You will be a catalyst, willing to go deep, get technical, and drive change. You will manage customer relationships and partners as well as partner with our engineering team to solve Scale’s hardest problems.

All of this serves an ultimate goal of delivering cutting-edge agentic AI to orchestrate portfolio management for defense of the homeland.

Key responsibilities include:

• Driving innovation and transformation by diving deep into technical and operational challenges, solving undefined problems, and delivering impactful agentic AI solutions

• Transitioning AI/ML technologies and processes into working products / solutions even when requirements are undefined or ambiguous

• Partnering with Scale engineering, operations, and other public sector teams to build and deliver AI systems tailored to unique government use cases in the computer vision and generative AI domains

• Leading a cross-functional team to exceed the customer’s AI/ML objectives

• Supporting and partnering across B2B and B2G organisations to achieve the outcomes in delivering the greater layered defense for the United States

We have a diverse team with a variety of skill sets, many have:

• 5+ years of professional experience, often in a customer-facing technical program management role in industry or government.

• A proven track record in B2B or government client-facing roles and expanding client relationships

• Prior experience leading engagements with government customers

Must-haves include:

• An active TS/SCI clearance

• Minimum of 3 years of work experience leading teams / programs in industry or government

• A basic understanding of ML operations process

• A track record of structured, analytics-driven problem-solving

• Excellent verbal and written communication skills

• Willingness to travel at least 25% of the time

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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This role is ideal for someone who blends program leadership, systems-building obsession, technical fluency , and who thrives in fast-moving, ambiguous, and mission-driven environments.

As a Program Manager, you will:

Serve as the contractual and internal program lead across a large-scale public sector engagement, integrating multiple sub-efforts under one umbrella (e.g., data pipelines for computer vision, software deployments for GenAI solutions) Own relationships with senior government stakeholders and ensure that we meet contractual obligations, performance metrics, and reporting requirements Own relationships with subcontractors to ensure successful delivery of the prime contract Lead formal engagements such as contract reviews, customer program syncs, performance assessments, and reporting cycles Lead and supervise a team of 3-4 delivery managers who run day-to-day customer engagement efforts Oversee a technical delivery team that will drive product roadmap alignment that adapts evolving customer needs

Must haves:

An active TS/SCI clearance 10+ years professional experience, ideally managing complex technical programs for DoD or national security customers A proven ability to lead large, cross-functional efforts across delivery, contracts, and customer teams A healthy obsession with establishing and driving adoption of programmatic systems and processes; plus the ability to exert influence and manage associated change Familiarity with FAR-based contracts and program structures like IDIQs, task orders, and OTAs Strong business acumen with the ability to manage performance metrics, contract deliverables, and program budgets A track record of high ownership in ambiguous environments Excellent written and verbal communication skills , especially with senior government stakeholders Deep curiosity about agentic AI and its application to homeland layered defense A willingness to travel up to 25% of the time

We have a diverse team with a variety of skill sets, many have:

Proficiency in Python, SQL or other programming languages A proven track record in B2B + B2G client facing roles and expanding client relationships Prior experience delivering technical solutions to government customers Domain expertise in a relevant field (e.g. modeling and simulation, joint planning processes, intelligence workflows, etc)

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Our team is responsible for adopting Generative AI technologies to enable an intelligent, scalable, and exceptional service experience. We work closely with product, design, and other engineering counterparts to design and build efficient AI solutions for Airbnb's CS products.

As a Staff Machine Learning Engineer, you will have the opportunity to shape the direction of our AI initiatives and work on cutting-edge projects that transform Airbnb's customer service. You will be responsible for envisioning, championing, and supporting the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems.

Requirements:

• PhD/Master's degree in Computer Science or equivalent experience
• 6/9+ years of ML engineering experience with ownership responsibility over large-scale software systems
• Background in the design and development of AI and ML systems and services
• Experience with LLM driven chatbot and Agentic AI products is a plus
• Excellent communication skills and the ability to work well within a team and with teams across the engineering, product & design organizations

Our Commitment to Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services, and solutions. All qualified individuals are encouraged to apply.

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs, and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range: $204,000-$255,000 USD

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We are seeking a seasoned product marketing manager to join our team and lead the product marketing efforts for Genie, our agentic AI products for business productivity. As a key member of our marketing team, you will be responsible for developing and executing cross-channel marketing strategies to drive awareness, adoption, and engagement among business and technical buyers.

Key Responsibilities:

• Develop and execute product marketing strategies to establish Genie as a leading agentic AI solution for business productivity
• Create and manage messaging and content for both technical and business personas to drive engagement and pipeline
• Partner closely with sales teams and partner teams to build and execute GTM and enablement programs
• Build a strong portfolio of customer stories and proof points that demonstrate measurable Genie impact on business outcomes

Requirements:

• 5+ years of product marketing experience at an enterprise software company
• Experience marketing Data & AI, analytics, or AI-powered products, with a strong understanding of the AI market and technologies
• Proven track record creating messaging and content for both technical and business personas that drives engagement and pipeline
• Experience partnering closely with sales teams and partner teams to build and execute GTM and enablement programs

Pay Range Transparency:

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.

Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range.

The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range $163,400-$224,750 USD Zone 2 Pay Range $147,100-$202,300 USD Zone 3 Pay Range $139,000-$191,050 USD Zone 4 Pay Range $130,700-$179,750 USD

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Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.

As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.

Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.

Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.

Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.

Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.

The ideal candidate will have 5+ years of experience in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.

Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.

Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.

Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.

Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.

Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.

Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.

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You’ll play a critical role on a fast-growing team with the opportunity to make a significant impact in a short period of time. You will be responsible for product messaging, positioning, sales and partner enablement, new product launches, revenue planning, and collaboration with the demand generation team.

You will be the “voice to our customers” in the way we present our products and solutions to the world. Our ideal candidate will be creative, analytical, and extremely well organized, with a high-level of attention to detail.

Responsibilities:

• Be the voice to our customers and assist with the marketing of the AI and Endpoint Management capabilities in the Tanium AEM Platform.

• Support the product & solutions go-to-market plan that aligns with the revenue goals and develop marketing assets and overall execution plan in support of major launches.

• Analyze the market, buyers, trends, industry-specific problems, and competitors to create strategic positioning that differentiates Tanium in the Autonomous Endpoint Management market.

• Support the development of solutions-based sales plays.

• Identify target personas, understand their key business problems, and pain points, and articulate Tanium’s value proposition to drive desired outcomes.

• Work closely with product management, sales leadership, enablement, customer success, and marketing teams across all activities.

• Leverage strong content creation background to develop content, including sales tools, whitepapers, custom one-sheets, event collateral, and thought-leadership content.

• Collaborate with demand generation teams to execute targeted campaigns that drive pipeline.

• Partner with sales, product etc. to facilitate feedback and drive continuous improvement of the product positioning, sales enablement tools etc.

• Conduct market research, including buyer interviews to inform marketing content and create actionable insights.

• Present to customers, partners, and sales teams.

Requirements:

• 7+ years minimum experience in product marketing, solutions marketing, or outbound product management required.

• Experience supporting go-to-market plans including messaging, content, and sales enablement.

• Basic knowledge of endpoint management and security.

• A good knowledge of generative and agentic AI and how it is used to transform business processes.

• Familiarity with ITSM, SIEM, SOAR, EDR solutions a plus.

• Experience understanding technology at a deep level and ability translate to business needs concisely is required.

• Experience developing presentations to customers, sales teams, and partners preferred.

• Solid experience in positioning work and writing marketing content for complex products and/or market dynamics.

Preferred Skills:

• Strong presentation skills are required. Must be comfortable speaking in front of various audience levels.

• You are a team player, knowing how to work well cross-functionally to rally teams around team strategy and plans.

• You can balance both the art and science of marketing – having great creative intuition and an insatiable appetite for data and insights.

• Understanding of basic branding principles: brand identity, building equity, brand voice, etc. a plus.

• You possess excellent business judgment; ability to prioritize independently, overcome blockers, create clarity, and move forward even in ambiguous circumstances.

• A profound sense of ownership and accountability is required along with the ability to influence (and inspire) and sometimes skeptical audiences.

What you’ll get:

The annual base salary range for this full-time position is $95,000 to $290,000.

This range is an estimate for what Tanium will pay a new hire. The actual annual base salary offered may be adjusted based on a variety of factors, including but not limited to, location, education, skills, training, and experience.

In addition to an annual base salary, team members will receive equity awards and a generous benefits package consisting of medical, dental and vision plan, family planning benefits, health savings account, flexible spending account, transportation savings account, 401(k) retirement savings plan with company match, life, accident and disability coverage, business travel accident insurance, employee assistance programs, disability insurance, and other well-being benefits.

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This is an individual contributor role with heavy leadership expectations. You are the 'CEO of the Account', responsible for the following:

• Full-Spectrum Capture & Quota Ownership: Carry and exceed a multi-million dollar annual revenue quota.
• Tactical Execution: You don't just delegate; you execute. You will personally draft high-impact white papers, lead the development of complex proposals, architect deal structures, and navigate the nuances of defence contracting.
• Operational Transition: Once the deal is signed, your job isn't over. You will continue to lead the account, ensuring that the delivery team enables mission success.
• Renewal, Expansion, & Growth: Own the long-term account strategy. You are responsible for identifying the next use case, securing the follow-on funding, and driving the 10x growth that turns a single deployment into a department-wide enterprise standard.
• Direct Agentic Solutioning: Work in the weeds with technical teams and end-users to co-design Agentic AI workflows.
• SI & Prime Orchestration: In partnership with Scale's Partner Managers, you will actively manage and negotiate with Tier 1 Systems Integrators (SIs) and Defence Primes to ensure Scale is the agentic AI engine of their larger programmes.

You will be responsible for identifying and pursuing new business opportunities, developing and executing sales strategies, and building and maintaining strong relationships with key stakeholders.

The ideal candidate will have a strong background in sales, a deep understanding of the defence industry, and excellent communication and interpersonal skills.

This role is eligible to earn commissions.

Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.

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At Coinbase, our mission is to increase economic freedom in the world.

We're seeking a Senior Staff Software Engineer, Backend - Platform (Core Automation) to join our team.

As a member of our Core Automation team, you will be responsible for designing and implementing Agentic AI systems that power Coinbase’s customer support experience and compliance processes.

You will also design a platform (primitives, orchestration platform, tools, etc.) that would allow other domains to quickly leverage Agentic AI to automate their processes.

Interacting with stakeholders in many different organizations that build Coinbase products or are responsible for financial operations is also a key part of this role.

