Engineering Lead Jobs

Process Integration, Yield and Defect Reduction Engineering Lead — New Mexico, Albuquerque. Apply via Workday.

Software Engineering Lead- Automation Platform — Taipei City, Taiwan Region. Apply via Workday.

The Electrical Engineering Lead manages electrical engineering activities to ensure cohesive project execution and alignment with project requirements. They provide progress updates, handle change requests, and conduct risk assessments, ensuring compliance with industry standards. The role involves leading technical meetings, reviewing and updating technical specifications, and overseeing procurement activities. The Electrical Engineering Lead monitors project documentation, budgets, and progress, presenting status reports and identifying cost-saving measures. They provide on-site support during construction, oversee electrical systems' installation and testing, and ensure adherence to safety standards and regulations. The Electrical Engineering Lead facilitates communication among stakeholders and manages the daily performance and development of the electrical team. Source: Adani Group | Job ID: 40198

Salary range: $300k - $350k | Equity: 0.4% - 0.6% | In-Person: NYC About Datalab Datalab trains models that read documents reliably at scale. The world's most important information is trapped in PDFs, scans, and files that can't easily be parsed, and getting it out correctly matters. From frontier AI labs processing training data to Fortune 500s like Siemens extracting decades of engineering records, Datalab is where businesses turn to when extraction has to be right. We’re at an 8-figure run rate with a team of 7. Anthropic is a customer. And we have hundreds more across FAANG, frontier AI labs, healthcare, finance, government, and legal. Our tools, Chandra, Surya, Marker, and Lift, have 70,000+ GitHub stars and broad developer mindshare. We're backed by founding members of OpenAI, FAIR, and Hugging Face. Role Overview We're looking for an engineering lead to guide our team while staying hands-on in the code. You'll set the technical direction and standards for how we build the interfaces, tools, and infrastructure behind our OCR, extraction, and document-understanding systems. This includes everything from optimizing agent loops and interfaces to helping to speed up inference. This is a player-coach role. You'll manage and grow a team of three engineers, own engineering delivery and quality, and spend a large share of your time writing code - focused on architecture, infrastructure, and the hard problems rather than routine feature work. You’ll partner closely with the research team to define the handoff between experimentation and production. As a small and fast-moving team, roles are fluid and ownership is high. You'll work directly with the founder to set priorities, ship features, and make our technology accessible to a global community of builders. Day to day, you will: Manage and grow a team of three engineers - 1:1s, prioritization, feedback, and hiring as we scale. Own engineering delivery, quality, and technical standards across code, testing, infrastructure, and deployment. Stay hands-on (~40–50% of your time), contributing architecture, infrastructure, and code review across our open-source repos, API, and internal tooling. Contribute to the research-to-production interface: set standards for turning research prototypes into reliable systems. Partner with the research team to align on what's ready to productionize and how. Help set engineering priorities and the roadmap alongside the founder. Ideal Candidate You've led a small engineering team while also shipping features. You're energized by both growing engineers and solving hard technical problems yourself, and you know how to set standards that people actually adopt. You operate with autonomy and can navigate the ambiguity of an early-stage team where the research and engineering boundary is still being drawn. We're eager to work with someone who has: 7+ years of engineering experience, including 2+ years leading or mentoring engineers. A track record shipping and maintaining production systems serving high-volume traffic. Strong fullstack or backend depth, with the judgment to set architecture and technical standards. Experience building with LLMs and agentic workflows. Experience building in early-stage startup environments. Bonus points: Experience partnering closely with research or ML teams, or otherwise bridging research and production. Familiarity with document processing, computer vision, or OCR systems. Maintained or contributed to open-source projects with active communities. Interview process 30-minute video call to evaluate fit 1.5-hour in person meeting to build an architecture together Async code sharing + review phase (not a take-home project, you just share some code samples) Culture fit interviews with the team At this stage of the company, every interview is somewhat custom, so these phases may be rearranged slightly.

