Location: Lagos, Nigeria
Role Summary
The Card Product Analyst supports the development and optimization of card products by analyzing product performance, customer behavior, and financial metrics. The role provides insights that inform product strategy, pricing, and portfolio growth.
Key Responsibilities
Product Performance Analysis
· Monitor card portfolio performance including spend, activation, utilization, and revenue.
· Track KPIs such as card issuance, transaction volumes, and interchange income.
Data Analysis & Insights
· Analyze customer usage patterns and spending behaviors.
· Provide insights to support product enhancements and marketing campaigns.
Reporting & Dashboard Management
· Develop and maintain product performance dashboards.
· Prepare regular reports for management and stakeholders.
Pricing & Profitability Analysis
· Support pricing strategy through revenue and cost analysis.
· Evaluate profitability across different card products and customer segments.
Product Development Support
· Assist in business case development for new card products.
· Support product launch initiatives with data analysis and performance tracking.
Requirements
· Bachelor’s degree in Finance, Economics, Data Analytics, or related field.
· 2–4 years experience in product analytics, banking analytics, or payments analytics.
· Strong experience with Excel, SQL, Power BI, or similar tools.
Location: San Francisco, CA; New York, NY
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU’LL DO
As a Forward Deployed Infrastructure Engineer at Sierra, and a founding member of this function, you will own the end-to-end lifecycle of customer deployments, while helping define how Sierra’s AI platform is deployed and operated across enterprise environments. You'll work directly with enterprise customers to architect, deploy, upgrade, and manage Sierra's AI platform infrastructure — ensuring every deployment meets their security, compliance, and operational requirements. In addition, you’ll establish the standards, tooling, and processes that make deployments scalable and repeatable, and partner cross-functionally with Engineering, Product, Sales, and Customer Success. This role will define how Sierra scales some of its most complex customer engagements.
- Own deployment architecture conversations and execution — designing and implementing deployment strategies across customer environments, including VPC configuration, permissioning, networking, and infrastructure provisioning.
- Manage the full infrastructure lifecycle for some of Sierra’s most critical customers: initial deployment, ongoing upgrades, scaling, and incident support.
- Develop and maintain deployment runbooks, upgrade procedures, and automation tooling to make operations repeatable and reliable.
- Partner with engineering teams to ensure Sierra's platform is deployable and operable across diverse customer requirements.
- Work with customers' platform engineering, security, and DevOps teams to navigate their infrastructure constraints and compliance requirements.
- Collaborate with Sales and Customer Success to scope infrastructure requirements during pre-sales and onboarding, translating customer needs into concrete deployment plans.
WHAT YOU'LL BRING
- 4+ years of experience in infrastructure, DevOps, platform engineering, or solutions architecture roles — with significant time spent on customer-facing deployment work.
- Deep experience with AWS services, Terraform, container orchestration, and cloud networking (VPCs, IAM, DNS, load balancing).
- Track record of managing deployments in customer-owned cloud environments, including navigating security reviews, compliance requirements, and change management processes.
- Ability to navigate ambiguity with enterprise stakeholders — from platform engineers to CISOs — and turn infrastructure conversations into actionable deployment plans.
- Strong operational instincts: you think about upgrades, rollbacks, monitoring, and failure modes from the start, not as an afterthought.
- Comfortable working in a fast-moving environment and collaborating across engineering, product, and go-to-market teams.
- Degree in Computer Science or a related field, or equivalent professional experience.
EVEN BETTER…
- Hands-on experience with Go services, GraphQL APIs, or LLM infrastructure in production environments.
- Past experience at an early-stage company where you built deployment operations, playbooks, and tooling.
- Familiarity with observability and incident management in distributed systems (Prometheus, Grafana, Datadog, or similar).
- Experience with CI/CD pipeline design, deployment automation, or infrastructure self-service tooling for enterprise customers.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: Seattle, WA
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
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We're building AI-native development practices into how this team works at a foundational level. That means infrastructure design needs to account for a new kind of collaborator: AI agents that generate, deploy, and operate software. The Senior Software Engineer, Billing on this team will keep systems running, help define what safe, observable, AI-assisted infrastructure operations look like in practice, and model that standard for the rest of the team.
WHAT YOU'LL WORK ON
The Billing Platform Engineering team owns the systems that make Docker's commercial model real. You'll work on problems like:
- How do we design infrastructure that makes AI-generated deployments safe to ship and easy to roll back?
- How do we instrument billing systems so that failures — billing miscalculations, entitlement gaps, payment errors — are detected immediately and unambiguously?
- How do we build infrastructure that scales with usage-based billing workloads without manual intervention?
- How do we make the developer experience on this team faster and more reliable — local environments, CI/CD pipelines, deployment tooling?
