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Location: San Francisco, CA; Bellevue, Wa Workplace: Hybrid About Niantic Spatial We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Role You’ll join a small infrastructure team with broad, shared ownership — the engineers who keep Niantic Spatial running. The team covers the cloud platform, the developer tooling every engineer depends on, and the edge services our customers’ requests pass through. You’ll work across SRE, infrastructure, and developer platform alongside teammates who know the stack well, and you’ll grow into owning parts of it yourself. Because every engineer here builds on what this team provides, your work will also shape how the whole engineering org builds, ships, and operates. What You'll Do - Cloud and SRE: Build and maintain cloud infrastructure as code, and help improve reliability through monitoring, alerting, and service-level objectives. - Developer Platform: Help run our source control, CI/CD pipelines, and build infrastructure so engineers can ship quickly and safely. - Production Operations: Share on-call, take part in incident response and follow-up, and automate away repetitive operational work. - Edge and Delivery: Help run the edge API gateway, CDN, and authentication and authorization systems with the rest of the team. - Compute and GPU Management: Help provision and monitor compute and GPU capacity across teams. - AI-Assisted Operations: Use AI tools to help build, automate, and maintain our infrastructure, and help shape how the team uses them. What You'll Bring - Years of Experience: 3+ years in infrastructure, SRE, DevOps, or platform engineering. - Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. - Infrastructure as Code: Experience managing infrastructure as code with tools such as Terraform, Pulumi, or similar. - Cloud: Hands-on experience with GCP, AWS, or another major cloud provider in production. - CI/CD: Experience building and maintaining CI/CD pipelines in GitLab, GitHub Actions, or similar. - Containers: Production experience with containers and container orchestration, such as Kubernetes. - Core Technical Skills: Proficiency in at least one programming language such as Python, Go, TypeScript, or C++, plus shell scripting and Linux systems. - AI in Your Workflow: Comfort using AI-assisted tools in your engineering work, or a strong interest in building that habit. We’ll help you ramp up on how we use AI here. Nice to Have - Familiarity with API gateways, load balancers, or CDNs. - Familiarity with modern authentication and authorization, such as OAuth 2.0, OIDC, or cloud IAM. - Experience with GPU workloads or ML infrastructure. - Experience with message queuing systems. Location & Work Model This role is based in our San Francisco or Sunnyvale, CA office, or in Bellevue, WA. We work in a high-collaboration environment and ask team members to be on-site a minimum of 3 days per week. Compensation & Benefits The base salary range for this position is $171,000 - $230,000 for Bay Area candidates and $162,500 - $218,500 for Seattle/Bellevue candidates. Actual salary is based on assessed skills, experience, and location. This role is also eligible for equity, bonus, and benefits. Your recruiter can answer questions about total compensation during the hiring process. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed — you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: Ukraine; Spain; Slovakia; Serbia; Yerevan; Slovenia; Poland Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX,  Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: Limassol, Cyprus Workplace: fully Sumsub is the first AI-powered trust infrastructure for compliance operations at scale. It connects identity and business verification, fraud prevention, transaction monitoring, and risk workflows, helping teams reduce manual work and enter new markets. Trusted by over 4,000 clients across financial services, crypto, mobility, trading, marketplaces, education, and iGaming, including Bybit, Bitpanda, Wirex, Avis, Vodafone, Duolingo, and Kaizen Gaming. Sumsub is certified as a Great Place To Work® in the US, recognized as a TIME & Statista Excellent Workplace, honored with the TrustRadius Tech Cares Award for Diversity & Inclusion, and rated 4.7 out of 5 on Glassdoor. Our 1,000+ people around the world back it up, too: 92% are proud to be Sumsubers, and 90% say their work is interesting and challenging. Now we are looking for a Senior Backend Developer to join our rapidly growing team. This is an amazing opportunity to join Sumsub and make an immediate and real impact on the future of our product. Our Stack: Main language: Java 17 Java Framework: Dropwizard / Restler DB: MongoDB / ClickHouse / Redis Others: Apache Kafka / Kafka Streams / Elasticsearch / OpenSearch (k-NN) / Airflow What You Will Be Doing: Development of data processing algorithms related to remote identification / authentication of individuals (both product and technical). Improvement and development from scratch of internal tools for compliance officers. Test driven development and A/B testing. Optimization and automation of CI/CD pipelines to increase reliability and deployment speed. Monitoring, troubleshooting, and performance tuning of cloud infrastructure and distributed systems. About You: Good command of the English language Familiarity with our development stack Understanding of product and a passion for building software that provides a great experience Experience developing clean, high-quality code and automated tests to verify its operation Team player, strong communication skills, and empathy Demonstrated strong analytical and problem-solving skills What We Offer: