Identity And Access Management Engineer Jobs

At Dscout, we’re building the most flexible and powerful UX research platform on the market—trusted by the world’s top brands in finance (JP Morgan Chase, Intuit, Charles Schwab, PayPal), healthcare (Aya, Headspace), consumer goods (Keen, Verizon, Target, Northface), and tech (Google, Amazon, Facebook, Meta, Spotify, AirBnB). Our tools help teams deeply understand the humans behind their products, so they can build better ones. We are expanding our smart and driven team and would love for you to join us. We're looking for an AI Product Manager who brings the full standard PM toolkit — user research, market and competitive analysis, roadmap and strategy, cross-functional delivery, and strong collaboration instincts - and applies it to products where the model underneath doesn't behave the same way twice. You have a real, hands-on feel for what different LLMs are actually good and bad at, and you use that to prototype ideas yourself, sometimes shipping small, production-quality AI features directly. You default to ownership: of the roadmap, of outcomes, of the quality bar that decides whether something's actually ready to ship, and of what an agent should be trusted to do on its own versus when a human needs to stay in the loop. That's because building AI-native products means quality is a distribution, not a pass/fail — a feature can work correctly most of the time and still need a real answer for the failure tail, since the underlying system is non-deterministic, not just complex. What you'll do Lead the roadmap and strategy for your product area, from problem discovery through delivery and post-launch iteration Lead the evaluation bar for the model-powered surfaces you're responsible for: define eval sets, identify failure modes, and know the rollback plan before a change ships Prototype product ideas directly using your own understanding of model strengths and weaknesses, and ship small, production-quality AI features yourself when that's the fastest path to

About the Team The AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with retail and consumer businesses to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. About the Role As an AI Architect, you will be the senior technical owner for a named portfolio of Retail customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business”, shaping each customer's AI strategy and guiding their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will own the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate business priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to durable customer value and growth. The Account Director owns commercial strategy; you own the technical strategy, customer journey, and path to production value. You will remain accountable for the technical outcome while bringing in the right specialists across deployment, implementation, enablement, security, product, and partners to provide deeper expertise and execute work where needed. This role calls for strong industry fluency, sound architectural judgment, and the ability to move confidently between executive strategy and hands-on technical conversations. In this role, you will: Serve as the primary technical advisor and long-term technical relationship owner for a named portfolio of existing customers and pre-sales prospects. Partner with Acco

As a Strategic Account Executive, the primary responsibility is to target and close enterprise strategic new logos across India. In this role you’ll be focused on uncovering the pain points organisations face as they operate in or migrate to a cloud environment at scale as well as delivering the appropriate Datadog solution. What You’ll Do: Prospect into large Fortune 500 companies in India while running an efficient sales process Maintain, build and own specific relationship maps for your territory including existing relationships and aspirational contacts Develop a deep comprehension of customer's business Negotiate favourable pricing and business terms with large commercial enterprises by selling value and ROI Manage both customer & prospect expectations while expanding & hunting reach and depth into assigned territory, respectively Demonstrate resourcefulness when faced with challenges that defy easy solutions Have intuitive sense of necessary steps to close business and gain customer validation Identify robust set of business drivers behind all opportunities Ensure high forecasting accuracy (minimum 90%) and consistency Who You Are: Someone with 5+ years closing experience; mix of field selling within enterprise (as defined by Datadog, which is companies with more than 5000 employees) Driven and must have exceeded direct sales goals of 1M+ and operated with an average deal size of $100k+ Able to demonstrate methodology to prospect and self-generate pipeline Experienced in working for an innovative tech company (SaaS, IT infrastructure or similar preferred) Experienced in selling into large Fortune India 500 companies with proven ability to win new logos Comfortable and confident and working with cross functional, overseas teams Role requires regular travel to client sites, within your area and other regions, using various modes of transportation (car, train, air), depending on business needs. Datadog values people from all walks of life. We unders