RESPONSIBILITIES
- Own and evolve the infrastructure supporting Billing Platform services: compute, storage, networking, CI/CD, and observability
- Design and maintain IaC (Terraform) for billing system infrastructure on AWS; contribute to module patterns and standards for the team
- Build and own observability systems — metrics, logging, alerting — with a focus on billing accuracy and payment reliability
- Implement deployment patterns and runbooks that work well in an AI-agent-assisted development workflow: clear rollback procedures, safe promotion gates, automated validation
- Partner with software engineers on service design — bringing infrastructure constraints and operational requirements into the conversation before code is written
- Identify systemic risks in the team's systems and drive improvements, including work that reaches into adjacent teams or services
- Participate in incident response for billing system issues. This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed.
- Mentor engineers on the team; your technical judgment should help raise the bar for how the team builds and operates
QUALIFICATIONS
- 6+ years in platform, infrastructure, or SRE roles supporting production SaaS systems at scale
- Strong AWS expertise: ECS or EKS, RDS (Postgres preferred), networking, IAM, cost management — you've operated these systems under real load and real incidents
- Strong Terraform skills; you've built reusable module patterns and can improve the ones a team relies on
- Experience building and owning observability stacks (Datadog, Grafana, or similar) for production services — not just using them
- Strong familiarity with CI/CD systems — Jenkins, GitHub Actions, or equivalent — including pipeline design and developer experience
- Kubernetes at an operational and architectural level
- A track record of identifying systemic risks and driving improvements within your team and adjacent systems
- Security-first mindset: threat modeling, blast radius analysis, least-privilege by default, audit trails as a design requirement
- Strong written English; clear written communication is how you scale your work across the team
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
ON-CALL
Operational ownership is part of the job. You’ll join the rotation after onboarding and shadowing, and help improve on-call itself: better alerts, stronger runbooks, less toil, and blameless postmortems aimed at prevention.
WHAT SETS YOU APART
You don't wait for problems to be handed to you — you find them, frame them, and drive the solution. You've operated at a scope where your decisions affected the systems your team owns, and you know how to build alignment and move work forward without direct authority. You've thought seriously about what infrastructure needs to look like when AI agents are generating and shipping code — safe deployment patterns, strong observability, clean rollback — and you want to help define that standard here. Experience with billing, payments, or financial systems infrastructure is a meaningful plus.
WHAT TO EXPECT
First 30 days
You will ship code in your first week. We run an agent-first development workflow — infrastructure changes start with a plan, specifications are written before generation, and every change is reviewed before it merges — and onboarding is no exception. You will get hands-on with the infrastructure supporting Billing Platform services early, shadow on-call, and build a clear picture of the system before you start making bigger changes. By the end of 30 days you will have shipped real work and know where the most important problems are.
First 90 days
You will have taken ownership of one or more infrastructure components and delivered an improvement from design to production with measurable impact. You will be an active participant in deployment and reliability discussions, bringing infrastructure constraints and operational requirements into the conversation early — before code is written. You will be a full participant in the on-call rotation and will be contributing to the team's technical direction.
One year outlook
You will be one of the team's go-to engineers on billing infrastructure. You will have driven meaningful improvements to observability, deployment safety, or platform reliability — and your work will be directly visible in the resilience and correctness of systems that handle real financial transactions for millions of Docker users. You will have helped define what AI-agent-assisted infrastructure operations look like done right.
Docker considers visa sponsorship on a case-by-case basis based on business needs.
Compensation & Equity
United States: $160,900 – $260,700 + equity
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POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
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PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: San Francisco; Palo Alto
PERPLEXITY IS LOOKING FOR PRODUCT MANAGERS TO JOIN A HIGHLY LEVERAGED, SMALL TEAM FOR BUILDING NEW PRODUCTS THAT INNOVATE TO ACCELERATE HUMAN PRODUCTIVITY.
In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.
Product managers at Perplexity work closely with design and engineering, focusing on the core Computer and search experience. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and willingness to reimagine work to be more efficient and creative. Ideal candidates have a passion in a particular industry that they are domain experts in: in the application please highlight which industry you are most interested in innovating.
WHAT YOU'LL DO
- Anticipate opportunities for innovation and value in enterprise industries.
- Envision new experiences and deliver a long-term vision.
- Understanding of levers for product-led growth and retention.
- Work closely with engineering and design to align product expectations and capabilities.
- Work with research to evaluate and steer nondeterministic models into the high value outcomes for users.
- Work with data and user research to understand quantitative and qualitative data.
- Have conviction to make difficult product decisions in the face of uncertainty.
QUALIFICATIONS
- Strong experience with product management and leadership.
- Strong experience working with data and metrics.
- Experience with productivity and knowledge work products.
- Experience with prototyping and data visualization.
- Experience with building data driven flywheels for iterative improvement.
- Thrives in a small, agile team: has initiative and desire for ownership.
- 4+ years of product management experience.
OUR MISSION
Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
Location: Georgia
Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.
Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.
We are seeking a dynamic and motivated Senior AI NodeJS Engineer with a strong focus on developing AI Agents. If you have an understanding of AI technologies and thrive on applying diverse tech stacks to build innovative solutions, we want to hear from you. This role involves not only technical expertise but also collaboration with clients to understand and refine project requirements.