Participating in shaping of the strategy and execution path of Coinbase Platform is another important responsibility.

You will manage individual projects priorities, deadlines and deliverables with your technical expertise.

Mentoring and training other team members on design techniques and coding standards is also a key aspect of this role.

Writing high quality, well tested code to meet the needs of your customers is essential.

What we look for in you:

12 + years of experience in backend software engineering using Golang or similar languages

Experience getting LLM based application to production

Proven track record of delivering impactful solutions that power significant customer flows and processes

You’ve experience in architecting and developing solutions to ambiguous problems with significant impact

Strong technical knowledge of building distributed systems that process massive scale

Solid communication skills and ability to communicate to stakeholders with various technical and non-technical backgrounds

Relentless drive to set and perseverance to achieve ambitious goals

Passion for building an open financial system that brings the world together

Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to haves:

Experience with LLM and Agentic AI

Measuring and improving LLMs’ grounding to a given corpus and experience reducing hallucinations is a big plus

Experience in the customer support, compliance or financial crimes domains

Experience having made build/buy decisions

Job #: P72990

Pay Transparency Notice: Depending on your work location, the target annual base salary for this position can range as detailed below.

Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)).

Annual base salary range (excluding equity and bonus):

$253,895-$298,700 USD

Please be advised that each candidate may submit a maximum of four applications within any 30-day period.

We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying.

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You will be a catalyst, willing to go deep, get technical, and drive change. You will manage customer relationships and partners as well as partner with our engineering team to solve Scale’s hardest problems.

All of this serves an ultimate goal of delivering cutting-edge agentic AI to orchestrate portfolio management for defense of the homeland.

Key responsibilities include:

• Driving innovation and transformation by diving deep into technical and operational challenges, solving undefined problems, and delivering impactful agentic AI solutions

• Transitioning AI/ML technologies and processes into working products / solutions even when requirements are undefined or ambiguous

• Partnering with Scale engineering, operations, and other public sector teams to build and deliver AI systems tailored to unique government use cases in the computer vision and generative AI domains

• Leading a cross-functional team to exceed the customer’s AI/ML objectives

• Supporting and partnering across B2B and B2G organizations to achieve the outcomes in delivering the greater layered defense for the United States

We have a diverse team with a variety of skill sets, many have:

• 5+ years of professional experience, often in a customer-facing technical program management role in industry or government.

• A proven track record in B2B or government client-facing roles and expanding client relationships

• Prior experience leading engagements with government customers

Must-haves include:

• An active TS/SCI clearance

• Minimum of 3 years of work experience leading teams / programs in industry or government

• A basic understanding of ML operations process

• A track record of structured, analytics-driven problem-solving

• Excellent verbal and written communication skills

• Willingness to travel at least 25% of the time

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

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As the Product Manager for this 0 to 1 area, you'll build and own the platform that makes this all possible. You'll create APIs that let developers programmatically import media, run AI-powered edits, and export content. In essence, turning Descript's already powerful editing capabilities into infrastructure that media businesses can depend on.

Responsibilities

• Own the API and developer experience that lets teams create content workflows at scale
• Launch integrations that unlock new use cases: MCP wrappers, no-code workflow platforms, and strategic partner integrations
• Work closely with our Agentic AI team to influence what editing capabilities we build and how they're exposed through the API
• Define and grow this business line by shaping positioning, pricing, and go-to-market strategy with Sales and Marketing teams

Requirements

• You’ve shipped technical products before: You have 5 or more years of product management experience shipping internal APIs, developer platforms, and foundational systems that enable other teams
• You build things from scratch: Building a brand new product means venturing into the unknown, and you find that energizing rather than scary. You've taken products from 0 to 1, figured out ambiguous problem spaces, and created the playbook to make it successful.
• You start with the customer: Plenty of “AI products” start with the technology and they all suck. You care deeply about understanding customers, and have experience in doing customer discovery and defining features that solve real problems.
• You are funny, creative, maybe kind of weird: Ok, this isn’t a hard requirement but Descript is kind of a quirky place and the people who love it tend to like that about working here. So, just want to drop a hint early on. Also, the sense of humor is important because even though we take our work seriously it’s still just, like, video creation and editing. We aren’t flying rockets into space so let’s all have a good time.

The base salary range for this role is $171,000 - $235,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, and location, and may vary from the amount above.

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Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time.

More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights.

We’re now leading the shift to Agentic AI: intelligent agents that don’t just analyse conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time.

Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do. Visit dialpad.com to learn more.

Being a Dialer

At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more.

We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves.

We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level.

We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.

About the team

Dialpad’s Salesforce Integrations team plays an essential role in developing a robust layer of integrations that seamlessly connect Dialpad's products with external services, in particular Salesforce.

Our teams are highly collaborative and comprise cross-disciplinary professionals, including Product Managers, Designers, QA specialists, as well as Engineers specialising in Full-Stack Engineering, Data Engineering, Data Science, and Telephony.

Additionally, the integrations team collaborates closely with Dialpad’s Agentic AI organisation to help expand the ecosystem powering Dialpad’s AI agents.

Your role

As an Engineering Manager of the Salesforce Integrations team, you will lead a team of 6+ mid-senior full-stack engineers based in London & India.

Your role will involve closely collaborating with other engineering managers & teams also focusing on integrations to achieve alignment & efficiency whilst delivering multiple simultaneous projects with cross-functional stakeholders.

Although this is primarily a leadership position, given the current team size technical IC tasks will also be performed including system design, architecture & code reviews & AI-driven development.

This team is expected to grow in both size, scope & impact with strong potential for additional career opportunities & responsibilities.

This position reports to our Director of Engineering who is based in Canada.

Candidates are expected to be flexible with their working hours, ensuring overlap with IST and PST timezones for team meetings, discussions & escalations.

What you’ll do

• You’ll have direct reports ranging from mid-level to highly experienced engineers, and will support their performance and career growth through regular one-on-ones, performance reviews, coaching, and mentoring.

• Help to define a 1-3 year roadmap & vision for the Salesforce integrations team

• Consistently work with your direct reports to support their career growth

• Assist in evaluating technical design & architecture documents and proposals on an ongoing basis, in anticipation of increased scale and ever-evolving technology to meet the demands of rapidly growing business needs

• Work with geographically distributed peers including engineering managers, technical leaders, product managers, designers, support engineers and other stakeholders in order to align on engineering-wide priorities

• Own large projects end-to-end including requirements gathering, planning, resource allocation, and sometimes execution

• Drive effective engineering processes and policies

• Scale the team by recruiting candidates from diverse backgrounds

• Get hands-on when necessary and assist with technical implementations

• Assist with emerging Agentic AI technologies & initiatives

• Use AI coding tools for active development, reviews, testing, etc.

What we’re looking for

• 3+ years experience leading a high-performing team of engineers, including managing and shipping cross-functional or multi-team projects

• 10+ years professional experience as an engineer or engineering leader

• Experience with the development of integrations & APIs

• Hiring & interviewing skills

• Onboarding & mentorship experience

• Agentic AI experience

• Proficiency with ETL data pipelines

Why Join Dialpad

• Work at the center of the AI transformation in business communications

• Build and ship agentic AI products that are redefining how companies operate

• Join a team where AI amplifies every employee’s impact

• Competitive salary, comprehensive benefits, and real opportunities for growth

We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential.

We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection.

Our exceptional culture, repeatedly recognised as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.

Don’t meet every single requirement? If you’re excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn’t meet every qualification, we encourage you to apply.

Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.

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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.

We're building a new capability at Pinterest: embedding AI-native engineering directly inside our business functions. The AI Solutions Engineer will partner with teams across Marketing, Finance, Sales, HR, Legal, and other functions to surface high-value automation opportunities, then design and ship the AI-powered tools that bring those opportunities to life.

This is a hands-on, mid-level software engineering role for someone who is equally comfortable reading a business process flowchart and writing production-grade Python.

You'll work end-to-end , from discovery and scoping through prototyping, launch, and iteration , using the latest agentic frameworks, tool-calling patterns, and responsible AI practices.

What you'll do:

• Discover and scope AI opportunities: Partner with internal teams across corporate functions to understand their workflows, pain points, and goals, and identify high‑value AI/automation opportunities.
• Map and improve business processes: document current workflows, identify bottlenecks, and propose AI‑enabled changes that deliver clear business outcomes (e.g., time or cost savings, improved quality or compliance).
• Design end-to-end AI solutions: Design and implement AI‑enabled tools and workflows that integrate with existing systems and data sources, and that are intuitive for non‑technical users.
• Build and ship production-quality software: Write clean, maintainable code and tests.
• Pilot, rollout, and drive adoption: Pilot, roll out, and drive adoption of solutions by working closely with end‑users, gathering feedback, and iterating based on real‑world usage.
• Champion for responsible AI: Ensure solutions follow privacy, security, and compliance expectations, especially when working with sensitive or regulated data.
• Build for reuse: Create and share reusable patterns, components, and documentation to make future AI/automation work faster and more consistent across teams.
• Accelerate Workflows with Generative AI and Automation: Leverage AI to accelerate execution (e.g., draft, prototype, outline), explore alternative solutions using AI (iterate, compare approaches), synthesize information with AI (summarize, distill key themes), automate repeatable work (documentation, reporting, QA checks)

What we're looking for:

We're looking for mid-level engineers who have already shipped something real with AI , and who can work as a peer with non-technical business partners, not just as an order-taker.

Specifically, you bring:

• Software engineering foundation. A CS, Engineering, Data Science, or related degree (or equivalent experience), with demonstrated ability to build and operate production systems , backend services, internal tools, integrations, or data applications.
• Hands-on AI and automation delivery. You've shipped AI-powered or automation-driven solutions in a real environment.
• Agentic AI literacy. You understand how modern agentic systems are constructed , the difference between local and remote agents, how MCP (Model Context Protocol) works, what Agent Skills and Hooks are for, and how A2A (Agent-to-Agent) coordination is structured.
• System design and architecture thinking. You can sketch a data flow, reason about integration points, evaluate trade-offs between approaches, and design for failure , including fallbacks, retry logic, timeouts, and human escalation paths.
• Data and security judgment. You understand data access controls, the risks of giving AI broad access to sensitive information, PII minimization, audit logging, and what responsible data handling looks like in an enterprise environment.
• Business function acumen. You can engage credibly with stakeholders in Marketing, Finance, Sales, HR, Legal, or Operations , understanding their workflows, KPIs, and constraints well enough to scope solutions that fit their real needs.
• Clear, collaborative communication. You can explain architecture trade-offs to a Finance Manager and debug a prompt failure with an engineer in the same afternoon.