Senior Software Engineer, Product Frameworks The Product Frameworks team’s goal is to make product engineers and AI agents more effective building software with Asana's product frameworks. We’re looking for a Senior Software Engineer to modernize our custom, home-built frameworks and lead them toward industry-standard, open-source best practices. Your work will empower our product engineering organization to build and ship with high velocity within an evolving multithreaded agentic world. You will identify friction points in our proprietary systems and architect new approaches that are easier, safer, and AI-native. You will use AI to work more effectively and build the foundation for both product engineers and AI agents working with our frameworks. This role is based in our New York City office with an office-centric hybrid schedule. Along with most Asanas, you’ll work from this office in person on Mondays, Tuesdays, and Thursdays. Most Asanas have the option to work from home on Wednesdays and Fridays. If you're interviewing for this role, your Talent Acquisition Partner will share more about the in-office requirements. What You’ll Achieve Modernize and iterate on Asana’s custom, home-built frameworks to align with modern industry standards. Leverage AI agents to speed up migrating from Asana’s legacy systems to modern open-source frameworks. Partner with product engineering teams to identify opportunities to speed up development at Asana, and adopt modern best practices across Asana's monorepo. Support product engineering teams through office hours and presentations on our frameworks. About You 5+ years of experience in software engineering, or equivalent practical experience. Comfortable transitioning between different areas of a large codebase. Interested in using AI agents to migrate legacy systems to open source best practices. A collaborative approach to accelerating development cycles through agentic workflows (ex: Claude Code, Cursor). You value learning so

About the Role: We are looking for an experienced Risk Management professional to lead and strengthen our Market Risk and Margin Trading Facility (MTF) risk functions. The role will be responsible for developing robust risk frameworks, monitoring trading and client exposures, ensuring regulatory compliance, and safeguarding the organization against market-related risks while enabling sustainable business growth. Key Responsibilities: Market Risk Management - - Develop, implement, and continuously enhance market risk management frameworks across Equity, Derivatives, and Margin Trading Funding (MTF) businesses. - Monitor and assess market risk exposures arising from cash equities, futures, options, and leveraged products. - Establish and review risk limits, exposure thresholds, concentration limits, and margin policies. - Track key risk indicators (KRIs) and ensure timely escalation of potential risk events. MTF & Exposure Risk Management: - Manage client-level and portfolio-level risks associated with Margin Trading Funding (MTF). - Define collateral eligibility, haircut frameworks, and funding exposure limits. - Monitor leveraged positions and ensure adequate margin coverage across client portfolios. - Evaluate concentration risks and implement preventive controls to minimize losses. Risk Analytics & Monitoring: - Conduct stress testing, scenario analysis, and sensitivity assessments under varying market conditions. - Develop risk models and analytical tools to evaluate portfolio resilience during periods of volatility. - Analyze trading patterns, market trends, and exposure data to identify emerging risks. - Drive automation and real-time risk monitoring capabilities across trading systems. Regulatory Compliance & Governance: - Ensure compliance with SEBI, NSE, BSE, Clearing Corporation, and other applicable regulatory requirements. - Oversee risk-related regulatory reporting, including exposure monitoring, margin compliance, and CTCL reporting. - Coordinate w

About the Team OpenAI’s People team hires, engages, and retains world-class talent to safely build and deploy AGI that benefits all of humanity. The People Analytics team helps leaders make rigorous, evidence-based talent decisions and ensures that the systems supporting those decisions are valid, reliable, fair, and accountable. About the Role As a People Data Scientist focused on AI fairness and bias testing, you will help establish how OpenAI evaluates AI-assisted People systems and high-impact talent processes. You will design and conduct rigorous assessments to identify, measure, and mitigate potential bias across the lifecycle of models, agents, decision-support tools, and automated workflows. Your work will span the entire employee life-cycle, such as hiring, performance, promotion, employee development, workforce planning, etc. You will evaluate both technical systems and the broader human-AI decision processes in which they operate, examining not only model performance but also data quality, measurement validity, differential outcomes, human oversight, and unintended consequences. We’re looking for an experienced data scientist or applied researcher who can translate complex fairness questions into defensible evaluation strategies, scalable testing infrastructure, and clear recommendations for technical teams and senior leaders. This role is preferred to be based in San Francisco, CA. In this role, you will: Define and lead fairness and bias-testing strategies for AI-assisted People processes, models, agents, and decision-support systems from development through deployment and ongoing monitoring. Design rigorous algorithmic audits and validation studies, including adverse-impact analysis, subgroup and intersectional evaluation, error-rate analysis, calibration, measurement invariance, reliability, criterion-related validity, and sensitivity testing. Identify the appropriate fairness criteria for each use case, evaluate tradeoffs among competing definitions

