLMs in production and debugging inference workloads at the framework level
Work with multimodal AI models (vision-language, speech)
Proficiency with DevOps tooling (Docker, Kubernetes) and infrastructure-as-code
Preferred technical stack:
Programming languages:
Python
ML frameworks and libraries:
vLLM, TensorRT-LLM, SGLang, Transformers, OpenAI/Anthropic SDKs
MLOps and DevOps tools:
Kubernetes (K8s), Docker, Git
Cloud platforms:
AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML)
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Remote - United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
This position sits within Nebius Token Factory, our serverless platform for running and customizing open-source LLMs in production. Token Factory allows for serverless inference and fine-tuning backed by in-house optimizations like custom speculative decoding, quantization, cache-aware routing and dedicated endpoints. Customers come to us to move from prototype to scaled production without the cost and complexity of building and tuning their own inference stack.
Our Solutions Architects own the
technical delivery
of customer engagements: deploying open-source models, tuning the serving stack, benchmarking against the customer's success criteria, and carrying the technical relationship through to production. Sales Engineers qualify and scope the opportunity; SAs execute it. Technical Account Managers take it from production onward.
We're looking for a
Manager, ML Solutions Architecture
to lead our US regional
SA
teams. Your scope is
PoC delivery and post-sales technical support
: the people who do it, the standard they do it to, and the operating cadence that keeps it predictable. You will report to the Head of Solutions Architecture and partner with a peer manager in the other region.
We expect you to push people when they need pushing, make the uncomfortable call when deliverables don't land even though the effort was real, and take ownership of the documentation work: implement and monitor the following of the guidelines, ticket hygiene, and making sure the team actually uses all three.
You're welcome to work remotely from
the United States.
Your responsibilities will include:
Lead the team
Manage a team of 4 Solutions Architects, with continued growth planned: 1:1s, goal setting, performance reviews, promotion cases, and individual growth plans
Build an accurate picture of each
SA
's strengths, gaps, and preferences, and allocate accounts and engagements against both expertise and interest
Run the cadence that surfaces blockers early, then take them to the development, product, and business teams that can clear them, and stay on them until they do
Hold people to outcomes: distinguish effort from delivered results, say so plainly when the two diverge, and reflect it in ratings and compensation decisions
Onboard new joiners through to their first independently delivered engagement
Coach SAs into stronger engineers and stronger communicators, and make deliberate calls about who is ready for more scope
Own delivery
Be accountable for your team's delivery outcomes: time from PoC kick-off to first optimized dedicated endpoint, success-criteria hit rate, and the quality of the technical relationship after the customer goes to production
Review technical work before it reaches the customer: benchmarking methodology, serving configurations, results, closure documents; catch the wrong conclusion drawn from a metrics artifact before a customer sees it
Ensure staffing and escalation coverage across accounts and timezones, including post-sales request load that does not respect sprint boundaries
Call infeasibility early and with evidence, rather than letting the team burn iterations against requirements the platform cannot meet today
Own the operating system of the team
Maintain and extend the team's documentation: responsibilities, runbooks, guides, onboarding, definitions of done, engagement closure templates. Keep it accurate and reachable; link, don't copy
Get it
used
, not just written: documentation nobody reads is a cost, not an asset
Keep the ticket tracker the system of record, so PoC and production status is readable without asking anyone
Instrument the work: define and report the metrics that show whether delivery is getting faster and more reliable over time
Work across teams
Development and research teams: convert recurring customer pain into prioritized platform work, and represent the customer's technical reality in roadmap discussions
Pre-sales: hold the scoping-to-execution boundary: push back on under-scoped engagements, and feed feasibility signal back upstream
Account management: make production handoffs uneventful, and keep post-sales technical requests moving
Business and leadership: give a straight read on account health, technical feasibility, and capacity needs
We expect you to have:
3+ years managing technical teams, including performance management and difficult conversations
Experience managing a customer-facing team.
Running a team whose work is visible to customers, on customer timelines, with customer escalations.