Preferred Qualifications:

• Experience working embedded with or alongside corporate / G&A functions (Finance, Legal, HR, Marketing, Sales Operations, or similar).
• Practical experience with agentic frameworks such as LangGraph, Claude Agent SDK, or comparable tooling.
• Familiarity with MCP server design , including building, deploying, and securing MCP-compliant tool servers.
• Experience designing and evaluating AI outputs at scale: eval sets, sampling pipelines, human-in-the-loop review queues, or A/B testing of AI-powered features.
• Exposure to responsible AI frameworks: data minimization, differential privacy concepts, model output auditing, or working in PII-sensitive / regulated domains.
• Experience with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or enterprise search integrations.
• Familiarity with CI/CD for AI: prompt versioning, model version pinning, regression testing for LLM-powered features.

Relocation Statement:

This position is not eligible for relocation assistance.

Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country.

#LI-REMOTE #LI-KBF

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Your responsibilities will include contributing to the roadmap for Applied Training, designing and building a complete research cluster experience, owning the Python SDK, and writing documentation for running popular OSS training frameworks on CoreWeave.

You'll work with infrastructure teams and customers directly, understanding how they structure their internal supercomputing stacks and bringing that knowledge back to what we build.

As a staff software engineer, you'll have 8-12+ years of experience building distributed systems, ML infrastructure, or developer platforms, with real Kubernetes experience and a passion for rigorous engineering enabled by AI-based workflows.

You'll be a good communicator, able to work with customers, translate researcher complaints into system designs, and contribute to the growth and success of our team.

If you're excited about this opportunity, please apply!

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The team develops and enhances various AI models, ML services and tools including LLM fine-tuning and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb.

You will build and leverage cutting edge AI technologies to transform Airbnb’s customer service by delivering personalized, easy-to-use and proactive customer service experience.

A typical day involves envisioning, championing, and supporting the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems.

Your expertise should include a PhD/Master’s degree, preferably in CS, or equivalent experience, and 5-12 years of ML engineering experience, with ownership responsibility over large-scale software systems.

Experience with LLM driven chatbot and Agentic AI products would be a big plus.

Excellent communication skills and the ability to work well within a team and with teams across the engineering, product & design organizations are also required.

Fluency in both English and Mandarin is essential.

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At Coinbase, our mission is to increase economic freedom in the world.

We're seeking a Data Protection Engineer (L4) to help implement and maintain our data protection capabilities, ensuring the Coinbase ecosystem remains resilient against security threats.

You will contribute to our data protection strategy, helping to balance strong security controls with the speed of a decentralized tech environment.

You will focus on automating data protection operations, utilizing tools including LLMs and agentic AI, to build scalable Data Loss Prevention (DLP) solutions.

You will work with other teams to mitigate risk and ensure compliance with global regulations.

Job Duties:

• Support and expand data loss prevention capabilities to protect Coinbase ecosystem from sophisticated data security incidents
• Support execution of the long term strategy for the Data prevention program to harden security posture against data security threats
• Implement and maintain complex designs/controls across a decentralized tech environment to promote security without impeding the speed of business
• Implement and deploy Data Protection tools and technologies in concert with cross functional teams (ie. endpoint security, information technology, and others)
• Demonstrate operational efficiency across a wide array of DLP Engineering & Operations leveraging LLMs and agentic AI
• Bring an automation first mindset to champion and drive a more streamlined and scalable approach towards DLP operations
• Produce quantitative and qualitative metrics to apprise Data Protection Leadership of programmatic impact and challenges
• Collaborate across Security and Privacy Teams and lead cross functional data protection initiatives
• Collaborate with cross functional teams like engineering, product development, compliance to ensure timely remediation
• Work in concert with risk teams to measure control effectiveness and address changes in laws/regulations globally

Requirements:

• You are an experienced security engineer in the data protection space who can deliver measurable results
• You have the technical acumen to solve operational issues with an engineering solution
• You have direct experience testing, tuning, and implementing data prevention controls across multiple OS stack
• You are comfortable manipulating and orchestrating controls to address multiple operating systems (iOS / Chrome) and decentralized datasets
• You are adept at creating scalable processes, automating where possible, and leveraging ML/AI where feasible to maximize efficiency
• You can be trusted to be discreet and thoughtful while working cross functionally to mitigate risk
• You are actively aware of the insider threat landscape, and understand the legal, regulatory, and ethical considerations of working with sensitive data across a global enterprise
• You have experience working and building Insider Threat technologies (such as Security Information Event Management - SIEM, User Behavioral Analytics - UBA, Data Loss Prevention - DLP) and an understanding of investigations and/or the intelligence cycle
• You have excellent verbal and written communication skills. Other team members ask for your input to communicate clearly and concisely and you are comfortable composing briefs and assessments consumed by leadership
• Business acumen: Proven understanding of business dynamics, goals, and product strategy. Knowledge of how Security fits into Coinbase’s overall business.
• The ability to balance business needs, a sense of urgency, conflicting constraints, and shipping high quality and pragmatic solutions in a fast-moving and quickly-growing company.
• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human‑in‑the‑loop practices to deliver business‑ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to Haves:

• 3+ years of security engineering experience solving complex security challenges across enterprise-wide DLP Programs
• Solving operational problems leveraging engineering / automation first mindset
• Experience in Web3 and crypto forward organizations or traditional financial institutions

Experience Level: senior Employment Type: full-time Workplace Type: remote Category: Engineering Industry: Technology Salary Range: $144,500-$170,000 USD Required Skills:

• Experienced security engineer
• Data protection
• LLMs
• Agentic AI
• Data Loss Prevention
• Security Information Event Management
• User Behavioral Analytics
• Insider Threat technologies

Preferred Skills:

• Generative AI tools
• Copilots
• LibreChat
• Gemini
• Glean

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More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights.

We’re now leading the shift to Agentic AI: intelligent agents that don’t just analyse conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do.

Visit dialpad.com to learn more.

Being a Dialer --------------- AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more.

We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves.

We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level.

We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.

Your role -------- As a Sr. SDET in Agentic QA, you will own the test automation and quality frameworks that support Dialpad’s AI Voice Agent services.

You will develop automated tests for end-to-end product experiences, from frontend UI to backend services to APIs to audio/text interactions.

You will test orchestration flows, agent configuration experiences, and guardian safeguards to create robust automated coverage for functionality, performance, reliability, UX, and more.

In this role, you will develop substantial amounts of automated test infrastructure and partner deeply with the development team to make our fast-growing AI platform more testable, more stable, and more delightful for customers.

This position is based at one of Dialpad’s Canadian offices and reports to a QA Eng Manager in the United States.

What you’ll do ------------

• Own end-to-end quality for agentic features and workflows, including strategy, development, execution, and release qualification.
• Design and build automation tooling and frameworks for AI/LLM-driven systems, including prompt flows, agent orchestration, and tool integrations.
• Develop and maintain evaluation frameworks (evals) to measure response quality, accuracy, and hallucination rates.
• Drive automation coverage (80%+ for critical AI workflows) using deterministic + probabilistic validation approaches.
• Integrate AI quality checks into CI/CD pipelines with fast feedback cycles (
• Build tooling for LLM observability and debugging, including prompt tracing and response analysis.
• Partner with Applied AI teams on prompt engineering, model selection, and evaluation strategies.
• Design and execute performance and load tests for AI services (latency, throughput, cost efficiency).
• Identify and mitigate risks related to hallucinations, bias, safety, and edge cases.
• Define and track AI quality KPIs (task success rates, precision/recall, latency, etc.).
• Participate in design and architecture reviews to ensure systems are testable, observable, and resilient.
• Mentor engineers and contribute to raising the bar on AI quality engineering practices.

What you’ll bring --------------

• 5+ years of experience in software engineering or SDET roles with an emphasis on software development.
• Strong programming skills in Python (preferred), Java, or JavaScript.
• Experience testing distributed, cloud-native SaaS systems and APIs.
• Demonstrated proficiency in coding with AI agents to accelerate development and improve code quality.
• Hands-on exposure to LLMs or AI/ML systems (e.g., OpenAI, Claude, Gemini, or similar platforms).
• Understanding of non-deterministic systems and probabilistic testing approaches.
• Experience building test frameworks and scalable automation systems.
• Familiarity with AI evaluation techniques (benchmarking, golden datasets, human-in-the-loop validation).
• Experience with CI/CD pipelines (e.g., Jenkins, GitHub Actions).
• Strong collaboration skills with the ability to work across distributed teams and time zones.
• Bachelor’s degree in Computer Science or equivalent practical experience.

Backend: Python, Go, Google Cloud Platform, Cloud Run / App Engine, Kubernetes, Datastore, Redis, ElasticSearch.

• Frontend: Vue3, React.
• AI Stack: LLM APIs, LiveKit, prompt orchestration frameworks, evaluation tooling.

For exceptional talent based in British Columbia, Canada the target base salary range for this position is $150,500-$175,250 CAD.

Why Join Dialpad ---------------

• Work at the center of the AI transformation in business communications.
• Build and ship agentic AI products that are redefining how companies operate.
• Join a team where AI amplifies every employee’s impact.
• Competitive salary, comprehensive benefits, and real opportunities for growth.

We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential.

We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection.

Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.

Don’t meet every single requirement? If you’re excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn’t meet every qualification, we encourage you to apply.

Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.

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Your responsibilities will include defining and driving Pinterest's technical strategy for agentic engineering, architecting and shipping production systems, reimagining Pinterest's SDLC, owning developer velocity measurement, serving as technical force multiplier across Platform, Infrastructure, and Engineering Acceleration, and driving engineering-wide adoption.

To be successful in this role, you will need 12+ years of software engineering experience with deep expertise in building developer platforms, internal tooling, or engineering infrastructure that measurably changed how engineers work at scale. You will also need demonstrated hands-on experience designing and shipping agentic AI systems in production, experience working in large-scale monorepos or complex multi-service codebases, and familiarity with agentic development best practices.

As a key technical advisor and delegation point, you will work with the Sr. Director, Engineering Acceleration, VP, Infrastructure, and Chief Architect to shape investment priorities and multi-year technical direction. You will also serve as a trusted partner and primary delegation point for the hardest technical questions facing this organization.

This is a startup-within-a-company opportunity, with a charter that is ambitious, problems that are largely unsolved, and systems that you will build will define how an entire engineering organization operates for years.

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At Cloudflare, we're on a mission to help build a better Internet. We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code.

