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🚀 Agentic AI Engineer🚀 ✨Series A Fintech Start-Up ✨ 💎Equity you WILL realise💎 📍 Manhattan, New York 💸 $200k - $300k depending on level 🧩 $160k equity vested over 4 years 🚨 This is a career-defining role 🚨 This role sits inside one of the fastest-growing Series A Fintech start-ups, building production-grade agentic systems for complex, high-stakes enterprise workflows. The business has scaled at exceptional speed, closed a record-breaking Series A at the end of last year, and is now focused on building an elite engineering team to own the core AI infrastructure end-to-end. 💪 The Environment • Exceptional, high-performing teams, • Engineers work directly with founders daily, • No layers, no slow approvals, no hand-offs The intensity is deliberate. The aim is compression: • Faster learning curves, • Faster iteration cycles, • Faster ownership and decision-making 🧩 What You’ll Actually Be Building You will own and drive large portions of the AI agent infrastructure, from design through to production deployment. • Designing and deploying multi-agent systems, • Building and integrating RAG pipelines, • Creating evaluation frameworks (evals) to measure accuracy, reliability, and safety, • Shipping AI-powered features used by real enterprise customers, • Building backend services and APIs (Python, Django / FastAPI preferred), • Working across the stack — APIs, databases, infrastructure, and deployment pipelines, • Ensuring systems are scalable, performant, and secure in production 🧠 Who This Is For You’ll likely have: • Foundational software engineering experience, • Hands-on experience designing and deploying AI systems into production, end-to-end, • Strong backend engineering skills (Python), • Experience with relational databases, Redis, task queues, and background workers, • Familiarity with Docker, Kubernetes, and modern cloud infrastructure, • Experience with RAG, agent orchestration, and LLM evaluation techniques, • A high tolerance for ambiguity and shifting priorities 🏆 Why Exceptional People Say Yes Top engineers don’t optimise for comfort — they optimise for trajectory. • Talent density permanently raises their bar, • Founder access is direct and unfiltered, • One year of learning feels like several elsewhere, • The experience compounds long after they leave Then this is one of the most compelling Applied AI Engineering opportunities globally right now. #AIjobs #AIhiring #startup

Tech Lead level software engineer capable of deeply understanding business deliverables (the "why" of the change), tech debt updates, and modernization of the current code implementation leveraging previous experience and AI tools. C++, Java, SpringBoot, SQL Server, Linux, Angular/Full Stack Preferred. Technical Skillset 8+ years of advanced proficiency in Java (version 11 or higher) and C++, with over 4 years of experience in building complex, scalable applications. 8+ Expertise in Java, Spring Boot, capable of designing and implementing advanced microservices architectures. POSITION GENERAL DUTIES AND TASKS : How You’ll Help Us: • Our clients need digital solutions that will transform their business so they can succeed in today’s hypercompetitive marketplace. As a team member you will routinely deliver elite solutions to clients that will impact their products, customers, and services., • Using your development, design and leadership skills and experience, you will design and implement solutions based on client needs. You will collaborate with customers on future system enhancements, thus resulting to continued engagements. Our client is seeking a skilled Lead Java /C++ Developer. • The Lead Java/C++ Developer provides input and support for, and performs full systems life cycle management activities. He/She participates in component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements. This position provides input to applications development project plans and integrations. He/She collaborates with teams and supports emerging technologies to ensure effective communication and achievement of objectives. The Developer provides knowledge and support for applications development, integration, and maintenance. He/She provides input to department and project teams on decisions supporting projects.

Job DescriptionCustomer Success Manager Remote (U.S.) | Preference for East Coast Time Zone Direct Hire / Permanent PlacementHireNow Staffing is actively recruiting a seasoned, highly skilled Customer Success Manager on behalf of a valued client partner in the wholesale trade infrastructure startup sector. HireNow Staffing is acting as a direct placement partner for this Customer Success Manager opportunity.We are seeking a strategic, hands-on post-sales professional who can manage a high-value account portfolio, drive adoption, uncover expansion opportunities, and guide customers through operational and technical workflows. This role requires strong business acumen, consultative communication, and the ability to support customers using ERP-connected systems in complex operating environments.HireNow Disqualifier: Candidates with jumpy or unstable resumes will not be accepted or interviewed. We are prioritizing professionals with consistent tenure, progressive growth, and measurable customer impact.Key Responsibilities • Own a portfolio of approximately 70–100 customer accounts, driving retention, usage growth, payment volume, and expansion opportunities, • Conduct deep discovery sessions to understand customer workflows, operational pain points, and strategic goals, • Lead executive conversations with CFOs, Controllers, Operations leaders, and finance stakeholders through QBRs and ongoing engagement, • Drive adoption of platform capabilities such as automation tools, payment workflows, collections features, and credit-related solutions, • Monitor account health metrics and proactively build action plans to mitigate churn or underutilization risk, • Partner with Product teams to convert customer feedback into actionable enhancements and roadmap insights, • Collaborate cross-functionally with Sales, Implementation, Support, and Product teams to ensure successful outcomes, • Use AI tools, automation workflows, and data insights to improve internal efficiency and customer experience, • Identify expansion opportunities through consultative account planning and workflow optimization Required Qualifications (Highly Important), • 3–5+ years of experience in Customer Success, Account Management, Solutions Engineering, or strategic post-sales roles within a technically complex SaaS environment, • Experience supporting ERP-integrated software or operational systems such as SAP S/4HANA, NetSuite, Workday, or similar platforms, • Proven experience working with non-technical customers in industries such as distribution, wholesale, food service, logistics, hospitality, or blue-collar operations, • Strong executive communication skills with experience leading business reviews and stakeholder conversations, • Ability to explain technical workflows and product capabilities clearly to non-technical audiences, • Discovery-oriented mindset with strong problem-solving and consultative instincts, • Ability to manage a high-volume portfolio while maintaining service quality and growth focus, • Stable employment history with clear progression; candidates with jumpy resumes will not be considered Preferred Qualifications (Strongly Valued), • Experience at Series A–C startups or as an early post-sales hire building customer success processes, • Background in fintech, payments, accounts receivable, automation, or workflow software, • Hospitality, restaurant, food & beverage, or supply chain industry background, • Experience driving product adoption and expansion revenue beyond renewals, • Familiarity with AI tools and automation platforms for workflow efficiency, • Solutions Engineering experience blended with commercial customer ownership, • Strong analytical skills with ability to use account data to prioritize actions HireNow Disqualifiers, • Renewal-heavy CSM backgrounds where 50%+ of role was limited to renewals, • Unable to explain technical concepts clearly to customers, • Multiple consecutive job stints under two years without clear rationale, • No ERP-related software or operational systems exposure, • Base Salary: $96,000 – $128,000, • On-Target Earnings: $120,000 – $160,000+ (flexibility for exceptional candidates), • Additional Compensation: Meaningful equity + full benefits package, • Work Location: Fully Remote (U.S.) | Preference for East Coast Time Zone