Location Details: Remote, India At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings Join Our Team... GoDaddy’s Product Security team is looking for a Security Engineer who is passionate about helping build secure products and services used by millions of customers worldwide. In this role, you will work closely with engineering and platform teams to identify security risks, improve security practices, and help embed security throughout the software development lifecycle. You will have the opportunity to learn from experienced security professionals while contributing to initiatives that improve the security and resilience of our products, platforms, and cloud environments. The ideal candidate is curious, hands-on, eager to learn, takes ownership of their work, and excited to solve security challenges at scale! What you'll get to do... Identify, assess, and help remediate security risks across applications, infrastructure, cloud environments, and AI-enabled services Partner with engineering and platform teams to design, implement, and improve security controls throughout the software development lifecycle Conduct security reviews, threat modelling, and risk assessments to help build secure, resilient, and scalable systems Develop and enhance automation, tooling, and processes that strengthen security coverage, improve detection and response capabilities, and increase operational efficiency Investigate security findings, stay informed on emerging threats and technologies, and contribute to a culture of security awareness and continuous learning Your experience should include... 2+ yea

About the Team The AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries and digital-native businesses to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. About the Role As an AI Architect, you will be the senior technical owner for a named portfolio of customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business”, shaping each customer's AI strategy and guiding their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will own the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate business priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to durable customer value and growth. The Account Director owns commercial strategy; you own the technical strategy, customer journey, and path to production value. You will remain accountable for the technical outcome while bringing in the right specialists across deployment, implementation, enablement, security, product, and partners to provide deeper expertise and execute work where needed. This role calls for strong industry fluency, sound architectural judgment, and the ability to move confidently between executive strategy and hands-on technical conversations. This role is based in Singapore. 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: Serve

About the Team At OpenAI, Trust & Safety Operations is central to protecting OpenAI’s platform, customers, and the public from abuse. We partner closely with Product, Engineering, Legal, Policy and Go To Market teams to identify emerging risks, build and mature enforcement systems, and ensure high-integrity operations while delivering a great user experience at scale. We’re building the Monetization Trust & Safety Operations team to ensure OpenAI can grow advertising in a way that is safe, trusted, and sustainable—for users, advertisers, and the business. This team sits at the intersection of operational scale, product risk, and rapid revenue growth, designing systems and operations that enable ads to scale without compromising user trust or safety. It’s critical to us that our Ads product be built in a way that corresponds to our Ads principles , and this team is key to that. About the Role We’re looking for a senior operator to help build and scale Monetization Trust & Safety Operations at OpenAI. In this role, you’ll own critical Ads T&S workstreams from problem framing through scaled operation, partnering closely with Product, Policy, Engineering, Legal, and Go To Market to turn ambiguous priorities into durable operating models. This role sits at the intersection of strategy and execution: you’ll define scope, align owners, manage milestones and risks, resolve dependencies, and build the workflows, decision structures, and operating mechanisms that allow Ads Trust & Safety to scale. You’ll move between standing up new programs, stabilizing existing workflows, and handing off durable ownership as priorities evolve. As OpenAI introduces new revenue-generating formats and partnerships, you’ll bring structure to complex initiatives that balance user safety, advertiser experience, and business growth. You’ll use data and frontline signals to identify bottlenecks, quality gaps, capacity needs, and high-leverage interventions, and communicate clear

