Opportunity Overview: We’re looking for a senior-level automation engineer who will help raise the bar on release quality, environment reliability, and change safety across Cohere’s platform. You’ll partner closely with Product, Engineering, Platform, and SRE to build scalable automation, guardrails, and validation systems that reduce production risk while increasing delivery velocity. This is not a “test scripts only” role. You’ll shape automation strategy, embed quality into the SDLC, and help define how changes move safely from dev → staging → UAT → prod in a fast-moving healthcare platform. You’ll help define how quality scales as Cohere grows. This role has real influence over release safety, platform reliability, and how engineering teams ship software in a regulated, high-impact domain. You won’t just test features — you’ll shape how Cohere delivers them safely to production. What you’ll do: Own and evolve Cohere’s end-to-end test automation strategy across UI, API, config changes, and critical workflows Design and maintain scalable E2E automation frameworks for multi-tenant, payer-specific workflows Build automated validation for deployment guardrails, release readiness, and production change safety Partner with Platform/DevOps to integrate automation into CI/CD pipelines and deployment workflows Create automated coverage for high-risk paths (authorization flows, partner integrations, file pipelines, feature flags, config changes) Drive test reliability, flake reduction, and actionable failure signals Define and enforce quality gates for prod releases, blue/green and canary deployments, and config changes Collaborate with Product and Engineering to ensure business outcomes are testable, measurable, and observable Improve test data management and environment stability to enable reliable automation at scale Mentor engineers on testability, automation best practices, and quality-first development Partner with SRE and Security to ensure production readines
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Sales Rep in India
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Opportunity Overview: We’re looking for a senior-level automation engineer who will help raise the bar on release quality, environment reliability, and change safety across Cohere’s platform. You’ll partner closely with Product, Engineering, Platform, and SRE to build scalable automation, guardrails, and validation systems that reduce production risk while increasing delivery velocity. This is not a “test scripts only” role. You’ll shape automation strategy, embed quality into the SDLC, and help define how changes move safely from dev → staging → UAT → prod in a fast-moving healthcare platform. You’ll help define how quality scales as Cohere grows. This role has real influence over release safety, platform reliability, and how engineering teams ship software in a regulated, high-impact domain. You won’t just test features — you’ll shape how Cohere delivers them safely to production. What you’ll do: Own and evolve Cohere’s end-to-end test automation strategy across UI, API, config changes, and critical workflows Design and maintain scalable E2E automation frameworks for multi-tenant, payer-specific workflows Build automated validation for deployment guardrails, release readiness, and production change safety Partner with Platform/DevOps to integrate automation into CI/CD pipelines and deployment workflows Create automated coverage for high-risk paths (authorization flows, partner integrations, file pipelines, feature flags, config changes) Drive test reliability, flake reduction, and actionable failure signals Define and enforce quality gates for prod releases, blue/green and canary deployments, and config changes Collaborate with Product and Engineering to ensure business outcomes are testable, measurable, and observable Improve test data management and environment stability to enable reliable automation at scale Mentor engineers on testability, automation best practices, and quality-first development Partner with SRE and Security to ensure production readines
About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role The Employee Lifecycle Associate owns the employee experience and communications across every stage of the employee lifecycle, including onboarding, benefits, leaves of absence, role changes, relocations, offboarding, and other key employee milestones. This role will also lean in on benefits and leaves operations alongside our Benefits Lead. In this role, you'll ensure employees have a seamless, well-supported experience by designing clear communication strategies, anticipating and resolving employee questions, and building scalable resources that help employees navigate change with confidence. You'll own employee-facing communications and documentation, continuously improve our knowledge base and AI-powered Help Desk guidance, and directly support employees by answering questions and executing lifecycle requests when needed. Beyond responding to issues, you'll identify trends and opportunities to proactively improve documentation, reduce friction, and create a more intuitive self-service experience. Your goal is to make lifecycle pro
About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role As a Payment Operations Specialist at Ramp, you will play a key role in supporting the day-to-day execution and efficiency of Ramp’s payment operations. You’ll partner closely with the Payments Operations Lead and cross-functional teams across Product, Finance, Customer Support, Risk, and Compliance to ensure smooth and accurate payment processing, issue resolution, and operational excellence. This is a hands-on role focused on coordination, execution, and continuous improvement. You’ll be responsible for helping to maintain accurate payment flows, supporting operational projects, and assisting with cross-functional initiatives that enhance Ramp’s payment systems and risk management processes. What You'll Do Support the Payments Operations Lead in the daily management of payment workflows, including ACH, wire transfers, card payments, and Ramp Business Account transactions. Monitor and reconcile payment activity, identify discrepancies, and help investigate or resolve transaction issues. Coordinate refund and money movement processes