Remote-first, trust-based culture. Work from the place that works best for you. No mandatory office days, no attendance trackers. In some locations, we provide offices or coworking spaces, but the choice is yours. True flexibility. We do not fix you to a 9-to-5 schedule. You can adjust your working hours when needed, as long as your day stays productive and in sync with the team. Extra time off. Your birthday is a holiday here. Add to that 10 personal days each year, seven sick days without paperwork, and extra time to enjoy Christmas and New Year. Time to rest is part of the deal. Work that matters. Our mission is to build a digital world that is secure, accessible and inclusive for everyone. From fighting fraud to making online services easier and safer to use, your work will have a real impact on how people experience trust online. Compensation. We offer fair and transparent pay, benchmarked to the market. Truly global. We work across continents and time zones, with teammates and customers from all over the world. You will run campaigns that cross borders, cultures, and languages, and see your ideas land worldwide. Growth built in. Clear goals, open feedback and personal development plans. We support your progress with learning opportunities and by covering role-specific events, from design conferences to marketing forums. Celebrating your big moments. We are proud to support you through life’s biggest journeys with dedicated financial bonuses for both marriage and welcoming a new baby to your family. Team offsites. Sometimes just Slack is not enough. That is why we meet in person a few times a year. Trips are fully covered, so you can meet, collaborate, and recharge together. Getting you set up. We make sure you have access to the tools and hardware you need to do your work well. Friendly by design. Our logo is a dog for a reason. We keep things human, open and kind. We welcome individuality, quirks and different perspectives, because that is what makes our work smarter and more fun. The hiring stages: TA screening -> Hiring Manager Interview -> Assignment -> Final Interview. Sounds like a great opportunity for your career development? Then go ahead and apply! We are a global community of innovators, creators, and thinkers, and we believe that diversity fuels our innovation. Sumsub is proud to be an equal opportunity employer, committed to building a diverse and inclusive workforce. We welcome applications from people of all backgrounds, cultures, genders, experiences, abilities and perspectives. Join us in shaping the future inclusively. We believe in fair and transparent compensation. Salaries vary depending on work location and applicable local market conditions. This role is open to candidates in multiple countries, and compensation differs based on the candidate’s confirmed work location. For this reason, a single universal salary range is not included in this job posting. The applicable work location will be confirmed early in the recruitment process, and the relevant compensation information for that location will be shared in writing, in line with local requirements.

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Affirm's engineering team is building a large-scale, highly-available, and global infrastructure that is shared across multiple financial products. Ensuring that our infrastructure is accessible to all engineers is critical to the success of the business. We pride ourselves on our culture across engineering of engaging in thorough technical design review, operational excellence, and capable incident response and analysis. The Compute Platform team owns the EKS foundation that Affirm's products run on, from cluster provisioning and lifecycle through the safety standards that keep thousands of workloads reliable at scale. Affirm operates 90+ EKS clusters across environments and regions, and this team is responsible for making that fleet standardized, automated, observable, and self-healing, while establishing and enforcing the workload configuration standards that protect availability. Our mission is to provide a secure, reliable, and scalable Kubernetes platform that lets infrastructure and application teams deploy and operate with confidence and minimal operational friction. What you’ll do As a member of the Compute Platform organization, you will collaborate with other teams - including Product, Infrastructure, Traffic, Cost & Capacity Engineering to: Architect and evolve Affirm's EKS platform, driving strategy across cluster lifecycle, node management, and shared cluster components Lead the technical direction for cluster provisioning, upgrades, and teardown through standardized IaC (Terraform, Spacelift) and self-service workflows Own the reliability of core shared components across the fleet (Karpenter, CoreDNS, VPC CNI, Kube Proxy, Metrics Server, etc) and the CI/CD pipeline that ships them consistently Define and enforce EKS workload safety standards covering resource configuration, workload isolation and blast radius, disruption tolerance (PDBs), Karpenter consolidation strategies, etc Build the enforcement and automation path that moves each standard from research and white-glove onboarding through broad adoption to policy-enforced defaults for new workloads Establish the observability, baseline audits, and reporting needed to identify hot spots and measure risk mitigation over time Partner with cluster-user teams (checkout, batch, ML, analytics, DevProd, etc) to understand workload needs and shape the platform accordingly Drive cost and capacity strategy across node scaling, bin packing, and EC2 instance selection Mentor engineers across the Compute Platform teams and set the bar for operational