WHAT YOU WILL DO
- Collaborate with cross-functional teams to design and build AI Agentic solutions.
- Contribute to defining technical requirements and implementing features across the software lifecycle - from proof of concept through implementation to evaluation and production.
- Take ownership of assigned tasks and deliver high-quality, maintainable code.
- Manage backend tasks while contributing to frontend development.
- Stay informed about trends and advancements in AI and related fields, continuously learning and integrating new knowledge.
- Employ a pragmatic, evaluation-driven approach to adopting innovative AI solutions.
EXPERIENCE AND SKILLS YOU NEED TO JOIN US
- Experience in full-stack development using mainly NodeJS (with TypeScript).
- At least 1 year of experience in AI Engineering role.
- Versatile in technology use, comfortable working across backend and frontend tasks.
- Track record in staying current with AI and Agentic technologies, including best practices and architecture.
- Openness to client collaboration, fostering clear communication and effective partnership.
- Strong commitment to learning new technologies and swiftly adapting to new products and APIs.
- Understanding of Retrieval-Augmented Generation (RAG) and its applications.
- Familiarity with Multi-Agents concept, tools usage and MCP Servers.
- Hands-on experience with LLM APIs/SDKs (e.g., OpenAI, Anthropic).
- Knowledge of LLM orchestration and frameworks like Langchain or LlamaIndex, with practical implementation experience.
- Understanding of prompt design principles and an ability to create effective prompts.
- Experience configuring services on cloud platforms (e.g. AWS, Azure, GCP).
- Basic experience with CI/CD pipelines and DevOps best practices.
- Competence in REST API usage and efficient database integration.
- Fluency in English language.
IT WOULD BE GREAT IF YOU ALSO HAVE
- Basic knowledge of machine learning principles.
- Understanding Python source code.
- Experience with React.
- Experience with model fine-tuning and distillation.
- Familiarity with LLM evaluation.
- Experience with Model Context Protocol (MCP).
- Experience with graph databases.
- Familiarity with other programming languages and frameworks.
- Familiarity with Voice Agents concepts and related frameworks e.g. Pipecat.
When you join Solvd, you'll…
- Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
- Be part of a global team with equal opportunities for collaboration across continents and cultures.
- Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.
Ready to make an impact?
If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.
Solvd is an equal opportunity employer.
Location: New York; Stockholm
Workplace: OnSite
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
We’re looking for an Infrastructure Security Engineer to design and secure the core systems that power our platform. This role focuses on building security directly into our infrastructure: from container isolation and orchestration to identity and secrets management in a multi-tenant, cloud-native environment.
You’ll work closely with engineering teams to define secure primitives and ensure our platform is resilient, scalable, and trustworthy by design.
This is a hands-on, deeply technical role focused on real systems, not compliance or policy.
WHAT YOU’LL WORK ON:
Platform & Runtime Security
- Design and improve isolation mechanisms for multi-tenant workloads (containers, sandboxing, execution environments)
- Strengthen boundaries between customers, workloads, and internal systems
- Identify and mitigate risks in distributed, dynamic compute environments
Container & Orchestration Security
- Secure and harden containerized workloads and orchestration systems (e.g., Kubernetes or similar)
- Improve workload isolation, scheduling boundaries, and runtime protections
- Evaluate tradeoffs in multi-tenant execution models
Identity & Access Management
- Design and improve authentication and authorization systems across services
- Implement strong service-to-service identity and least-privilege access patterns
- Improve access controls across infrastructure and internal systems
Secrets & Key Management
- Build and maintain systems for securely managing secrets, tokens, and credentials
- Improve rotation, auditing, and access controls
- Reduce secret sprawl and integrate secure patterns into developer workflows
Cloud & Infrastructure Security
- Secure cloud environments across providers (AWS, GCP, etc.) with a focus on consistency and portability
- Improve network boundaries, service segmentation, and access controls
- Embed security into infrastructure-as-code and deployment systems
Engineering Partnership
- Work closely with product and infrastructure teams to design secure systems from the ground up
- Review architecture and code for security risks and provide actionable guidance
- Identify patterns in risks and drive cross-cutting improvements
YOU MAY BE A FIT IF:
Core Experience
- You have experience securing cloud-native infrastructure and distributed systems in production
- You have a background in infrastructure, backend, or security engineering
- You’ve worked in multi-tenant or high-scale environments
Technical Depth
- You have a strong understanding of containerization and orchestration systems (e.g., Kubernetes or similar)
- You’ve designed or secured isolation mechanisms in multi-tenant systems
- You have a solid understanding of authentication, authorization, and service identity models
- You have experience with secrets management and secure handling of credentials
- You have a strong foundation in networking concepts (segmentation, service communication, access boundaries)
Mindset
- You have a builder mentality: you design and implement, not just review
- You take a pragmatic approach to security in fast-moving environments
- You’re comfortable working deeply with engineers and influencing system design
NICE-TO-HAVE:
- Experience with sandboxing or runtime isolation technologies (e.g., gVisor, Firecracker, seccomp, or similar)
- Familiarity with kernel-level or low-level isolation primitives
- Experience securing Kubernetes or similar orchestration systems in production
- Background in developer infrastructure, compute platforms, or multi-tenant systems
Location: Dubai, United Arab Emirates
Müller's Solutions is seeking a Senior AI Maturity & Readiness Consultant for a 6-month contract role. In this position, you will work closely with clients to assess their current AI capabilities, develop strategic roadmaps, and prepare organizations for successful AI adoption and scaling. Your expertise will guide businesses to enhance their AI maturity and ensure operational readiness, enabling them to leverage AI technologies effectively and responsibly.