Backend Engineer (AI Focus) – New York My client is a well funded early stage startup building a high scale social platform from the ground up. They are focused on building persistent, high performance systems capable of supporting massive real time traffic. Engineers joining my client will have the opportunity to work on a greenfield platform at scale, join a focused and highly capable team, and take ownership of critical backend systems from day one. The environment is fast paced and highly collaborative, with a strong emphasis on building systems that enable AI-driven product experiences, supported by long term financial stability. The Role My client is looking for a Backend Engineer with strong experience in distributed systems and an interest in AI-powered products. You will play a key role in designing and building the core infrastructure that powers real-time, intelligent user experiences at scale. Key Responsibilities • Design, build, and deploy backend services using TypeScript and NestJS with a focus on performance, scalability, and maintainability, • Architect and implement high traffic APIs, authentication systems, and distributed services enabling real-time and AI-enhanced product features, • Model and optimize data systems across relational databases, caches, and event streaming platforms to support both operational workloads and AI-driven insights, • Build resilient, event-driven systems using pub sub patterns and long-lived connections that handle large scale concurrent usage, • Work closely with AWS infrastructure to improve deployment pipelines, scalability, and overall system reliability, • Support backend systems that enable AI and machine learning workflows, including data pipelines and real-time inference services, • Collaborate with a small, high-performing engineering team to make strong technical decisions and execute quickly with high ownership Technical Requirements • Strong expertise in TypeScript, Node.js, and NestJS, with the ability to design and build production grade backend systems, • Proven experience implementing secure authentication systems using OAuth, FIDO2 or WebAuthn, and JWT, • Hands on experience working with Prisma ORM, PostgreSQL or Aurora, Redis, and DynamoDB across high-scale environments, • Experience with analytics or high performance data stores such as ClickHouse is beneficial but not required, • Strong understanding of distributed systems, including event driven architecture, pub sub patterns, and message brokers such as Kafka or AWS MSK, • Experience building real time systems, • Deep familiarity with AWS and cloud infrastructure, including services such as Aurora Global Database, RDS Proxy, ElastiCache or Valkey, EKS, and Terraform, • Experience working with observability tooling such as LGTM stack and implementing modern CI/ CD pipelines, • Proven track record of building external facing systems where performance, concurrency, and reliability are critical

