Engineering Manager, Multimodal (API) Job at OpenAI (San Francisco)

Engineering Manager, Fulfillment Matching and Indexing Team

The Fulfillment platform is the foundation powering the logistics behind fulfill...

Location

United States , Sunnyvale; San Francisco

Salary:

180000.00 - 200000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field
10+ years of relevant experience in software engineering
2+ years of experience in an engineering management role, leading technical teams through technical leads
Strong leadership skills but also deeply technical: Proven experience designing, building, and operating high-scale, backend distributed systems. Requires a solid understanding of technical architecture, system design, and problem-solving acumen
Experience with various project management and prioritization frameworks

Job Responsibility

Lead and mentor a high-performing engineering team, fostering a culture of technical excellence and accountability
Actively manage career growth, performance, and skill development while maintaining a high bar for engineering quality and reliability
Drive the technical vision and roadmap by translating complex business and product requirements into generic, reusable platform capabilities that ensure scale and reliability across the Fulfillment system
Define and execute the technical strategy and roadmap, ensuring close alignment with the broader Fulfillment platform vision and Uber company-wide objectives
Drive significant initiatives to scale offers for earning opportunities and develop rules framework to maintain compliance
Oversee the design and architecture of highly scalable, reliable, and extensible matching systems
Apply a rigorous platform mindset to develop robust data models, defining clear APIs, and building core capabilities for tasks like concurrent matching and job assignment optimizations
Ensure that designs maintain a high bar for quality, prevent the accumulation of technical debt, and promote extensible solutions
Projects will involve developing data models for new earning opportunities
Own the end-to-end execution of critical projects in Matching (e.g., cross LoB matching, multimodal matching)

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

New

Data Scientist

As part of our Client’s high-performing AI Innovation team, you’ll help design, ...

Location

United States , New York

Salary:

200000.00 - 225000.00 USD / Year

Solomon Page

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
2+ years of experience as a Data Scientist, Machine Learning Engineer, or applied AI practitioner, with a strong foundation in computer science, algorithms, and software development
Advanced programming skills in Python, with experience building production-grade systems beyond research or experimentation
Solid understanding of machine learning and applied AI concepts, with experience taking solutions from prototype to production
Hands-on experience designing, building, and deploying LLM-driven or GenAI applications, including familiarity with vector databases, embeddings pipelines, or semantic search systems
Practical experience with cloud-based deployments and infrastructure tools (e.g., AWS, Docker, GitHub) and an understanding of modern DevOps practices, containerization, orchestration, caching strategies, and cost-aware design
Strong problem-solving skills and systems thinking, with the ability to balance trade-offs across model quality, scalability, inference latency, cost, and operational complexity
Ability to interpret and implement research ideas and algorithms, actively contributing to research and development initiatives while translating them into production solutions
Excellent communication and collaboration skills, with experience working closely with product managers, engineers, and domain experts to deliver actionable technical solutions
Passion for learning and staying current with the rapidly evolving AI/ML landscape, including emerging best practices for GenAI applications

Job Responsibility

Apply strong problem-solving and critical thinking skills to break down complex, ambiguous requirements into clear, implementable technical components and system designs
Design, build, and maintain AI-powered and data-driven systems with a focus on modern language and multimodal models, including LLM-driven applications, RAG pipelines, and agentic workflows
Evaluate and productionize commercial and open-source LLMs, choosing appropriate models, tools, and techniques for each use case
Develop multi-step agentic workflows that incorporate tools, external data sources, memory, and control logic
Manage the orchestration of production LLM workflows and agentic systems, ensuring reliability and efficiency through prompt routing, state management, retries, fallbacks, and error handling
Design, test, and iteratively refine prompts and system instructions using prompt engineering and tuning techniques to improve model reliability, accuracy, and task performance
Maintain production-grade code and services with automated monitoring and performance tracking, using metrics and alerts to guide continuous improvements in models, prompts, and pipelines
Apply systems thinking to design and optimize AI and LLM systems, balancing quality, scalability, latency, cost, and operational complexity, while implementing efficiency improvements using model selection, prompt design, batching, caching, and retrieval strategies
Define and implement evaluation and observability frameworks for AI systems, including automated testing, task-specific benchmarks, regression testing for prompts, human-in-the-loop validation, and performance monitoring
Build and integrate AI models into backend systems and APIs to support both real-time and batch inference, ensuring solutions are production-ready, scalable, and efficient

Fulltime

Senior Software Engineer

Joining the CoreAI organization at Microsoft means becoming part of the team tha...