As a Senior Security AI Engineer, you will be the technical architect for our Agentic AI roadmap. Your mission is to move beyond simple automation scripts and build a fleet of 'AI Team Members',intelligent helper agents that execute complex security algorithms, process flows, and assessment logic.

Responsibilities

• Agent Architecture: Design and deploy multi-agent systems that follow complex security algorithms and assessment flows to automate manual SOC and Assurance tasks.

• Skill Engineering: Standardize agent capabilities by creating and maintaining skills.md files and specialized Markdown documentation that define agentic personas and execution boundaries.

• Workflow Training: Train and fine-tune LLMs to function as 'helper agents' capable of executing autonomous AI workflows as integral members of the Security Engineering team.

• Infrastructure as Agents: Utilize Cloudflare Workers, Vectorize, and AI Gateway to build serverless, low-latency agentic architectures for real-time traffic analysis and remediation.

• Autonomous Assessment: Build and scale the engine for autonomous vendor security reviews and M&A assessments, transforming qualitative data into quantitative risk insights.

Requirements

• Experience: 4+ years in Information Security or Software Engineering, with at least 1+ years focused on AI Engineering, Agentic AI, or Advanced Automation using Opencode

• AI Expertise: Deep understanding of LLM orchestration, prompt engineering, and building agentic loops (e.g., LangChain, AutoGen, or custom frameworks).

• Agent Development: Proven ability to create agents from structured definitions (skills.md) and automate tasks that follow strict process/algorithmic flows.

• Cloudflare Ecosystem: Expert knowledge of Cloudflare Workers, KV, Durable Objects, and R2. Experience with Cloudflare AI tools is a significant plus.

• Languages: Mastery of Windsurf, Opencode or Rust.

• Security Domain: Strong grasp of Cyber Security fundamentals, including SIEM/SOAR logic, UEBA, and risk assessment frameworks.

Preferred Qualifications

• Experience building custom Agentic AI solutions that have replaced enterprise-grade 3rd party security software.

• Background in M&A Security Due Diligence or Vendor Risk Management automation.

• Prior experience building edge-based security products or AI-driven log-push integrations.

• Certifications: CISSP or specialized AI/Machine Learning certifications.

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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.

The Solutions Engineer Team

We believe Solutions Engineers at Okta are involved in all stages of the customer's digital transformation. Solutions Engineers are experienced in using presentations, email, phone, and social media to connect with customers virtually and in person. We are looking for great teammates who can build and deliver sales presentations and customised product demonstrations to educate Okta's Customers (from developers to product managers to C-level executives) on best practices throughout their cloud security technology journey.

We believe Okta's Solutions Engineers empathise with Customers and quickly discern their true technical needs by asking detailed, clarifying questions while presenting solutions that specifically address those needs. Okta Solution Engineers have the rare combination of technical acumen and business insight; in a career where you can utilise both.

As a Solutions Engineer at Okta, you will further develop each of these skills by advising a diverse set of customers on the value they will gain by using Okta's Identity Platform.

The Solutions Engineer Opportunity

Reporting to the Senior Manager, Solutions Engineering, the Solutions Engineer is a functional business consultant who will partner with Commercial Account Executives and have a passion for technology and the advanced ability to develop, position, and demonstrate product-specific solutions during sales cycles, while achieving quarterly and annual sales goals for an assigned territory.

What you'll be doing

• Work alongside the Corporate/Expansion (employee size 300-1249) sales team as the technical and domain expert of a customer-facing sales team to help Customers understand the value of Okta's solutions

• Understand customer challenges and business issues, and provide product demonstrations to align our solutions with customer needs

• Answer product feature and technical questions from customers, partners, and Okta colleagues

• Plan and deliver Proof Of Concepts for customers who have more complex use cases, collaborating with other Okta engineering teams as needed

• Provide feedback to product management about product enhancements that can address customer needs and provide additional value

• Share and learn best practices and reusable assets with other Solutions Engineers to enhance the quality and efficiency of the team

• Stay current on competitive analysis and market differentiation

• Support marketing events, including executive briefings, conferences, user groups, and trade shows

What you'll bring to the role

• 5+ years of pre-sales engineering experience, selling SaaS products

• A passion to serve the Customer, demonstrated in a customer-facing role, such as consulting or support, but ideally in a pre-sales capacity

• An ability to quickly communicate complex ideas around a technical topic, ideally on the fly, using a whiteboard

• Experience with at least one standard network security protocol. (eg. OAuth, OAuth2, SAML, LDAP)

• Hands-on experience in one or more of the following areas: web (JavaScript, HTML, frontend frameworks) development, mobile (iOS, Android) development, backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications

• An understanding of core security concerns within a typical application. (password hashing, SSL/TLS, encryption at rest, XSS, XSRF)

• Exceptional communicator

• Confidently dispensing knowledge to highly-skilled and experienced audiences

• Typically, 25% travel

• A bachelor's degree in Engineering, Computer Science, MIS, or a comparable field is preferred

You might also have (not mandatory)

• AI & Emerging Tech: Expertise with Agentic AI and LLM-based workflows. You understand the use cases for AI agents, both internal and external, and have familiarity with MCP servers

• Diagramming experience for user journey flows, complex architecture diagrams, etc.

• Experience in the IAM space

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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.

The Solutions Engineer Team

We believe Solutions Engineers at Okta are involved in all stages of the customer's digital transformation. Solutions Engineers are experienced in using presentations, email, phone, and social media to connect with customers virtually and in person. We are looking for great teammates who can build and deliver sales presentations and customised product demonstrations to educate Okta's Customers (from developers to product managers to C-level executives) on best practices throughout their cloud security technology journey.

We believe Okta's Solutions Engineers empathise with Customers and quickly discern their true technical needs by asking detailed, clarifying questions while presenting solutions that specifically address those needs. Okta Solution Engineers have the rare combination of technical acumen and business insight; in a career where you can utilise both.

As a Solutions Engineer at Okta, you will further develop each of these skills by advising a diverse set of customers on the value they will gain by using Okta's Identity Platform.

The Solutions Engineer Opportunity

Reporting to the Senior Manager, Solutions Engineers, this Senior Solutions Engineer (Okta) will partner with Commercial Account Executives. As a Senior Solutions Engineer at Okta, you will be the technical lead in all stages of the customer lifecycle. You will focus on delivering customer value by aligning customer requirements to business results enabled by Okta solutions. You will contribute to account and opportunity strategies and, collaboratively, demonstrate the value of Okta solutions through presentations, whiteboard sessions, and proof-of-concept demonstrations.

What You'll Do

As a Senior Solutions Engineer, you'll be a strategic technical expert for a customer-facing sales team. You'll use your skills to:

• Work alongside the Corporate/Expansion (employee size 300-1249) sales team as the technical and domain expert of a customer-facing sales team to help Customers understand the value of Okta's solutions

• Serve as a technical advisor: Partner with the sales team to educate customers on Okta's identity solutions and demonstrate their value.

• Solve customer challenges: Understand customer needs and provide tailored product demonstrations to show how our solutions can solve their business problems.

• Lead technical engagements: Answer product and technical questions, and plan and deliver complex Proofs of Concept (POCs) by collaborating with other Okta engineering teams.

• Drive product and knowledge growth: Share customer feedback with our product teams to influence future enhancements and contribute to the team's knowledge by sharing best practices and reusable assets.

• Stay ahead of the curve: Keep up with competitive analysis and market differentiation to better position Okta.

• Support company events: Represent Okta at marketing events, including conferences, user groups, and trade shows.

What You'll Bring

• Experience: 8+ years of experience in pre-sales engineering and solution selling, with a strong background in Enterprise account segments.

• Technical Acumen:

• Deep understanding of identity protocols (e.g., SAML, OIDC, OAuth, FIDO, Passkeys, SCIM, LDAP).

• Working knowledge of cloud platforms like AWS, Azure/Entra, and GCP.

• Experience with REST APIs and SDKs.

• Hands-on experience in one or more of the following: front-end web development, back-end development, scripting (Bash, PowerShell), or DevOps (Docker, Kubernetes).

• Understanding of identity-related cybersecurity topics (e.g., phishing, MFA bypass attacks, privilege escalation).

• Communication & Presentation Skills: The ability to simplify complex technical concepts and deliver compelling presentations to diverse audiences, from developers to C-level executives. You should be skilled at diagramming user journeys and complex architecture.

• Strategic Mindset: Proven skills in territory management, including building pipelines and collaborating with sales counterparts.

• Travel: Ability to travel up to 25% of the time.

• A bachelor's degree in Engineering, Computer Science, MIS, or a comparable field is preferred.

Bonus Skills (Ideally, You Have)

• Experience in the IAM space

• Hands-on knowledge of Identity Governance (IGA) or Privileged Access Management (PAM) solutions.

• Practical experience with Windows Server, Active Directory, LDAP, and Federation services.

You might also have (not mandatory):

• AI & Emerging Tech: Expertise with Agentic AI and LLM-based workflows. You understand the use cases for AI agents, both internal and external, and have familiarity with MCP servers.

#LI-Remote #LI-CM

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Key responsibilities include:

• Comprehensive discovery: Understanding the requirements of customers and prospects in the context of their desired business outcomes.
• Deal progression: Working in close partnership with the sales team to progress opportunities.
• Manage technical sales progression from discovery to technical win.
• Building sales presentations, product demonstrations and educating customers (everyone from developers to product managers to C-level executives) on the best ways to cloud security technology.
• Have a hands-on approach to solution validation, such as building and delivering custom demonstrations, supporting customer-led PoCs etc.
• Empathising with customers and quickly discern their true technical needs by asking detailed and clarifying questions and presenting solutions that target those needs.

Requirements include:

• Experience working in a Pre-Sales role as Sales Engineer or Solutions Engineer.
• An ability to quickly articulate complex ideas around a technical topic, ideally on the fly at a whiteboard.
• Experience in a customer-facing role such as consulting, support, teaching, or pre-sales.
• Experience with at least one standard identity protocol (e.g. OIDC, OAuth2, SAML, LDAP).
• Strong development background with proficiency in at least one backend stack (e.g., Java, C#, Node.js, Python, PHP, Ruby) and a popular frontend stack (e.g., React, Angular, Vue).
• Experience working with REST APIs and SDKs.
• An understanding of core security concerns within a typical application (password hashing, SSL/TLS, encryption at rest, XSS, XSRF).
• Excellent communication skills and an ability to articulate business value.
• An ability to disperse knowledge to a highly skilled and experienced audience.
• A natural at building relationships, listening, and managing time well.
• Enjoy traveling and meeting customers.

