Probe Application Integration Engineer Jobs

We are looking for a world-class Strategic Named Account Executive to fully own and elevate our relationship with Amazon, one of Asana's largest and most strategic customers globally. In this highly visible role, you will operate far beyond transactional sales to lead a fully resourced, dedicated account team (including a dedicated CSM, SE, Technical Account Manager, and Customer Enablement Manager). You will build deep, multi-departmental executive partnerships across Amazon's sprawling organization, position our next-generation AI product portfolio, and lay the strategic groundwork for one of the most significant renewal cycles in our company's history. This is a unique opportunity to take over a healthy, massive marquee account and drive the orchestration necessary to make the relationship extraordinary. This role can be fully remote within the US with a preference for Seattle, San Francisco, or New York. What you’ll achieve Fully embed yourself in the Amazon relationship, mapping key stakeholders, identifying executive sponsorship gaps, and establishing a consistent executive engagement rhythm. Partner closely with your dedicated Amazon account team (CSM, SE, TAM, CEM) to lead a highly coordinated, unified front. Deeply understand the bi-directional technical and commercial relationship between Asana's product suite and Amazon's infrastructure/marketplace. Build and scale trusted partnerships with Fortune 10 senior line-of-business and IT executives across Amazon. Design and execute high-impact Quarterly Business Reviews (QBRs) that clearly quantify and prove Asana's value realization. Generate awareness and early adoption of Asana’s latest innovation portfolio, including AI Teammates, Dash, and agentic AI workflows. Collaborate closely with Asana's channel and partner teams to optimize our presence and co-selling opportunities via the Amazon Web Services (AWS) Marketplace. Proactively construct the commercial runway and strategic roadmap for a massive upcoming

About Us OpenFX is on a mission to move money as freely as data, unrestricted by time zones, banking hours, or legacy systems. We are building the infrastructure that will power the next generation of cross-border payment systems for institutions. The team's execution has been exceptional, and we're scaling at a remarkable pace. Our stellar early team comes with experience in companies like J.P. Morgan, Goldman Sachs, FalconX, Paypal, Affirm, Polygon, Kraken, Nium & others. We're backed by Accel, Lightspeed, NfX and other top-tier investors. Role Overview We are looking for a Security & Compliance Engineer to turn regulatory requirements into real, running controls — and then prove to auditors that they work. This is a senior, hands-on role for someone who thrives in fast-paced, heavily regulated environments and knows how to make compliance provable in production rather than on paper. OpenFX is expanding across Europe in a heavily regulated financial environment. As we scale into EU markets, regulators, auditors, and enterprise partners expect provable, continuously operating security controls — not slide decks or one-off audits. Compliance requirements (DORA, GDPR, SOC 2, ISO 27001, and region-specific regulations) are increasing faster than our ability to operationalize them, and this role exists to close that gap. You will own the security controls and evidence that regulators and auditors care about, end to end — from translating regulatory language into concrete mechanisms through to audit walkthroughs and remediation. You will partner closely with Legal, Compliance, Risk, and engineering to ensure compliance is built into the platform rather than bolted on after the fact. This role is based in Amsterdam, Netherlands (EU/EEA). Key Responsibilities: Own audit-ready security controls Design, implement, and maintain technical and operational controls for DORA, GDPR, SOC 2, ISO 27001, and future regional requirements. Ensure controls are not just documente

Flow Production Tracking Administrator (6-month CONTRACT) This position is for temporary engagement through our staffing partner, Yoh Enterprise Solutions. Candidates must be authorized to work in the United States for this position. Insomniac Games is looking for a Flow Production Tracking Administrator. In this role, the Flow Administrator is responsible for stabilizing and maintaining our Flow Production Tracking (formerly ShotGrid) environment, with an initial focus on the Flow/Jira Bridge that underpins our daily production workflow. Flow is the system of record for production tracking across 300+ users and thousands of tasks per month. The initial scope of the engagement is 6 months, prioritizing bridge stability before expanding to broader Flow improvements. ESSENTIAL FUNCTIONS AND RESPONSIBILITIES Stands up a studio-owned instance of the Flow/Jira Bridge so that bridge configuration, deployment, and recovery can be managed internally without dependency on Sony Interactive Entertainment HQ. Stabilizes and maintains the Flow/Jira Bridge as the first priority of the engagement, ensuring data integrity between Flow and Jira. Re-architects the Flow automation and event listener layer for reliability and security, including migration off the current virtual machine to infrastructure that is not prone to unscheduled restarts. Troubleshoots Flow and Jira Bridge issues for internal developers and external development partners; serves as the primary point of escalation when the system is not behaving. Audits and documents the current Flow and Jira Bridge configuration, integration architecture, and recovery procedures. Fixes broken or degraded areas of the Flow pipeline as scoped with pipeline engineering, beginning with the Character workflow. Sets up and improves Flow pipelines for upcoming work, including VFX, and contributes ongoing improvements to the Cinematics pipeline. Administers Flow Production Tracking day-to-day: schema, permissions, page layouts, custom f