... Facility: SBS IS&T Global SA SA Qualification: Graduate Job Code: IJP567358 | Source: Sodexo India

... Facility: SBS IS&T Global SA SA Qualification: Graduate Job Code: IJP567143 | Source: Sodexo India

Metallization engineering lead — Tainan, Taiwan. Apply via Workday.

HBM Design Engineering Lead - MTS/SMTS/DMTS — Richardson, TX. Apply via Workday.

The Datadog for Startups (DDFS) program helps the next generation of fast-scaling companies adopt best-in-class observability and security from day one. We're looking for the technical engine of this program - someone who can sit across from a startup CTO, earn credibility in the first five minutes, and help them see how Datadog fits into their stack before they've even finished describing it. You'll be the first technical member on a lean, five-person team, owning the technical motion end-to-end: discovery calls, demos, startup enablement, forward-deployed engineering projects, and representing Datadog at founder events across San Francisco. This isn't a traditional SE seat - it's part solutions architect, part technical consultant, part startup evangelist, and it requires someone adaptable, proactive, and ready to take initiative without being told what to do next. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Run discovery calls with startup CTOs and engineering leads to identify quick wins, validate technical needs, and position Datadog against alternatives like Grafana, New Relic, Sentry, and Clickhouse Deliver tailored Datadog demos and help startups get instrumented quickly - removing friction, showcasing value, and ensuring smooth technical onboarding, particularly around AI/ML observability, infrastructure scaling, and security Build automation to improve internal team workflows - EX: outreach, reporting, the application process, and website updates Represent Datadog for Startups at accelerator demo days, hackathons, conferences, founder dinners, and workshops across San Francisco Build relationships across SF's startup ecosystem - founders, VCs, accelerator partners, and technical communities - and develop thought leadership content for technical founder audiences Who You Are: 5-7+ years in solutions architecture, pre-sales engineering, technical consulting, or a similar customer-facing technical role at a SaaS or cloud company, with broad fluency across cloud infrastructure, containers, Kubernetes, CI/CD, and modern application frameworks A tinkerer with genuine, personal interest in AI and emerging technologies - you've used tools like Claude, ChatGPT, Codex, or Cursor outside of work and follow what's happening with agentic workflows, vibe coding, and codegen because you find it interesting Consultative mindset - you do the overview first, then go deep. You identify customer needs and quick wins in a first conversation, not just recite product features Strong presence and communication skills - you can command a room of technical founders, run a compelling demo, and hold your own in an unscripted conversation with a CTO Adaptable and flexible - comfortable shifting between contexts, priorities, and audiences quickly, and thrive in ambiguity on a small, lean team Based in San Francisco and actively engaged in the local tech/startup community, with startup experience (founded a company, early-stage engineer, or consulting/advisory to founders) strongly preferred Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intradepartmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds (Datadog Affinity Slacks) Access to Inclusion Talks with a focus on Diversity, Equity, and Inclusion Free, global mental health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $200,000 — $250,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines .

Datadog's Forward Deployed Engineering function is in an active growth phase, and the FDE Lead will play a central role in shaping what comes next. Working in close partnership with the Head of Datadog for Startups and Forward Deployed Engineers, and the existing FDE team, you will help define and expand the FDE framework, build out the structures and processes that allow the team to operate at scale, and extend the program's reach well beyond any single customer segment. This role sits at the rare intersection of sales, execution, program design, and hands-on engineering leadership. You are part field technical leader, part program architect, and part cross-functional connector. You will help determine what the FDE motion looks like at Datadog, contribute to its playbook, and push the boundaries of what the team can deliver. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Evolve and scale the FDE operating model end to end: engagement intake, scoping, sprint delivery, handoff back to account teams, and the success metrics (time-to-value, adoption lift, ARR influence, NPS) and reporting infrastructure that support them. Build out a catalog of FDE offerings spanning observability quickstarts, custom integration development, LLM/AI observability accelerators, CI/CD pipeline instrumentation, and cost optimization deep dives, and contribute to their pricing and business models, including free-to-paid conversion plays, paid deployment packages, and post-deployment success motions. Capture product and feature gaps uncovered during deployments, translate them into structured prioritized briefs, and partner with PM and Engineering to strengthen the field-feedback channel that informs roadmap decisions on a regular cadence. Hire, onboard, and develop full-time FDEs, manage a rotating cohort of SWE and TSE secondments, build technical assessment frameworks suited to the customer-embedded nature of the role, and coach the team on engagement, scoping, stakeholder communication, and Datadog platform depth. Identify high-value mini-product opportunities (integrations, dashboards, automation scripts, open-source tooling), drive lightweight engineering sprints that convert recurring customer needs into reusable assets, and maintain a prioritized build backlog informed by deployment learnings and competitive intelligence. Help drive lightweight engineering sprints to convert recurring customer needs into reusable assets that scale across the FDE portfolio. Partner with Sales, Solutions Engineering, Customer Success, and Business Development to identify which accounts enter the FDE motion, represent the function in QBRs and executive business reviews, and serve as a trusted advisor through complex deployment cycles. Who You Are: Have 8+ years of experience in forward deployed engineering, solutions architecture, software engineering, or related technical fields, including at least 3 years in a customer-facing technical role. Have 2+ years of engineering management or technical leadership experience, including hiring, coaching, performance management, and cross-functional collaboration. Have contributed to or scaled a technical program, practice, or new function within a high-growth technology company, with a track record of influencing product roadmaps through structured field feedback. Bring deep familiarity with modern cloud-native stacks (Kubernetes, AWS/GCP/Azure, microservices, CI/CD pipelines, infrastructure-as-code) and hands-on experience with observability, monitoring, APM, or logging platforms; Datadog experience is a strong plus. Communicate exceptionally across audiences from engineering leads and CTOs to VP-level executives, bring strong commercial instinct for how technical decisions translate to ARR, churn risk, and expansion, navigate large matrixed organizations without direct authority, and are comfortable with significant travel to embed with customers. Entrepreneurial mindset, thrive in evolving environments, demonstrate strong business acumen, navigate matrixed organizations without direct authority, and are willing to travel to support customer engagements. Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply. Benefits and Growth: Shape and scale a rapidly growing strategic function with significant influence on its operating model and future direction. Partner directly with leadership across Engineering, Product, Sales, Customer Success, and Business Development. Influence customer outcomes while helping inform Datadog's product roadmap through structured field feedback. Work with a diverse portfolio of technically sophisticated organizations solving complex observability challenges. Develop expertise across cloud infrastructure, platform engineering, AI observability, deployment strategy, and customer-facing technical leadership. Gain visibility through participation in executive reviews, planning cycles, and cross-functional initiatives across the business. Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. To conform to US export control regulations, candidates should be eligible for any required authorizations from the US government. This job is available in various departments within our company; to conform to US export control regulations, some of these roles may require candidates to be eligible for any required authorizations from the US government. #LI-Hybrid Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $200,000 — $250,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines .

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity Postman is seeking an experienced AI Systems Reliability Engineer to help define, build, and maintain the infrastructure and processes that ensure the reliability, scalability, and performance of Postman’s AI-powered API and agentic systems in production. This role focuses on monitoring, availability, incident response, and automation to support AI services and tools trusted by millions of developers globally. What You’ll Do Develop and manage reliability metrics (SLOs) for AI-driven API services and agentic AI platform features Implement comprehensive observability and monitoring systems for real-time performance and fault detection Design and drive automated failover, recovery, and incident response strategies for high-availability AI infrastructure Optimize resource utilization, particularly GPU/accelerator efficiency, ensuring cost-effective AI system operation Collaborate closely with engineering, platform, and product teams to align reliability efforts with broader organizational goals Lead efforts to build internal tooling and automation focused on AI system stability and operational excellence Drive continuous improvement in deployment practices, monitoring approaches, and incident management processes About You Have a strong background in AI reliability engineering, SRE, or DevOps for distributed systems Understand the unique challenges of maintaining large-scale AI systems and integrating AI-specific metrics into reliability frameworks Are experienced with cloud platforms, monitoring tools, and incident response automation Are comfortable collaborating across teams to influence best practices for AI system reliability and operational health Thrive in dynamic, fast-paced environments focusing on delivering reliable, safe AI-powered services Bonus Skills and Experiences Hands-on experience with AI/ML infrastructure, including GPU/xPU optimization and scaling Familiarity with API platform operations and large-scale distributed services Prior experience building or operating observability tools tailored for AI and agentic systems Contribution to open-source projects or reliability engineering thought leadership The reasonably estimated base salary for this role ranges from $256,000 to $276,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. What Else? In addition to Postman's pay-on-performance philosophy, and a flexible schedule working with a fun, collaborative team, Postman offers a comprehensive set of benefits, including full medical coverage, flexible PTO, wellness reimbursement, and a monthly lunch stipend. Along with that, our wellness programs will help you stay in the best of your physical and mental health. Our frequent and fascinating team-building events will keep you connected, while our donation-matching program can support the causes you care about. We’re building a long-term company with an inclusive culture where everyone can be the best version of themselves. At Postman we value in person collaboration. We are in office 5 days a week for all roles based out of our hubs in San Francisco Bay Area, Boston, Austin, New York City, Tokyo and London. For roles based in Bangalore, employees currently work in the office three days a week and will transition to five days per week by the end of the year. We were thoughtful in our approach which is based on collaboration and grounded in feedback from our workforce, leadership team, and peers. The benefits of our in office model will be shared knowledge, brainstorming sessions, communication, and building trust in-person that cannot be replicated via zoom. Our Values At Postman, we create with the same curiosity that we see in our users. We value transparency and honest communication about not only successes, but also failures. In our work, we focus on specific goals that add up to a larger vision. Our inclusive work culture ensures that everyone is valued equally as important pieces of our final product. We are dedicated to delivering the best products we can. Equal opportunity Postman is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Postman does not accept unsolicited headhunter and agency resumes. Postman will not pay fees to any third-party agency or company that does not have a signed agreement with Postman.