Sr Production Engineer Duration: 12 Months (with possibility of extension based on performance and business needs.) Location: Remote: US ( Occasional travel to Yahoo offices Sunnywale, Ca or New York, NY) Coding test: Required Pay: $85-$100/Hr How does this role fit within the team/department? This role sits within Yahoo Mail's Production Engineering. Engineers in this role directly support cloud infrastructure reliability, cost efficiency, and automation for one of the world's largest consumer email platforms, serving hundreds of millions of users globally. Overview Of The Team Yahoo Mail Production Engineering manages GCP-based infrastructure including GKE clusters, Compute Engine, Dataproc, Vertex AI and more gcp services. The team is responsible for production reliability, capacity planning, cost optimization, CI/CD pipelines, MLOPS, and infrastructure-as-code across 40+ GCP projects on an extra large, petabyte data size scale. We work in close collaboration with software architects, developers and product managers to deliver end to end results. Primary responsibilities (daily/weekly)? • Operate, monitor, and improve GKE apps, Analytics, and ML production workloads, • Manage Terraform/Ansible/Helm IaC for GCP resource provisioning and policy enforcement, • Participate in on-call rotation for production incidents, • Review and improve CI/CD pipelines for services deployed in Python, Node.js, and Java, • Collaborate with architects and developers on infrastructure architecture and design, • Automate cloud operations through programmable and secure solutions, • Leverage AI-driven tools for development agents, troubleshooting, and automation Key projects or initiatives for the role? • On-prem to GCP migration of large-scale Yahoo Mail workloads, • Analyti- Analytics pipeline and reliability improvementsplatform work (Vertex AI, Generative AI, BigQuery, Looker, Dataproc) Success metrics or KPIs for this role? • On-call incident resolution time and escalation rate (MTTD, MTTR, MTTE), • Terraform/IaC coverage of managed resources, • CI/CD pipeline reliability and deployment velocity, • Progress on on-prem to GCP migration milestones, • Sprint goal achievement (SMART goals per sprint) Technical (Required) • 5+ years in SRE, DevOps, Infrastructure, or Cloud Operations with on-call duties, • GCP services proficiency: GKE, GCE, Networking, Security, CI/CD, and common cloud technologies, • IaC proficiency: Terraform, Ansible, and Helm Charts, • Programming in Python, Node.js, and Java; ability to build CI/CD pipelines in these languages, • Linux, TCP/IP, HTTP, mail protocols, DNS, CDN, load balancers, and troubleshooting, • Experience with large-scale production applications, systems, and networks Technical (Advantageous) • Cloud databases and storage: GCS, Cloud SQL, Spanner, Memorystore, • ML/AI platforms: Vertex AI, Generative AI, BigQuery, Looker, Dataproc, • Cloud Observability and OpenTelemetry, • Proven track record migrating on-prem infrastructure to GCP, • Operational experience in both on-prem and cloud environments Ideal experience level (years, leadership, industries)? 5+ years total cloud/SRE experience, with preference for GCP. Experience at large-scale internet companies with petabytes level data production systems is strongly preferred.

SailPoint is the leading, AI-driven security platform providing the autonomous governance that best solves the needs of the modern enterprise. By harnessing the power of AI and machine learning, SailPoint automates and streamlines the complexity of delivering the right access to the right identities and technology resources at the right time. Delivered at the scale our enterprise customers demand. We are proud of our team and the culture we have built, which has led to our employees voting us “best places to work” – 15 years in a row. The role: SailPoint is seeking an Advisory Solution Consultant (pre-sales Solution Engineer) to support the US Northeast sales regions for Strategic accounts. You will partner with our sales teams by applying your technical abilities and business acumen in support of SailPoint’s growth objectives. Responsibilities: • Actively participate in the sales process and work closely with the direct and channel sales teams, • Discover and understand customer requirements and align our solutions to those requirements, • Present SailPoint business functions, value, and competitive differences, • Provide product demonstrations to prospective customers, • Assist in developing RFP responses in coordination with our RFP response team, • Participate in onsite and remote Proof of Value (POV) evaluations, • Provide feedback to Product Management on product enhancements Requirements: • 5+ years of professional experience as a pre-sales technical resource in an enterprise software company (B2B), • Excellent written and verbal communication skills, • A working knowledge of technical infrastructure, including web services, application servers, databases, virtualization, and directories is required, • Conversant in modern SaaS architecture and familiarity with IaaS platforms such as Azure/AWS/GCP, • Experience with APIs and API tools such as Postman, Agentic AI technology such as Amazon Bedrock AgentCore, Google Vertex, Azure Foundry, Salesforce Agentforce, etc., LLMs, MCP, RAG, Java, XML, LDAP, SQL, and JSON is desirable, • 3+ years working with Identity, Governance, and Access Management solutions is preferred Path to Success: Within the first 4 months, you will: • Learn the Identity Security and Identity Management space, • Participate in demo best practices training, presentation skills training, negotiation,, • Handle initial demos and discussions in IGA, • Attend Revenue Onboarding for a deep dive into Challenger Sales training, • Hone technical discovery skills through SE Scrum groups, • Pitch to Account Executives (AEs) to master messaging and build relationships, • Navigate internal relationships with Customer Success Managers, Product Management, Professional Services, and Partners, • Coordinate with AEs before and after client calls, tying what is presented back to business value Within 6 months to 1 year, you will: • Contribute to building new technical collateral for organization-wide use, • Grow familiarity with IT audit functions, regulatory frameworks, SOX, HIPAA, NERC-CIP, GDPR, and CCPA, • Speak at national or regional conferences and meetups, • Proactively network and build your own personal brand, • Articulate the business value of SailPoint as a strategic sale, • Communicate at the business level with clients outside of IT, such as HR, Finance, risk management, counsel, and lines of business, • Be fluent in the language of Identity Security Location: • Residence in any Northeast state is required., • We anticipate 25% travel and flexibility to travel within the US (primarily in the Northeast states) will be necessary. Education: • BA/BS or global equivalent, • 8 years of related experience Benefits and Compensation listed vary based on the location of your employment and the nature of your employment with SailPoint. As a part of the total compensation package, this role may be eligible for the SailPoint Corporate Bonus Plan or a role-specific commission, along with potential eligibility for equity participation. SailPoint maintains broad salary ranges for its roles to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect SailPoint’s differing products, industries, and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. We estimate the base salary, for US-based employees, will be in this range from (min-mid-max, USD): $116,900 - $197,083.60 Base salaries for employees based in other locations are competitive for the employee’s home location. Benefits Overview 1. Health and wellness coverage: Medical, dental, and vision insurance, 2. Disability coverage: Short-term and long-term disability, 3. Life protection: Life insurance and Accidental Death & Dismemberment (AD&D), 4. Additional life coverage options: Supplemental life insurance for employees, spouses, and children, 5. Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account, 6. Financial security: 401(k) Savings and Investment Plan with company matching, 7. Time off benefits: Flexible vacation policy, 8. Holidays: 8 paid holidays annually, 9. Sick leave, 10. Parental support: Paid parental leave, 11. Employee Assistance Program (EAP) and Care Counselors, 12. Voluntary benefits: Legal Assistance, Critical Illness, Accident, Hospital Indemnity and Pet Insurance options, 13. Health Savings Account (HSA) with employer contribution SailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable law. Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact or mail to 11120 Four Points Dr, Suite 100, Austin, TX 78726, to discuss reasonable accommodations. NOTE: Any unsolicited resumes sent by candidates or agencies to this email will not be considered for current openings at SailPoint.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Cybersecurity Engineer - Blue Team Type: Contract Compensation: $85–$140/hour Location: Remote Role Responsibilities • Design and build benchmark tasks grounded in real SOC and detection engineering work., • Construct realistic evaluation environments, including multi-host networks, Active Directory, and cloud control planes., • Define what "correct" looks like for blue-team AI reasoning and build infrastructure to measure it reproducibly at scale., • Translate blue-team workflow experience into rigorous evaluation design. Must-Have • Hands-on blue-team experience in detection engineering, threat hunting, incident response, or malware analysis., • Upload resume, • AI interview based on your resume

