Technical Program Manager Infrastructure Jobs

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a Site Reliability Operations Analyst you are the engine behind Palantir deployments. You are responsible for crafting, implementing and executing processes to streamline workflows and reduce friction. You track and stabilise projects, remove roadblocks, and anticipate customer needs to free up our engineers to focus their time and attention on the technical problems they are best equipped to solve. This position requires a combination of project management, process optimisation, and execution skills. You are a person who loves fixing problems and always embraces the best idea, even when it is not your own. Core Responsibilities Work on many different types of problems and challenges. You might be supporting a deployment at a large, global customer one day, and jetting off across the world to help out with a new pilot project the next. Be the first responders when things go wrong. Even if a problem is outside your area of expertise, you make the first move to fix it, and only ask for help when we’ve exhausted all that we can possibly do. Craft and implement process to reduce friction and enable all team members to spend their time on what they do best. Think creatively, work collaboratively, and do whatever it takes to get the job done. What We Value Extraordinary judgment and composure in high-pressure situations. A creative approach to project management centered around lightweight frameworks that enable rapid iteration and low-overhead methods of keeping our customers informed. Proven track record of developing effective and collaborative relationships with customers. Meticulous att

As a Mid-Market Account Executive on our Commercial Sales team, you will assist in Datadog’s overall business growth by strategically engaging and closing net-new customers across mid-to-large size markets. Sellers follow a well-defined methodology, collaborate with internal stakeholders, identify the customer's unique needs, and clearly convey the value of the Datadog product. Mid-Market reps have the opportunity to grow their careers in Sales and continue contributing to Datadog team success. 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: Focus entirely on net-new logo acquisition Convert inbound leads to closed opportunities Leverage tools such as Sales Navigator and DiscoverOrg Strategically prospect into Chief Technology Officers, Engineering/IT Leaders, and technical end users Collaborate with Sales Development Representatives to drive top of funnel activity Manage the full sales cycle, including negotiations and on-site technical demonstrations 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 experience, we encourage you to apply. Who You Are: Experienced in hunting and closing net new logos Able to strategically map out and break into accounts Curious, motivated, and driven as a sales person Bold on the phones and creative in your emails Able to sit up to 6 hours, traveling to and from client sites via auto, train, or air, up to 50% of the time Benefits and Growth: High income earning opportunities based on self performance Opportunity for Presidents Club New hire stock equity (RSU) and employee stock purchase plan (ESPP) Continuous professional development, product training, and ca

About the Team Our Data Science team is the Avengers to Meesho’s S.H.I.E.L.D 🛡️. And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. We’ve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat. About the Role As a Principal Data Scientist in our AdTech team, you’ll drive innovation in our advertising platform using advanced machine learning and statistical methods. You’ll tackle complex problems in real-time bidding, ad ranking optimization, budget efficiency, and performance measurement that directly impact our business’s bottom line. This role requires technical excellence and business acumen and you’ll collaborate with cross-functional teams to transform data insights into actionable strategies that enhance our advertising ecosystem. What you will do Design and develop sophisticated bidding, budget pacing and other algorithms that optimize ad spend or ROI. Create frameworks and experimental design to measure ad effectiveness and ROI. Collaborate with product and engineering teams to translate business requirements into efficient AI/ML solutions. Communicate long-term roadmap, insights and recommendations to tech and business leadership. Mentor junior data scientists and provide technical guidance. Lead research initiatives in machine learning, auction theory and advertising technology. What you will need B.Tech in Computer Science, Machine Learning, or a related field with at least 6+ years of experience in AI/ML research. Experience in auction theory, predictive modelling, causal inference, and reinforcement learning. Expertise in PyTorch or TensorFlow, and proficiency in Python as we

Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. As a Corporate Account Executive , you’ll play a key role in scaling our go-to-market motion by owning and closing complex SaaS deals with companies ranging from 300-2,500 employees. You’ll take a proactive, outbound-driven approach to building pipeline, identifying and engaging high-potential accounts, and running the full sales cycle from first touch through close. Success in this role requires strong prospecting skills, disciplined discovery, and the ability to navigate multi-threaded buying groups across both technical and non-technical stakeholders, with a focus on $75k+ ACV opportunities. You’ll partner closely with Solutions Engineers and cross-functional teams to deliver thoughtful, value-based sales motions tailored to each customer’s needs. As we continue to scale the Corporate segment, you’ll help establish repeatable outbound best practices, influence how we engage this market, and make a meaningful impact on the growth of both the team and the business. About the role Location: Remote-first (United States, East Region; ON, Canada). Must reside in Central or Eastern Time Zones This role will require an in-person onboarding session in San Francisco, CA Full-time Permanent Exempt Our cash compensation amount for this role ranges depending on the cost of labor of the geographic area. The ranges shared below may change if you are hired in another geographic location. United States (all figures cited below in USD and pertain to workers in the United States) $195,000 - $230,000 Canada (All figures cited below in CAD and pertain to workers in ON, Canada) $225,500 -$265,000 For sales roles, the ranges provided are the role’