excellence Participate in the on-call rotation, triage and catalogue runtime K8s issues, and collaborate with SRE on production incidents What we look for Deep EKS and Kubernetes internals expertise, including cluster upgrades, node lifecycle, scheduling, and autoscaling (Karpenter, Cluster Autoscaler) Demonstrated experience automating Kubernetes operations at fleet scale, from cluster provisioning, upgrades, and node lifecycle to self-healing remediation and policy-driven enforcement, replacing manual toil with auditable, self-service workflows Strong grasp of workload reliability patterns: resource tuning, probes, PDBs, topology and isolation constraints Experience designing and enforcing platform standards through policy (admission control, OPA/Gatekeeper or equivalent) and automated frameworks Infrastructure as Code fluency with Terraform and a GitOps or pipeline-driven delivery model (ArgoCD, kube-applier, or similar) Observability instincts: defining SLOs, building metrics, logs, and alerting coverage, and running data-driven baseline audits Cross-functional collaboration skills with platform, product, SRE, and capacity teams Demonstrated mentorship and technical leadership across teams Drive to track emerging Kubernetes community best practices and adapt them to Affirm's needs Qualifications 10+ years in software or infrastructure engineering with proven delivery of complex platform solutions 6+ years hands-on operating production Kubernetes at scale, ideally EKS on AWS Strong cloud-native architecture experience on AWS (EC2, VPC, IAM, EKS) Experience with Infrastructure-as-Code (Terraform, Spacelift a plus) and GitOps-style deployment pipelines Expert-level proficiency in Go or Python and a proven track record building production-grade Kubernetes controllers, operators, and platform tooling that other engineering teams depend on Track record designing and enforcing standards across many teams without becoming a bottleneck Exceptional problem-solving and systems-thinking skills Demonstrated leadership and cross-functional influence Excellent communication skills Base Pay Grade - R Equity Grade - 9 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) CAN base pay range per year: $ 209,000 - 269,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Affirm's engineering team is building a large-scale, highly-available, and global infrastructure that is shared across multiple financial products. Ensuring that our infrastructure is accessible to all engineers is critical to the success of the business. We pride ourselves on our culture across engineering of engaging in thorough technical design review, operational excellence, and capable incident response and analysis. The Compute Platform team owns the EKS foundation that Affirm's products run on, from cluster provisioning and lifecycle through the safety standards that keep thousands of workloads reliable at scale. Affirm operates 90+ EKS clusters across environments and regions, and this team is responsible for making that fleet standardized, automated, observable, and self-healing, while establishing and enforcing the workload configuration standards that protect availability. Our mission is to provide a secure, reliable, and scalable Kubernetes platform that lets infrastructure and application teams deploy and operate with confidence and minimal operational friction. What you’ll do As a member of the Compute Platform organization, you will collaborate with other teams - including Product, Infrastructure, Traffic, Cost & Capacity Engineering to: Architect and evolve Affirm's EKS platform, driving strategy across cluster lifecycle, node management, and shared cluster components Lead the technical direction for cluster provisioning, upgrades, and teardown through standardized IaC (Terraform, Spacelift) and self-service workflows Own the reliability of core shared components across the fleet (Karpenter, CoreDNS, VPC CNI, Kube Proxy, Metrics Server, etc) and the CI/CD pipeline that ships them consistently Define and enforce EKS workload safety standards covering resource configuration, workload isolation and blast radius, disruption tolerance (PDBs), Karpenter consolidation strategies, etc Build the enforcement and automation path that moves each standard from research and white-glove onboarding through broad adoption to policy-enforced defaults for new workloads Establish the observability, baseline audits, and reporting needed to identify hot spots and measure risk mitigation over time Partner with cluster-user teams (checkout, batch, ML, analytics, DevProd, etc) to understand workload needs and shape the platform accordingly Drive cost and capacity strategy across node scaling, bin packing, and EC2 instance selection Mentor engineers across the Compute Platform teams and set the bar for operational excellence Participate in the on-call rotation, triage and catalogue runtime K8s issues, and collaborate with SRE on production incidents What we look for Deep EKS and Kubernetes internals expertise, including cluster upgrades, node lifecycle, scheduling, and autoscaling (Karpenter, Cluster Autoscaler) Demonstrated experience automating Kubernetes operations at fleet scale, from cluster provisioning, upgrades, and node lifecycle to self-healing remediation and policy-driven enforcement, replacing manual toil with auditable, self-service workflows Strong grasp of workload reliability patterns: resource tuning, probes, PDBs, topology and isolation constraints Experience designing and enforcing platform standards through policy (admission control, OPA/Gatekeeper or equivalent) and automated frameworks Infrastructure as Code fluency with Terraform and a GitOps or pipeline-driven delivery