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. The Role We are looking for an Engineering Leader to manage and scale multiple product lines in the Voice, BPO, and Workforce Management space. This is a high-impact leadership role that sits at the intersection of real-time voice systems, operations research, and data-intensive platform engineering. You will report directly to the Head of Engineering and own the engineering organization that builds the infrastructure powering Ema’s Voice AI Employees, Agent QA, auto-learning pipelines, rich analytics, and workforce optimization capabilities — all operating as scalable, multi-tenant systems deployed across global geographies. You will collaborate with Product, ML/AI, and Go-to-Market teams to translate customer needs into production systems that handle high volumes of voice data, deliver real-time insights, and continuously improve through automated learning loops. As the owner of multiple product lines, you will balance roadmap priorities across Voice, BPO operations, and WFM (work force management) — ensuring each product evolves cohesively while meeting distinct customer needs. What You Will Do Scalable Multi-Tenant Systems Architect and build multi-tenant systems that serve enterprise customers across geographies with strict data residency, isolation, and compliance requirements. Design high-throughput ingestion systems capable of processing large volumes of voice data, call metadata, and operational telemetry in near real-time. Make foundational architectural decisions on data stores, stream processing, and storage tiers — balancing query performance, cost, and operational simplicity. Champion SOLID principles, clean architecture, and engineering rigor across all codebases — ensuring systems are testable, extensible, and maintainable at scale. Team Building & Engineering Culture Recruit, hire, and develop senior engineers across a multi-disciplinary function spanning voice engineering, backend systems, data engineering, and applied operations research. Establish engineering standards, code review culture, and a strong bias toward shipping — with equal commitment to system reliability and customer experience. Coach and grow senior/staff engineers into technical leaders; manage engineering managers as the organization scales. Drive cross-functional alignment with Product, ML/AI, and Go-to-Market teams to ensure the platform evolves in lockstep with customer needs and market feedback. Voice Platform & Agent QA Own the end-to-end engineering for Ema’s AgentQA capabilities — real-time voice pipelines, telephony integrations, and voice-to-action workflows. Build and scale the Agent QA platform: automated call scoring, compliance monitoring, sentiment analysis, and coaching feedback loops. Design auto-learning systems that continuously improve voice agents from production interactions — closed-loop feedback, model retraining triggers, and quality regression detection. Deliver rich voice analytics: call volume trends, handle time distributions, first-call resolution metrics, agent performance dashboards, and anomaly detection. Build scalable voice pipeline across geographies – keeping in mind PII, security and compliance requirements. Workforce Management & Operations Research Build WFM capabilities including demand forecasting, shift scheduling, real-time adherence monitoring, and capacity planning — applying operations research techniques to optimize workforce utilization. Design and implement optimization algorithms for headcount modeling, skill-based routing, and workload balancing across multi-site, multi-timezone contact center operations. Partner with ML/AI teams to integrate predictive models for call volume forecasting, attrition risk, and staffing efficiency. What We Look For Required 12+ years of software engineering experience, with 4+ years leading engineering teams of 8+ engineers at high-growth startups or top-tier tech companies. Deep expertise in building real-time, data-intensive systems. Strong foundation in data stores and storage systems: relational databases, time-series stores, columnar analytics engines, and caching layers — with the judgment to choose the right tool for the workload. Experience building quality software using AI-driven tools and workflows. Track record of taking products from 0→1 and iterating rapidly based on customer feedback. Hands-on proficiency with SOLID principles, clean architecture, and design patterns — you write and review production code and lead by example on system design. Experience building scalable multi-tenant SaaS platforms with data isolation, geo-distributed deployments, and compliance requirements (SOC 2, GDPR, HIPAA). Track record of building ingestion systems for high volumes of load — event-driven architectures, stream processing (Kafka, Flink, or equivalent), and batch/real-time hybrid pipelines. Strong product sense: ability to deeply understand customer problems in contact center, voice, and workforce domains and translate them into clean technical solutions. Proven ability to hire, develop, and retain high-caliber engineers across multiple disciplines in competitive markets. Good to have Experience in voice/telephony systems: WebRTC, SIP, voice-over-IP infrastructure, or contact center platforms. Background in operations research or optimization: scheduling algorithms, linear/integer programming, constraint satisfaction, or demand forecasting models. Experience building analytics platforms: OLAP systems, real-time dashboards, metric computation engines, or BI infrastructure. Prior work on auto-learning or continuous improvement systems: feedback loops from production data, automated retraining pipelines, or quality monitoring systems. Experience with AI/ML-powered products in enterprise settings — agentic automation, LLM orchestration, or AI-driven UX. Familiarity with WFM or contact center operations — staffing models, Erlang-based capacity planning, or real-time adherence systems. Why Ema Build at the intersection of Voice AI, operations research, and enterprise-scale systems — a rare combination of deeply technical challenges with direct customer impact. Shape the engineering foundation of a category-defining AI platform — your architectural decisions will power how the world’s largest enterprises run their voice and workforce operations. High-impact, high-visibility role with direct access to the Head of Engineering, co-founders, and enterprise customers. A team of exceptional engineers from Google, Meta, Microsoft Research, and top CS programs worldwide. Competitive compensation, meaningful equity, and the opportunity to build something that matters. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who are you? We are seeking an experienced Enterprise Software Engineer to join the Ema team. As an Enterprise Software Engineer, you will be responsible for designing, developing, and maintaining our enterprise software applications. You will work with a cross-functional team of product managers, designers, and developers to deliver high-quality software solutions that meet the needs of our enterprise clients. The ideal candidate has experience building products across the stack and a firm understanding of web frameworks, APIs, databases, and multiple back-end languages. Most importantly, you are excited to be part of a mission-oriented, fast-paced, high-growth startup that can create a lasting impact. You will: Develop and maintain enterprise software applications, including API, data, application, and service development Write clean, efficient, and maintainable code by employing test-driven development process. Build scalable and reliable back-end systems using languages like Go and Python Develop and maintain APIs using REST or GraphQL Integrate multiple enterprise applications and services using a scalable framework like FastAPI Build and maintain data schema using PostgreSQL, Redshift etc. Contribute to front-end interfaces using HTML, CSS, and JavaScript frameworks such as React or Angular Ensure that applications are secure and adhere to industry best practices Continuously improve software development processes and practices Ideally, you'd have: Bachelor's degree in Computer Science or related field. At least 4 years of relevant work experience. Solid background in algorithms, data structures, and object-oriented programming Experience in back-end development using languages like Python and Go Knowledge of database technologies like PostgreSQL, Elastic, Redis. Knowledge of designing and building API platforms and integration systems. Experience with cloud technologies like GCP, AWS and Azure Experience with containerization technologies like Docker and Kubernetes Experience with integrating multiple enterprise applications, including frameworks and authentication. Understanding of security best practices and protocols for enterprise software applications Experience deploying software in multi-tenant SaaS environments. Knowledge of front-end technologies such as HTML, CSS, JavaScript, and front-end frameworks like React or Angular Strong problem-solving skills and attention to detail Ability to work independently and as part of a team Experience working with global teams For California based candidates: The standard base salary for this position is $135,000-$300,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who you are We're looking for an innovative and passionate Machine Learning Engineers to join our team. You are someone who loves solving complex problems, enjoys the challenges of working with huge data sets, and has a knack for turning theoretical concepts into practical, scalable solutions. You are a strong team player but also thrive in autonomous environments where your ideas can make a significant impact. You love utilizing machine learning techniques to push the boundaries of what is possible within the realm of Natural Language Processing, Information Retrieval and related Machine Learning technologies. Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact. You will: Conceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog and code-generation systems. Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our AI systems. Lead the processing and analysis of large, complex datasets (structured, semi-structured, and unstructured), and use your findings to inform the development of our models. Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment. Implement A/B testing and other statistical methods to validate the effectiveness of models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes. Clearly communicate the technical workings and benefits of ML models to both technical and non-technical stakeholders, facilitating understanding and adoption. Ideally, you'd have: A Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field. Proven industry experience in building and deploying production-level machine learning models. Deep understanding and practical experience with NLP techniques and frameworks, including training and inference of large language models. Deep understanding of any of retrieval, ranking, reinforcement learning, and agent-based systems and experience in how to build them for large systems. Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch. Excellent skills in data processing (SQL, ETL, data warehousing) and experience working with large-scale data systems. Experience with machine learning model lifecycle management tools, and an understanding of MLOps principles and best practices. Familiarity with cloud platforms like GCP or Azure. Familiarity with the latest industry and academic trends in machine learning and AI, and the ability to apply this knowledge to practical projects. Good understanding of software development principles, data structures, and algorithms. Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. The ability to work collaboratively in an extremely fast-paced, startup environment. For California based candidates: The standard base salary for this position is $200,000-$270,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role Productions is the 'done for you' managed services wing of ElevenLabs made for creators and media businesses. We bring together our AI audio tools and human experts to unlock human-edited dubs, audiobooks, and more in 15+ languages directly on the ElevenLabs platform. Here are a few recent projects Productions has helped bring to life: Dubbing for some of the world's biggest creators (DudePerfect, Lex Fridman, Andrew Huberman), media businesses (Headspace) and broadcasters (Mediaset) Audiobook production for leading publishers and digital storytelling platforms Voice creation, sound design, and other audio engineering services for ElevenLabs' largest customers You can learn more about Productions here: https://elevenlabs.io/productions As an Audio Engineering Lead, you will: Lead a team of talented Audio Engineers Create, refine, and iterate on custom voices for ElevenLabs customer using different techniques Clean, edit, and prepare customer audio to ensure optimal cloning and generation quality Provide hands-on training and technical guidance on ElevenLabs tools and best practices Join customer calls, support creative direction, and act as a fractional audio engineer for their workflows Requirements 10+ years experience in audio engineering, sound design, mixing/mastering, or related fields Experience working directly with clients, creative teams, or technical stakeholders Strong proficiency with DAWs (e.g., Pro Tools, Reaper, Logic, Ableton) Deep intuition for voice characteristics, timbre, clarity, and performance nuance Ability to translate ambiguous customer needs into clear audio and voice-design solutions Location This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.