P-926 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. Databricks Mosaic AI offers a unique data-centric approach to building enterprise-quality, Machine Learning and Generative AI solutions, enabling organizations to securely and cost-effectively own and host ML and Generative AI models, augmented or trained with their enterprise data. And we're only getting started in Bengaluru , India - and currently in the process of setting up 14 new teams from scratch ! As a Senior Software Engineer at Databricks India, you can get to work across : - Backend - DDS (Distributed Data Systems) - Full Stack The impact you'll have: 1. Our Backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as: Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience. Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Apache Spark™, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage. 2. Ou

Point72 is seeking a Quantitative Developer to join its Portfolio Construction and Analysis (PCA) team within the CIO office. ROLE Point72 is seeking a Quantitative Developer to join its Portfolio Construction and Analysis (PCA) team within the CIO office. The PCA team plays a vital role in the Equity L/S business at the firm, collaborating with investment teams to improve net revenue and risk adjusted returns. The Quantitative Developer will build, refine, and maintain an efficient technology infrastructure to enable and support the team’s quantitative research and analytical efforts. The ideal candidate is a smart, self-driven, and creative problem solver with strong technical and quantitative skills. RESPONSIBILITIES Architect, build, refine, and increase automation and robustness of the research infrastructure, including data access, risk modeling, and backtesting components Collaborate with quant researchers to implement framework for automating and presenting analytics, reports, and monitors Collaborate with firm-wide technology teams to deliver analytics and tools to users across the firm DESIREABLE CANDIDATES Undergraduate, Masters, or PhD in Computer Science or other quantitative discipline 3+ years of professional experience developing infrastructure to support an investment team Strong programming skills in Python and SQL Solid background in math/statistics/finance and familiarity with quantitative research methodologies and machine learning algorithms Understanding of and experience with the data ingestion process Ability to contribute to the analytics, quant research, and development process Understanding of portfolio construction is a plus Knowledge of equities is a plus High-energy personality and the ability to manage multiple tasks and deadlines in a fast-paced environment High degree of drive – must be a self-starter Ability to recognize and seize opportunities Depth of skills enabling him/her to perform ad hoc projects and task

The Development Infrastructure team builds the infrastructure for the development platform our Asana engineers use every day. We build and operate the software that accelerates how Asana R&D delivers new products to our users. We combine industry best-practices and innovation to enable Asana to remain product-forward delivering a high-quality beloved experience for our users. You will focus on developing the team around you, helping them contribute more and grow as both engineers and individuals. You will channel your passion and enthusiasm as much into recruiting and building a team, as the technical challenges your team will be resolving. This role is based in our Reykjavik office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Manage and lead a team of 3-7 engineers, including a technical lead, with focus on impactful deliveries Define how the team evolves and interacts with the rest of Asana Recruit for and grow the team Lead the team to identify future opportunities to improve development velocity and the developer experience Influence the future of software development at Asana and guide the technical direction across the organization Collaborate with a world-class team of engineers to enable new development capabilities through infrastructure About you 3+ year of engineering management experience The rare mix of intelligence, empathy, integrity and technical skills that allow you to rapidly earn the trust of a technically astute team Focus on maximizing impact, for yourself and your team Ability to provide valuable input to any technical or product discussion Oriented around the multi-year consequences