model (ArgoCD, kube-applier, or similar) Observability instincts: defining SLOs, building metrics, logs, and alerting coverage, and running data-driven baseline audits Cross-functional collaboration skills with platform, product, SRE, and capacity teams Demonstrated mentorship and technical leadership across teams Drive to track emerging Kubernetes community best practices and adapt them to Affirm's needs Qualifications 10+ years in software or infrastructure engineering with proven delivery of complex platform solutions 6+ years hands-on operating production Kubernetes at scale, ideally EKS on AWS Strong cloud-native architecture experience on AWS (EC2, VPC, IAM, EKS) Experience with Infrastructure-as-Code (Terraform, Spacelift a plus) and GitOps-style deployment pipelines Expert-level proficiency in Go or Python and a proven track record building production-grade Kubernetes controllers, operators, and platform tooling that other engineering teams depend on Track record designing and enforcing standards across many teams without becoming a bottleneck Exceptional problem-solving and systems-thinking skills Demonstrated leadership and cross-functional influence Excellent communication skills Base Pay Grade - R Equity Grade - 15 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $265,000 - $325,000 USA base pay range (all other U.S. states) per year: $236,000 - $296,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Remote - USA Workplace: Remote Growth GTM Engineering sits at the intersection of marketing strategy, revenue generation, data, and automation, turning market intelligence and buyer insight into repeatable growth opportunities for Chainalysis. Chainalysis is seeking a Growth GTM Engineer to build and scale the workflows, systems, and outbound strategies that help our Sales teams engage the right customers at the right time. This is not a traditional demand generation or marketing operations role. Growth GTM Engineers are hands on builders who own the full lifecycle of a growth play, from identifying an opportunity and developing a hypothesis through workflow creation, experimentation, and measurable commercial impact. The role combines growth marketing, account based strategy, data enrichment, AI, and sales enablement. You will work directly with Sales to identify promising markets, uncover buying signals, map buying committees, and turn these insights into targeted outbound plays. Using Clay, AI, and connected data workflows, you will give sellers the context and tools they need to engage prospects more effectively. Success requires strong marketing judgement, technical curiosity, hands on workflow building experience, and the ability to connect automation to real commercial outcomes. In this role, you’ll: • Identify promising market segments, buying situations, and account level triggers in partnership with Sales. • Develop targeted outbound plays, defining the audience, buyer problem, messaging, offer, seller action, and success criteria. • Build, own, and optimise Clay tables and research workflows, connecting enrichment, signal detection, account research, and contact discovery. • Use AI to interpret market signals, classify accounts, and generate relevant research and messaging inputs. • Map key accounts and buying committees, providing sellers with clear, evidence based insights and recommended actions. • Work directly with Sales teams to test outbound plays, gather feedback, measure performance, and determine what to scale or refine. • Establish quality controls and source references to ensure research and AI generated outputs are accurate and trustworthy. • Turn successful experiments into reusable workflows, signals, audience logic, and play templates. • Connect outbound strategies with ABM, paid media, and lifecycle marketing initiatives. • Partner with RevOps on CRM integrations, sales tooling, tracking, and workflow governance. We’re looking for candidates who have: • Experience building B2B outbound, growth marketing, demand generation, or account based marketing programmes. • Strong marketing judgement across segmentation, buyer problems, positioning, and messaging. • Hands on experience with Clay or similar data enrichment and workflow automation platforms. • Practical experience using AI for research, classification, personalisation, and decision support. • A track record of working directly with Sales teams to turn growth ideas into executed outbound plays. • Experience identifying buying signals, researching accounts, and mapping buying committees. • The ability to distinguish verified evidence from assumptions and evaluate results critically. • A commercially minded approach, connecting growth activity to meetings, opportunities, and pipeline. Required Skills: Growth Marketing and GTM Strategy • Understanding of B2B go to market strategies, outbound motions, demand generation, and ABM. • Ability to identify high value segments and translate buyer insight into targeted growth plays. • Experience developing messaging and value propositions for specific audiences. Technical and Automation Skills • Hands on experience with Clay or comparable enrichment and automation platforms. • Experience connecting data sources, research workflows, and automation tools. • Practical use of AI for research, personalisation, and interpreting information. • Ability to structure data, troubleshoot workflows, and maintain data quality. Sales Partnership and Execution • Proven ability to work closely with Sales teams to develop and execute outbound strategies. • Ability to translate account insights into clear seller context and actionable recommendations. • Experience gathering feedback, improving adoption, and