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Senior Staff Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the primary technical point of contact for strategic enterprise accounts, • Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Provide technical training and knowledge transfer to customer teams, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 12+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$288,000—$360,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The Connectivity team owns the core platform that enables Scale to continuously generate, evaluate, and deliver high-quality training data to our customers. Our systems sit at the center of Scale's data and AI infrastructure, powering large-scale workflows while supporting frontier AI capabilities such as multi-modality, long-horizon reasoning, and agentic behavior. We're looking for a senior engineer with deep experience building robust platforms, someone who brings strong architectural judgment, a bias toward correctness and reliability, and the ability to design systems that scale and evolve cleanly over time. This is a backend-heavy role with full-stack expectations and significant ownership from design through long-term operation. • Design and own foundational platform systems that support scalable data generation, evaluation, and bespoke customer delivery across Scale's ecosystem., • Architect extensible, production-grade services that can support frontier AI workflows, including multi-modal inputs, long-running processes, and agentic orchestration., • Build and operate distributed systems at scale, with strong guarantees around correctness, reliability, observability, and cost efficiency., • Integrate with public LLM APIs and AI services, designing abstractions that are resilient to model churn, latency variability, and evolving usage patterns., • Design and maintain data transformation and processing systems, supporting complex schema evolution, customization, and high-throughput workloads., • Partner closely with infrastructure, product, and customer-facing teams to define requirements, shape technical direction, and deliver seamless integration experiences for customers., • Lead multi-quarter technical initiatives, including authoring and driving a 6+ month technical roadmap for major platform investments., • Apply strong engineering judgment in ambiguous problem spaces, balancing speed with long-term maintainability and operational excellence., • Raise the quality bar through thoughtful system design reviews, rigorous code reviews, and mentorship grounded in real-world production experience., • 7+ years of professional software engineering experience, with a strong background in building and operating large-scale, production-grade platforms., • Deep expertise in distributed systems and cloud-native architectures, including Kubernetes, microservices, event-driven systems, caching, and production databases., • Proven ability to lead multi-quarter technical initiatives, work effectively across cross-functional teams, and apply strong architectural judgment in ambiguous environments., • Preferred: Experience integrating with public LLM APIs and designing systems that handle scale, reliability, latency, and cost tradeoffs. Preferred: Experience building or operating data processing and transformation systems supporting complex workflows and evolving schemas. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Senior AI Engineer (REACT/Front End) Location: Hybrid, USA (Birmingham, MI, Chicago, IL, New York, NY, Fort Lauderdale, FL) Employment Type: Full-Time Compensation: $120,000 - $149,750,000 (Range applies to US candidates only) + Benefits/Variable Comp/Equity - Range may vary based on experience. Benefits Offered: Vision, Medical, Life, Dental, 401K Summary As a Senior AI Engineer you will be a critical member in executing our AI development initiatives within the OneStream platform. The AI Product and Engineering team is focused on bridging the gap between AI research and AI products, bringing tangible and quantifiable value to our end users. Your primary function will involve overseeing the entire lifecycle of AI and software subsystems-from defining requirements and designing systems to project planning and implementation. This critical role is instrumental in enhancing our AI capabilities, directly impacting our products' performance and scalability across various markets. In this position, you will also play a key leadership role, collaborating with cross-functional teams including Solution Engineering, AI Delivery, and Cloud Engineering. Your expertise will not only drive innovation but also mentor and guide other engineers, ensuring high-quality deliverables and promoting a culture of excellence. Primary Duties and Responsibilities • Lead the design and development of scalable, high-performance applications and services using a variety of front-end and back-end technologies., • Design software subsystems and lead the project management and timely execution., • Use Python and SQL to build AI systems and functionality., • Troubleshoot and debug issues across the full stack, from the user interface to the database layer., • Lead technical design sessions to decompose and design complex systems and interfaces, ensuring they meet both technical and user requirements., • Lead code reviews, provide technical guidance, and mentor junior engineers., • Plan out product releases at a strategic and tactical implementation level for the rest of the team. Required Education and Experience • Bachelors Degree or similar work experience., • CS/DS/EE/CE Degree or similar experience., • 3-5 Years experience building and deploying production-level machine learning solutions or similar experience., • 3-5 Years of Python (or similar experience)., • Proficiency in Database schema design., • Proficiency of distributed systems and cloud-based computing. Preferred Education and Experience • Experience with web services and API frameworks (Flask, FastAPI, etc.)., • Knowledge of distributed systems and cloud-based computing. Knowledge, Skills, and Abilities • Quick learner who can understand and self-teach new technologies., • Ability to multi-task and prioritize ongoing activities based on importance., • Writes code using timeless software design patterns (dependency injection, volatility decomposition, etc.)., • Adaptable to changes in technology and the business environment., • Strong ability to analyze problems, trace them to their core causes, and effectively address them in a systematic manner., • Excellent verbal and written communication skills, capable of mentoring junior engineers and leading project teams., • Proficient organization skills to lead and deliver complex projects on schedule., • Capable and comfortable effectively presenting in front of your peers., • Comfortable engaging and presenting to C-level executives from time to time. Travel • Minimal travel is required. Who We Are OneStream is how today's Finance teams can go beyond just reporting on the past and Take Finance Further by steering the business to the future. It's the only enterprise finance platform that unifies financial and operational data, embeds AI for better decisions and productivity, and empowers the CFO to become a critical driver of business strategy and execution. Our vision is to be the operating system for modern finance, digitizing core financial functions and empowering the CFO to become a critical driver of business strategy. To learn more visit ___. Why Join The OneStream Team • Transparency around corporate structure, salary, and benefits., • Core value of customer success., • Variety of project work (not industry-specific)., • Strong culture andcamaraderie., • Multiple training opportunities. Benefits at OneStream OneStream employees are passionate, hardworking individuals who go above and beyond to keep our customers happy and follow through on our mission statement. They consistently deliver the best and in turn, we make every effort to keep them cared for and happy. A sample of the benefits we provide are: • Excellent Medical Plan., • Dental & Vision Insurance., • Life Insurance., • Short & Long Term Disability., • Vacation Time., • Paid Holidays., • Professional Development., • Retirement Plan. All candidates must be legally authorized to work for any company in the country where this position is located without sponsorship. OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-JP1 Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the ___ notice from the Department of Labor.