Python / Django Developer (Backend) K12 Techno Services • Bengaluru, Karnataka • via Cutshort ₹15L–₹20L a year Full–time Job description Designation: Python/Django Developer (Backend) Department: Software Engineering Team Location: Whitefield (Bangalore) Qualification: Any Computer (Graduate or Post Graduate) Experience: 3+ years of relevant experience in building functional and efficient server-side applications using Python/Django with 2+ years of relevant experience in working with RDBMS. Responsibilities: • Help design and implement functional requirements • Build efficient back-end features in Python • Integrate front-end components into applications • Manage testing and bug fixes • Prepare technical documentation • Collaborate with UX/UI designers to implement design into the code • Coach junior team members • Implement software enhancements and suggest improvements Skills Required: • Experience with Python frameworks (e.g. Django, Flask, FastAPI) • Familiarity with Amazon Web Services (AWS) cloud technologies • Excellent understanding of REST API Development and HTTP Methods • Understanding of databases and SQL • Good experience in working with RDBMS • Good understanding of computer science fundamentals - data structures, algorithms, memory management, performance. • Knowledge of web stack - javascript, html, web frameworks like React.js is a plus • Good understanding of Good Troubleshooting experience and exposure • Ability to work with Jr engineers, mentor, guide and help them • Enjoys coding and problem solving • Good communication skills. Ability to express ideas clearly and concisely • Familiarity with code versioning tools (such as Git, SVN, and Mercurial) Salary: Upto 21LPA (Negotiable) IMMEDIATE JOINING PREFERRED!

Python / Django Developer (Backend) K12 Techno Services • Bengaluru, Karnataka • via Cutshort ₹15L–₹20L a year Full–time Job description Designation: Python/Django Developer (Backend) Department: Software Engineering Team Location: Whitefield (Bangalore) Qualification: Any Computer (Graduate or Post Graduate) Experience: 3+ years of relevant experience in building functional and efficient server-side applications using Python/Django with 2+ years of relevant experience in working with RDBMS. Responsibilities: • Help design and implement functional requirements • Build efficient back-end features in Python • Integrate front-end components into applications • Manage testing and bug fixes • Prepare technical documentation • Collaborate with UX/UI designers to implement design into the code • Coach junior team members • Implement software enhancements and suggest improvements Skills Required: • Experience with Python frameworks (e.g. Django, Flask, FastAPI) • Familiarity with Amazon Web Services (AWS) cloud technologies • Excellent understanding of REST API Development and HTTP Methods • Understanding of databases and SQL • Good experience in working with RDBMS • Good understanding of computer science fundamentals - data structures, algorithms, memory management, performance. • Knowledge of web stack - javascript, html, web frameworks like React.js is a plus • Good understanding of Good Troubleshooting experience and exposure • Ability to work with Jr engineers, mentor, guide and help them • Enjoys coding and problem solving • Good communication skills. Ability to express ideas clearly and concisely • Familiarity with code versioning tools (such as Git, SVN, and Mercurial) Salary: Upto 21LPA (Negotiable) IMMEDIATE JOINING PREFERRED!

About PayPay India PayPay, a fintech company providing a service enjoyed by over 75 million users since its launch in 2018 in Japan. The company is now home to a very diverse team of members from more than 50 countries. We grew to a team of several thousand employees in Japan but are far from over. We are still in the Day 1. Every day, new members join us from all over the world to create new value and deliver it to society. Why India ? To build our Payment services, we got technical cooperation from Paytm (A large payment service company in India). And based on their customer-first technologies , we created and expanded the smartphone payment service in Japan. Therefore, we have decided to establish a development base in India, because it is a major IT country with many talented engineers, as evidenced by the fact that cutting-edge mobile payments can continue to be generated. OUR VISION IS UNLIMITED We dare to believe that we do not need a clear vision to create a future beyond our imagination. PayPay will always stay true to our roots and realise a vision (future) that no one else can imagine by constantly taking risks and challenging ourselves. With this mindset, you will be presented with new and exciting opportunities on a daily basis and have the opportunity to grow and reach new dimensions that you could never have imagined. Job Description PayPay India is looking for a Data Engineer to work on our payment system to deliver the best payment experience for our customers. This platform is vital to support our increasing business demands. The Data Pipeline team is tasked with creating, deploying, and managing this platform, utilizing leading technologies like Databricks, Delta Lake, Spark, PySpark, Scala, and the AWS suite. We are actively seeking skilled Data Engineers to join our team and contribute to scaling our platform across the organization. Main Responsibilities Create and manage robust data

InvGate is a fast growing SaaS company that develops products for IT management and service automation, used by clients in over 60 countries in industries such as banking, e-commerce, education and technology. To support our continuous growth we are looking for a bilingual Sales Engineer to join our team. This key customer-facing position is responsible for understanding our client's business processes and mapping these processes to our software solutions. You will advise potential clients on technical aspects during the sales process, as well as implement our products to ensure that customers get the most value from our offerings. Responsibilities: Delivering technical solutions to prospects or clients for ITSM & ITAM applications, including demos and proofs of concept, as well as production implementations. Validating the solutions offered to prospects, from both a technical and project planning point of view. Supporting Sales Representatives during the entire sales process, from request for information (RFI) and request for proposal (RFP), to contract negotiation and closing. Generating documents to make configuration easier including tips around implementation best practices. Interfacing between customers and our R&D teams to solve complex technical or product/implementation issues. Qualifications Do not hesitate in applying if you: Think analytically Hold or are working towards a degree in Engineering or Computer Science Have strong communication and negotiation skills Enjoy working with clients, have good energy, and are empathetic Have previous experience in software implementation, particularly ITSM or ITIL Are bilingual in English and Spanish Having previous experience using InvGate products is a big plus! We offer real opportunities for professional development, fully covered English classes, top-tier health insurance, Free bithday day and extended PTO. Our office is located in Paseo de la Reforma, Cu

