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Location: Newark, NJ 07102 Workplace: hybrid Net2phone, a rapidly growing division of IDT, is looking for a Junior Salesforce Administrator to manage the Net2phone Salesforce instance. The perfect candidate will have deep knowledge of managing Salesforce.com instances, including creating process flows, automating tasks and emails, and creating custom reports and dashboards. We are looking for someone with a creative mind who holds themselves to the highest ethical standards, is driven, and has a strong desire for personal growth and professional success. You will serve as a team contributor with the primary system administrator for the Salesforce.com environment with 300+ users. You will be responsible for executing the day-to-day configuration, support, maintenance, and improvement of our CRM platform.   **Although this position is temporary, depending on performance, it can become a permanent position after 4 to 6 months. You Would Be Able To: Liaise with leadership from all of our departments as well as subject matter experts to analyze, create, and implement new processes or automate existing one Work with custom objects / Apex development Ensure basic administrative functions like user account maintenance, reports and dashboards, workflows, and other routine tasks Manage data feeds and other integrations We Would To See: Top-notch project management skills and a can-do attitude Flexibility to meet continuously changing priorities and challenges At least one year of experience as a Salesforce.com administrator or developer Mastery of Salesforce.com best practices and functionalities Background of driving projects to success ADM 201 and Developer certifications preferred Proficiency in Spanish preferred Experience with APEX development is a Plus Agile environment experience is preferred About us: IDT is a Communications and Money Transfer company founded in 1990 and headquartered in Newark, New Jersey. IDT is an industry leader in prepaid communication, money transfer, and payment services and one of the world's largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20+ countries, and have over $1.5 billion in revenues.  Our flagship brand, Boss Revolution, includes Money Transfer, International Calling, and Mobile Top-Up services and supports IDT's mission of enabling people to keep in touch and share resources with family and friends worldwide. Join us!

Location: New York City Workplace: OnSite ABOUT PEEC AI Peec AI is the analytics platform for AI search. People increasingly discover products and make buying decisions through ChatGPT, Claude, Gemini, and Google's AI Overviews instead of traditional search, and most brands have no idea where they show up in those answers. Peec gives marketing, SEO, and growth teams the data to see exactly that: how visible their brand is across AI platforms, how they compare to competitors, and where to win. We are defining this category, and the market is moving with us. Peec is a Series A company backed by 20VC and Singular, that went from $0 to $15M ARR in 18 months, with a 100+ person team across our Berlin HQ and our New York office. ABOUT THE ROLE We are hiring a Senior Account Executive in New York to own our largest and most complex deals across North America. You will sell to SEO, marketing, and growth leaders at enterprise and agency accounts, run the full cycle from first conversation to close, and set the standard for how the US team sells. This is a senior seat in a young office. You will work side by side with the founding NYC team, and you will have a real say in how we build the US go-to-market: the playbook, the positioning, and the bar we hold ourselves to. If you want to be the rep others learn the motion from, this is that role. WHAT YOU'LL DO - Source and close new business across North America, owning the full cycle from discovery and demo through negotiation and close - Build your own pipeline into strategic accounts, and partner with SDRs and Marketing on targeted outbound across your patch - Multi-thread across senior stakeholders and build the business case that gets a new category onto a budget - Keep your CRM clean and your forecast honest, with a strong handle on deal progress - Build lasting relationships with your customers and spot expansion opportunities as their AI search programs grow - Set the bar for the AEs around you: share what works, help shape the playbook, and raise the quality of the whole team's selling - Feed what you learn on calls back into product, marketing, and the sales playbook. At this stage, your input shapes how we sell. WHAT WE'RE LOOKING FOR - 5+ years of experience in a quota-carrying software sales role - A consistent track record of overachievement against a quota of $1M+, sustained across multiple years rather than one strong run - Experience closing complex, multi-stakeholder deals end to end, including negotiation and procurement - A builder of your own pipeline: you can point to closed deals that started with your own prospecting - Sharp communication and a natural ability to tell the story of a new category simply - Comfortable being the senior voice in a young team, and willing to set the standard rather than wait for one BONUS POINTS - Repeatedly achieving President's Club - Experience as an early sales hire in a high-growth, venture-backed startup - Experience selling SEO, analytics, or martech software - Interest in growing into a team leadership position as the US office scales - You already know what GEO and AEO stand for. WHAT WE OFFER - Transparent comp with a 50/50 base to variable split, plus equity - Comprehensive benefits package - Collaborative, high-energy in-office work environment - Opportunity to make a significant impact and define a new market category EEOC STATEMENT Peec AI is an Equal Opportunity Employer. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by federal, state, or local law. COMPENSATION The base salary range for this position is $142,000 to $162,500 annually with anticipated on-target earnings being $284,000-$325,000. Actual compensation within this range will be determined based on factors including the candidate's experience, skills, qualifications, and location, in accordance with applicable New York law.