Engineering Manager - Backend About Us: Paytm is India’s leading digital payments and financial services company, which is focused on driving consumers and merchants to its platform by offering them a variety of payment use cases. To merchants, Paytm offers acquiring devices like Soundbox, EDC, QR and Payment Gateway where payment aggregation is done through PPI and also other banks’ financial instruments. To further enhance merchants’ business, Paytm offers merchants commerce services through advertising and Paytm Mini app store. Operating on this platform leverage, the company then offers credit services such as merchant loans, personal loans and BNPL, sourced by its financial partners. About the role: As a Engineering Manager, you will help define the technical design and implementation roadmap across multiple solutions and will work with engineering leadership to ensure we resource and equip our squads with the right expertise to deliver those solutions. Requirements: 8 to 12 years of strong software design/development experience in building massively large scale distributed internet systems and products Hands on experience in Advance Java, Spring boot, AWS, Node, Agentic AI, LLM, RAG, Cursor, Copilot Experience and knowledge of open source tools & frameworks, broader cutting edge technologies around server side development Should be an active contributor to developer communities like Stack overflow, Top coder, Git hub, Google Developer Groups (GDGs). Superior organization, communication, interpersonal and leadership skills. Must be a self-starter who can work well with minimal guidance and in fluid environment. Preferred Qualifications : Bachelor's/Master's Degree in Computer Science or equivalent Skills that will help you succeed in this role: Expertise in Java, DB: RDBMS, Messaging: Kafka/RabbitMQ, Caching: Redis/Aerospike, Micro services, AWS Strong experience in scaling, performance tuning & optimization at both API and storage layers Probl

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies, from the world’s largest enterprises to the most ambitious startups, use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The Global Transformation Team is a small, high-leverage team with a global remit. We lead the programs that transform how ProServ works, so our users realize the full value of Stripe faster. That means making ProServ AI-native, building one prescriptive methodology that scales worldwide, and creating the knowledge systems that make every engagement smarter than the last. We care about craft, consistency, and landing change, not just shipping it. Everything we build is global by default, AI-native by design, and built to stick. If we do this well, the model we prove here becomes the blueprint for how Stripe transforms itself everywhere. What you’ll do As AI Product Manager for ProServ, you will own the roadmap that makes ProServ AI-native — sitting at the intersection of AI strategy, engineering execution, and organisational change. You will operate with significant autonomy and a high degree of ambiguity. The ability to influence without authority, build momentum x-geo, and translate strategic intent into real-world delivery is essential. Own the AI product roadmap for ProServ Deeply understand the needs of ProServ users by spending time with our teams, observing patterns across their feedback, and interrogating our data. We are users first, every roadmap decision should trace back to making their experience better Translate this into an AI strategy including a prioritised, executable product roadmap Work closely with the ProServ leadersh

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . What the Role is: As the Measurement Product Marketing Lead, you will define, position, and scale Pinterest's advertiser measurement strategy spanning attribution, signal quality, data partnerships, and measurement infrastructure to help advertisers understand and grow performance in an increasingly complex landscape. This role is responsible for shaping how Pinterest brings measurement solutions to market, including attribution coverage, first-party data capabilities, incrementality, and emerging methodologies that give advertisers confidence in Pinterest's ability to deliver and prove results. You will play a critical role in sustaining and growing advertiser outcomes amid evolving platform changes, signal loss, shifting measurement expectations, and a rapidly changing industry landscape. You will serve as the connective tissue across P

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, governments, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences. About the Role We're looking for a Partnerships Manager to drive forward the clinical AI research agenda for Anthropic's global health work — informing the tools that bring Claude safely into care and generating the evidence that proves they work. You'll help define how clinical AI tools should be validated for use in low- and middle-income countries (LMICs), and you'll help shape the tools and safeguards that make Claude safe and usable in clinical settings. This is a hands-on role as much as a research one: you'll work side by side with Anthropic's research, evals, and product teams, translating what you know from how care actually gets delivered in low-resource settings into evaluations, safeguards, and product improvements. You'll join a small, tight-knit global health team within Beneficial Deployments. While you'll lead on this domain, you should expect to roll up your sleeves on adjacent workstreams, help shape overall team strategy, and be a thought partner to colleagues working on other parts of the health system. Everyone on the team owns the whole mission, not just their lane. Key responsibilities Own the clinical research and evaluation agenda for our global health work — define what we need to prove, to what standard, and with whom, and drive it. Design clinical evaluations and validation frameworks for LLMs in LMIC contexts, covering accuracy,