Scale AI's Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We're looking for a hands-on Field Engineering Manager on the front lines leading a team of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers. This role is ideal for someone who thrives in technical environments, enjoys managing teams while staying close to the code, and wants to work on meaningful problems that impact real world operations across the U.S. government. Field Engineers are software engineering generalists who enjoy working with clients directly, taking ambiguous requirements and issues, and quickly designing and building production-grade solutions in close collaboration with the Product, Engineering, and Delivery teams. Field Engineers are experts on Scale's products and codebase, and have general technical knowledge on GenAI systems, APIs, networking, and data engineering. Field Engineers are strong relationship builders, great project managers, and always fun to work with. You'll play a critical role in delivering technical solutions-all while helping your team grow and execute. You'll split your time between technical planning and execution (50%) and people management and team development (50%), leading a team of 6-8 engineers. You'll work cross-functionally with product, engineering, security, and delivery teams to ensure our engineering efforts meet complex federal compliance, security, and performance needs. Day to day: • 50% Field engineering - customer engagement, technical development and delivery, • Recruit a high-performing engineering team., • Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of customer facing engineers working on Generative AI projects., • Collaborating with cross-functional teams to define, design, and execute strategic roadmap based on customer needs., • Work directly with customers to understand their problems and translate those into custom workflows within Scale's platform., • Be open to ~25% travel or relocation to a key customer geographic location., • Collaborate with cross-functional teams to define the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments., • Implement end-to-end data integrations, syncing customer's data to Scale's platform and back., • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions., • Lead end-to-end technical delivery of custom workflows from scoping to development to testing to implementation, • 5+ years of full-time engineering experience, post-graduation., • 2+ years of prior engineering management or equivalent experience and previously managed an engineering team., • Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles., • Prior experience developing with Python and JavaScript, or other modern software languages., • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus., • Linux experience: Understanding of shell scripting, operating systems, etc., • Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc) is a plus., • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles., • Understand unique DoD and USG constraints when it comes to technology. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$273,700—$341,550 USD Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$238,050—$297,850 USDPlease reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado, Hawaii is:$213,900—$267,950 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Business Area: Sales Engineering Seniority Level: Mid-Senior level Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises. As the world generates even more volumes of data, from any device or thing, companies are discovering the need to gain immediate insights from their data by studying recurringtrends and patterns over time,and staying competitive by implementing predictive actions for their business that willyieldpositive outcomes. Cloudera's CDP Platform enables customers to harness those volumes of increasingly valuable data by securely hosting data lakes and efficiently managing data analytics & computing workloads between public clouds and private cloud solutions in data centers. As aCloudera Solutions Engineer, you will help customers be successful in deploying the CDP platform. You will utilize your strong technical skills, business competencies and customer service orientation, provide the highest level of solution design, and deliver technical value to sales teams, prospects and customers, to support sales goals. Job Responsibilities: * Create and deliver customer-centric solution designs, proposed architectures and business outcomes to all levels - developers, architects, CTO, and CIO * Work with cross-functional teams including Sales, Marketing, Product Management, Services, Support, Training, and Engineering to share Cloudera's Vision with customers * Advise customers on use case patterns through discovery and requirements workshops * Transform customer feedback into actionable product roadmap items * Work with teammates and management to define technical selling strategy * Participate within the Cloudera community, share evangelism activities (blogs, meetups, industry events), and contribute to internal and external knowledge repositories Qualifications: * 5+ years of professional work experience in a similar position, selling solutions to business leaders and technical champions in the enterprise. * You have strong experience with AI ecosystems (Agentic AI, Ethical AI solutions, Generative AI solutions and AI Development Tools like Cursor, CoPilot and Claude). * You have demonstrated problem solving and analytical skills. * You have experience in Solution Architecture/Engineering as a field of practice (an ability to listen to customer requirements, whiteboard and propose solution architectures, and be hands-on with the tech) to design, build, and demonstrate real business value * You have experience with the Apache Hadoop ecosystem (HDFS, YARN) and related components (Spark, Hive, Impala, Kudu, Solr, etc.) and can talk to the benefits of a centralized architecture for bothdata management and data access * You have experience with public cloud infrastructures (AWS, Azure, GCP, IBM Cloud, etc.) You have an interest in achieving your public cloud certification. * You have experience with the Linux OS and bare metal, VM, and distributed container platforms Kubernetes or OpenShift. You may have some experience with specific private cloud infrastructures (Server Hardware, Storage, Networking). * You have some experience of the formation of Data Lakes, principles of Data Warehousing, SQL and relational database patterns, and application integration * You have some knowledge of differentiators across the competitive landscape * You have some basic software development experience in Java, Scala or Python * You may have experience with Data Flow, Queues and Stream Processing (Nifi,Kafka, Flink, Spark) in enterprise applications * You have an interest in Data Science and understand the difference between Data Engineering and Applied Science * You care about your colleagues, and you will get the job done together. You are passionate about what you do and inspire people around you * Bachelor's Degree or equivalent experience in a Technical Field Bonus Skills: * You understand the challenges in operations and integration of enterprise platforms for Security and Data Governance in the enterprise * Experience with, and interest in, open-source software and development practices * NoSQL or Operational-DB experience (HBase, Phoenix, Accumlo, Druid, Cassandra, MongoDB, etc.) Maybeyou can even debate one option over another? * EDW experience - Teradata, Netezza, GreenPlum, Exadata Data Science and ML experience - (R, Python, Anaconda, Jupyter, Deep Learning Frameworks etc.) * Integration Products experience (Talend, DataStage, Informatica BDM, Qlik, Tableau, Zoomdata, Tibco, MuleSoft, IBM, Oracle, Spring Integration, etc.) The right person in this role has an opportunity to make a huge impact at Cloudera and add value to our future decisions. If this position has piqued your interest and you have what we described - we invite you apply! An adventure in data awaits. What you can expect from us: * Generous PTO Policy * Support work life balance with ___ * Flexible WFH Policy * Mental & Physical Wellness programs * Phone and Internet Reimbursement program * Access to Continued Career Development * Comprehensive Benefits and Competitive Packages * * Employee Resource Groups EEO/VEVRAA #LI-MH2 #LI-Remote