Location: Abu Dhabi, United Arab Emirates; Mumbai, India Eram Talent is urgently seeking an experienced Instrumentation Design Engineer for the Oil & Gas sector for their client based in Abu Dhabi. This immediate requirement is for a professional who can contribute to the design and development of instrumentation systems tailored for oil and gas projects. The Instrumentation Design Engineer will be responsible for creating detailed designs, specifications, and documentation that meet client standards and industry regulations. The role involves close collaboration with project teams to ensure engineering solutions are practical, efficient, and compliant. Responsibilities Develop and deliver instrumentation design and drafting for oil & gas facilities, including: Instrument layout drawings Hook-up drawings Instrument index and data sheets Junction box layouts and wiring diagrams Cable routing and tray layouts related to instrumentation Installation details and typical drawings Create and manage 3D instrumentation models using SP3D / E3D Prepare, update, and maintain 2D drawings using AutoCAD and MicroStation Coordinate with Instrumentation Engineers, Electrical, Piping, Process, and Mechanical disciplines to ensure design integration Ensure compliance with: Project specifications Client standards International codes and industry best practices Incorporate review comments from clients, licensors, and internal stakeholders Support design activities during FEED, detailed engineering, and EPC phases Meet project schedules and ensure quality deliverables within defined timelines Requirements Diploma or Degree in Instrumentation / Electronics Engineering (or equivalent) Minimum 15+ years of relevant experience as an Instrumentation Designer Mandatory oil & gas industry experience , preferably within EPC/consultancy environments Strong hands-on expertise in: SP3D / E3D AutoCAD MicroStation Extensive experience on greenfield and brownfield projects Ability to work independently with minimal supervision Strong understanding of instrumentation design standards and practices (ISA, IEC, project-specific standards) Benefits The proposed total package would be 12,500 AED. Benefits: Annual vacation pay End of service Medical insurance - single status Contract status: single Annual airfare (single status)

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

Location: Raleigh, NC Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. 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: Charlotte, NC Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. 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: Hanoi OR Ho Chi Minh City WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: We're seeking a senior developer to join our team. You will design, build, and operate large-scale data and ETL systems that power the firm's research and investment workflows. This is a high-autonomy role - you'll own critical systems end-to-end, make architectural decisions, and deliver solutions with minimal guidance. We need someone who is self-directed, able to lead themselves, take ownership of outcomes, and drive complex problems to resolution independently. You should be comfortable communicating across teams, articulating technical trade-offs to stakeholders, and mentoring others through code review and collaboration. What You'll Do: Design, develop, and own backend services and data pipelines that process large volumes of data optimally and at scale Architect data storage and processing solutions, including schema design, query optimization, and data modeling Build and maintain APIs, messaging systems, and integration layers that connect data producers and consumers Drive technical decisions - evaluate trade-offs, choose the right tools, and define system boundaries Take ambiguous requirements and break them down into deliverable, well-engineered solutions Diagnose and resolve complex production issues - applying strong analytical and systems thinking Improve engineering practices: testing, CI/CD, observability, and documentation What You'll Bring: 8+ years of professional software development experience Strong programming proficiency : Mastery of at least one major programming language (Python, Java, Go, C++, or equivalent). Beyond syntax fluency, you should understand language internals and be able to apply that depth to write performant, reliable code System design : Proven ability to architect distributed, scalable, and fault-tolerant systems. Understanding of common patterns - event-driven architecture, service decomposition, data partitioning, caching strategies Data engineering : Experience building ETL/ELT pipelines, working with batch and streaming data, and handling large-scale data processing Database proficiency : Deep understanding of relational databases (PostgreSQL, MySQL) and familiarity with analytical/columnar stores; strong SQL skills including query optimization Software engineering depth : Strong grasp of data structures, algorithms, design patterns, and software architecture principles - applied in production, not just theory API design : Experience designing clean, well-documented REST/gRPC APIs Incident response mindset : Ability to diagnose production issues methodically, drive root-cause analysis, and feed into post-mortems and operational improvement AI-agent readiness : Openness to working alongside AI coding agents and LLM-powered tools as part of the development workflow - using AI as a force multiplier for code generation, review, debugging, and documentation Nice to Have: Python mastery : Advanced knowledge of Python internals, concurrency (asyncio, threading, multiprocessing), performance profiling, packaging, and strong experience with frameworks such as FastAPI/Flask, SQLAlchemy, pytest, and mypy/type annotations Observability and distributed tracing : Experience with monitoring and observability stacks - metrics, structured logging, distributed tracing (OpenTelemetry, Grafana, ELK) - for diagnosing system behavior and bottlenecks in production DevOps practices : Familiarity with containerization (Docker), CI/CD pipelines (GitLab CI, Jenkins), and infrastructure-as-code (Ansible, Terraform) Programming language