Key Responsibilities:
Assess clients' current AI maturity levels through comprehensive evaluations of processes, technologies, data infrastructure, and organizational readiness.
Develop detailed AI readiness frameworks and strategic roadmaps tailored to client goals and industry requirements.
Provide expert guidance on best practices for AI implementation, governance, and ethical considerations.
Collaborate with cross-functional teams to identify gaps, risks, and opportunities related to AI adoption.
Facilitate workshops and training sessions to enhance client understanding of AI technologies and their impact.
Monitor emerging AI trends and evolving technologies to offer up-to-date advice and innovative solutions.
Support clients in developing change management strategies to foster an AI-ready culture within their organizations.
Requirements
Requirements:
Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
Minimum of 7 years of experience in AI strategy, AI consulting, or related roles.
Proven track record of assessing AI maturity and developing AI readiness frameworks.
Strong understanding of AI technologies, machine learning, data management, and AI ethics.
Experience working with cross-functional teams and stakeholders at various organizational levels.
Excellent communication, presentation, and facilitation skills.
Ability to manage consulting engagements independently within the 6-month contract period.
Strong analytical and problem-solving skills, with a strategic mindset.
Benefits
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.
Location: Dubai, United Arab Emirates
Müller's Solutions is seeking a seasoned Senior AI Framework & Strategy Consultant for a 6-month contract. In this pivotal role, you will build AI Frameworks and Strategic Planning , lead the development and implementation of AI strategies that align with our clients’ business goals. You will provide expert guidance on AI frameworks, deployment methodologies, and technological innovations to drive digital transformation and competitive advantage. This role requires a blend of strategic vision, deep technical expertise, and proven consulting experience.
Responsibilities:
Building AI Frameworks and Strategic Planning.
Develop comprehensive AI strategies and frameworks tailored to client business objectives and technological environments.
Advise clients on AI technology selection, integration, and implementation best practices.
Lead workshops and training sessions to educate client teams on AI capabilities, benefits, and governance.
Collaborate with multi-disciplinary teams to design AI-driven solutions addressing complex business challenges.
Stay current with emerging AI trends, tools, and ethical considerations to provide forward-looking guidance.
Evaluate existing AI solutions and recommend enhancements to optimize performance and scalability.
Support business development efforts through thought leadership, proposal development, and client engagement.
Requirements
Master’s degree or higher in Artificial Intelligence, Computer Science, Data Science, or a related field.
At least 8 years of experience in AI strategy development, consulting, or implementation roles.
Strong expertise in AI frameworks, machine learning algorithms, and deployment methodologies.
Proven track record of leading AI projects and delivering measurable business value.
Excellent communication skills, capable of articulating complex AI concepts to technical and non-technical stakeholders.
Experience conducting workshops and facilitating training sessions.
Ability to stay ahead of AI technology trends and apply innovative solutions creatively.
Familiarity with AI ethics, governance, and compliance considerations.
Consulting experience with multinational clients and diverse industries is a plus.
Benefits
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.
Location: Bengaluru, India
NetWitness is revolutionizing how organizations detect, investigate, and respond to cyber threats. As a leader in SIEM (Security Information and Event Management) and NDR (Network Detection and Response), plus Extended Detection & Response (XDR), we're not just another cybersecurity vendor - we're the unified platform that gives security analysts unrivaled visibility into sophisticated threats hiding in today's complex, hybrid IT infrastructures.
As a Sales Engineer, you will play a pivotal role in driving the adoption of our solutions and services. You will work closely with customers as their trusted advisor, and with the sales team to provide technical expertise and support throughout the sales process. Your deep understanding of our products, services, and the cybersecurity landscape will enable you to effectively address customer needs and demonstrate the value of our solutions. You will also participate and speak at trade shows, seminars, and other marketing events where the company is actively participating.
Responsibilities:
Serve as the primary technical point of contact throughout the sales cycle.
Collaborate with the sales team to develop and execute successful sales strategies.
Conduct in-depth technical presentations and product demonstrations, effectively communicating the technical capabilities and business value of the Company solutions.