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE Baseten is building its own GPU infrastructure for large-scale inference. As we move into large scale, high-density NVIDIA systems, the hardest failures are intermittent, cross-layer, and difficult to prove: RoCE congestion, InfiniBand stalls, ECN/DCQCN mis-tuning, bad optics, RNIC issues, host kernel stalls, GPU driver problems, and workload symptoms that look like network problems, but are not. We are hiring a Lead Software Engineer to build a first-class observability and root-cause analysis system for GPU fabrics. This is a hard distributed systems problem, not a dashboarding problem. The system will collect high-volume signals from switches, hosts, active probes, and inference services; reduce and correlate them in real time; understand topology and service ownership; and produce actionable diagnosis while an incident is still unfolding. This role sits at the boundary between networking and inference software. RDMA data paths, GPUDirect transfers, prefill/decode disaggregation, KV cache movement, request routing, and workload backpressure can all create fabric symptoms or hide real fabric failures. The goal is to tell an operator, quickly and with evidence, whether an incident is caused by the fabric, host, NIC, GPU, RDMA path, scheduler, or serving layer — and what to do next. EXAMPLE INITIATIVES Real-time telemetry engine — Build the ingestion, reduction, storage, and query path for high-cardinality fab

About the Team DoorDash Labs is an independent innovation hub within DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. Our mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike. We are a highly senior team composed of former pioneers from a variety of different robotics industries. If you have a passion for applying AI and robotics solutions in a service used by millions of people, then we want to talk to you! Please Note: This role is based in San Francisco, CA, and requires being in-person 5 days a week. About the Role We are seeking a Senior RF Engineer to join our multidisciplinary team developing mission-critical RF/electrical systems for unmanned platforms.This role offers a rare opportunity to gain deep insight into RF design and validation, contributing across the full product lifecycle, from early concept and prototyping through production. In this role, you will apply deep expertise in electromagnetic theory and wireless system design to ensure autonomous platforms operate with exceptional reliability and precision. You will design, optimize and validate RF / mixed-signal PCBAs with a strong focus on interference mitigation, troubleshoot system-level desense, and leverage a thorough understanding of wireless technologies including LTE, 5G NR, Wi-Fi, GPS, and UWB. You’re excited about this opportunity because you will… Lead the development of innovative solutions that span across RF, Mixed signal and mechanical domain. Design RF hardware as well as wireless testbeds to support system validation, and lead the execution and documentation of system-level design and verification Provide expertise, mentorship to partner teams regarding EMI mitigation strategies, and cross-functional debug processes Characterize EMI caused by internal & external aggressors by tracing root causes using EMC probes

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Our Sales Engineering organization is seeking an AI Specialist who can provide hands-on expertise and support while working with technical decision makers and data scientists to design and architect AI solutions built on the Snowflake AI Data Cloud. This is a strategic role that works closely with cross-functional teams, including product, engineering, and the broader field organization to ensure successful execution and customer adoption of Snowflake’s AI & ML solutions. IN THIS ROLE YOU WILL GET TO: Be the technical expert in the room that positions Snowflake’s AI and ML features and value to technical stakeholders at Snowflake’s customers across the APJ region. Partner with Snowflake account team teams and customer champions to scope and drive POCs to success and technical wins that prove the value of Snowflake’s capabilities, including executive readouts and business value cases. Collaborate with Snowflake’s product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback. Publish content that helps the team and company scale beyond your individual efforts, like blog posts, presentations at conferences, or technical collateral like notebooks and demos. Influence, tailor and maintain Sales Engineering AI and ML selling assets, incl

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . The Conversion Visibility Modeling team enables a performant ads marketplace and helps prove value to advertisers by connecting Pinterest onsite activity with conversions that happen offsite (both digital and physical) in a privacy-preserving way. As a Machine Learning Engineering Manager on this team, you will lead a hybrid team of ML engineers and backend software engineers to build end-to-end identity and conversion visibility solutions across modeling, serving, and data infrastructure, so advertisers retain accurate, privacy-aware performance visibility as signals fragment and degrade. You will set the technical direction for high-impact ML systems that feed ranking, bidding, measurement, and reporting across Pinterest’s ads stack. What you’ll do: Attract, hire, develop, and lead a hybrid team of ML engineers and backend softwar