versatility : Proficiency in additional languages that complement data platform work - C++ for performance-critical systems, Scala for distributed data processing with Apache Spark, or Rust for high-performance data engineering Team leadership and management : Experience leading a development team, running sprints, conducting code reviews, mentoring engineers, and managing stakeholders' expectations Message queues and streaming : Experience with Kafka, Redis, or similar event-driven architectures Data orchestration : Exposure to Airflow or similar workflow orchestration frameworks Frontend / full-stack awareness : Familiarity with modern web technologies (React, TypeScript) for building internal UIs and dashboards Financial services or quantitative finance background Open-source contributions or a public portfolio of technical work What We Offer: Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday We offer a strong culture of learning and development: training courses, library, speakers, share and learn events Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people Premium Health Insurance and Employee Assistance Program Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc. Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams Happy-hour with tea break, snacks and meals every day in the office! #LI-QM1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: New York City, NY; San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Scaled Enterprise team is a high-velocity sales motion built to bring frontier AI to a broad set of enterprise accounts. We're focused on reaching new customers efficiently, turning first conversations into real, expanding partnerships, and building the playbook for how Anthropic shows up at scale. As a Scaled Enterprise Account Executive, you'll own a book of enterprise accounts and the full revenue outcome for each. You'll generate your own pipeline, run a high-velocity sales cycle from first conversation through close, and develop a clear point of view on where Claude creates value in each account. You'll work closely with Product, Applied AI, and GTM to learn what's working at scale and feed it back into the playbook we're building from the ground up. This is a role for someone who thrives in hypergrowth, gets energy from breaking into new enterprise accounts, and wants to help build the scaled motion at Anthropic — not inherit one. Responsibilities Own all revenue outcomes for a book of enterprise accounts, driving new logo acquisition and early expansion across multiple use cases Generate the majority of your own pipeline through outbound, creative prospecting, and proactive multithreading into enterprise accounts that have not yet engaged with Anthropic Run a high-velocity sales cycle from first meeting through close, qualifying quickly, advancing rigorously, and knowing when to walk Develop a clear point of view on where Claude creates value in each account and bring that POV to technical and business stakeholders alike Build relationships with directors, VPs, and executive sponsors within your enterprise accounts, earning the right to expand by delivering early wins Negotiate and close commercial agreements involving technical evaluations, security review, and enterprise procurement Partner with Product, Applied AI, and Engineering to surface what's working, what's not, and what enterprise buyers need next Contribute to the playbook, proof points, and motion that this team is building from the ground up You may be a good fit if you have 3-5+ years selling into enterprise accounts as a full-cycle individual contributor carrying a bag, with a track record of consistently exceeding quota Experience selling at a hypergrowth company, where the playbook was still being written and you helped write it A hunter mindset and demonstrated success generating your own enterprise pipeline and breaking into new enterprise accounts Experience running enterprise sales cycles involving technical evaluations, security review, and procurement Comfort engaging both technical and business buyers at the director and VP level within enterprise organizations Background selling platform, API, cloud infrastructure, developer tools, or AI/ML into enterprise Strong commercial instincts and the ability to qualify quickly and advance rigorously Genuine interest in AI and strong alignment with Anthropic's mission of developing AI systems that are safe and beneficial What will make you stand out Experience at a hypergrowth enterprise infrastructure or developer tools company in its scaling years Track record as one of the early AEs on a new team, segment, or product where you helped build the motion rather than inherit it Background in developer tools, API, or AI/ML sales into technical buyers 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: $290,000 — $380,000 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: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. ABOUT THE ROLE We're looking for a GTM Engineer to join our team. This is a hands-on engineering role embedded in our GTM org. You'll own the systems that power how we identify, enrich, score, and engage prospects at scale: a custom built enrichment pipelines leveraging Cargo, the campaign sync tooling that feeds our events and outbound plays, and the code that ties it all together. You'll work at the intersection of GTM strategy and software engineering by writing production TypeScript/Python, shipping PRs, designing schemas, and building internal tools that the whole GTM team depends on daily. Think of it as being the engineer who makes the rest of the GTM team unreasonably effective. You don't need to have done this exact job before. You need to care about the craft. The best GTM Engineers at WorkOS are the ones who spot a broken workflow in Slack at 11pm, open a PR the next morning, and ship the fix before the standup. They're the ones who, when the sales team complains about bad data, don't just route it to RevOps, they dig into the Snowflake schema and find the upstream issue. If that sounds like how you work, we want to talk.   