Location

United States , Redmond

Salary:

119800.00 - 261000.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field and 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Python, or equivalent experience
5+ years of software engineering experience, with significant ownership of production services, cloud platforms, distributed systems, or developer infrastructure
Strong experience building and operating containerized platforms using Kubernetes or similar orchestration systems
Strong coding skills in one or more systems or backend languages such as Python, Go, Rust, C++, C#, or Java
Experience designing reliable production APIs, backend services, or control-plane systems that manage compute, storage, networking, or runtime environments
Solid understanding of cloud infrastructure fundamentals, including identity, networking, storage, observability, capacity planning, security, and safe deployment practices
Experience diagnosing production issues using logs, metrics, traces, dashboards, and incident response processes
Demonstrated ability to lead technical design, drive ambiguous projects to completion, mentor other engineers, and collaborate across teams

Job Responsibility

Collaboration with engineers and researchers to build and optimize training infrastructure and tools for LLMs, SLMs, multimodal, and code-specific models
Design, build and improve services with high scalability and reliability
Design and implement the services to serve the prod traffic and fulfill the security and privacy requirements
Participate in efforts to deliver and improve engineering systems and practices to ensure service quality in complex cloud environments
Contribute to the deployment and monitoring of services in production environments

Fulltime

Senior Platform Product Designer

As our Senior Platform Product Designer, you will combine genuine product design...

Location

Switzerland , Rolle

Salary:

Not provided

SOPHiA GENETICS

Expiration Date

Until further notice

Requirements

A track record as a senior product or platform designer in environments where users are domain experts — clinical, scientific, or technical SaaS where workflows are genuinely complex and simplification is not the answer
A portfolio of shipped work showing product judgment: hard tradeoffs, designs evolved through validation, and clear evidence that your involvement changed what got built
Experience designing for multiple, distinct user groups within a single platform — and keeping the product coherent across them
Experience designing information-dense, data-heavy interfaces: tables, filters, multi-step clinical or scientific workflows, multimodal data views
Experience in regulated environments (HealthTech, MedTech, scientific software) is a strong advantage
Strong design system thinking
Comfortable working close to code and close to product: you can author requirements and acceptance criteria, hold a meaningful conversation with engineers about implementation constraints, and build prototypes that go beyond static mockups
Rapid prototyping fluency — including with modern AI-assisted tooling — used in service of faster clinical validation, not as an end in itself
Familiar with the engineering vocabulary of data-intensive platforms: APIs, data models, performance, security, accessibility
Genuine curiosity about the domain — clinical genomics, imaging, and real-world data are technically rich and humanly consequential

Job Responsibility

Own cross-platform design problems
Lead the design of major DDM platform workflows across the full product surface
Define and evolve the cross-surface interaction patterns that give the platform coherence
Govern and evolve the DDM design system in collaboration with engineering
Work at expert-user depth - across diverse user groups
Conduct research with users across the platform’s range
Design for appropriate complexity — not for consumer simplicity
Balance clinical workflow fidelity with IVD regulatory constraints
Build interactive prototypes to compress the time between concept and clinical feedback
Run validation sessions with clinical users, oncologists, and pharma partners early and continuously

What we offer

Sickness and Accident coverage through Helsana
Meal Vouchers at 90CHF PM with our partner cafeteria
A fun and engaging work environment, with Rest & Entertainment space, full stocked free coffee machine and free fruit/snacks
Free parking in an easy to access location
A strong social committee whose purpose is to make SOPHiA GENETICs both enjoyable as well as rewarding
As our global HQ, you’ll have direct interaction and exposure to senior leadership and our executive team locally

Fulltime

Product Manager, Enterprise

Luma has built frontier multimodal capabilities — foundation models, Canvas, and...

Location

United States , SF Bay Area

Salary:

225000.00 - 325000.00 USD / Year

Luma AI

Expiration Date

Until further notice

Requirements

Staff or Principal-level product management experience (L5/L6 seniority or above) with a track record of building enterprise products in high-ambiguity environments
You’ve built successful enterprise AI applications — especially agentic products with strong real-world adoption, not just traditional SaaS
You possess functional AI/ML fluency — not just academic. You can reason about model capabilities, evals, latency/cost tradeoffs, fine-tuning vs. prompting vs. tool use, and the shape of a frontier roadmap. You are technical enough to prototype a solution on a whiteboard with a customer’s ML team and credible enough that a research lead actually wants you in the room
You operate effectively across complex cross-functional environments involving product, engineering, research, go-to-market, and customer-facing teams
You have a general manager mindset with P&L visibility and experience — you think in terms of business tradeoffs, commercial viability, and revenue outcomes, not just product metrics
You thrive in significant ambiguity with extremely high agency and a strong self-starter mentality — this is the highest-priority trait for this role
You bring consultative PM skills and the ability to play an advisory role with enterprise customers, asking clarifying questions about needs and commercial viability rather than immediately saying yes to requests
You have a mix of large-company and earlier-stage startup experience, and can work in extremely unstructured environments with limited scaffolding
You can partner with and influence research teams in product development environments, helping ensure frontier model capabilities are shaped by market needs