About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role The Employee Lifecycle Analyst is a critical member of Ramp's People Operations team, responsible for the data workflows that power every employee's experience at Ramp. You'll be a trusted operational partner to our Comp, Finance, and HR teams, bringing structure and precision to cross-functional processes while building the documentation and systems that scale with the business. This is a role for someone who loves getting into the details, takes real pride in accuracy, and is excited to build — not just maintain — the processes that support every employee at Ramp. What You'll Do ~60%: Data Management Own end-to-end employee data changes in our HRIS and connected systems including internal moves, title changes, compensation updates, bulk uploads, complex exceptions. Ensuring accuracy and timeliness across every change. Establish and run data-audit, reconciliation, cleansing, and issue-resolution routines; identify root causes and drive durable fixes. Build scalable operating procedures and controls that improve data quality ahead of
About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role Ramp is building the financial operating system for modern businesses, and ERP integrations sit at the center of how we win and retain customers. Every major ERP is simultaneously a distribution channel and a product dependency. As Senior Manager of ERP Partnerships, you'll own Ramp's ERP relationship strategy end-to-end across the major incumbent platforms and the fast-growing AI-native ERPs reshaping the category. You'll work directly with senior leadership across Product, Engineering, Channel, and Finance to build the roadmap, establish co-sell motions, and turn ERP partnerships into a compounding commercial advantage. What You'll Do Own the commercial relationship with each priority ERP - deciding which to invest in deeply and which to stabilize, and building the case for each with internal leadership and the executive team Work with priority ERP partners on joint GTM and product work: co-sell motions, VAR channel activation, API partnerships, and embedded integration agreements Build the partnership pitch for each ERP and run exe
We’re looking for an enthu HR Intern to join the People team at Bolna.ai . This is a hands-on opportunity for someone who wants to learn how People Operations works in a fast-growing startup - from supporting employees to helping run day-to-day HR and office operations. What you’ll do Support employee onboarding, documentation, and HR operations . Maintain employee records and ensure HR data stays accurate and organised. Support employee queries and coordinate with internal teams and vendors. Facilitate office operations, events, employee engagement activities, and day-to-day administrative tasks effectively. Coordinate with employees and external vendors to ensure smooth execution of HR and office requirements. Support the People team with day-to-day operational requirements as the organisation scales. Who we’re looking for 0–1 year of experience in HR, People Operations, or a related internship. Prior HR internship experience is a plus. Strong communication and organisational skills. Detail-oriented and comfortable handling multiple tasks. Proactive, dependable, and willing to take ownership. Comfortable working in a fast-paced startup environment . Someone who genuinely enjoys working with people and wants to build a career in HR. Why this role? You’ll get hands-on exposure to People Operations, employee experience, office operations, and HR processes while working closely with a growing team. Learn fast. Take ownership. Work with great people. Location: Udyog Vihar 3, Gurugram Working Days: Monday–Friday
At Bolna, we’re building tools that change the way teams leverage Voice AI. We’re looking for a Founding Machine Learning Engineer to own the end-to-end lifecycle of building, evaluating, deploying, and improving models that power millions of production conversations. This is a high-impact, high ownership role where you won’t just work on Bolna’s ML stack—you’ll help build the foundation it scales on. Our team includes IIT alumni with experience at Bain, Atlassian, Uber, Zomato, and LinkedIn, and is backed by leading investors. Responsibilities: Build the data engine - Design pipelines to source and clean conversational voice data across Indian languages, accents, and telephony conditions. Fine-tune models that ship - Fine tune and train models to improve accuracy, speed, and reliability across different use-cases. Define what "good" means - Build evaluation datasets and benchmarks for transcription accuracy, voice naturalness, interruption handling, latency, and end-to-end conversation quality. Set up human-in-the-loop pipelines to capture subjective quality at scale. Ship to production - Work with the engineering team to deploy models into a latency-sensitive, high-volume system. Monitor performance in the wild, debug regressions, and iterate fast. Required Skills: 3+ years of hands-on ML experience with deep practical real-world experience in training models. Strong Python and PyTorch fundamentals with exposure in distributed training, and modern fine-tuning techniques (LoRA, QLoRA, DPO, RLHF, etc.). Training data as a first-class problem. Experience designing data pipelines from collection, cleaning, labeling, deduplication, augmentation and treating data quality as a core engineering discipline. Rigorous about evaluation. You know that "looks good in a demo" is not a benchmark. You build the evals before you trust the model. Speech model experience is a plus with real-time / streaming inference experience where you would have contributed to latency optimization