RESPONSIBILITIES - Enrichment infrastructure: You'll maintain and improve our core enrichment pipeline: the workflows that take a new signup or a conference attendee list and return a fully enriched, scored, and Salesforce-upserted record. Today that involves Cargo, Clay, Snowflake, and a growing set of data providers (Apollo, Linkup, Exa). You'll own the reliability, fill rates, and schema consistency of these systems. - Account scoring: You'll work on the fit scoring pipeline: the logic that evaluates every company flowing through our stack against our ICP and writes results to Snowflake and SFDC. This includes batching optimization, retry logic, logging and observability, and continuously improving the underlying signals. - Campaign and event tooling: You'll build and maintain the systems that sync event attendee lists (Luma, conference CSVs) through enrichment and into Salesforce campaigns. When a BDR asks "who came to our event last night?", your tooling answers that question automatically and routes the right records to the right owners. You’ll also propose and prioritize growth experiments, validate the approach, own implementation, measure results, and iterate. - Custom Tooling integration: You'll build and maintain enrichment tooling accessible via Wallaby, WorkOS's internal AI agent that the GTM team uses to look up prospects, run ad-hoc enrichments, and surface account intel on demand. You’ll design the underlying tools so they’re clean, effective, and composable, using AI and automation across research, enrichment, routing, and engagement workflows. - GTM data infra: You'll work closely with the data engineering team to keep our Snowflake schema in sync with the tools that consume it, track downstream pipeline impacts when schemas change, and ensure the data flowing into SFDC is accurate and up-to-date. Own and maintain lead and conversion tracking across the funnel, including lifecycle stages and campaign attribution. Keep the underlying data and tracking reliable so we can measure conversion and identify where prospects drop off. - Code: You'll ship real code. PRs go through review. You'll debug production incidents (Salesforce API rate limits, Cargo timeouts, enrichment failures). You'll instrument logging, add observability, and think carefully about batching, concurrency, and idempotency. QUALIFICATIONS - Engineering foundation: You're a capable software engineer. You write clean TypeScript or Python, understand async patterns, know how to design a database schema, and can debug a production incident from logs alone. You don't need to have worked at a software company, but you need to be able to write and ship code. - GTM domain knowledge: You've worked with the tools: Salesforce, HubSpot, Clay, Cargo, Apollo, or equivalents. You understand how leads flow through a CRM, what enrichment providers actually return, and why data quality degrades over time. Ideally you've had a BDR or AE background that gives you intuition for what the sales team actually needs. - Systems thinking: You think in pipelines, not one-off scripts. When you build something, you think about what happens at 10x volume, when an API goes down, or when the same company gets submitted five times simultaneously. - 3+ years of experience in GTM Engineering, Revenue Operations, or a closely adjacent technical role at a high-growth B2B SaaS company. Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Partner Sales Manager for Systems Integrators at Anthropic, you'll own a portfolio of global and regional SI partners and be responsible for the revenue they drive. This role sits at the intersection of partnerships and sales — you'll build trusted relationships with senior stakeholders at firms like Accenture, Deloitte, and PwC, and align on joint go-to-market plans. Your main stakeholders will be sales leaders at Anthropic - helping them to land and expand enterprise deals where partner involvement is the difference between winning and not. This is an early-stage motion, which means the playbook is still being written. You'll have real influence over how we engage SIs, what good looks like for partner-sourced pipeline, and how we equip integrators to build durable Claude practices inside their organizations. You'll report to the Head of Partner Sales and work closely with Sales, Solutions Architecture, Customer Success, and Product to make sure our partners have what they need to close — and to deliver transformative AI solutions for their clients. Responsibilities: Work directly with Sales Leaders, Account Executives and Solutions Architects, bringing the partner into the sales cycle at the right moments and ensuring clear roles, clean handoffs, and shared accountability for outcomes Build relationships across multiple levels of the partner organization — from practice leads and delivery teams to alliance executives — and serve as their primary point of contact at Anthropic Own the commercial relationship with a portfolio of assigned SI partners, driving partner-sourced and partner-influenced revenue against defined targets Develop and execute joint go-to-market plans with each partner, including target account mapping, pipeline generation activities, and co-sell motions with Anthropic's direct sales team Collaborate with enablement and program teams to get your partners trained, certified, and equipped with the materials they need to position Claude effectively Track pipeline health, forecast partner-attached revenue, and surface blockers early so cross-functional teams can help unblock them Gather signal from partner interactions — what's landing, what's missing, where clients are pushing back — and feed it into product and go-to-market planning Contribute to the development of partner sales processes, playbooks, and best practices as the function scales You may be a good fit if you have: 7+ years of experience in partner sales, channel sales, alliances,  business development or direct sales at a technology company where partners are heavily involved A demonstrated track record of driving revenue through partners — you can point to pipeline you built, deals you influenced, and relationships that outlasted any single transaction Strong commercial instincts, including comfort structuring co-sell agreements, navigating multi-party deal dynamics, and knowing