Bonus points if you have experience in any of the following:

• Experience with Identity & Access Management, Single Sign-on and API-based solutions.
• An understanding of Agentic AI and the role that Identity plays in enforcing continuous oversight.
• Experience in mobile (iOS, Android) development.
• Experience working with HTTP, HTML, and REST services.

The role is based in Tel Aviv and the expectation will be that you will spend 2-3 days a week either meeting with prospective customers, existing customers, or collaborating with the team in the Office.

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You will be at the forefront of our efforts to build and scale an industry-leading AI assurance program. While your initial focus will be on leveraging agentic AI to transform SOX testing, you'll have opportunities to impact cross-functional areas including security, platform regulatory risks and non-financial metrics.

Key responsibilities include:

• Architect and scale our SOX compliance program by designing, developing, and maintaining AI-driven testing that enhances accuracy, provides real-time insights, and reduces manual overhead.
• Spearhead the testing of internal controls using agentic AI systems to identify and mitigate potential threats.
• Partner closely with Engineering, IT, and business teams to integrate our AI automation with internal systems, enabling end-to-end automated assurance workflows.
• Serve as a subject matter expert and champion for the use of AI and automation in risk management.
• Contribute to a culture of innovation and excellence within the Risk Advisory and Assurance team.

Requirements include:

• 2 to 4 years of experience in a Big 4 accounting firm, internal audit, and/or compliance function with a demonstrated passion for technology and automation.
• Subject matter expertise in SOX and/or security compliance testing in the technology industry, preferably platform companies.
• Self-motivated, results-oriented technology-first thinker with a proactive and creative approach to problem-solving.
• Collaborator with a strong work ethic and enthusiasm for learning, who thrives in a fast-paced, dynamic environment.

Preferred qualifications include:

• Professional certifications such as CISA, CPA, CIA, and/or CISSP.
• Hands-on experience leveraging AI tools and prompting.
• Familiarity with programming languages such as SQL and Python.

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As a senior technical individual contributor, you will partner closely with our leaders across the broader technical organization to design, execute and deliver in a complex and collaborative roadmap of Trust engineering efforts.

Your expertise will be crucial in defining and executing on the long-term ML technical vision and strategy for the Trust organization, identifying key investments, architecting scalable solutions, and championing best practices that advance the state-of-the-art in production ML systems.

You will serve as a technical leader and mentor to other ML and software engineers across the organization, providing guidance on complex architectural and modeling challenges, and raising the overall technical bar.

Key responsibilities include:

• Defining and executing on the long-term ML technical vision and strategy for the Trust organization
• Serving as a technical leader and mentor to other ML and software engineers across the organization
• Driving and delivering large-scale, multi-quarter ML initiatives that span multiple teams
• Working with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases
• Collaborating with cross-functional partners to identify opportunities for business impact and understand, refine, and prioritize requirements for machine learning models

Requirements include:

• 12+ years of industry experience in applied Machine Learning
• 2-3+ years working with LLMs and novel GenAI technologies
• Proficiency and proven experience on Agentic AI (frameworks, orchestration, architecture and productionization)
• A Bachelor’s, Master’s or PhD in CS/ML or related field
• Strong programming (Scala / Python / Java/ C++ or equivalent) and data engineering skills
• Deep understanding of Machine Learning best practices, algorithms, and domains
• Experience with AgenticAI, Tensorflow, PyTorch, Kubernetes, and industry experience building end-to-end Machine Learning and Agentic infrastructure

Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions.

How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range $244,000-$305,000 USD

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Senior Business Solutions Engineer, BizTech

Job Description

We are seeking a world-class Senior Business Systems Engineer to join our dynamic team. As a Senior Business Solutions Engineer, you will be responsible for providing quick solutions utilizing internal tools and agentic AI to support and assist teams in enhancing their day-to-day workflows. You will oversee the end-to-end delivery of system and tool changes as required, and provide support to those solutions.

Your expertise will help identify current pain points for stakeholders, promote industry best practices, and maintain data integrity and accuracy within our platforms. You will also play a crucial role in mentoring junior team members, driving strategy, and delivering results with excellence.

A high degree of focus on practical AI and understanding the current state of industry as AI technology changes is critical.

Responsibilities

Product Roadmap Ownership

Lead the design, development, implementation, and optimization of custom solutions to improve internal teams' processes and workflows, with a focus on Agentic AI solutions utilizing Airbnb-approved internal tools.

Stakeholder Management

Identify and address current pain points, socialize industry best practices, and prioritize project pipelines in collaboration with stakeholders.

Automation

Identify and drive automation initiatives to reduce manual processes and improve operational efficiency across core business functions.

Vendor Management

Partner with our vendors to drive and own the product feature and bug lifecycle from requirements gathering to launch.

Industry Trends

Stay updated with the latest platform features, best practices, and industry trends to proactively identify opportunities for enhancements.

Business Process Improvement

Craft and suggest future-state business processes, and lead the implementation of these suggestions.

Expertise and Mentorship

Act as a company-wide expert in relevant functional tools and applications. Mentor junior team members and provide guidance on development and delivery.

Architecture and Design Reviews

Collaborate on architecture and design reviews, offering necessary guidance to ensure development guidelines are followed.

Requirements

Experience

8+ years of professional experience with proven enterprise-grade systems implementations, IT consulting, or similar field leveraging advanced platform integrations Minimum of 2 years of experience demonstrably using AI in workflows and to support customers Experience researching and implementing custom applications from the Marketplace from research, to design and implementation Advanced degree (e.g., MS/MBA) in Business, Computer Science, or related fields preferred Demonstrated experience designing and implementing custom business solutions and integrations using enterprise platforms Deep knowledge of data modeling, business intelligence tools (e.g., Tableau), and enterprise reporting best practices Skilled at stakeholder engagement and cross-functional collaboration in large global organizations Adept at leading complex projects, simplifying technical concepts, and promoting operational excellence Excellent written and verbal communication skills, especially in critiquing technical designs and leading workshops, and engaging with senior leadership Exemplifies strong leadership fundamentals, guides junior team members, and drives strategy with a focus on long-term scalability Proficient in designing and implementing data management strategies to ensure data integrity Identifies opportunities for product and process improvements and can lead and implement said improvements, obtaining necessary buy-in from stakeholders and leadership

Preferred Qualifications

Advanced degree (e.g., MS/MBA) in Business, Computer Science, or related fields

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In this role, you will lead the team that designs and implements automated workflows, data pipelines, and integrations that transform manual compliance processes into scalable engineering systems. This is a greenfield opportunity to establish the team, architecture, and integrations that will define how we approach governance, risk, and compliance at Anthropic.

The core challenge is a data problem: compliance information lives across dozens of systems,cloud infrastructure, identity providers, HR platforms, ticketing tools, code repositories,and your job is to design systems that bring it together, normalize it, and make it actionable.

Success in this role comes from understanding how systems connect and how data flows between them, not from writing code yourself. At Anthropic, you'll also have a unique advantage: the ability to design AI-powered workflows where Claude acts as an extension of your team, handling tasks that would traditionally require additional headcount or manual effort.

You'll need ingenuity to identify where agentic AI can accelerate evidence collection, interpret unstructured data, triage compliance gaps, and augment human judgment in risk assessments. Working closely with Security, IT, and Engineering teams, you'll translate compliance and regulatory requirements into solutions that support audit programs including SOC 2, ISO, HIPAA, and FedRAMP, building systems that combine traditional automation with AI capabilities to achieve scale that wouldn't otherwise be possible.

Responsibilities:

• Lead the team that establishes foundational GRC processes and architecture.
• Design and build automated workflows for risk management and compliance, creating scalable systems that enable continuous monitoring as Anthropic grows.
• Build data pipelines that aggregate risk, control, and asset information from across our technology stack.
• Inform GRC platform strategy and implementation: in partnership with other programs, evaluate, select, and deploy tooling that meets our compliance requirements.
• Translate written policies and compliance requirements into policy-as-code,working with Engineering and Security teams to express requirements as enforceable rules, automated checks, and continuous validation rather than static documents.
• Establish feedback loops between policy and implementation: surface where technical controls diverge from written requirements, identify where policies need to evolve based on infrastructure realities, and ensure that compliance requirements are expressed in terms engineers can act on.
• Design and deploy agentic AI workflows that extend team capacity, using Claude to serve as a virtual GRC analyst to automate evidence analysis, monitor control effectiveness, draft audit responses, interpret policy documents, and handle other tasks that require reasoning over unstructured information.
• Design and maintain integrations connecting GRC tooling with cloud infrastructure, identity management systems, HRIS platforms, ticketing systems, version control, and CI/CD pipelines,working with engineers to implement integrations that enable automated evidence collection and continuous compliance validation.
• Build and lead an AI-forward GRC engineering function as we scale: hiring team members, establishing practices, and defining the technical roadmap for governance and compliance automation at Anthropic.

Requirements:

• 12+ years of total experience and 3-4+ years of experience managing technical individual contributors or systems-focused teams, with a proven track record of building or scaling small teams (2-5 people) in security, compliance, automation, or operations functions.
• A systems thinker first. You understand how complex environments work: how data flows between systems, where integration points exist, what breaks when systems don't talk to each other.
• 5+ years of experience designing automated workflows, data pipelines, or system integrations, whether through traditional development, low-code platforms, GRC tools, or process automation.
• A relentless focus on data integration: you understand how to pull data from multiple sources, normalize it, join it meaningfully, and surface insights.
• Strong analytical and problem-solving skills with attention to detail necessary for compliance work, balanced with pragmatism about risk-based prioritization in fast-paced environments.

Nice to Have:

• Experience designing or implementing AI-powered automation, agentic workflows, or LLM-based tooling in operational contexts.
• Experience with GRC platforms such as ServiceNow GRC, Vanta, Drata, OneTrust, RSA Archer, or similar tools including configuration, customization, and integration capabilities.
• Familiarity with scripting languages (Python or similar) for automation tasks, API interactions, and data transformation.
• Prior experience in high-growth startup environments demonstrating ability to build scalable processes and adapt quickly to changing requirements and priorities.
• Familiarity with Infrastructure as Code tools (Terraform, CloudFormation, Ansible) and DevSecOps practices including CI/CD pipeline integration and policy-as-code implementations.
• Familiarity with cloud platforms (AWS, GCP, Azure) and an understanding of how compliance-relevant data can be extracted from their APIs and logging systems.

Deadline to Apply: None, applications will be received on a rolling basis.