Build and maintain strong technical relationships with key customer stakeholders and be the customer’s trusted advisor.
Understand customer's security challenges, technical requirements, and existing infrastructure to propose tailored solutions.
Design, deploy, and manage Proof-of-Concepts (POCs) and evaluations, ensuring successful outcomes and demonstrating the effectiveness of the Company solutions.
Assist in the creation of technical documentation, proposals, and RFP responses.
Deliver health-checks and workshops for existing customers, retaining and expanding their footprint.
Develop and maintain a thorough understanding of our products, competitive landscape, and industry trends.
Stay up to date on the latest cybersecurity threats, attacks, and trends.
Work closely with the product management and engineering teams to relay customer feedback, market trends, and contribute to product development.
Participate in industry events, trade shows, and conferences to promote our solutions and generate leads.
Own and maintain the technical relationship with the Company partners community within the assigned territory.
Provide technical training and support to sales team members and partners
Requirements
3+ years of experience in a sales engineering, technical pre-sales, security consulting, or similar roles in the cybersecurity industry.
Excellent communication and presentation skills, with the ability to adapt and convey complex technical concepts to both technical and non-technical audiences.
Deep understanding of networking protocols, network security concepts, and security architectures.
Strong knowledge of threat detection methodologies, incident response processes, and common attack vectors.
Experience with Threat Detection and Response solutions, such as SIEM, NDR, EDR, UEBA, and SOAR.
Proven ability to conduct effective product demonstrations and POCs.
Proven track record of supporting successful sales cycles and achieving sales targets.
Industry certifications such as CISSP, CEH, SANS, or similar are a plus.
Familiarity with Linux CLI and basic scripting/programming skills.
Willingness to travel as needed to meet with customers and attend industry events.
Team player, with a genuine collaborative attitude and willingness to share with and inspire others.
Location: Morocco
We are looking to hire passionate Senior AI Engineers to help turn data into intelligent, production-ready solutions. You will work across the full AI stack: traditional machine-learning models, large language models (LLMs), computer-vision pipelines, and analytics / forecasting workflows. If you enjoy exploring data, building state-of-the-art models, and shipping reliable AI services, we would love to meet you.
Responsibilities
Model Development – Design, train, fine-tune, and evaluate models spanning classical ML, deep learning (CNNs, transformers), and generative AI (LLMs, diffusion).
Data Exploration & Analytics – Conduct exploratory data analysis, statistical testing, and time-series / forecasting to inform features, prompts, and business KPIs.
End-to-End Pipelines – Build reproducible workflows for data ingestion, feature engineering / prompt stores, training, CI/CD, and automated monitoring.
LLM & Agentic AI Engineering – Craft prompts, retrieval-augmented generation (RAG) pipelines, and autonomous/assistive agents; fine-tune LLMs on domain-specific datasets to boost accuracy and align outputs with product requirements.
AI Automation & Integration – Expose AI components as micro-services and event-driven workflows; integrate with orchestration tools (Airflow, Prefect) and business APIs to automate decision pipelines.
Continuous Learning – Track advances in LLMs, vision, and analytics; share insights and best practices with the wider engineering team.
Mentor junior engineers and contribute to technical direction and engineering best practices.
Requirements
BSc in Computer Science, Mathematics, or related field.
5+ years of professional experience working on AI/ML projects.
Good command of English and Arabic (written and spoken).
Proficient in Python and core libraries (PyTorch / TensorFlow, scikit-learn, pandas, NumPy).
Solid understanding of machine-learning algorithms, deep-learning fundamentals, and basic statistics.
Experience with data wrangling and visualization (Matplotlib / Plotly) and exploratory analysis.
Familiarity with at least one of: OpenCV, Hugging Face Transformers, LangChain, MLflow, or similar.
Good grasp of software-engineering best practices: Git, code reviews, testing, CI.
Preferred Qualifications
Knowledge of C++ or C# for performance-critical modules.
Experience deploying models via Docker, Kubernetes, or cloud AI services.
Exposure to vector databases and RAG workflows.
Skill in BI / dashboard tools (Power BI, Tableau, Streamlit) or time-series frameworks (Prophet, statsmodels).
Familiarity with MLOps / LLMOps tooling (DVC, MLflow Tracking, Weights & Biases, BentoML).
Experience with image processing techniques (e.g., OpenCV, image segmentation, feature extraction)
Experience with Spark (PySpark) and distributed data processing, including usage of platforms such as Databricks, AWS EMR, or GCP Dataproc.
Strong SQL skills and experience working with large-scale datasets, including partitioning and performance tuning.
Familiarity with modern data lake architectures and scalable data storage concepts.
Location: Dhahran, Saudi Arabia
Eram Talent is seeking a skilled Mechanical Engineer - Pipelines (EPC) to join their team. The successful candidate will be responsible for the design, analysis, and execution of pipeline projects within the Engineering, Procurement, and Construction (EPC) sector, ensuring adherence to industry standards and project requirements.