when to push and when to let the partner lead Experience operating in early-stage or high-growth environments where processes are still forming and you're expected to help build them Excellent communication and relationship-building skills across all levels, from partner practitioners to alliance executives A collaborative working style — you're energized by cross-functional work and understand that partner sales only works when Sales, Product, and Delivery are aligned Comfort with ambiguity and a willingness to create structure where it doesn't yet exist Willingness to travel to support partner relationships and joint customer engagements A genuine interest in AI and a belief that advanced AI systems should be developed safely and responsibly Strong candidates may also have: Experience working at a major Systems Integrator or global consulting firm, giving you firsthand insight into how these organizations make decisions, staff engagements, and build practices around emerging technology A background in AI, cloud platforms, developer tools, or other categories where technical enablement and differentiation are central to the partner motion Familiarity with consumption-based or API-first business models and how they shape partner economics and incentive design Experience managing partner relationships across multiple geographies A history of being an early member of a partner sales function and helping it scale 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: $300,000 — $365,000 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: Nairobi, Kenya; Kampala, Uganda; Lagos, Nigeria; Accra, Ghana; Addis Ababa, Ethiopia; Johannesburg, South Africa Eram Talent is seeking an experienced Black Soldier Fly (BSF) Farm Technician to join our team. The BSF Farm Worker / Technician will support and execute all activities across the BSF production cycle, including breeding, incubation, larvae rearing, harvesting, and initial processing of products. The ideal candidate will follow supervisors' instructions and Standard Operating Procedures (SOPs) meticulously, maintain cleanliness, and contribute to optimizing production processes through consistent record-keeping and observation Responsibilities: Manage daily BSF farm operations including egg collection, larvae rearing, feeding, and harvesting. Assist in breeding and egg management of Black Soldier Fly colonies. Prepare and manage organic feed substrates, ensuring larvae receive proper nutrition. Monitor and maintain optimal environmental conditions (temperature, humidity, ventilation, and substrate quality) for all BSF lifecycle stages. Track larvae growth, health, and density, making adjustments as needed. Harvest larvae at the correct stage and perform initial processing (washing, drying, separation, and weighing). Maintain cleanliness and hygiene of containers, equipment, and the facility. Record production data, track yields, and report observations to supervisors. Follow all daily instructions and Standard Operating Procedures (SOPs) accurately. Requirements Minimum 3 years of practical experience in Black Soldier Fly farming or insect rearing. Associate diploma or equivalent; further education in agriculture, biology, environmental science, or a related field is preferred. Prior experience in farming, animal husbandry, insect rearing, or organic waste management is advantageous. Ability to follow Standard Operating Procedures (SOPs) and handle BSF lifecycle tasks accurately. Physically fit and able to perform tasks such as lifting up to 50 kg, standing, bending, and handling organic materials. Comfortable and willing to work closely with live insects and organic substrates. Strong attention to detail, observational skills, and accuracy in record-keeping. Flexible to work early mornings, evenings, weekends, or holidays, and able to follow all biosafety, health, and PPE protocols..

Location: Hazira, India; Mumbai, India; Vadodara, India; New Delhi, India Eram Talent is looking for a Senior Project Engineer (PMC Offshore) to oversee and manage project execution in the offshore environment, ensuring compliance with client specifications, industry standards, and safety requirements. The Senior Project Engineer will support the Project Manager in the delivery of offshore project, with a focus on topsides and jackets structures, ensuring execution is aligned with project objectives in terms of schedule, cost, quality, and HSE. The role involves coordination with engineering, procurement, construction, and offshore installation teams. Key Responsibilities: Support the Project Manger in overall project coordination and execution of offshore facilities (jackets, topsides…) Act as focal point between engineering, procurement, construction, and installation teams. Monitor and track engineering deliverables, ensuring compliance with project specifications and timelines. Coordinate with contractor and vendors on technical and execution matters. Ensure proper interface management between different work packages (Onshore yard, installation, fabrication). Follow up on procurement activities, expediting critical equipment and materials. Oversee fabrication activities at yard, ensuring alignment with design and quality requirements. Support offshore execution and installation when required Track project progress and prepare weekly/monthly reports. Identify and mitigate project risks and issues, escalating where necessary Ensure compliance with HSE standards and company procedures at all stages of the project. Participate in technical reviews, HAZID’s HAZOPs, constructability reviews. Support change management processes and evaluate impact on cost and schedule. Requirements Bachelor’s degree in engineering (Civil, Structural). Minimum 20 years of experience in Oil & Gas projects. Proven experience in PMC roles on offshore projects.  Strong experience in Jackets, topsides, and offshore structures. Experience in fabrication yards and offshore installation is highly preferred. Good understanding of project lifecycle (FEED, EPC, Commissioning) Good knowledge of planning, scheduling, and project controls. Previous experience with Aramco projects. Experience working with major PMC and EPC contractors.