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft Urban Solutions powers the bike-sharing and scooter-sharing systems that move millions of people in over 60 cities worldwide. We built North America's first automated bike-share system and continue to lead the micromobility revolution. Our systems operate globally - from Citi Bike in New York to BIXI in Montreal, Divvy in Chicago, Capital Bikeshare in DC, and iconic systems in Austin, Barcelona, Bogota, Boston, Buenos Aires, Columbus, Detroit, Dubai, London, Madrid, Mexico City, Monaco, Pittsburgh, Portland, Rio de Janeiro, San Francisco, Toronto, and beyond. We're not just technology providers - we operate these systems, building the software, hardware, and operations that make urban micromobility work at scale. Ready to shape how millions of people move through their cities every day? We're looking for an Android Software Engineer to join the Rider Experience team within Lyft Urban Solutions. Your work will directly power the digital experiences behind our bike-share and scooter-share platforms. You'll build the backend systems that make membership programs, rider features, and real-time experiences feel seamless and fast. We're moving quickly on this hire; the team has ambitious goals for 2026 and needs strong engineers who are ready to ship. Our engineers are sharp, pragmatic problem-solvers who move fast and deploy to production continuously. Responsibilities: Engineering & Delivery Design, develop, deploy, monitor, operate, and maintain elements of our Rider experience, owning components end to end Write reliable, performant, and maintainable code, with comprehensive test coverage Reduce technical debt and contribute to ongoing improvements in tooling and code structure Analyze internal systems and processes to identify opportunities for improvement and automation Participate in code r

Become a part of our caring community The Senior Quality Improvement Professional leads efforts to improve clinical quality and provider performance for the Humana Healthy Horizons in South Carolina Medicaid Plan. You will develop and implement cross-functional quality improvement initiatives, evaluate business processes and performance outcomes, and drive sustainable, measurable improvements. Reporting to the Quality Improvement Director, you will collaborate with internal and external stakeholders to advance a provider-focused culture of quality and performance excellence. You will manage complex projects and analyze diverse data sources to identify opportunities, inform strategy, and support organizational objectives. The Senior Quality Improvement Professional leverages data to lead quality improvement initiatives, monitor performance metrics, and support provider performance enhancement. This role collaborates with provider-facing teams to implement targeted interventions, develop educational resources, and drive achievement of quality and member experience goals. The position leads and participates in multidisciplinary committees, provides strategic clinical guidance on quality initiatives, and influences business decisions through data-driven insights. Operating with a high degree of independence, the Senior Quality Improvement Professional manages complex projects, exercises sound judgment, and recommends solutions to advance organizational objectives. Essential Role Responsibilities The Senior Quality Improvement Professional is responsible for improving clinical quality and performance outcomes among South Carolina network providers. Key responsibilities include: Partner with Provider Engagement, Network, and Contracting teams to implement clinical quality improvement strategies including education, training and performanc

About the Role OpenAI is building a scalable global mobility tax program that enables employees and the business to move quickly while managing tax compliance, risk, and employee experience. As Global Mobility Tax Manager, you will own the strategy and operating model for mobility tax across international and domestic business travel, assignment planning, cross-border moves, and other priority mobility scenarios. This is a high-impact role for a builder who can translate complex tax requirements into clear policies, durable controls, and practical employee and business guidance. You will lead through expertise and influence across Payroll, Corporate Tax, Finance, Legal, People, business teams, and external advisors. In this role, you will: Set the global mobility tax framework, principles, governance, and service model in partnership with Corporate Tax teams. Build clear policies and decision frameworks for international and domestic business travel, assignment planning, cross-border transfers, and other mobility scenarios. Design the end-to-end operating model, including ownership, handoffs, controls, escalations, employee communications, and vendor responsibilities. Partner with Payroll, Corporate Tax, Finance, Legal, People, and business leaders to identify tax implications early and support sound workforce decisions. Establish reporting, dashboards, program health metrics, and issue-management routines that surface risk and drive timely remediation. Automate high-volume workflows and use AI-enabled tools to improve case handling, documentation, data quality, and employee support. Manage external tax advisors and vendor partners, service quality, and delivery against agreed standards, timelines, and outcomes. Monitor regulatory and business changes, assess program impact, and continuously strengthen policies and controls. You might thrive in this role if you: Bring 8+ years of experience in global mobility tax, expatriate tax, business-traveler compliance, or a c