Annual Compensation Range: $405,000-$405,000 USD

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Zuma is pioneering the future of agentic AI and our focus is to transform the rental market experience for consumers and property managers alike. Our innovative platform is engineered from the ground up to boost operations efficiency and enhance support capabilities for property management business across the US and Canada, a ~$200B market.

Off the back of our Series-A in early 2024, Zuma is scaling rapidly. Achieving our vision requires a team of passionate, innovative individuals eager to leverage technology to redefine customer-business interactions. We're on the hunt for exceptional talent ready to join our mission and contribute to building a groundbreaking technology that reshapes how businesses engage with customers.

As a Staff Engineer, you will:

Help define how humans collaborate with intelligent systems in one of the largest and most underserved industries in the world: property management. You’ll shape the technical foundation of a platform that is not just supporting human workflows, but executing them autonomously through AI agents. This is a rare opportunity to influence how an entire industry evolves, building tools that transform repetitive operational tasks into seamless, intelligent experiences.

Your work will directly contribute to how trust is built between humans and machines, how operations scale without added headcount, and how residents and staff experience a new, AI-powered standard of service. We’re not just building software we’re designing AI that people want to work with. Delightful, trustworthy, and deeply effective.

Join us to help lead the AI revolution in multifamily, drive meaningful real-world impact, and be part of reimagining what work can feel like when done side-by-side with intelligent agents.

You will be a cornerstone of our engineering organization, reporting to the VPE. This is a pivotal role where you'll lead critical system rewrites, architect scalable foundations for our AI platform, and establish the technical standards that will shape our engineering culture for years to come.

You'll work at the intersection of cutting-edge LLM technology and practical business applications, creating sophisticated systems that power our AI leasing agent while building self-serve experiences that enable rapid customer onboarding.

As our first US-based engineer, you'll bridge the gap between our product vision and technical implementation. This role offers a rare opportunity to directly influence how we architect the next generation of our platform.

You'll tackle projects like rebuilding our onboarding/configuration system to be self-serve, creating robust analytics infrastructure to measure AI performance, and reimagining our integration framework to connect seamlessly with customer systems.

Your work will significantly reduce manual engineering overhead while enabling rapid scaling of our customer base.

We're looking for a Staff Engineer to help us bring that future to life. This is not just another dev role. You'll be hands-on shaping the technical DNA of Zuma. You'll architect critical systems, tame legacy code, build net-new AI-powered experiences, and lay down the patterns future engineers will inherit.

If you're obsessed with building real products people use, especially products powered by LLMs, this might be your playground.

Why This Could Be Your Dream Role

• You'll work directly with cutting-edge LLM technology in a real-world application
• You want to work at a company where customers feel your impact every day
• You'll architect AI-powered systems that are transforming the real estate industry
• You'll have autonomy to design and implement innovative technical solutions
• Your work will directly impact thousands of apartment communities and millions of renters
• You'll receive significant equity in a venture-backed company with strong traction
• As we scale, your role and influence will grow with the company

Why You Might Want to Think Twice

• This is a demanding role that will often require extended hours and deep commitment
• As a founding team member, you'll need to wear multiple hats and step outside your comfort zone
• You'll need to make thoughtful tradeoffs between innovation and immediate needs
• You'll interact directly with customers to understand their needs and occasionally travel to their offices
• We're a startup - priorities can shift rapidly as we respond to market opportunities and customer needs
• If you're not comfortable getting your hands dirty with legacy code or speaking directly with customers, this isn't the job for you

Responsibilities

• Lead critical system rewrites to transform our architecture into a highly scalable, resilient foundation
• Own the design and performance optimization of our data storage systems, ensuring they scale with customer and AI demands
• Build and evolve our deployment pipelines, enabling reliable, automated releases for AI-first products
• Set up and manage modern cloud infrastructure from scratch, leveraging Infrastructure as Code (IaC) to ensure consistency, security, and scalability
• Establish engineering best practices, including observability, incident response processes, and system hardening for an AI-first platform
• Drive robust analytics and monitoring to track performance, reliability, and the effectiveness of our AI solutions
• Mentor engineers and elevate the team's capabilities across infrastructure, scalability, and AI product development

Your Experience Looks Like

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field
• 5+ years of experience building production-grade software systems, with a focus on scalability, performance, and reliability
• Proven expertise in backend development with Node.js, including API design, system architecture, and cloud-based services
• Experience with cloud infrastructure (AWS, GCP, or similar) and deploying production systems using Infrastructure as Code (e.g., Terraform, Pulumi)
• Hands-on experience with database design, performance tuning, and scaling high-throughput data systems
• Familiarity with building and maintaining CI/CD pipelines, automated testing, and modern DevOps practices
• Strong communication skills and ability to work effectively in a distributed, fast-paced environment
• Comfortable operating in early-stage, high-ownership environments with evolving requirements
• Bonus: Experience with React and TypeScript on the frontend, though this role leans backend/infrastructure
• Bonus: Exposure to LLM-based systems, AI infrastructure, or agentic AI workflows

Guiding Principles

• Customer‑First Outcomes

Every commit should trace back to resident or operator value. Whether it’s a new feature, infra investment, or AI capability, if it doesn’t solve a real problem, it doesn’t ship.

• Bias for Simplicity

We favor composable primitives over clever abstractions. Open standards, clean APIs, and clear contracts win over custom complexity, even if the custom version is cooler.

• Quality Is a Gate, Not an After‑Thought

Quality is built-in from day one. Our definition of done includes: test coverage, performance checks, basic observability, and internal docs. Shipping fast doesn’t mean skipping craftsmanship.

• Data‑Driven Choices

We use data to guide, not paralyze, our decision-making. We track leading indicators (cycle time, defect rate, NPS) and lagging signals (retention, revenue impact). We keep instrumentation lightweight but meaningful signal over spreadsheet.

• Transparency & Written Culture

Good ideas don’t expire in Zoom. We operate in public i

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Zuma is pioneering the future of agentic AI and our focus is to transform the rental market experience for consumers and property manager alike. Our innovative platform is engineered from the ground up to boost operations efficiency and enhance support capabilities for property management business across the US and Canada, a ~$200B market.

As a Staff Engineer, you will help define how humans collaborate with intelligent systems in one of the largest and most underserved industries in the world: property management. You’ll shape the technical foundation of a platform that is not just supporting human workflows, but executing them autonomously through AI agents.

This is a rare opportunity to influence how an entire industry evolves, building tools that transform repetitive operational tasks into seamless, intelligent experiences. Your work will directly contribute to how trust is built between humans and machines, how operations scale without added headcount, and how residents and staff experience a new, AI-powered standard of service.

Delightful, trustworthy, and deeply effective. Join us to help lead the AI revolution in multifamily, drive meaningful real-world impact, and be part of reimagining what work can feel like when done side-by-side with intelligent agents.

You will be a cornerstone of our engineering organization, reporting to the VPE. This is a pivotal role where you'll lead critical system rewrites, architect scalable foundations for our AI platform, and establish the technical standards that will shape our engineering culture for years to come.

You'll work at the intersection of cutting-edge LLM technology and practical business applications, creating sophisticated systems that power our AI leasing agent while building self-serve experiences that enable rapid customer onboarding.

As our first US-based engineer, you'll bridge the gap between our product vision and technical implementation. This role offers a rare opportunity to directly influence how we architect the next generation of our platform.

You'll tackle projects like rebuilding our onboarding/configuration system to be self-serve, creating robust analytics infrastructure to measure AI performance, and reimagining our integration framework to connect seamlessly with customer systems.

Your work will significantly reduce manual engineering overhead while enabling rapid scaling of our customer base.

Why This Could Be Your Dream Role

• You'll work directly with cutting-edge LLM technology in a real-world application
• You want to work at a company where customers feel your impact every day
• You'll architect AI-powered systems that are transforming the real estate industry
• You'll have autonomy to design and implement innovative technical solutions
• Your work will directly impact thousands of apartment communities and millions of renters
• You'll receive significant equity in a venture-backed company with strong traction

Why You Might Want to Think Twice

• This is a demanding role that will often require extended hours and deep commitment
• As a founding team member, you'll need to wear multiple hats and step outside your comfort zone
• You'll need to make thoughtful tradeoffs between innovation and immediate needs
• You'll interact directly with customers to understand their needs and occasionally travel to their offices
• We're a startup - priorities can shift rapidly as we respond to market opportunities and customer needs
• If you're not comfortable getting your hands dirty with legacy code or speaking directly with customers, this isn't the job for you

Responsibilities

• Working closely with our product team to translate customer needs into technical solutions
• Creating intelligent configuration interfaces that allow our AI to adapt to customer needs
• Designing and implementing integration frameworks connecting our AI with customer systems
• Establishing modern engineering practices and infrastructure for an AI-first product
• Implementing robust analytics to measure and improve our AI's effectiveness
• Leading the development of innovative features that push the boundaries of AI in real estate
• Mentoring engineers and elevating the team's capabilities with LLM technologies

Your Experience Looks Like

• Strong people leadership experience and bias for action
• Must have hands-on experience in architecting, designing and implementing agentic AI systems
• Very strong experience in architecting and implementing scalable agentic systems
• Hands-on experience using at least one agentic framework and familiarity with other agentic frameworks
• Hands-on experience using cutting edge LLM, fine-tuning LLM and integrating them in production grade software used by real users
• Proven track record in fast-paced startup environments and collaborating with global teams
• Must have expertise in React and Python or Node.js
• Knowledge of ML, AI, LLMs

Guiding Principles

• Customer‑First Outcomes
• Bias for Simplicity
• Quality Is a Gate, Not an After‑Thought
• Data‑Driven Choices
• Transparency & Written Culture

Other Benefits

• Great health insurance, dental, and vision
• Gym and workspace stipends
• Computer and workspace enhancements
• Unlimited PTO
• Company off-sites with the team
• Opportunity to play a critical role in building the foundations of the company and Engineering culture

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You'll help property managers succeed with our AI platform while also driving continuous improvements in our internal tools and processes.