Location: Sydney 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 an Agent Strategist https://sierra.ai/blog/agent-strategist-your-phd-in-applied-ai, you own how Sierra's AI agents come to life for our customers — from first pilot to a production agent handling thousands of conversations a day. You sit at the intersection of product, building agents and customer-facing work, and stay just as close to the technology as you are to the people you build for. You transform a customer's thorniest, highest-stakes problems into agents that measurably move their business. - Own the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle. Take agents from initial scope through conversation design, tooling, and evaluation, to launch and continuous iteration in production — translating business goals into an agent that outperforms, and tuning relentlessly until it's the best version of itself in the real world. You'll have real ownership and autonomy over the outcome. - Be the trusted strategic advisor to enterprise leaders. Sit shoulder-to-shoulder with our customers' executives, understand what success actually means to their business, and shape the AI strategy that gets them there. - Partner with the customer's working teams day to day. Run working sessions, troubleshoot the agent as issues come up, and make the calls that keep the build on track for launch. - Directly impact product. Surface unmet needs from your customer work, and feed them back to research and platform to shape where Sierra goes next. EXAMPLE PROJECTS These are the kinds of projects that strategists on our team have worked on recently: - Scope and launch a subscription-retention agent for a large telecommunications or media company that consistently outperforms human agents at saving at-risk customers. - Stand up an agent for a commerce customer that troubleshoots a broken device end-to-end and personalizes product recommendations in the same conversation. - Redesign the conversation flows for a financial services agent so it can handle complex, regulated interactions — and convert a pilot into a multi-team production deployment. See our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services for examples. - Partner with product on a net-new capability — a new agent architecture or self-service tooling — using a live customer as the design partner. - Define the evaluation and quality bar for a new agent, then use those metrics to drive a measurable lift in outcome https://sierra.ai/blog/outcome-based-pricing-for-ai-agents week over week. WHAT YOU'LL BRING - Customer obsession. Genuine energy being in front of customers — understanding their business and needs, thriving in complex organizations, and building trusted relationships. - Communication. Clear, direct, and persuasive across technical and non-technical audiences. - Strategic problem-solving in ambiguity. Strong analytical and critical-thinking skills to break down complex problems, spot risks early, and adapt as things change fast. - Technical aptitude. Comfortable engaging directly with technical concepts - reading API documentation, understanding data models and system architecture, and following engineering tradeoffs in a design discussion. - Ownership and delivery. A track record of running multiple complex, high-visibility projects at once and driving them to outcomes. EVEN BETTER... - Experience building or deploying AI/LLM agents in production — hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) — working closely with technical counterparts. - You've been a founder, founding team member, or operator — you know how to balance craft, ownership, and speed. - A degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience — and/or an MBA or comparable experience at the intersection of technology and business. 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: Hong Kong, Hong Kong SAR Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. Key Responsibilities Design and optimize high throughput order execution systems with sub-millisecond latency targets Build real time market data pipelines aggregating order books and price feeds from multiple exchanges Implement position tracking with exchange reconciliation, risk limits, and multi account support Develop exchange connectivity using FIX 5.0+, WebSocket, and HTTP/2 protocols Profile and eliminate latency hotspots using garbage free coding and lock free concurrency Implement pre-trade risk controls, circuit breakers, and rate limiters Qualifications Solid STEM (Science/Technology/Engineering/Mathematics) education background. 5-8 years software development experience, preferably in trading/oms/latency sensitive systems Strong Java 17+ proficiency with understanding of JVM internals and GC behavior Hands-on experience with FIX 5.0+, WebSocket, and HTTP/2 protocols Solid multi-threaded programming and concurrent systems knowledge Understanding of order lifecycle and market microstructure basics Strong problem solving skills and attention to detail Excellent communication and collaboration skills Ability to work independently and as part of a team in a fast paced environment Preferred Skills Cryptocurrency/Digital Assets: Crypto exchange APIs, DeFi, blockchain trading Execution Algorithms: TWAP, VWAP, iceberg, sniper, or other smart order routing strategies IPC Technologies: Aeron, Chronicle Queue, shared memory messaging Proficiency or strong interest in Rust for performance critical systems development Low latency libraries: Agrona Collections, Protocol Buffers, SBE for high performance serialization Spring Framework, Netty, Vert.x Timeseries databases (e.g InfluxDB) Redis, etcd for caching and coordination Technical Environment Languages : Java 17+, Rust, Python Protocols : FIX 5.0+, WebSocket, HTTP/2 Stack : Spring, Netty, Aeron, Chronicle Queue, Redis, MySQL, InfluxDB Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowance Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Hong Kong, Hong Kong SAR Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity You will join our Data & Analytics team, which owns two core data domains end to end: • Public market data — trades, quotes, funding, and full order-book data continuously captured from global crypto exchanges at petabyte scale. • Proprietary trading data — orders, fills, positions, balances, and settlement activity streamed from internal desks and systems. We are one team rather than separate engineering and analytics functions. The same people build pipelines, model