Responsibilities
Design and develop pipeline systems, including material selection, stress analysis, and fabrication.
Coordinate with multidisciplinary teams to ensure seamless project execution.
Review and approve engineering documents, drawings, and specifications related to pipeline projects.
Conduct site visits to oversee installation and commissioning of pipeline systems.
Ensure compliance with safety regulations, codes, and industry standards.
Support procurement activities by providing technical specifications and vendor evaluations.
Assist in troubleshooting and resolving technical issues during construction and commissioning phases.
Requirements
Bachelor's degree in Mechanical Engineering or related field.
Minimum of 12 years of experience in mechanical engineering, specifically in pipeline design, project management and EPC projects.
Proficiency in pipeline design software and tools such as AutoCAD, CAESAR II, or similar.
Strong knowledge of pipeline codes and standards (e.g., ASME, API).
Experience in project management and coordination within EPC environments.
Excellent analytical, communication, and problem-solving skills.
Ability to work effectively in a team and manage multiple tasks under tight deadlines.
Location: Tbilisi, Georgia
Workplace: remote
Novakid is on a mission to build the best online education platform for kids worldwide. We’ve already got over 100,000 students and 4,500 teachers making learning awesome in over 15 countries in Asia, Europe and Latin America. But we’re not stopping there—we need your help to take things to the next level!
We are looking for an experienced Product Analyst with strong SQL skills and solid experience in working with business data who can apply his/her expertise to help us grow.
You will:
Work closely with the acquisition team to support them with accurate, reliable, and timely data insights
Own and drive growth of key acquisition funnel metrics
Develop and maintain dashboards, perform ad-hoc analyses and deliver actionable insights to the acquisition team
Ensure high quality of data collection and contribute to technical decisions that improve data pipelines and reporting systems
Apply machine learning techniques to improve acquisition efficiency
Collborte on development and evaluation of ML models (feature design, validation, interpretation of results)
Use data-driven approaches to optimise user acquisitionSupport experimentation with advanced methods
You have:
3+ years of relevant experience as a Product Analyst (preferably in a B2C or fast-growing company)
Excellent SQL skills with hands-on experience in relational and columnar databases (we use Google BigQuery)
Experience in building data models and data martsExperience with BI tools (Metabase, Tableau, PowerBI — we primarily use Metabase)
Strong analytical mindset and good understanding of statistical methodsHands-on experience with A/B testing, from design to statistical evaluationKnowledge of Python for data analysis (pandas, numpy, scikit-learn, etc.)
Experience applying ML in business contextsUnderstanding of causal inference / uplift modeling is a strong plus
Good presentation and communication skills to explain findings clearlySolid English skills for business communication (B1+)
What we offer:
Fully remote work.
A chance to shape the future of AI-driven education.
A fun, dynamic team that loves building innovative products.
Unlimited holidays – because we trust you to deliver.
Bonuses and stock options – we grow together.
Location: Colombia; Argentina; Mexico; Honduras; Peru
Job Title:
Talent Acquisition Team Leader
Location:
Remote (Open to all LATAM Countries)
Employment Type:
Contractual
Work Schedule:
8:00 AM – 5:00 PM PT
Reports to:
Talent Acquisition Director
Overview:
We are seeking a highly motivated and detail-oriented Talent Acquisition Team Leader to support our Talent Acquisition Director in overseeing recruitment operations. This role is ideal for someone who is proactive, organized, and possesses strong leadership, communication, and problem-solving skills. The Talent Acquisition Team Lead will play a key role in ensuring team performance, maintaining quality standards, and driving continuous improvement across the recruitment process.
Key Responsibilities:
Support the Talent Acquisition Director in managing the day-to-day operations of the recruitment team
Monitor team performance and ensure KPIs (e.g., time-to-fill, submissions, interview-to-hire ratios) are consistently met
Ensure recruiting processes and best practices are strictly followed across the team
Evaluate interviews conducted by recruiters and provide feedback to improve quality and effectiveness
Conduct regular quality checks on candidate profiles before submission to ensure alignment with role requirements and client expectations
Train, mentor, and onboard Talent Acquisition Specialists to enhance their skills and performance
Identify performance gaps and implement coaching or corrective actions as needed
Collaborate with internal stakeholders to ensure smooth communication and alignment throughout the hiring process
Assist in developing and improving recruitment strategies, workflows, and standards
Maintain high standards of professionalism, accountability, and team morale
Qualifications:
Proven experience in Talent Acquisition, Recruitment, or a similar role, with exposure to team management or leadership responsibilities
Strong understanding of recruiting metrics and performance management
Experience in training, mentoring, or coaching recruiters or Talent Acquisition Specialists
Excellent communication skills (both verbal and written)
Strong attention to detail and ability to assess candidate quality effectively
Highly organized with the ability to manage multiple priorities in a fast-paced environment
Problem-solving mindset with a proactive and positive attitude
Ability to enforce processes while maintaining strong working relationships with the team
What We’re Looking For:
Someone who is smart, resourceful, and takes ownership of their work
A strong team player with a great attitude and a high level of professionalism
A leader who can balance accountability with support and mentorship
A clear and confident communicator who can work effectively across all levels
Someone who’s willing to learn and has a “can-do” attitude.
