Manager, Software Engineering (L4)

Twilio

Who we are  At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! . See yourself at Twilio Join the team as Twilio’s next Staff Machine Learning Engineer. ABOUT THE JOB This position is needed to scope, design, and deploy machine learning systems into the real world, the individual will closely partner with Product & Engineering teams to execute the roadmap for Twilio’s AI/ML products and services. You will understand customers need, build data products that works at a global scale and own end-to-end execution of large scale ML solutions.  To thrive in this role, you must have a deep background in ML engineering, and a consistent track record of solving data & machine-learning problems at scale. You are a self-starter, embody a growth attitude, and collaborate effectively across organizations. RESPONSIBILITIES In this role, you’ll: * Build and maintain scalable machine learning solutions in production * Train and validate both deep learning-based and statistical-based models considering use-case, complexity, performance, and robustness * Demonstrate end-to-end understanding of applications and develop a deep understanding of the “why” behind our models & systems * Partner with product managers, tech leads, and stakeholders to analyze business problems, clarify requirements and define the scope of the systems needed * Work closely with data platform teams to build robust scalable batch and realtime data pipelines * Collaborate with software engineers, build tools to enhance productivity and to ship and maintain ML models * Drive high engineering standards on the team through mentoring and knowledge sharing * Uphold engineering best practices around code reviews, automated testing and monitoring QUALIFICATIONS  Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! REQUIRED: * 7+ years of applied ML experience with proficiency in Python * Strong background in the foundations of Machine Learning and building blocks of modern Deep Learning * Track record of building, shipping and maintaining Machine Learning models in production in an ambiguous and fast paced environment. * Track record of designing and architecting large scale experiments and analysis to inform product roadmap. * You have a clear understanding of frameworks like - PyTorch, TensorFlow, or Keras, why and how these frameworks do what they do * Familiarity with ML Ops concepts related to testing and maintaining models in production such as testing, retraining, and monitoring. * Demonstrated ability to ramp up, understand, and operate effectively in new application / business domains. * You’ve explored modern data storage, messaging, and processing tools (Kafka, Apache Spark, Hadoop, Presto, DynamoDB etc.) and demonstrated experience designing and coding in big-data components such as DynamoDB or similar * Experience working in an agile team environment with changing priorities * Experience of working on AWS Desired: * Experience with Large Language Models LOCATION This role will be remote, and based in India TRAVEL We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. WHAT WE OFFER Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Coinbase

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. The CXAI Engineering team sits within Coinbase’s Consumer Engagement and Experience (CEE) organization and is reimagining crypto support through generative AI. We build systems that help customers get fast, accurate, and secure resolutions by combining intelligent orchestration, trusted context retrieval, and action across blockchain and app surfaces. We’re hiring an Engineering Manager to lead development of our AI-powered Automated Resolution platform. You will guide a team building across internal LLM-based agents and key third-party integrations, shaping the intelligence layer that understands complex issues, retrieves the right context, and takes meaningful action. What you'll do: * Drive the roadmap for our conversational AI platform, advancing from decision trees to LLM reasoning, RAG, and agentic workflows. * Lead integration of third-party AI solutions while scaling in-house LLM infrastructure for high-stakes crypto support. * Build evaluation frameworks and feedback loops to improve model accuracy, grounding, compliance, and customer outcomes. * Enable secure agent actions for workflows such as transaction troubleshooting and account recovery through internal APIs. * Define technical architecture across vector databases, prompt design, and context management to deliver personalized support. * Own operational excellence across reliability, latency, token cost, and fallback paths to human agents.   Required Skills and Experience:  * 8+ years of software engineering experience, including 2+ years leading high-performing teams. * Experience shipping products powered by large language models, with strong understanding of prompt engineering, fine-tuning, and the model provider landscape. * Experience building RAG pipelines and managing the data lifecycle needed to ground AI in real-time knowledge. * Strong systems and platform background, including scalable distributed systems in high-traffic production environments. * Experience designing quantitative AI evaluation frameworks to measure hallucination rates, accuracy, and customer sentiment. * Deep understanding of AI safety and guardrails, including preventing PII leakage and unsafe financial outputs. * Familiarity with vector databases such as Pinecone, Weaviate, or Milvus, and orchestration frameworks such as LangChain or LlamaIndex. * Proficiency in Golang and experience with modern cloud-native infrastructure such as AWS and Kubernetes. * Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality   Job ID - P75782 Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision). Annual base salary range (excluding equity and bonus): ₹9,424,500—₹9,424,500 INR * Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. * Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. 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 genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. * US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation. * Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial. * Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.

Twilio

Who we are  At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! . See yourself at Twilio Join the team as our next Senior Engineering Manager , Twilio’s Segment team. About the job As a Senior Engineering Manager on the Twilio Segment Data platform/ pipelines team, you’ll build and scale systems that process several hundred thousands of data points per second. You will lead the development of high-scale ingestion and data processing systems You'll guide the team in designing, operating and maintaining complex distributed systems, ensuring reliability, performance, and cost-efficiency while querying petabytes of data for our customer data platform (CDP). Responsibilities In this role, you’ll: * Own and deliver robust, high-scale routing experiences for Data platforms & pipelines for Twilio Segment. * Champion team growth and success, prioritizing mentorship and individual development. * Architect and operate always-available, complex distributed systems in cloud environments. * Guide technical decisions, articulating trade-offs between cost, performance, and reliability. * Advocate for agile processes, continuous integration, and robust automation. * Translate complex technical strategies into actionable plans for diverse stakeholders, including Product Managers and Architects. Qualifications  Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: * 14+ years of engineering experience with a 5+ year proven track record managing software teams. * Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. * Proven experience managing multiple workstreams within the team. * Demonstrated commitment to driving an AI-centric engineering mindset and providing mentorship on leveraging AI-enabled development platforms. * Technical depth in distributed systems, high-scale ingestion, and cloud-native architecture. * Hands-on experience with high-scale messaging/streaming systems and processing engines (several thousand events/sec).  * Excellent communication, problem-solving, and operational excellence skills. Desired: * Demonstrated experience identifying, prototyping, and deploying GenAI/LLM solutions to solve real-world engineering or data processing challenges. * Expert programming experience in Go or similar object-oriented languages. * Proficiency with datastores, distributed caching, and container technologies (Docker/Kubernetes).  * Experience with modern CI/CD pipelines and observability tools (Datadog, Grafana, Prometheus). * Familiarity with AI/ML technologies. * Experience managing and operating AWS infrastructure * Experience working in a geographically distributed team.  Location  This role will be remote, and based in India (only in Karnataka, Tamil Nadu, Telangana, Maharashtra, Delhi). Travel  We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.