measuring commercial impact. Day to Day Activities • Identify growth opportunities through market research, buyer signals, and Sales feedback. • Build and maintain Clay tables for account enrichment, contact discovery, research, and prioritisation. • Develop AI powered workflows that generate accurate account insights and seller context. • Create and launch targeted outbound plays with Sales teams. • Analyse performance across engagement, meetings, opportunities, and pipeline. • Refine, scale, or retire workflows based on results and seller feedback. • Develop reusable research components, signals, and play templates. • Work with RevOps on Salesforce integrations, tracking, and governance. • Document workflows and best practices to support adoption across teams and markets. Personal Attributes • Builder mentality, enjoys getting hands on with tools, data, workflows, and automation. • Commercially minded, focused on generating meaningful sales conversations, opportunities, and pipeline. • Naturally curious about buyer behaviour, market dynamics, and emerging technologies. • Analytical and evidence driven, with strong attention to research quality and accuracy. • Experimentation focused, comfortable testing ideas and learning from results. • Collaborative and confident working directly with Sales and cross functional teams. • Self starter who takes ownership and thrives in a fast paced environment. • Excited by the potential of AI, automation, and connected data to transform go to market strategies. Nice to have experience: • Experience with Salesforce, Marketo, Demandbase, Goldcast, or Qualified. • Familiarity with sales engagement platforms and outbound sequencing tools. • Experience with APIs, webhooks, SQL, or data integrations. • Experience connecting outbound, ABM, paid media, and lifecycle marketing programmes. • Familiarity with data governance and research quality controls. AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: North Macedonia; Bosnia and Herzegovina; Czechia; Croatia; Moldova; Bulgaria; Montenegro Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX,  Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Compensation Manager at GitLab, you'll lead the design, planning, and execution of compensation programs that help us attract, retain, and reward team members. You'll own recurring programs, including the annual focal merit cycle, and provide guidance and oversight for promotion cycles, quarterly equity grant cycles, and semi-annual bonus programs. Working closely with Total Rewards leadership and partners across People, Finance, and Legal, you'll turn program objectives into clear deliverables, establish processes and controls, and see complex cycles through from planning to closeout. Your work will help ensure accurate, timely delivery and a clear experience for leaders, People teams, and team members. You'll be based in the United States. We prefer a West Coast location to support collaboration with stakeholders across time zones. What you’ll do Lead compensation programs from design and readiness through approvals, processing, communication, and post-cycle review, including ownership of the annual focal merit cycle and oversight of promotion, quarterly equity, and semi-annual bonus cycles. Define program calendars, decision points, responsibilities, controls, and success measures. Coordinate dependencies and keep stakeholders informed of progress, risks, and decisions. Ensure compliance with eligibility rules and develop process documentation, manager resources, and communications. Advise People Business Partners, Talent Acquisition, and leaders on program application and exceptions, escalating policy and governance decisions when needed. Analyze compensation data and program outcomes, develop recommendations for Total Rewards leadership, and partner with Finance on budgeting, cost modeling, and reconciliation. Partner with People Technology and IT systems stakeholders to improve workflows, reporting, and usability. Validate inputs and outputs, ensure timely processing, maintain audit and control documentation, and protect confidential compensation information. Oversee the annual refresh of global compensation and equity ranges to ensure accuracy, and support compensation partners with program delivery and analysis. Lead improvements that reduce program risks and friction, strengthen consistency and transparency, and improve the team member experience. Use clear documentation and asynchronous communication to coordinate work across time zones. What you’ll bring Experience designing and operating compensation programs, with expertise in corporate compensation and public company equity and a record of delivering complex merit, equity, bonus, or promotion cycles accurately from planning through closeout. Strong analytical and spreadsheet skills, including interpreting compensation data, building scenarios, checking assumptions, and explaining findings to decision-makers. An understanding of compensation governance, data integrity, and controls, with discretion and sound judgment when handling confidential information and sensitive decisions. The ability to translate policy and strategy into operating procedures, system requirements, and stakeholder guidance, plus experience with human resources information systems and compensation planning tools such as Pave and Workday, and comfort working on a Mac. Attention to detail, practical problem-solving skills, and the persistence to work through complex issues and deliver accurate outcomes. You can learn unfamiliar programs, systems, and business contexts quickly. The ability to build trusted partnerships, advise leaders and People teams, resolve ambiguity, and