Responsibilities: Lead critical system rewrites to transform our architecture into a highly scalable, resilient foundation Own the design and performance optimization of our data storage systems, ensuring they scale with customer and AI demands Build and evolve our deployment pipelines, enabling reliable, automated releases for AI-first products Set up and manage modern cloud infrastructure from scratch, leveraging Infrastructure as Code (IaC) to ensure consistency, security, and scalability Establish engineering best practices, including observability, incident response processes, and system hardening for an AI-first platform Drive robust analytics and monitoring to track performance, reliability, and the effectiveness of our AI solutions Mentor engineers and elevate the team's capabilities across infrastructure, scalability, and AI product development

Your Experience Looks Like: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field 3+ years of experience building production-grade software systems, with a focus on scalability, performance, and reliability Proven expertise in backend development with Node.js, including API design, system architecture, and cloud-based services Experience with cloud infrastructure (AWS, GCP, or similar) and deploying production systems using Infrastructure as Code (e.g., Terraform, Pulumi) Hands-on experience with database design, performance tuning, and scaling high-throughput data systems Familiarity with building and maintaining CI/CD pipelines, automated testing, and modern DevOps practices Strong communication skills and ability to work effectively in a distributed, fast-paced environment Comfortable operating in early-stage, high-ownership environments with evolving requirements Bonus: Experience with React and TypeScript on the frontend, though this role leans backend/infrastructure Bonus: Exposure to LLM-based systems, AI infrastructure, or agentic AI workflows

Guiding Principles: Customer‑First Outcomes Bias for Simplicity Quality Is a Gate, Not an After‑Thought Data‑Driven Choices Transparency & Written Culture

Other Benefits: Great health insurance, dental, and vision Gym and workspace stipends Computer and workspace enhancements Unlimited PTO Opportunity to play a critical role in building the foundations of the company and Engineering culture

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In this fast-paced, constantly evolving environment, you'll go beyond standard reporting,you'll analyze data, surface insights, and proactively engage with cross-functional teams across engineering, operations, and program management to deliver meaningful financial intelligence. Your work will support program performance and contribute to the continued growth of a critical business area.

The ideal candidate brings experience in financial modeling, operational finance, and data analysis, along with a foundational understanding of US GAAP, government contracting, and hardware-oriented environments. Strong technical skills are table stakes – success in this role depends on your ability to apply them to influence decisions and drive results. If you're detail-oriented, intellectually curious, and motivated to make an impact, we want to hear from you.

Key responsibilities include owning financial visibility and performance for assigned programs, building and maintaining financial models, analyzing financial and operational data, and communicating insights to stakeholders. You'll also build strong relationships with Program Management and Engineering teams to ensure financial considerations are embedded in program decisions.

Success in this role means becoming a trusted partner to program and engineering leads, identifying and surfacing financial risks early, and improving visibility into program performance where data and processes are incomplete or evolving.

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The ideal candidate will bring strong experience in the U.S. defense sector, including familiarity with government contracting dynamics, while also operating effectively in a fast-paced, software-driven environment.

Key responsibilities include: Forecasting company orders, revenue, and cash flow with accuracy and insight, incorporating government contract structures, funding profiles, and award timing. Preparing and delivering executive-level reports, clearly articulating financial performance, program health, and strategic implications. Supporting preparation and review of executive and board-level materials, including program-level performance reporting. Monitoring and tracking budget performance at the Business Unit and program/contract level, highlighting key variances and actionable insights. Partnering closely with program finance, program managers, business development, and operational leaders to provide forward-looking insights on contract performance and pipeline conversion. Supporting financial planning processes tied to government contracts (e.g., cost-plus, fixed-price, T&M) and commercial software revenue models (e.g., SaaS, licensing, and usage-based pricing). Leveraging FP&A tools (e.g., Anaplan or similar platforms) to enhance forecasting, reporting, and scenario modeling.

Required qualifications include: 5+ years of FP&A experience within the U.S. defense industry, aerospace & defense, or government contracting environment. Strong understanding of government contract structures, including cost-plus, fixed-price, and time & materials. Familiarity with FAR (Federal Acquisition Regulations) and financial implications of compliance in forecasting and reporting. Proven expertise in top-down and bottom-up forecasting, including enterprise budgeting, cost pool planning, and management of indirect rates and wrap rates (e.g., G&A, overhead, fringe) within a program-based environment. Experience supporting program finance, contract performance analysis, and backlog/pipeline forecasting. Knowledge of ASC 606 revenue recognition principles and their application in forecasting and financial analysis. Proficient in delivering executive management-level reporting and analysis.

Preferred qualifications include: Experience operating in organizations at the intersection of defense and commercial technology/software. Exposure to SaaS or software business models, including knowledge of revenue recognition in software business models (ASC 606 application in SaaS, licensing, and usage-based revenue). Experience with financial systems automation, data pipelines, or advanced FP&A tooling. Working knowledge or hands-on experience with automation technologies, machine learning, or agentic AI tools to enhance financial analysis, forecasting, reporting, and decision-making. Customer-facing or operational experience (e.g., restaurants, retail, etc.). Demonstrated curiosity and openness to innovative, AI-enabled approaches that improve financial analysis, forecasting, reporting, and decision-making.

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The Risk Engineering team is the navigation system for this universe.

Our job is to guide thousands of ambitious people safely through Mercury’s orbit every day,each with its own trajectory, risk profile, and story. We operate at escape velocity: moving fast, making confident decisions, and protecting the system without slowing down the builders who rely on us. When we do our work well, founders open bank accounts in delightful minutes, not days,and never have to think about the complexity humming beneath the surface.

Now we’re entering a new era. We’re building agentic AI systems that don’t just score risk, but reason about it ,systems that can investigate, decide, escalate, and learn. These agents will help power and automate our KYC Refresh, EDD, ODD, and compliance workflows, taking our operations to the next level of efficiency and scale. The goal: less manual toil, earlier risk detection, sharper decisions, and experiences that feel almost magical in their simplicity.

This is where you come in.

We’re looking for a Senior Software Engineer who is energized by the idea of bringing intelligent automation to life in real production systems. Someone who wants to design and build AI-driven workflows that can think in steps, adapt to new information, and orchestrate complex decisions across people, models, and services. Someone who sees compliance not as red tape, but as a fascinating systems problem at planetary scale.

If you’re excited to build agentic AI that matters,software that protects millions of dollars, unlocks opportunities for founders around the world, and helps shape the future of banking,we’d love to explore the universe together.

In this role, you will:

Drive AI Product Development in Risk: You’ll help shape the architecture and implementation of AI-powered risk systems,from application approvals to ongoing and enhanced due diligence,turning messy, ambiguous signals into clear outcomes.

Collaborate Across Functions: You’ll partner with Product, Design, Risk Strategy, Compliance, and Operations to translate evolving regulatory and operational needs into elegant, resilient software. And you’ll push the frontier of what’s possible when modern AI meets thoughtfully designed systems.

Lead Projects End-to-End: Drive technical projects from concept to production across the stack. Define solutions, analyze tradeoffs, make critical decisions, and deliver software that works today and is sustainable for tomorrow.

Craftsmanship: Write clear, testable, and maintainable code. Establish patterns and best practices that your team can follow, ensuring long-term scalability and reliability.

Drive Quality & Scalability: Design extensible platform systems that create leverage, make balanced decisions on tech debt, plan careful rollouts, and own the quality of your work through post-launch monitoring.

Operational Excellence: Model a strong culture of operational excellence, holding a high bar for observability, reliability, and incident response.

Think Product, Not Just Code: Approach problems with a product mindset. You care as much about the business impact of what you build as the technical design.

Mentor & Elevate: Coach engineers on your team by sharing patterns, practices, and critical thinking to raise the technical bar and foster a culture of sustainable engineering.

You should have:

5+ years of software engineering experience, preferably in Payments or Risk.

Agentic AI expertise,you’ve built and launched applied Agentic AI products that have had strong business impact, shipping them from 0→1 and scaling 1→10 in production environments.

Proven success building large-scale distributed systems, ideally involving 3rd party integrations and decision automation.

A mindset that balances urgency with craftsmanship: shipping fast, without cutting corners on quality engineering.

A track record of raising the bar for quality and operational excellence, balancing shipping speed with technical excellence and observability.

Creativity and adaptability , you think beyond the obvious and find solutions that move both product and business forward.

Strong communication and leadership skills,you can inspire other engineers and articulate tradeoffs to influence decisions across teams.

Experience with or curiosity about KYC, AML, risk, or compliance systems in financial services or fintech.

If this role interests you, we invite you to explore our public demo at demo.mercury.com .

The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

US employees: $200,700 - $250,900

Canadian employees: CAD $189,700 - $237,100

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Your day-to-day will involve implementing Agentic AI and LLM-powered workflows using tools like Tines, AWS Agentcore, AWS Bedrock, Claude Code, etc. You will deploy systems with Infrastructure as Code (IaC) (i.e. Terraform) and build and maintain automation workflows across key enterprise platforms (i.e. Atlassian, Okta, Google Workspace, Slack, Zoom, knowledge management systems), cybersecurity systems (i.e. SIEM, GRC platforms, Data Security Platforms, etc.), and cloud environments (AWS, GCP).

You will build AI-driven chatbots or intelligent agents that automate tasks, support conversational workflows, and integrate with enterprise applications. You will partner with IT, Security, GRC, Procurement, and business teams to automate operational tasks and processes to reduce toil, improve efficiency and enable business.

You will develop integrations using REST APIs, JSON, webhooks, and scripting languages (JavaScript, Python). You will follow established automation and AI standards for quality, security, and governance; provide improvements where appropriate.

You will troubleshoot, maintain, and optimize existing workflows to improve stability and performance. You will document designs, workflows, configurations, and operational procedures.

You will participate in code reviews, technical discussions, and team-based learning to uplift engineering quality and consistency.

You will work with various tooling in Security, IT, and Production Engineering.

This role requires 10+ years of experience in automation engineering, systems integration, or workflow development. You should have experience with automation platforms such as Tines, Retool, Superblocks, n8n, etc. You should also have hands-on experience with Terraform and containerization technologies.

You should have experience developing LLM-powered automations, conversational interfaces, or Agentic AI assistants. You should have knowledge of Git and modern version control practices.

You should have strong skills in REST APIs, JSON, webhooks, JavaScript, and Python. You should also have familiarity with identity systems (Okta, SCIM) and RBAC concepts.

You should have familiarity with cloud environments such as Google Cloud Platform (GCP) and Amazon Web Services (AWS).

You should be able to break down problems, collaborate cross-functionally, and deliver solutions with moderate guidance.

You should have strong communication skills and the ability to translate functional requirements into technical outputs.

Preferred experience includes familiarity with data platform and database technologies (e.g., Snowflake, PostgreSQL, Cassandra, DynamoDB).

Work perks at Greenlight include medical, dental, vision, and HSA match, paid life insurance, AD&D, and disability benefits, traditional 401k with company match, unlimited PTO, paid company holidays and pop-up bonus holidays, professional development stipends, mental health resources, 1:1 financial planners, fertility healthcare, 100% paid parental and caregiving leave, plus cleaning service and meals during your leave, flexible WFH, both remote and in-office opportunities, fully stocked kitchen, catered lunches, and occasional in-office happy hours, employee resource groups.