Strong ML knowledge:
LLM architectures, fine-tuning approaches (
SFT
/
LoRA
,
RL
-based), evaluation design, and a working command of inference internals — quantization,
KV
-cache management, batching, routing, speculative decoding — and of the frameworks the team works in (vLLM, SGLang, TensorRT-LLM)
Enough technical judgment to review someone else's benchmark and find the flaw in the methodology, not just in the conclusion
Python strong enough to read and review your team's code
Excellent communication skills, with the ability to clearly explain technical concepts to diverse audiences, from engineers to executives, including in front of enterprise customers under pressure
Genuine tolerance for operational work: documentation, process design, reporting, and the follow-through that makes them stick
Comfort operating with ambiguity across distributed teams and timezones, and a bias toward writing things down
It would be an added bonus if you have:
References from both former managers and former direct reports
Experience scaling a team through rapid growth (5 → 15+) without losing delivery quality
Prior experience in a customer-facing technical function at a cloud, inference, or AI infrastructure provider
Experience defining process and documentation for a team that had none
Hands-on background running LLMs in production and debugging inference workloads at the framework level
Work with multimodal AI models (vision-language, speech)
Proficiency with DevOps tooling (Docker, Kubernetes) and infrastructure-as-code
Preferred technical stack:
Programming languages:
Python
ML frameworks and libraries:
vLLM, TensorRT-LLM, SGLang, Transformers, OpenAI/Anthropic SDKs
MLOps and DevOps tools:
Kubernetes (K8s), Docker, Git
Cloud platforms:
AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML)
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$228,000
—
$285,000 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Riyadh, Saudi Arabia; Al Khobar, Saudi Arabia; Dubai, United Arab Emirates; Lusail, Qatar
The Public Relations Representative will support the
Gas Business
through media monitoring, media coordination, content development, and executive communications.
The role requires a strong understanding of media channels and the ability to identify and communicate important information related to the Gas Business. The successful candidate will also develop
high-level speeches, executive messages, media content, and communication materials
and support the creation and editing of video and visual content.
Key Responsibilities.
Monitor local, regional, and international media channels and identify important information, news, trends, and developments related to the Gas Business.
Analyze media coverage related to the Gas Business and highlight key opportunities, risks, and reputational issues for management.
Develop and maintain direct communication channels with the Upstream and Corporate Media departments.
Identify opportunities to publish Gas Business-related content through domestic and international media channels.
Develop high-level speeches, executive talking points, key messages, statements, and briefing materials for senior leadership.
Write high-quality media content, articles, press releases, announcements, and other corporate communication materials related to the Gas Business.
Convert complex technical and business information into clear, engaging, and impactful content suitable for executive and external audiences.
Develop, edit, and support the production of videos, presentations, graphics, and other multimedia content related to the Gas Business.
Coordinate with internal stakeholders to identify Gas Business projects, achievements, initiatives, and success stories suitable for media exposure.
Ensure all media and communication content is accurate, professionally written, aligned with corporate messaging, and suitable for domestic and international audiences.
Requirements
Bachelor's degree in
Communications, Public Relations, Journalism, Media, Business Administration, Management
, or a related field.
Relevant experience in
Public Relations, Media, Corporate Communications, Journalism, or Content Development
.
Strong experience in
professional writing and executive speech development
.
Excellent English writing, editing, and communication skills.
Strong understanding of media channels and media communication.
Experience in
video editing, graphic design, or multimedia content creation
is preferred.
Experience in the
Oil & Gas, Energy, or Gas Business
is highly desirable.
Riyadh, Saudi Arabia; Al Khobar, Saudi Arabia; Dubai, United Arab Emirates; Lusail, Qatar
seniorUnited States, Remote
Hong Kong
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УдалённоUnited Arab Emirates (remote); Kuwait (Remote); Bahrain (Remote); Qatar (Remote); Saudi Arabia (remote)
География найма не уточнена
УдалённоleadRemote Canada
УдалённоleadRemote US
ГибридNew York; San Francisco
ОфисAtlanta, GA
УдалённоseniorUnited States (Remote)
УдалённоEnsure staffing and escalation coverage across accounts and timezones, including post-sales request load that does not respect sprint boundaries; Comfort operating with ambiguity across distributed teams and timezones, and a bias toward writing things down
УдалённоRemote - United States; Ensure staffing and escalation coverage across accounts and timezones, including post-sales request load that does not respect sprint boundaries; Comfort operating with ambiguity across distributed teams and timezones, and a bias toward writing things down
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