AI Solution Engineer Description - We are seeking an innovative and results-driven AI Solution Engineer to design, develop, and deploy next-generation AI-powered solutions that transform document workflows, business processes, and customer experiences. This role will leverage technologies such as Artificial Intelligence (AI), Large Language Models (LLMs), Natural Language Processing (NLP), AI Agents, Computer Vision, and Edge AI to create intelligent solutions for enterprise customers. As a key member of the imaging team, you will work closely with product management, imaging and software architects, and development partners to prototype, develop, integrate, and deploy imaging algorithms and scalable AI solutions that deliver measurable business value. You will help identify emerging technology opportunities, translate customer and business requirements into innovative products, and bring new imaging and AI-enabled capabilities to market. The ideal candidate combines strong software engineering skills with hands-on experience in AI application development, image science, machine learning technologies, and cloud-based services. You are passionate about innovation, thrive in a collaborative environment, and enjoy solving complex business challenges through technology. Responsibilities: Design, develop, and deploy AI-powered applications and solutions that improve productivity, automate workflows, and enhance customer experiences. Prototype and evaluate emerging technologies, including Large Language Models (LLMs), Natural Language Processing (NLP), AI Agents, Computer Vision, and Edge AI solutions. Develop intelligent document workflow solutions that leverage AI to extract insights, automate decisions, and streamline business processes. Collaborate with product managers, architects, and engine

Our Enterprise Sales team works with a best-of-breed product that solves real problems for our customers. Sellers follow a well-defined methodology that helps them identify the customer's unique needs and clearly convey the value of the Datadog product. Whether you're looking to learn from the best or be the best, the Datadog sales team is dedicated to furthering personal development and team success. We are searching for an experienced Sales Executive that has a real passion for technology and can deliver on bold revenue targets. As we continue to enter into bigger markets, and formalize our support for the Higher Education segment, this division within Datadog will blaze the path for organizational growth. This is a lucrative opportunity to break into Higher Education accounts within a national territory, as well work with accounts who are in a hybrid state and transitioning to the cloud. 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: Prospect into Higher Education organizations while running an efficient sales process Maintain, build and own specific relationship maps for your territory including existing relationships and aspirational contacts Develop a deep comprehension of customer's business Negotiate favorable pricing and business terms with Higher Education organizations by selling value and ROI Handle existing customer expectations while expanding reach and depth into assigned territory Demonstrate resourcefulness when faced with challenges that defy easy solution Have intuitive sense of necessary steps to close business and gain customer validation Identify robust set of value drivers behind all opportunities Ensure high forecasting accuracy and consistency Who You Are: Someone with 5+ years closing experience (mix of field sellin

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. We are looking to hire a Product Manager II to join our Product Organization. You'll own a set of experiences and help define what "great" looks like as AI reshapes how customers work across Smartsheet. You’ll help identify the needs of our customers, and empower customers to drive meaningful change in their organizations. You’ll report to our Director, Product Management. You may work from our Bellevue, WA office, or remotely from anywhere in the US where Smartsheet is a registered employer. You Will: Own a set of features end-to-end — defining and shipping them against clear success criteria Define a set of features/experiences based on customer needs, market trends, and business outcomes Make the feature-level release calls (ship, block, or defer) and own quality and readiness for what you ship, including AI behavior where it's involved Use internal and external data to guide experimentation, decisions, opportunities and evaluation of success Partner with research, product design, data science and analytics teams to validate hypotheses Communicate strategy, product insights, winning and losing experimentation, etc. to a wide audience You Have: A technical degree, or equivalent experience working closely with engineers to make product decisions on behalf of customers Two or more years of product management experience, ideally building tools that people use every day A data-informed mindset: you define and track feature metrics, dig into the "why" behind them, and separate real customer value from hype Experience partne