Masters or Bachelors in Computer Science, Software Engineering or similar is ideal.

Outlier helps the world’s most innovative companies improve their AI agents by providing human feedback.We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents.Our projects focus on teaching these systems how to design, coordin

Outlier helps the world’s most innovative companies improve their AI agents by providing human feedback.We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents.Our projects focus on teaching these systems how to design, coordin

Outlier helps the world’s most innovative companies improve their AI agents by providing human feedback.We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents.Our projects focus on teaching these systems how to design, coordin

Outlier helps the world’s most innovative companies improve their AI agents by providing human feedback.We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents.Our projects focus on teaching these systems how to design, coordin

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation

We are seeking an accomplished and experienced AI Product Engineer who has built generative AI products to join our team and lead our AI efforts from inception to implementation. Proven experience implementing the full lifecycle of an early-phase AI development, from ideating on which models to use

Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Software engineering and/or Data Engineering background, especially in one of the major clouds. Architect and refine sophisticated ML models and algorithms, transl

Experience as a solutions engineer, forward-deployed engineer, or applied AI engineer at an AI-native or infrastructure company. As a Senior Solutions Engineer within the AI Search Infrastructure Group, your role will be pivotal in driving technical success for enterprise API customers, particularly

The Senior Software Engineer will report to our Head of AI and Engineering. System is seeking a highly motivated and experienced Senior Software Engineer to join our team. As Senior Software Engineer, you will:.