What you’ll do Design and implement secure cloud pipelines that ingest very large scan datasets (multi-terabyte), reliably and resumably. Build orchestration for GPU-accelerated reconstruction and analysis with strong retry semantics, idempotency, and cost controls. Define end-to-end data lifecycle for medical imaging: raw vs intermediate vs derived artifacts, retention policies, and reproducibility. Implement security + compliance primitives appropriate for HIPAA/PHI: encryption in transit/at rest, key management, least privilege, audit logs, and access reviews. Build operational tooling: monitoring, alerting, runbooks, and incident-driven improvements for a growing device fleet. What we’re looking for Strong experience with cloud batch/queueing/orchestration, storage systems, and data pipeline reliability. Experience shipping production systems that handle large data volumes and failure-prone networks. Practical security mindset (least privilege, secrets, audit logging) and comfort operating in compliance-constrained environments. Useful experience Building reliable data pipelines at scale (queues/orchestration, resumable uploads, GPU batch execution) with strong observability. Security + privacy by default: encryption, least-privilege access, auditing, and practical HIPAA/PHI guardrails. Owning the “boring” backend details that keep a lean team moving: schemas/migrations, cost controls, retries, and runbooks. Understanding compute tradeoffs across hardware options, and specifying appropriate cloud resources.

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Position Description: The Services Architect is a technical authority on both cloud and on-premises based IT systems and is responsible for ensuring the successful design and implementation of Okta’s industry leading cloud identity platform for our customers. You will focus on Okta’s Workforce Identity Cloud offering targeted at customer identity use cases. You will develop relationships with customers to help them achieve their business goals while promoting creative solutions. You will establish yourself as a trusted partner with your customers with a focus on their success. You will translate business needs and insights into an actionable strategy and assist customers in driving their initiatives to results and high business value. This is a key member of the Professional Services (PS) team, working as part of a PS Delivery Team on each customer implementation. Job Duties and Responsibilities: Review and lead the gathering of business, functional and technical requirements for establishing an Identity platform powered by Okta for our customers. Work with customers to document the common technical and functional requirements for specific solutions. Support creation of project plans to develop and implement the proposed solution. Participate as a member of the professional services delivery team to translate requirements to designs and to provide technical leadership and oversight. Assist in periodic customer health-checks and proje

The Team + The Role Pendo is rebuilding for the AI era, with new products, new buyers, and new ways to deliver value to customers. The Customer Growth and Lifecycle function sits at the center of that shift, helping turn customer engagement into a deliberate, repeatable, compounding growth motion. This team connects product usage, customer behavior, experimentation, and lifecycle programs to help customers get more value from Pendo. As Director, Customer Growth & Lifecycle, you will own the lifecycle motion from first login to fully embedded power user. You will design the experiments, programs, and data-driven interventions that make engagement intentional rather than accidental, using Pendo’s own platform and analytics to understand what moves adoption, retention, and expansion. You will also lead a team of approximately five Adoption Managers and Pendo’s Center of Excellence / Product Operations function. This is a role based in-office in Raleigh or New York, or Remote in the East Coast. What this looks like day-to-day Customer lifecycle ownership: Build, iterate, and optimize the full digital customer journey from onboarding through expansion. You will start with functional lifecycle infrastructure and make it more measurable, scalable, and compounding. Behavior-to-action strategy: Use Pendo’s own analytics to identify where users find value, where they drop off, and which interventions move the needle. You will scope and prove your own work rather than waiting on an analyst to define the opportunity. Scaled Pendo-on-Pendo execution: Act as one of Pendo’s most important internal practitioners of the product. Design and ship cross-channel experiments across in-app guides, email, NPS, segmentation, and other lifecycle channels that show customers what great product engagement looks like. Roadmap influence: Bring front-line visibility into customer behavior directly into product conversations. Your insights will help shape feature decisions and improve how Pend

About the role There’s a wide gap between an agent that works in a demo and one that works across millions of live transactions. Closing it is the job. You’ll embed with the teams and customers who depend on AI — risk, fraud, collections, payments, support, developer experience — and design, build, and ship agentic systems into their production environments. You’ll also help build the platform underneath: Paytm’s AI inference platform (Pi) and the agentic runtime, orchestration, and tooling that lets agents reason, plan, use tools, and run multi-step workflows safely. What you’ll do Embed & deploy Tackle greenfield problems alongside internal teams and customers — scope ambiguous needs and build agents from scratch that fit how they actually work. Own deployments end-to-end: discovery, build, integration, activation, and the tuning that earns trust and adoption. Lead pilots and demos, drive adoption, and clear blockers before they stall a rollout. Build agentic systems Architect agentic systems — reasoning, planning, tool use, memory, multi-agent coordination — that run real workflows with guardrails. Build safe tool-use infrastructure across APIs, databases, and services, with permissioning, sandboxing, and human-in-the-loop. Ship SDKs, patterns, and reusable blueprints so internal teams build and deploy agents fast. Make it reliable Design and run rigorous evals: measure quality, catch regressions, and feed results back into the system. Build observability, tracing, and guardrails that prove agents are safe and keep them safe as models and data drift. Own the multi-model inference your agents depend on (text, voice, code, vision) — latency, throughput, and cost. Lead Set technical direction and standards for agentic systems; mentor engineers and partn