move decisions forward without relying on formal authority. Strong written and verbal communication skills and the ability to coordinate with global partners across time zones using asynchronous practices. Helpful, but not required: experience supporting a global, distributed workforce, including partners in India or other locations outside the United States; compensation-cycle communications; and experience in a software or technology company. About the team The current Compensation team consists of 2 Global Compensation Partners and a Lead Total Rewards Program Manager that collaborates with the Compensation and Benefits teams. We provide compensation programs for 40+ countries globally. Our compensation work brings together People Business Partners, Talent Acquisition, People Operations, and People Technology. We use clear written communication and collaboration to coordinate across a distributed workforce and time zones. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $139,200 — $235,200 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

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

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

We are seeking an experienced Recruiter to join our People Solutions Team and support our Life Sciences hiring in the Asia Pacific region. In this role, you will focus on sourcing, attracting, and hiring top talent for engineering roles within the life sciences and biotechnology spaces.

Location: New York, NY Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: Galaxy Digital Inc. (Nasdaq: GLXY) is seeking a Social Media Lead to manage and advance its social media presence across corporate, business, and executive channels. Reporting to the Head of Investor Relations and working closely with Marketing & Communications, this individual will drive day-to-day execution of Galaxy’s corporate social media strategy, contribute to editorial planning and publishing, and help strengthen the firm’s presence across key platforms. The role will reinforce Galaxy’s corporate narrative, bring its businesses and perspectives to life, and support communications with investors, clients, employees, and broader audiences. The role will also support firmwide internal communications by building, maintaining, and disseminating information through Galaxy’s intranet, helping employees stay informed and connected to the firm’s priorities. Especially important is that X is home to an active community of retail shareholders and clients, whose conversations are followed by a broad range of market participants, including institutional investors. This role will help Galaxy maintain a credible, informed, and consistent presence on the platform while supporting the firm’s broader communications priorities. We are looking for a digitally fluent, exceptional writer with strong business instincts and a track record of delivering high-quality work in a fast-moving, high-expectation environment. The ideal candidate combines strategic judgment with hands-on execution, can translate complex topics into accessible content, and takes ownership of the details, workflows, and relationships required to execute consistently well. What You’ll Do: Drive execution of Galaxy’s corporate social media strategy across corporate, business, and executive channels, with particular emphasis on X and LinkedIn, in close partnership with Investor Relations and Marketing & Communications. Support editorial planning and the coordinated corporate social media calendar, and manage publishing, monitoring, approval workflows, and day-to-day operations across Galaxy’s corporate social media channels, coordinating with relevant business teams and Marketing & Communications. Contribute to the development of clear, timely, platform-native content on Galaxy’s businesses, strategic priorities, market insights, research, corporate news, events, and people, including drafting, editing, and coordinating contributions from relevant teams. Monitor relevant conversations, audience sentiment, and emerging themes across social platforms, and identify opportunities to provide useful context, clarify the firm’s positioning, and support timely, thoughtful communications. Identify and promptly escalate shareholder-related, reputational, and other sensitive social media issues to Investor Relations and Marketing & Communications, as appropriate. Partner with Investor Relations on shareholder-facing messaging, earnings-related social content, key milestones, and consistent articulation of Galaxy’s investment thesis, while coordinating closely with Marketing & Communications on the broader brand and editorial strategy. Work with business leaders and subject matter experts to translate developments across digital assets, trading, asset management, digital infrastructure, and AI data centers into engaging, understandable communications. Support executive social media strategy and execution in partnership with Investor Relations and Marketing & Communications, including editorial planning, drafting, editing, publishing coordination, approvals, and identifying timely opportunities for engagement. Coordinate content review and approval with Investor Relations, Legal & Compliance, and relevant business stakeholders, ensuring required approvals and applicable regulatory and internal policy requirements are met before publication. Investor Relations retains final editorial approval for corporate social content, subject to established delegation and applicable Legal & Compliance requirements. Partner with internal and external creative teams on high-quality graphics, video, and multimedia content; provide clear editorial and creative direction. Plan and optimize organic and paid social initiatives, monitor performance and audience insights, and turn analytics into actionable recommendations. Build and maintain the firmwide intranet as a central hub for internal news, business updates, resources, and announcements; coordinate with stakeholders to keep information accurate, current, accessible, and effectively distributed to employees. Strengthen governance, reporting, and workflows to ensure consistent brand voice, responsive execution, and high standards across channels and teams. Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes. Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work. What We’re Looking For: 5+ years of experience in social media, digital communications, corporate communications, or related roles, preferably within investment banking, alternative asset management, financial services, technology, digital assets, or another fast-paced, high-performance organization; public company experience preferred. Proven ownership of brand or executive social channels, with strong knowledge of X and LinkedIn and an understanding of how audiences and content expectations differ across platforms. Exceptional writing and editing skills, editorial judgment, and ability to simplify complex business and market topics without sacrificing accuracy. Strong interest in financial markets, investing, technology, digital assets, and AI and data center infrastructure; prior digital asset experience is a plus, not a requirement. Understanding of diverse social media audiences, including retail shareholders, clients, and other external stakeholders, and the ability to tailor communications appropriately. Excellent organization, attention to detail, discretion, and ability to manage multiple priorities and tight deadlines while collaborating effectively with colleagues. Ability to earn the confidence of senior executives and collaborate effectively with Investor Relations, Marketing & Communications, business teams, Legal, and Compliance. Analytical and solutions-oriented, with experience using social metrics and audience insights to improve effectiveness. Experience managing intranet content, internal communications channels, or content management systems is a plus. Experience working with creative partners; familiarity with paid social, analytics platforms, and AI-enabled marketing tools preferred. What We Offer: Competitive base salary and discretionary bonus Hybrid/Flexible Working Arrangements Flexible Time Off (paid) 3% 401(k) company contribution Company-paid health and protective benefits for employees, partners, and other dependents Generous paid Parental Leave Competitive family planning benefits for US employees Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues Free daily snacks and weekly breakfasts/lunches Employee Resource Groups Free coaching and counseling sessions through Headspace Apply now and join us as we grow the economy that runs on code. The base salary ranges included below will be commensurate with candidate experience, expertise and local market. Final offer amounts are determined by multiple factors, including candidate experience and expertise. At Galaxy, we maintain a total compensation philosophy which consists of a competitive base salary, annual bonus, and equity incentives. Base Salary Range $120,000 — $150,000 USD Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

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

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

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as our next Staff Product Manager on Twilio’s Onboarding and Compliance product team. About the job Twilio is growing rapidly and is looking for a highly skilled and motivated Staff Product Manager to join our Trust Hub product team in Onboarding and Compliance. Trust Hub is Twilio’s KYC Platform (Know Your Customer), and it is the gateway to accessing all of Twilio’s communication APIs. In this role, you will own various Trust Hub products end to end where you will aim to create streamlined and lovable registration experiences while also maintaining best in class KYC standards. Responsibilities In this role, you’ll: Develop, communicate, generate excitement for and obtain buy-in of the product vision, strategy, and roadmap that aligns with the company's goals and objectives. Lead cross-functional teams to drive planning, design, development, and launch of products that execute on the vision Deeply understand customer needs and collaborate with engineering and UX to translate into product requirements and use stories Define key metrics to evaluate product performance, constantly analyzing data to inform product decisions and measure success Manage relationships and expectations with a wide range of cross-functional stakeholders at all levels of the organization Conduct regular data-driven business reviews that analyze product execution and revenue/market accomplishments Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: Minimum of 8 years of experience in product management in SaaS, IaaS or PaaS Proven track record of leading successful product launches and driving product strategies Command of analytical thinking skills with the ability to use quantitative and qualitative data to make product decisions, get executive buy-in, and drive towards measurable outcomes Excellent communication and interpersonal skills, with the ability to influence and collaborate at all levels and present effectively to internal and external stakeholders Strong technical, analytical, and UI/UX design understanding and the ability to dive deep while also keeping perspective on the big picture goals Initiative, ownership, and accountability to decode vague priorities, manage conflicting inputs, and drive initiatives forward against ambiguous and complex challenges Bachelor in Computer Science, Engineering, or equivalent practical experience Desired: Experience building products/services related to APIs, developer experience Experience working with telecommunications or other regulated ecosystems Location This role will be remote and based in the United States, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $188,240 - $235,300 . Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $199,280 - $249,100. Based in the San Francisco Bay area, California: $221,360 - $276,700. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until 11/12/2026, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: New York, New York, United States Lithic is the modern card issuing and processing platform empowering ambitious financial companies to build the future of payments. Our infrastructure powers card programs for 100+ innovative clients, from fintechs reimagining credit and digital banking to platforms transforming disbursements and spend management. Companies like Mercury, Flex, and Novo rely on Lithic's developer-friendly APIs, direct network connections, and flawless reconciliation to launch and scale card programs in weeks, not years. We're building a future where access to better financial products materially improves people's lives, free from the constraints of 30-year-old mainframes and legacy processors. We're proud to be backed by world-class investors who share that vision, including Bessemer Venture Partners, Index Ventures, Spark Capital, Stripes, and Mastercard, along with many others. We're a team of 170+ across 26 states and 7 countries, headquartered in New York City. Lithic is hiring a Senior Accountant to own the annual audit, support AP and AR activity, and drive the month-end close alongside the Accounting Manager. This role is the technical backbone of the accounting team. We encourage you to apply even if you don't meet every requirement below! What You'll Do Serve as the day-to-day lead on external audit requests — managing the PBC list, timeline, and fieldwork logistics, preparing schedules, workpapers, and tie-outs, and responding to auditor inquiries. Own product-level cash reconciliations across network payables, customer receivables, interchange, chargebacks, and fees — ensuring every dollar movement across the card lifecycle ties out between internal ledgers, processor/network reporting, and bank statements. Investigate reconciliation discrepancies using transaction-level data, document root causes, and partner with Data and Engineering to resolve underlying issues. Review AP and AR activity — payments, employee reimbursements, card issuance, invoicing, deferred revenue schedules, and credit application. Prepare and review month-end journal entries — accruals, allocations, reclasses — with adequate support and approval. Back up the Accounting Manager on monthly close to ensure timely, accurate reporting, including variance analysis and cost-saving opportunities. Research and document technical accounting positions, and help maintain and enforce company policies and procedures. Evaluate workflows and procedures, recommending and implementing changes that increase accuracy and efficiency. Provide guidance and technical review to junior team members, plus support for ad hoc analyses and projects. What You Bring BA/BS in Accounting with 4+ years in Big 4 and/or on a startup accounting team. FinTech experience preferred — familiarity with payments concepts (settlement, interchange, funds flow), or the ability to learn complex transactional data models quickly. Ability to write basic SQL to retrieve, filter, join, and summarize transactional data, with an investigative mindset to identify and explain discrepancies. Demonstrated use of AI tools (e.g., Claude) and advanced Excel to work through large, complex data sets — reconciliations, variance analysis, memo drafting, and process documentation. Experience working directly with auditors on an independent financial statement audit, with working knowledge of GAAP. Advanced ERP experience (preferably NetSuite) and hands-on AP/AR work, including subledger-to-GL reconciliation. Customer service-level communication skills with attention to accuracy and detail. Desire to succeed, adapt, and grow in a fast-paced organization, with an approachable demeanor that inspires trust. Experience with Salesforce, Ramp, Google Suite, and/or Looker is a plus. The annual US salary range for this role is $89,000 - $120,000 plus equity. This salary range may be inclusive of several career levels at Lithic and will be narrowed during the interview process based on the candidate’s experience and qualifications. This is a hybrid position. Candidates must be located within a commutable distance to our NYC office in Soho. We do not offer visa sponsorship or assistance. Benefits for Full-Time US Employees: Unlimited PTO 12-weeks fully paid parental leave 4-Week Fully Paid Sabbatical (earned at your 5-year anniversary) Work From Anywhere: work from anywhere in the world 4-weeks each year 3% cashback on card purchases with your complimentary Privacy.com employee account Health, vision, and dental insurance; HSA Contribution Match 401(k) match Voluntary Life Insurance and STD/LTD NYC-based employees work from our SoHo office three days a week. Tuesdays and Thursdays are our core days, and you'll choose a third day that works for your schedule and team needs. In-office employees receive: Commuter benefit Catered lunch every Tuesday and Thursday

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

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