About the team The Applied team at OpenAI safely brings cutting-edge technology to the world. We have released groundbreaking products such as ChatGPT, Plugins, DALL·E, and APIs for GPT-4, GPT-3, embeddings, and fine-tuning. Our team also manages large-scale inference infrastructure. With much more on the horizon, our impact continues to grow. Our customers create fast-growing businesses using our APIs, enabling product features previously unimaginable. ChatGPT exemplifies the current scope of possibilities. We prioritize the responsible use of our powerful tools, valuing safe deployment over unchecked expansion. Within Applied Engineering, the Financial Engineering team ensures that our products are monetized effectively to accommodate customers' varying needs and scales. Collaborating closely with the GTM and Finance teams, we strive to tailor our billing stack to our evolving internal requirements. We seek an experienced engineer to architect and refine our billing systems, enhancing their functionality to meet the demands of our increasingly complex and expansive product offerings. In this role, you will: Architect and build the next generation of billing and monetization systems at OpenAI. Develop across the stack to create comprehensive billing integrations for our range of ChatGPT and API users. Design a versatile billing platform suitable for both subscription and usage-based offerings, ensuring scalability and enterprise readiness/flexibility. Construct and integrate tools that empower internal teams to seamlessly incorporate billing data into their workflows. Collaborate closely with a wide array of stakeholders, including the Product, Data, Finance, and Go-To-Market teams, as well as fellow engineers. You might thrive in this role if you: Possess a minimum of 5 years of professional software engineering experience, with added experience in payments, billing, or monetization seen as a bonus. Enjoy engaging with various partners, particularly those outside
About this Role OpenAI’s Finance organization is helping build the company and finance team of the future. Across Corporate Finance, Strategic Finance, Accounting, Tax, Treasury, Procurement, Real Estate & Workplace, Corporate Development, and Economic Research, teams are using OpenAI’s products to reshape core workflows, improve operating leverage, and surface practical lessons about how AI changes enterprise functions. As this work scales, Finance is becoming both a proving ground for real-world AI adoption and an increasingly important proof point for customers, and a feedback loop for Product, Research and Revenue teams. The opportunity is no longer just to capture isolated examples, but to turn them into a coherent program that strengthens OpenAI’s internal operations, informs product development, and helps the company explain what high-value enterprise AI adoption looks like in practice. The Visual Storytelling & AI Innovation Lead partners directly with the Chief of Staff to the CFO to turn Finance’s most important work into clear, visually compelling executive artifacts. This person will personally create CFO-facing presentations, board materials, executive briefings, customer-facing materials, and reusable design systems; shape the story architecture for high-stakes leadership and external moments; and establish the visual storytelling and presentation quality bar across Finance. The role will work closely with Global Affairs, Corporate Communications, Investor Relations, and Marketing to ensure this work supports broader messaging, audience, and channel strategies. The role will also turn Finance AI workflows into credible demos, proof points, and transformation stories; help Economic Research package and amplify its work; identify and elevate flagship use cases with Finance and Enterprise Platforms & Technology leaders; and develop content and materials that support customer and external engagement. This is a hands-on individual contributor ro
About the Team The Payments Team is working to make AGI financially sustainable by enabling OpenAI to accept payments across our existing products (ChatGPT, ChatGPT for Teams, API) and supporting future commercial experiences. We own the user-facing payments experience, direct integrations with payment service providers, and other supporting infrastructure that powers checkout and payment flows. Payments works closely with teams across Finance, Legal, Growth, Product, external vendors and more to ensure our payments infrastructure scales with the business and supports evolving commercial goals. About the Role As a Software Engineer on the Payments Team, you will play a pivotal role in shaping the infrastructure that powers OpenAI’s financial systems. You’ll design and build core payments systems, partner with cross-functional teams to deliver scalable solutions, and ensure that our financial systems support rapid product iteration and global reach. We’re looking for people who are pragmatic, collaborative, and energized by the opportunity to build systems that are foundational to OpenAI’s long-term mission and sustainability. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Architect, implement and scale core payment infrastructure. Build robust and extensible financial primitives to enable rapid iteration and support hyper-growth. Collaborate closely with internal and external stakeholders (e.g. Finance, GTM, Product, etc) to translate business requirements into clean, scalable technical systems. Demonstrate high levels of ownership to get changes shipped in the highly-regulated domain of payments. Create a seamless user experience for checkout around the world. Improve the reliability, observability and auditability of money movement at OpenAI. You might thrive in this role if you: Have 5+ years of professional experience in software engine