Budget: $1000-1200/month
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:
As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping customers understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your technical depth with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.
As a Commercial Solutions Architect, you'll go deep with priority accounts as a hands-on builder, while creating reusable blueprints, demos, and enablement that extend Claude's reach across the broader Commercial book of business.
Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
Responsibilities:
Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
Serve as the primary technical advisor to customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams and stakeholders to drive customer success
Support customers building with the Claude API, Claude Code, and Claude for Enterprise
Ship working code. Build prototypes and proof-of-concepts hands-on, develop eval frameworks, and write near-production examples that customers can extend
Build reusable blueprints, demos, and enablement assets that scale across customers
Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
Identify common integration patterns and contribute insights back to our Product and Engineering teams
Travel occasionally to customer sites for workshops, technical deep dives, and relationship building
Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
You may be a good fit if you have:
3+ years of highly technical experience as a software engineer (or equivalent) with some customer-facing exposure, OR 3+ years as a Solutions Architect, Sales Engineer, or Technical Account Manager with strong hands-on building experience
A builder identity. You've shipped real software, you have technical taste, and you care about the craft of what you build
A systems mindset. When you see a problem, your instinct is to ask "how do I make this reusable." You'd rather build one thing that serves ten customers than ten things that serve one each
Strong coding ability. You ship prototypes regularly and can work in a real codebase, not just notebooks. Comfort with Python expected
Strong ability to build trust with technical stakeholders and adjust your communication for varied audiences
Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Familiarity with common LLM frameworks and tools, or a background in machine learning or data science
Comfort operating in early-stage, ambiguous environments where the playbook doesn't exist yet, and a track record of building structure as you go
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
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:
$240,000
—
$315,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: US, Boston, MA
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
As a Senior Platform Software Engineer at Humanoid, you will be at the heart of developing the core OS, data networks and protocols, and fundamental software subsystems for our next-generation humanoid robots. You will help develop the foundational software architectures that allow high fidelity robotic controls and AI development. You will be responsible for writing high-integrity software that runs on our robots, integrating sensors, safety systems, and computing platforms to enable safe human-robot collaboration.
In this role, you will have the opportunity to take full ownership of new systems and directly contribute to the development of our future products. If you are interested in complex embedded software projects, thrive in a fast-paced, collaborative environment, and want to make a real impact on the future of human-robot interaction, we want you on our team!
WHAT YOU’LL DO
- Design & Create Embedded Software: Develop and validate embedded software that ensures our robots can operate at scale in the real world.
- Hardware & Software Integration: Work at the intersection of hardware and software to integrate various robotic components (e.g., sensors, actuators, computing platforms) into a cohesive, fault-tolerant system.
- Lead Cross-Functional Projects: Lead interdisciplinary projects that involve robotic perception, computing subsystems, and software integration, collaborating with engineers across multiple domains.
- Test & Evaluate Systems: Integrate new systems with our robots to test, validate, and ensure that they meet safety requirements and perform reliably in real-world conditions.
- Build Infrastructure for Innovation: Contribute to the development of tools, infrastructure, and operational practices within a small, agile R&D team focused on unlocking new capabilities for Humanoid robots.
- Drive Safety in Robotics: Be part of a team working at the cutting edge of technology to improve the safety and performance of robots operating in real-world, human-centric environments.
- Collaborate Across Teams: Work closely with electrical engineers, software developers, robotics control experts, physical AI developers, and other team members to integrate software systems with robotics hardware, ensuring seamless operation and performance.
WHAT WE'RE LOOKING FOR
- 5+ years of experience developing and deploying production software in embedded systems running Linux (C++, C, Rust, Python, Go).
- Experience developing time-sensitive, performance-critical applications.
- Thorough understanding of Ethernet and IP networking and higher-level protocols like HTTP or gRPC.
- Experience with Linux build environments like Yocto or Buildroot.
- Experience in building Linux kernels and modifying or writing device drivers.
- Experience with NVIDIA’s Jetson platform is a plus.
- Experience working with sensor data, including cameras, lidars, radars, and IMUs is a plus.
- Strong communication skills, with the ability to write clear technical documentation and deliver presentations on complex topics.
- Proven history of leading cross-functional technical projects, including developing technical requirements and driving collaboration across teams.
- Experience working in small, agile teams with fast iteration cycles and interdisciplinary collaboration.
WHAT WE OFFER
- Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
- Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
- 401(k) retirement plan with employer match.
- Equity included–we believe builders should share in what they build.
- Free daily catered lunch, snacks, and drinks in‑office.
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
- Freedom to influence the product and own key initiatives.