You will be the primary advocate for GenAI, fostering a culture of “AI-first” engineering by building agentic workflows that accelerate Cloud Orchestration, CI/CD, Observability, and FinOps. Act as a force multiplier by mentoring engineers on advanced AI tooling, prompt engineering for infrastru

Resource Innovations is seeking Lead Java Software Engineer to join our growing Software as a Service (SaaS) team. Stay current with evolving technologies, including AI-assisted development practices, and recommend improvements to tools, frameworks, and engineering processes. Bachelor’s or Maste

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work.Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fort

With an unlimited budget for Anthropic tokens, our engineers use AI agents to write, review, and ship production code every day. You'll shape platform architecture, drive AI-powered product delivery, and raise the bar for what a small, AI-augmented engineering team can accomplish. This is a role for

We’re looking for a Principal Software Engineer to be a technical anchor for Prospecting Agent. As a Principal Engineer on this team, you will help define how data, AI, and workflows come together to power intelligent prospecting at scale. If you are joining our Engineering team, you will be requi

Deep experience designing and implementing customer-facing APIs as long-lived products. Experience building high-performance APIs and service layers over heterogeneous data systems. This role is deeply technical and execution-focused, responsible for defining API contracts, building production serv

We are seeking a creative and proven Agentic AI Engineer to join our dynamic team and play a crucial role in unlocking the potential of our AI models. Mentor and guide engineering teams on best practices in developing agent-based AI solutions. Drive technical excellence and promote engineering best

You’ll partner closely with Senior ICs, AI engineers, and cross-functional teams to shape shared execution patterns, define platform contracts, and evolve the foundations that support S+Engine and future AI use cases. As a Software Engineer II, AI Platform, you’ll help implement the design and c

We are looking for a Senior Field Engineer to join our Innovation Group within the Professional Services organization at Kong. As a Senior Field Engineer in this group, you will be responsible for enhancing our Migration Automation Framework using state-of-the-art AI Coding Agents to build robust, s

AI agents and AI-enabled engineering tools focused on developer productivity, workflow automation, and large enterprise-scale software delivery. Build internal AI agents, agent-oriented workflows, and AI-enabled engineering tools. Hands-on experience building AI-enabled workflows, agents, orchestrat

As a Backend Engineer on LaunchDarkly’s AI Configs team, you'll build critical systems such as the web application that customers interact with on a daily basis and distributed systems that power AI evaluations at scale. Build and maintain scalable backend services and APIs that power the AI Confi

Rushdown Studios is looking for an experienced Unreal Engineer to join us in support of our partner studio! In this role, you’ll work on challenging projects to develop a range of features within Unreal Engine, which may include engine modifications, gameplay, game AI, UI, audio, networking, rende

We are looking for a creative and resourceful Senior Gameplay Engineer with effective leadership skills, a clear understanding of Unity programming, experience developing combat AI systems, a logical and systemic thinker, with an iterative approach to development, a collaborative spirit, excellent c

We are looking to add a software engineer who will contribute to the full software development lifecycle, with a strong emphasis on AI. You’ll work with a modern tech stack including Python, Azure OpenAI, Langchain, Postgres, Docker, Cursor, Git, Azure DevOps, React, and AI Agents to deliver high-

Computer Science, Engineering, or a related field, or equivalent practical experience. Understanding of cybersecurity concepts (vulnerability management, cloud security) is a plus, but not required if you are a strong systems engineer. Tenable is not only building great products and carving out a co

Our enterprise AI development platform sits at the intersection of breakthrough AI research and practical developer needs. We're revolutionizing how AI Agents work by solving AI's most critical challenge: context. Contextual AI is hiring a Forward Deployed Engineer to be part of the GTM team.