data, validate its correctness, and answer the business questions it supports. You will see data problems through end to end: from the exchange connection or internal source through to the analysis produced from it. This is an exciting time to join. We are rebuilding the platform on ClickHouse, Apache Iceberg, and Kafka while continuing to support live trading. The work combines substantial platform design with hands-on ownership of business-critical data. What You’ll Be Doing • Build and operate pipelines that bring market and trading data into our platform, including ingestion, parsing, normalization, validation, and storage. • Build and extend Python- and SQL-based datasets and data models used by trading desks, quants, research, and analytics teams. • Own data correctness through source reconciliation, data-quality and completeness checks, gap and duplicate detection, backfills, and replays. • Investigate discrepancies end to end. Trace unexpected numbers through the pipeline to the source and fix root causes rather than symptoms. • Onboard new exchanges, venues, products, and internal data sources, addressing real-world external-feed behaviour including authentication, rate limits, disconnects, missing history, and schema changes. • Support data users through query support, data access, APIs, and client libraries. • Operate what you build, including monitoring, alerting, and incident response for owned pipelines and datasets. • Contribute to the migration toward ClickHouse, Iceberg, Kafka, and Kubernetes by running new and legacy paths in parallel, reconciling results, and cutting over safely. • Use AI coding assistants and LLM tooling to improve development, debugging, and data investigation, while applying sound judgement and independently validating outputs. • Depending on team needs and your strengths, develop deeper expertise in either real-time platform and pipeline engineering or proprietary trading-data datasets and analysis. Both are core to the team. What We Look For In You • Bachelor’s degree or above in Computer Science, Engineering, or a related quantitative field. • 3–5 years of hands-on experience in data engineering, software engineering, or analytics engineering. • Strong production-quality programming skills in Java, Python, or both. • Sound data-modelling judgement. You can design schemas that scale with evolving data and use cases, including keys, granularity, partitioning, and schema evolution. • Ability to reason about query behaviour and performance over large datasets. • Demonstrated production ownership. You have designed, delivered, and operated a pipeline, service, or dataset that other teams depend on, including its reliability, monitoring, and failure modes. • Rigour in data correctness. You validate outputs before they reach users, cross-check against independent sources where possible, and treat silent data errors as serious defects. • Structured problem-solving under uncertainty. You can decompose ambiguous data discrepancies, form and test hypotheses, and reach defensible conclusions while clearly stating assumptions and outstanding verification needs. • Strong initiative and persistence. You identify gaps, act without waiting for direction, work through difficult problems, and get up to speed quickly on unfamiliar systems and domains. • Strong communication skills in both Chinese and English. Nice to Have • Experience in crypto, market data, trading systems, or trading operations. • Strong Java systems-engineering capability, including JVM and concurrency fundamentals, profiling, performance tuning, and reliable high-throughput services. • Strong Python data-engineering capability, including pandas, Polars, PyArrow, or Spark; experience with vectorisation, memory behaviour, and processing datasets larger than memory. • Experience delivering tested, packaged Python tooling that other teams depend on. • Depth in trading-data analysis, such as reconstructing positions from fills, balances from transfers, or PnL across settlement or expiry boundaries. • Experience reconciling derived trading data against authoritative sources and resolving discrepancies between systems. • Experience with real-time streaming pipelines, ideally Kafka, including ordering, gap detection, checkpoints, restart recovery, and replay. • Hands-on experience with time-series or analytical databases, including partitioning, retention, and query-performance tuning at scale. • Exposure to Apache Iceberg, Parquet, Spark, gRPC, Kubernetes, or cloud data infrastructure. • Experience building connectors to external REST or WebSocket APIs. Working Model • Hong Kong, onsite (in-office). Perks & Benefits • Competitive total compensation package. • Learning and development programs and education subsidy for employees’ growth and development. • Various team-building programs and company events. • Wellness and meal allowances. • Comprehensive healthcare schemes for employees and dependents. • More that we would love to tell you about during the process. Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: New York 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. WHO WE ARE Enterprise at Baseten means the companies with the most to gain from AI and the most complexity in getting there: large digital natives running products at massive scale, and category leaders in software, financial services, healthcare, and beyond. They have the data, the distribution, and the budget. Most are still deciding what to build, what to run themselves, and what it should cost. That makes this a consultative sale. You'll spend as much time helping a VP of Engineering pressure-test their AI strategy as you will selling against an alternative, mapping use cases, framing build-vs-buy, and giving clear recommendations grounded in what you've seen work at the frontier. Then you'll do the enterprise work: multithreading across a buying committee, navigating security and procurement, and turning a first workload into an eight-figure relationship. You'll work alongside our founders, forward-deployed engineers, and GTM leadership, in a seat where the playbook is still being written. RESPONSIBILITIES - Own a revenue target end to end, from prospecting and outbounding through closing Tier 1 accounts in your verticals - Act as a strategic advisor on AI adoption: identify use cases, shape architecture decisions, and lead with clear, opinionated recommendations - Multithread across large organizations, from the engineers running evals to the executives