About PayPay India PayPay, a fintech company providing a service enjoyed by over 75 million users since its launch in 2018 in Japan. The company is now home to a very diverse team of members from more than 50 countries. We grew to a team of several thousand employees in Japan but are far from over. We are still in the Day 1. Every day, new members join us from all over the world to create new value and deliver it to society. Why India ? To build our Payment services, we got technical cooperation from Paytm (A large payment service company in India). And based on their customer-first technologies , we created and expanded the smartphone payment service in Japan. Therefore, we have decided to establish a development base in India, because it is a major IT country with many talented engineers, as evidenced by the fact that cutting-edge mobile payments can continue to be generated. OUR VISION IS UNLIMITED We dare to believe that we do not need a clear vision to create a future beyond our imagination. PayPay will always stay true to our roots and realise a vision (future) that no one else can imagine by constantly taking risks and challenging ourselves. With this mindset, you will be presented with new and exciting opportunities on a daily basis and have the opportunity to grow and reach new dimensions that you could never have imagined. AI-First Culture at PayPay At PayPay, we believe the future of software development is AI-augmented engineering. Every engineer is expected to actively leverage AI tools for code reviews, testing, documentation, debugging, and productivity improvements. AI is not optional — it is a mandatory part of our daily engineering workflow. Candidates must demonstrate both hands-on experience and the right mindset to integrate AI effectively into their workflow, while maintaining the engineering rigor, ownership, and problem-solving skills that only humans can provide Job Description PayPay In

About the Team Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash. About the Role DoorDash is looking for a Senior Data Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs. This is a hybrid position and you must be located in Sunnyvale, San Francisco, or Seattle. You're excited about this opportunity because you will... Work with business partners and stakeholders to understand data requirements Work with engineering, product teams and 3rd parties to collect required data Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse Develop and implement data quality checks, conduct QA and implement monitoring routines Improve the reliability and scalability of our ETL processes Manage a portfolio of data products that deliver high-quality, trustworthy data Help onboard and support other engineers as they join the team We're excited about you because... 5+ years of professional experience 3+ years experience working in data engineering, business intelligence, or a similar role Proficiency in programming languages such as Python/Java 3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP Expert in Database fundamentals, SQL and distributed computing 3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink. Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms Excellent communication skills and experience working with technical and non-tec

About the Team Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and fi nancial reporting. Team serves as the foundation for decision-making at DoorDash. About the Role DoorDash is looking for a Sta ff Software Engineer,Data to be a technical lead and help architect and scale our data reliability, data infrastructure, automation and tools to meet growing business needs. You’re excited about this opportunity because you will... Own critical data systems that support multiple products/teams Develop, implement and enforce best practices for data infrastructure and automation Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse Improve the reliability and scalability of our Ingestion, data processing, ETLs, Reporting tools and data ecosystem services Manage a portfolio of data products that deliver high-quality, trustworthy data Help onboard and support other engineers as they join the team We’re excited about you because... 8+ years of professional experience as a hands-on engineer and technical leader leading multiple projects 6+ years experience working in data platform and data engineering or a similar role You have proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Pro fi ciency in programming languages such as Python/Kotlin/Scala 4+ years of experience in ETL orchestration and work fl ow management tools like Air fl ow Expert in database fundamentals, SQL, data reliability practices and distributed computing 4+ years of experience with the Distributed data/similar ecosystem (Spark, Presto) and streaming technologies such as Kaa/Flink/Spark Streaming Excellent communication skills and experience working

P-940 (Position Location is open to both our Seattle & Bellevue offices.) At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. As a software engineer with a backend focus, you will work closely with your team and product management to prioritize, design, implement, test, and operate micro-services for the Databricks platform and product. This implies, among others, writing software in Scala/Java, building data pipelines (Apache Spark, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform). Below are some example teams you can join: Data Science and Machine Learning Infrastructure: Build services and infrastructure