ABOUT THE TEAM Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialise and deploy LLMs into production with measurable impact. We provide the core infrastructure to tune, evaluate, and serve specialised models at scale — pioneering task-specific LLM development and running production-ready workflows that serve millions of requests while optimising for both cost and performance across distributed systems. Our tightly-knit team was previously involved in the creation of state-of-the-art open-access large language models. We raised a $20M seed led by Index Ventures and ICONIQ in early 2024, and we’re already live in production with customers including Manulife, AT&T, and Deloitte, across travel and financial services — with much more to be announced soon. ABOUT THE ROLE We’re looking for a Customer Success Engineer to be the technical backbone of our customer relationships — from the first technical conversation through to long-term production success. Based in New York City, you’ll operate across the full customer lifecycle: deep enough technically to win enterprise deals in pre-sales, and commercially minded enough to grow and retain the accounts you help land. The best people in this kind of role run rigorous discovery, design architectures that solve real business problems, and earn the kind of trust that makes customers come back for every major decision. You won’t just hand off after a deal closes. You’ll stay embedded: owning deployment success, driving adoption, and becoming the trusted technical advisor your customers rely on in production. The role suits someone who has operated at the intersection of Solutions Engineering and Customer Success before, or a strong Solutions Architect ready to own the full arc of customer value. WHAT YOU’LL DO Pre-Sales * Lead customer-facing workload planning — understanding model usage patterns, expected throughput, and infrastructure constraints to scope solutions accurately from day one. * Own solution architecture in the sales cycle: infra selection, TCO calculation, and performance benchmarking tailored to each prospect’s environment and LLM workloads. * Design and deliver compelling technical demos and proof-of-concept implementations that map Adaptive ML’s capabilities directly to customer pain points and existing infrastructure. * Respond to technical evaluations, RFPs, and security reviews; go deep with engineering and data science counterparts on architecture decisions and integration requirements. * Partner with Account Executives to shape deal strategy, accelerate procurement timelines, and remove technical blockers standing between a prospect and a signed contract. Post-Sales * Own technical onboarding end-to-end — designing integration architectures, working directly with customer engineering teams, and driving time-to-first-value. * Support and continuously optimise live deployments: cost optimisation, performance tuning, and workload expansion across multi-geo and multi-team customer environments. * Be the escalation point for production issues — investigating and debugging problems spanning k8s deployments, Helm configurations, model serving infrastructure, and distributed systems. * Drive workload expansion proactively: surface new use cases, additional model workflows, and untapped product capabilities that create value across your account portfolio. * Conduct regular technical and business reviews with customer stakeholders, translating infrastructure metrics into business impact and building the case for renewal and growth. Internal & Cross-Functional * Build reusable technical assets — reference architectures, integration guides, runbooks, and demo environments — that scale knowledge and accelerate future deals. * Act as the voice of the customer internally: channel field insights directly to Product and Engineering to shape the roadmap and prioritisation. * Contribute to infra sizing and workload planning discussions alongside Solutions and DevOps colleagues, with particular focus on the NA region (NYC/Toronto coverage). YOUR (IDEAL) BACKGROUND We encourage candidates to apply even if their experience doesn’t match every point below. Experience * 3–6+ years in a customer-facing technical role — Solutions Engineer, Solutions Architect, Customer Success Engineer, or Technical Account Manager — ideally in B2B SaaS, cloud, or infrastructure. * Proven ability to operate across both pre-sales and post-sales: you’re as comfortable running a technical architecture review for a VP of Engineering as you are debugging a production incident with a DevOps team. * Track record with enterprise customers in complex technical environments — multi-stakeholder deals, long sales cycles, and durable post-sale technical relationships. * Demonstrable outcomes: successful deployments, adoption growth, expansion revenue, or strong renewal rates. You own the result, not just the activity. * Experience at a fast-growth or early-stage company is a strong plus — you know what it takes to build things from scratch under pressure. Technical Skills * Strong infrastructure instincts: you can confidently size GPU and storage requirements, reason about TCO trade-offs, and produce architecture diagrams that a CTO would trust. * Skilled at architecture design — you can whiteboard a solution live, document it clearly, and defend design decisions with technical rigour. * Hands-on with Kubernetes (k8s): you can investigate deployment issues, read and edit Helm charts, and navigate distributed systems problems in production environments. * Python proficiency — enough to build proof-of-concepts, write integration scripts, and benchmark model performance against real customer workloads. * Familiarity with ML infrastructure concepts: model serving, LLM fine-tuning, inference optimisation, and the operational realities of running models at scale is a strong plus. * Comfortable working alongside DevOps and SRE teams; you understand their tooling, constraints, and language. The Right Profile * You ask sharp discovery questions, design clean solutions, and earn trust through genuine expertise rather than commercial polish. * Strong communicator across audiences — you can simplify a complex distributed architecture for a CFO and go deep on inference latency with a staff ML engineer in the same afternoon. * You own outcomes. In fast-moving, ambiguous environments you figure out what matters and act — you don’t wait for a brief. * Genuine curiosity about generative AI and LLMs. The technology you’re selling and supporting moves fast; intellectual interest in the space makes a real difference. * Based in New York City, comfortable in the NA time zone for customer-facing coverage. BENEFITS * Comprehensive medical (health, dental, and vision) insurance. * 401(k) plan with 4% matching. * Unlimited PTO — we strongly encourage at least 5 weeks each year. * Mental health, wellness, and personal development stipends. * Visa sponsorship available if required.

You should be equally comfortable reasoning about distributed systems and data (latency, caching, queues, failure modes, cost) as you are with modern agent stacks (tool use, memory, RAG, multi-step planning, guardrails, and evaluation). This role will partner closely with platform engineering to lev

SnapLogic is seeking a Staff Software Engineer to join our Agent Creator Team. As a Staff Software Engineer, you’ll take ownership of the design, development, and deployment of complex integrations that utilize cutting-edge AI technologies to drive automation and enhance product functionality.

Hardware Engineer or Embedded Systems Engineer. You'll draw on your hands-on experience with schematic capture, PCB layout, or embedded hardware design to evaluate AI-generated content and provide feedback that helps AI better understand electronics design tasks and EDA workflows. PCB Designer or El

Symmetrio is recruiting a lead QA Engineer to support a large enterprise technology modernization initiative focused on workforce systems and operational platforms. Collaborate with engineering, infrastructure, and business teams to ensure testing aligns with operational goals and project requiremen

We are hiring our first AI Go-to-Market Engineer to architect, deploy, train, and continuously optimize AI agents and automation across the entire revenue engine — from first touch to closed-won to expansion. You will sit at the intersection of revenue operations, sales, marketing, and customer su

Spotify is hiring a Full Stack Engineer to join the Spotify Advertising Team. Our teams are responsible for building and maintaining critical systems that power advertising data, brand safety, content review, and AI-driven ad experiences across Spotify. Build, maintain, and evolve backend services a

The Data Engineer – Asset Management Analytics supports internal Asset Management and Asset Accounting customers by delivering AI-driven analytics products that support asset onboarding and improve portfolio health, asset performance, operational decision-making, and accounting readiness. Collabor

As a Senior or Staff Software Engineer on our Mapping team, you will act as a versatile, foundational builder for our highly scalable, AI-driven mapping infrastructure. Engineer real-time, high-availability, and low-latency systems for fleet of self-driving vehicles. Familiarity with Machine Learnin

As a Senior AI Engineer on the Boltline team, you will design, build, and deploy intelligent systems that augment our platform's capabilities—from agentic workflows that automate complex manufacturing processes to RAG pipelines that surface critical institutional knowledge. Design and implement