For this role in Massachusetts, the expected base salary range is $180K–$250K USD per year; your placement in that range depends on how your experience maps to our internal leveling.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We're hiring a Senior Simulation Engineer to join our VLA team based in London.
In this role, you will build and maintain simulation environments for dexterous manipulation tasks across industrial, service, and home domains. This is primarily a simulation and reinforcement learning-focused role, so we are looking for experience creating realistic physics-based environments and training RL policies, while experience in robotics isn't strictly required. However, if you don't have such experience, be prepared that you'd need to familiarize yourself with a new domain quickly.
WHAT YOU’LL DO
- Design and implement gym environments for manipulation tasks spanning industrial, service, and home settings, defining appropriate observation spaces, action spaces, and reward functions.
- Analyze and address reward hacking - identify cases where learned policies exploit reward misspecification and iterate on reward design to produce robust behaviors.
- Analyze and reduce the sim-to-real gap by tuning physics parameters, improving asset fidelity, and validating simulation behavior against real-world data.
- Work with third-party vendors to procure, validate, and integrate high-quality 3D assets (objects, fixtures, environments) suitable for physics-based simulation.
- Ensure correct physics setup - contact dynamics, friction, mass properties, joint limits - so that trained policies transfer reliably to hardware.
- Identify and reduce simulation bottlenecks to maximize training throughput and environment step rates.
- Improve our simulation-based evaluation and reinforcement learning infrastructure to support rapid iteration and scaling.
WHAT WE'RE LOOKING FOR
- 3+ years building simulation environments or game-engine-based interactive systems (industry or research) with shipped products, published results, or equivalent artifacts to show for it.
- Deep hands-on experience with at least one physics simulator (Isaac Sim/IsaacLab, MuJoCo, PyBullet, Drake) or equivalent game engine experience (Unreal, Unity) with a focus on physically accurate interactions.
- Strong practical experience running large-scale parallel simulation on GPU clusters and good familiarity with modern GPU-accelerated simulation infrastructure.
- Strong Python; you can profile bottlenecks, debug physics issues, and write maintainable research code.
- Familiarity with modern software engineering practices.
- You document experiments clearly and communicate trade-offs crisply.
Nice to have:
- Robotics or manipulation-specific experience (grasping, contact-rich tasks, deformable objects).
- Experience designing reward functions and training RL policies in simulated environments; solid understanding of common failure modes (reward hacking, distribution shift, sim-to-real gap).
- Experience with NVIDIA Isaac Sim & IsaacLab specifically.
- Experience with domain randomization, system identification, or other sim-to-real transfer techniques.
- Publications at top-tier robotics or RL conferences or equivalent open-source contributions.
- Familiarity with robocasa, robosuite or similar open-source manipulation simulation frameworks.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: London, England
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
We’re looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Fin's next generation of AI products.
Fin is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month.
You’ll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI.
We’re particularly interested in engineers who have:
A track record of working on
model training
or
model inference at scale
, or on
low‑level GPU coding
(e.g. CUDA, Triton). Experience with one is great, multiple is even better.
What will I be doing?
As a Senior AI Infrastructure Engineer focused on model training and inference, you will:
Implement and scale
training pipelines
for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation.
Build and optimize
inference services
that deliver low‑latency, high‑reliability experiences for our customers, including autoscaling, routing, and fallbacks.
Work on
GPU‑level performance
: tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack.
Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production.
Play an active role in
hiring, mentoring, and developing
other engineers on the team.
Raise the bar for
technical standards, reliability, and operational excellence
across Fin's AI platform.
Profile we’re looking for:
These are indicative, not hard requirements
We’re looking to hire
Senior+ AI Infrastructure Engineers
. You’re likely a great fit if:
You have
5+ years of experience in software engineering
, with a strong track record of shipping high‑quality products or platforms.
You hold a
degree in Computer Science, Computer Engineering, or a related field
(or you have equivalent experience with very strong fundamentals).
You have hands‑on experience with
one or more
of the following:
Model training
(especially transformers and LLMs).
Model inference
at scale (again, especially transformers and LLMs).
Low‑level GPU work
, such as writing
CUDA
or
Triton
kernels.
Comfortable working in production environments at
meaningful scale
(traffic, data, or organizational).
You communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non‑engineers.
You take pride in strong
technical fundamentals
, love learning, and are willing to invest in your own development.
Have deep knowledge of at least one programming language (for example Python, Ruby, Java, Go, etc.). Specific language experience is less important than your ability to write clean, reliable code and learn new stacks quickly.
Bonus skills & attributes
None of these are required, but they’re nice to have:
Experience at
AI native companies
that
train and/or run inference for their own models
(e.g. modern AI labs or AI‑native product companies).
Experience running training or inference workloads on
Kubernetes
.
Experience with
AWS
or other major cloud providers.
Production experience with
Python
in ML or infrastructure contexts.
Demonstrated
passion for technology
through personal projects, open source, meetups, or publishing content about your work and learnings
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
УдалённоseniorSeattle, WA
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