This is where your work makes a difference. At Baxter, we believe every person—regardless of who they are or where they are from—deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job—you will find purpose and pride. Job Description Your Role at Baxter This is where your work saves lives. As a Principal Product Cybersecurity Engineer, you will own and direct the cybersecurity design, architecture, and analysis of medical devices, digital platforms, and connected healthcare solutions. You will serve as a cybersecurity subject matter expert, leading security initiatives from concept through deployment while providing technical leadership and mentorship across cross-functional teams. You will drive cybersecurity strategy, influence technical decision making, and ensure prod
Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Career Manager - Chennai Chennai, India | Work Model: On-site Guide our Chennai Consultants through transformative career journeys while building operational excellence that directly fuels Customer Success and business growth. ABOUT THE TEAM The People Team partners with Appian's Professional Services organization to develop world-class consulting talent delivering AI-Powered Process Automation solutions to our clients. This team owns the full consultant lifecycle—from onboarding through career progression—ensuring our consultants have the coaching, development, and support needed to drive client transformation. Your work directly impacts retention, performance, and the capability of teams solving complex mission-critical challenges. THE OPPORTUNITY As Appian scales its footprint, the demand for exceptional consulting talent has never been higher. This role exists to ensure our consultants don't just deliver projects—they build careers, develop deep expertise, and become trusted advisors to clients. You'll shape how we grow, retain, and elevate talent in a high-stakes environment where performance and people development are inseparable from business success. WHAT YOU'LL DO Oversee and continuously improve systems and processes that support talent development, evaluation, feedback, and retention. Partner with top consultants to develop consulting career development frameworks. Contribute and enhance performance management processes, including feedback cycles, performance reviews, and promotion calibrations, in collaboration with Project Engagement Managers
Job Title NPSS Quality Assurance Manager Job Description Job Title: NPSS Quality Assurance Manager Lead and execute compliant, risk-based assurance for computerized systems that support medical device quality and business processes. This role combines hands-on Computer System Validation (CSV), quality oversight, stakeholder leadership, and audit readiness across the system lifecycle. Focus CSV / CSA and Quality Assurance Experience 8+ years in regulated environments Work Model Office-based / Hybrid designation to be confirmed The opportunity As an NPSS QA Manager, you will own and strengthen the validation and assurance framework for non-product software and computerized systems used in a regulated medical device environment. You will partner with process owners, IT, Quality, Regulatory, Cybersecurity, Privacy, suppliers, and project teams to ensure systems are fit for intended use, compliant, inspection-ready, and maintained in a validated state. Your role Provide quality oversight and consultancy across the full computerized system lifecycle, including intended use, classification, validation planning, requirements, risk assessment, supplier assessment, test strategy, traceability, release, change control, periodic review, incident and problem management, and retirement. Develop, implement, and maintain computerized system validation deliverables, procedures, and guidance for CSV and Computer Software Assurance (CSA). Collaborate effectively with project teams and the NPSS team, consistently applying current GxP standards. Apply a risk-based, critical-thinking approach that scales assurance activities to patient safety, product qual
Job Title NPSS Quality Assurance Manager Job Description Job Title: NPSS Quality Assurance Manager Lead and execute compliant, risk-based assurance for computerized systems that support medical device quality and business processes. This role combines hands-on Computer System Validation (CSV), quality oversight, stakeholder leadership, and audit readiness across the system lifecycle. Focus CSV / CSA and Quality Assurance Experience 8+ years in regulated environments Work Model Office-based / Hybrid designation to be confirmed The opportunity As an NPSS QA Manager, you will own and strengthen the validation and assurance framework for non-product software and computerized systems used in a regulated medical device environment. You will partner with process owners, IT, Quality, Regulatory, Cybersecurity, Privacy, suppliers, and project teams to ensure systems are fit for intended use, compliant, inspection-ready, and maintained in a validated state. Your role Provide quality oversight and consultancy across the full computerized system lifecycle, including intended use, classification, validation planning, requirements, risk assessment, supplier assessment, test strategy, traceability, release, change control, periodic review, incident and problem management, and retirement. Develop, implement, and maintain computerized system validation deliverables, procedures, and guidance for CSV and Computer Software Assurance (CSA). Collaborate effectively with project teams and the NPSS team, consistently applying current GxP standards. Apply a risk-based, critical-thinking approach that scales assurance activities to patient safety, product qual
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