Job Responsibility

Define product opportunities across enterprise segments by identifying customer profiles, workflows, jobs-to-be-done, and unmet needs in marketing, advertising, and entertainment
Translate Luma’s capabilities across models, Canvas, Agents and APIs into clear product definitions that serve real commercial customers and generate revenue
Drive cross-functional execution across research, product, engineering, go-to-market, and forward-deployed teams within a pod-based team structure
Partner directly with enterprise customers to understand requirements, validate opportunities, and shape product direction — showing up in customer meetings to represent research, product strategy, and vision
Play a consultative product role that connects customer feedback to product strategy and roadmap decisions, complementing forward-deployed engineers and creatives rather than duplicating their work
Bridge market signals back to research and product development teams, establishing feedback loops so that model prioritization and evaluation are informed by real commercial needs
Build agentic products — not just traditional SaaS — that serve clear enterprise needs and can generate revenue immediately while scaling to serve broader demand
Operate with a GM-style mindset, making product choices that align with revenue goals, commercial viability, and practical business outcomes

Fulltime

GenAI Product Leader – Agentic AI

Location

India , HYDERABAD

Salary:

Not provided

Wells Fargo

Expiration Date

Until further notice

Requirements

Overall 17+ years of industry experience including 7+ years of digital product management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Job Responsibility

Define and scale enterprise Agentic AI capabilities and their operating model, ensuring consistent, secure deployment with measurable business value
Own the product vision, roadmap, and multi-release delivery plan for agent creation, execution, and orchestration platforms, leveraging multimodal inputs, semantic understanding, and deterministic + LLM hybrid approaches
Define the end-to-end value stream from observation and insight generation through optimization and autonomous execution
Establish enterprise patterns for signal-to-workflow and signal-to-API code generation, enabling reuse and accelerated automation velocity at scale
Work directly with internal customers and stakeholders to rapidly design, build, and deploy production-grade AI systems that solve real business problems
Work closely with engineering teams and customers to turn emerging AI tools into practical, usable solutions that align with how teams actually work
Ensure deployed solutions operate safely within enterprise environments, scale reliably, and demonstrate clear, quantifiable outcomes
Translate deployment learnings into reusable patterns, standards, and platform enhancements that strengthen the broader product ecosystem
Own enterprise strategy for multimodal signal capture and insight generation, including telemetry ingestion, interaction analysis, persona configuration, clickstream processing, and structured data generation
Develop enterprise guidelines for process mapping, process mining, behavioral clustering, and insight generation to drive systematic identification of automation opportunities

Fulltime

Software Architect - Ai Platform

We are building an agentic mesh network for US healthcare, deploying multimodal ...

Location

United States , New York City

Salary:

Not provided

Armory Medical

Expiration Date

Until further notice

Requirements

5+ years building production distributed systems
You have designed, shipped, and operated infrastructure that runs at institutional scale
You've made architectural bets that held up — and learned from the ones that didn't

Job Responsibility

Define the architecture of the systems that power autonomous agent orchestration across the most critical vertical within our country
Own entire subsystems — from protocol design to production deployment — with the autonomy and accountability of a technical co-founder
Agent runtime architecture — designing the execution engine, task scheduling, state management, exception handling, and human-escalation pathways that the entire platform runs on
Multi-agent orchestration layer — the coordination primitives, tool-use frameworks, and real-time decision-making pipelines that process clinical documents, voice interactions, and multimodal healthcare data at institutional scale
Federated interoperability protocols that enforce data residency while enabling cross-entity agent collaboration
Platform abstractions — APIs, SDKs, and workflow primitives that allow both internal and external teams to deploy agents on the platform

What we offer

Top-of-market cash compensation plus significant founding-team equity

Fulltime

Senior Technical Lead (Java + ReactJs & AI)

We are seeking a backend engineering professional with strong experience in Java...

Location

Egypt , Cairo

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Experienced in backend development using Java, Spring Boot, and microservices
Confident in REST API design, API lifecycle management, and integration patterns
Familiar with AI and conversational platforms, including IBM Watson / watsonx and Microsoft Composer
Knowledgeable in IVR and telephony fundamentals within enterprise environments
Comfortable working with LLM-based systems, including RAG pipelines and agent-based architectures
Experienced in engineering practices such as CI/CD, test automation, and release management
Able to collaborate effectively with cross-functional teams, including frontend and AI engineering colleagues
Curious and adaptable, with interest in emerging areas such as real-time audio, multimodal input, and unified memory architectures

Job Responsibility

Design, develop, and maintain backend services using Java, Spring Boot, and microservices architecture
Build and manage REST APIs, applying backend-for-frontend (BFF) patterns where appropriate
Integrate AI platforms such as IBM Watson / watsonx and Microsoft Composer into enterprise-grade solutions
Support IVR and telephony integrations, ensuring reliable conversational flows across voice and digital channels
Implement LLM integration patterns, including prompt engineering, retrieval-augmented generation (RAG), and tool calling
Contribute to agent orchestration and conversational logic across distributed services
Apply observability best practices using OpenTelemetry to monitor and improve system performance
Collaborate closely with frontend teams using React and web component architectures
Embed CI/CD practices, automated testing, and structured release strategies into AI product delivery

What we offer

Exposure to large-scale, real-world AI and conversational platforms
Opportunities to work on enterprise-grade microservices within a global organisation
Collaboration with diverse, international teams across technology and transformation domains
A supportive environment that values learning, inclusion, and sustainable growth

Fulltime

Select Country

Engineering Manager, Multimodal (API)

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

Looking for more opportunities?