funding the program to security, legal, and procurement - Win lighthouse customers that become references for their entire industry - Partner with forward-deployed engineering on technical evaluations, POCs, and architecture reviews - Feed signal back to product and engineering. What enterprises need next is a roadmap input we don't get anywhere else REQUIREMENTS - 8+ years of enterprise B2B sales experience in technology, ideally infrastructure, API/platform, or developer tooling - A track record of closing seven- and eight-figure deals by navigating multi-stakeholder buying committees and long, complex cycles - Demonstrated ability to run a consultative sale. You've helped customers define a strategy, not just evaluate a product - Strong technical acumen: you can hold your own on model serving, GPU infrastructure, latency, and API architecture - Experience selling into large digital natives or regulated industries (financial services, healthcare/life sciences, insurance, government) - Excellent communication and comfort with high autonomy in a fast-moving environment   NICE TO HAVE - Direct experience selling AI/ML infrastructure, cloud compute, or model deployment platforms 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: Lagos, Nigeria Who we are We’re a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experiences. We are the place for you, if You’re excited about technology and the future, and you’re looking for a place to learn and grow. You care a lot about detail and pride yourself in impeccable execution. You can collect and analyze lots of data and feed in just the right amount of intuition to make sound decisions. You are ready to work extremely hard, at a fast pace, to achieve audacious goals. You love to speak up, ask questions, and are comfortable challenging anyone or any idea. The position The Credit Monitoring Analyst is responsible for monitoring loan portfolios after disbursement to ensure timely repayments, identify early warning signs of credit risk, and ensure compliance with approved loan terms and credit policies. Job Description Collateral Strategy & Control: Manage the bank’s collateral strategy, implement effective controls, and conduct regular mark-to-market analysis to ensure adequate facility coverage. Monitoring & Reporting : - Implement and enforce the Collateral Inspection Plan. - Prepare and share key daily reports, including: Past Due Obligations (PDOs), Imminent Maturities and Newly Booked Facilities - Engage with Business Heads and Relationship Teams on key report insights. Post-Disbursement Review : Ensure compliance with drawdown conditions and escalate exceptions for prompt resolution. Early Warning & Risk Mitigation :  Identify early warning signs of problem loans, escalate adverse credit developments to prevent - Appoint agents for stock monitoring and perform inventory spot checks. - Review warehouse reports and evaluate stock coverage breaches. - Develop performance metrics and manage vendor relationships, including onboarding, conflict resolution, and sanctions where necessary. Credit Risk Oversight: -        Participate in Criticized Assets Review Committee meetings to address high-risk assets. -        Ensure all facilities operate within approved terms and follow up proactively on maturing obligations to avoid defaults. Customer Engagement: Engage clients regularly through calls, emails, and in-person meetings to understand their needs, provide updates, and offer tailored financial solutions. Feedback Collection & Resolution : Gather feedback through surveys or direct interactions, and promptly resolve issues or escalate concerns to the appropriate tea Requirements University degree or equivalent standard with a high numeric content: statistics, econometrics, business administration/ economics, mathematics, finance, etc. 2+ years practical experience Experience with hands-on customer relationship management Practical knowledge in credit risk working for a banking or non-banking financial institution Experience with Customer experience services

Location: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role As a Solutions Architect on the Field Engineering team, you'll be the trusted technical advisor to enterprise customers across pre-sales and post-sales, for teams running AI and web workloads on Vercel. You'll qualify technical fit, design future-state architectures, and run evaluations and proofs of concept before the deal, then guide adoption as lead architect after it, bringing in Professional Services, Developer Success, Product, and Engineering when customers need them. This is a hybrid role based in Austin, New York City, or San Francisco, with three days a week in the office. What you'll do Lead technical discovery with Sales, qualify use cases, and design target architectures for AI agents and web applications on Vercel Own proofs of concept (POCs) and pilots end to end: set success criteria, guide implementation, and document outcomes for executive buyers Build and deliver tailored demos, technical presentations, and workshops for developer and executive audiences Act as lead architect post-sale for strategic accounts, guiding onboarding, reference implementations, and migrations, and tuning performance with Core Web Vitals and observability data Run customer security, compliance, and architecture reviews, and feed recurring field gaps back to Product and Engineering What you need 5+ years of experience in a customer-facing technical role such as solutions architect, sales engineer, or platform architect, working with web or cloud platforms Hands-on JavaScript and TypeScript experience, including reviewing production application code built with Next.js, React, or another modern framework Designed enterprise architectures covering web performance, caching, networking, and security on AWS, Microsoft Azure, or Google Cloud Platform (GCP) Ran technical evaluations or POCs on enterprise deals with both executive and developer stakeholders Bonus if you Built and shipped an AI-powered application or agent, for example with the AI SDK Led a large-scale migration to a cloud-native or composable architecture (headless CMS, commerce, identity) Supported customer security reviews against SOC 2, PCI DSS, or HIPAA Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA On Target Earnings pay range for this role is $190,000 - $340,000. Actual OTE will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. #LI-DNI Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.