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You are a passionate engineer who thrives on solving complex technical challenges and is eager to shape the next generation of mechanical simulation tools. With a strong foundation in software development and AI, you are excited by the opportunity to blend agentic AI advancements with engineering simulation software.

Driving and implementing the integration of conversational AI capabilities into advanced mechanical simulation software tools. Designing, developing, maintaining, testing, and documenting software modules,including APIs, backend, and frontend components. Collaborating closely with multidisciplinary teams to leverage shared technology components and ensure seamless integration. Writing clean, maintainable, and efficient code, adhering to industry best practices and coding standards. Investigating and resolving technical issues reported by QA or product support, ensuring robust and reliable software performance. Participating in bug verification, release testing, and beta support activities to guarantee product quality. Staying abreast of the latest agentic AI advancements, applying them to enhance existing systems or develop novel solutions.

Accelerate the integration of AI into Synopsys' new mechanical simulation tools, transforming user experience and functionality. Deliver high-impact, high-visibility AI solutions for a pioneering product line in the simulation and engineering domain. Shape innovative tools that enable engineers and researchers to solve complex mechanical modeling problems more efficiently. Contribute to the advancement of modeling through intelligent automation and conversational interfaces. Drive Synopsys' reputation as a leader in AI-powered engineering solutions, empowering customers across industries.

MS in Engineering, Computer Science, Natural Science, or a related field. Academic, research, or industry experience in software development. Proficiency in Python Experience with LLMs or generative AI techniques and agentic AI tools. Experience with additional programming languages such as Typescript, Go, or C++. Familiarity with distributed computing technologies (micro-service architectures, RPC frameworks, REST, WebSocket APIs). Experience with containerization tools (e.g., Docker), CI/CD pipelines (e.g., GitHub), and web frontend frameworks (e.g., Angular, React) is a plus. Background in Computer-Aided Engineering (CAE), Finite Element Analysis (FEA), Computational Fluid Dynamics (CFD), or CAD modeling is highly valued.

Passionate about understanding and solving complex problems with innovative technical solutions. Self-driven with a continuous learning mindset and enthusiasm for emerging technologies. Inquisitive, rigorous, and detail-oriented. Excellent communicator, fluent in English. Adaptable, able to work independently and collaboratively within distributed teams.

You will join a collaborative, agile team dedicated to developing next-generation tools for pre- and post-processing of mechanical simulations. The team values excellence and continuous improvement, working together to achieve ambitious goals and deliver innovative solutions that redefine simulation software.

We offer a comprehensive range of benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

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You are a dynamic engineer with working experience in RTL implementation, DFT, verification, flow automation and understanding of 3DIC solutions and UCIe protocols. You should have a passion for working with the best of the brains in the industry in developing end-to-end solutions and deploying them at our premier customer base. Your technical excellence and analytical skills, coupled with strong communication and interpersonal skills, make you an asset to any team.

Key responsibilities include:

• Working closely with a world-class R&D team, you’ll be at the center of developing and bringing an end-to-end solution to our wide variety of customers in the domain of Silicon Lifecycle Management (SLM) and 3DIC technologies.

• Working closely with customers, you will bring detailed requirements into the factory to enable R&D for strong, robust, and successful product development.

• Working closely with product development team, you will validate an end-to-end solution both internally (before shipment) as well as in customer environment.

• Driving the deployment and smooth execution of SLM solutions into customers’ projects.

• Enabling customers to realize the value of silicon health monitoring in the context of 3DIC systems throughout the lifecycle of silicon bring-up, validation, through in-field operations.

The impact you will have includes enhancing Synopsys’ Silicon Lifecycle Management (SLM) and 3DIC solutions’ IP portfolio and end-to-end solution especially in the growing field of multi-die (3DIC) domain, driving the adoption of Synopsys’ SLM and 3DIC solutions at premier customer base worldwide, and influencing the development of next-generation SLM IPs and solutions.

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You are a dynamic engineer with working experience in RTL implementation, DFT/BIST, verification, flow automation, and understanding of hierarchical SoC architectures and IEEE1149/1500 and 1687 standards and pattern porting. You should have a passion for working with the best of the brains in the industry in developing end-to-end solutions and deploying them in our premier customer base.

What You'll Be Doing:

• Working closely with a world-class R&D team, you'll be at the center of developing and bringing an end-to-end solution to our wide variety of customers in the domain of Silicon Lifecycle Management (SLM) built over a robust DFT framework.
• Working closely with customers, you will bring detailed requirements into the factory to enable R&D for strong, robust, and successful product development.
• Working closely with product development team, you will validate an end-to-end solution both internally (before shipment) as well as in customer environment.
• Driving the deployment and smooth execution of SLM and Test solutions into customers' projects.
• Enabling customers to realize the value of silicon health monitoring using a robusta DFT framework throughout the lifecycle of silicon bring-up, validation, through in-field operations.

The Impact You Will Have:

• Enhancing Synopsys' Silicon Lifecycle Management (SLM) and DFT IP portfolio and end-to-end solution.
• Driving the adoption of Synopsys' SLM and DFT solutions at premier customer base worldwide.
• Influencing the development of next-generation SLM IPs and solutions.

What You'll Need:

• BSEE/MSEE in Electrical Engineering, Computer Engineering, or related field.

• 8 years of hands-on experience with DFT/BIST insertion, RTL design, and functional verification.

• Good exposure to JTAGIEEE 1149.1, IEEE 1687/1500, Testdata access mechanism.

• Knowledge on memory defectivities soft errors and reliability.

• Familiarity with error correcting codes such as Hamming and Hsiao.

• Hands-on experience in dealing with hierarchical SoCs, 1149.1/1500/1687 standards and pattern porting.

• Familiarity with either Synopsys TestMAX Tool chain or competitive offerings.

• Debugging abilities to identify and resolve issues in functional verification in UVM environment.

• Hands on experience in flow automation.

• Knowledge of Synthesis is a must with understanding of timing constraints (SDC).

• Knowledge of Lint, CDC, RDC is a plus.

• Knowledge of physical implementation is not a must, but good to have.

• Ability to evaluate technical suggestions from customers and work with internal teams (product management/R&D) to make decisions.

• Customer facing experience is a plus – educating/guiding customer on technical details of a solution.

• Good to have:

• Hands-on bring-up and debug experience of silicon is a plus.

• Architecture/micro-architecture experience.

• Understanding of GenAI and Agentic AI workflows.

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We're looking for an experienced Engineering Manager to lead our Agent Experience team. As a key member of our engineering organization, you will be responsible for scaling a mission-critical team from its early stages. You will balance deep technical strategy in the AI space with a relentless bias-for-action, ensuring we ship high-leverage tools for developers and their agents.

Responsibilities

• Lead and scale a high-performing team of 10+ engineers, ranging from early-career to Staff level.
• Define agentic strategy and partner with product and executive leadership to shape the long-term vision of how AI agents consume Stripe's APIs and services.
• Foster a 'bias-for-action' culture that allows the team to ship rapidly in an evolving market without sacrificing the reliability expected of financial infrastructure.
• Oversee the design and delivery of complex back-end systems and developer tools, ensuring they are extensible, secure, and intuitive for both humans and agents.
• Collaborate cross-functionally and act as a primary bridge between your team and Stripe's senior leadership, influencing company-wide strategy for AI integration and agentic workflows.

Requirements

• 5+ years of engineering management experience, with a proven track record of managing and growing teams of 10+ engineers.
• Deep domain expertise in the Agentic AI space or a strong background in building sophisticated developer tools and back-end systems.
• Exceptional communication skills, with the ability to distill complex technical concepts into clear strategic frameworks for peers and executives.
• Experience in rapid-growth environments, specifically a history of successful, high-volume hiring and team scaling.
• Technical proficiency to engage deeply with Staff-level engineers on system architecture, API design, and AI model integration.

Preferred Qualifications

• A 'dual-track' career history with experience in both early-stage startups and high-growth, at-scale technology companies.
• Experience navigating high-stakes, regulated industries such as Fintech or Healthcare.
• A strong point of view on the future of AI-driven economies and the 'agentic' evolution of software.

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This role requires a passion for understanding and modeling the interactions between AI and society, a strong awareness of the AI alignment and safety landscape, and a penchant for developing novel ideas, methods, interfaces, and tools.

As a Research Scientist at Google DeepMind, you will join a team working to supercharge exploration, assessment, and steering of evolving AI behaviours, with a focus on subjective and creative tasks. You will tackle the underlying research questions to improve collaborative specification of alignment objectives and assessment of adherence to desired behaviours.

Key responsibilities include generating new ideas, executing cutting-edge ideas, communicating research findings, collaborating with other researchers, and driving technical projects.

To be successful in this role, you will need a PhD degree in Computer Science, Machine Learning, or a related technical field, a strong publication record in top machine learning conferences, and demonstrated hands-on experience in developing multimodal AI models and systems.

In addition, experience with large-scale vision language models, fine-tuning and post-training LLMs using RL, and developing agentic AI solutions to complex problems would be an advantage.

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Do you ever have the urge to do things better than the last time? We do. And it's this urge that drives us every day. Our environment of discovery and innovation means we're able to create deep and valuable relationships with our clients to create real change for them and their industries. It's what got us here – and it's what will make our future.

As a Backend Software Engineer at Quantexa, you'll play a key role in shaping one of the most critical components of our Decision Intelligence platform: Decision Systems. The Decision Systems team is responsible for turning complex, interconnected data into meaningful insights — helping global organisations detect patterns, uncover risks, and make smarter decisions.

Key Responsibilities

• Building new tooling that allows users to configure detection logic more easily and effectively.
• Enhancing the platform so that existing Scores can be applied across an expanding range of scenarios.
• Improving system performance to ensure even the largest datasets can be analysed efficiently.

Requirements

• Strong commercial experience in Java or another JVM-based language.
• A willingness — and enthusiasm — to learn Scala and adopt functional programming practices.
• Pride in designing, building, and delivering well-engineered, high-quality solutions to complex problems.
• A big-picture approach to problem-solving, ensuring your solutions work effectively within the wider system.
• Experience across the full engineering lifecycle, from design and implementation through to testing and deployment.

Benefits

• Competitive salary and Company Bonus.
• Flexible working hours in a hybrid workplace & free access to global WeWork locations & events.
• Pension Scheme with a company contribution of 6% (if you contribute 3%).
• 25 days annual leave (with the option to buy up to 5 days) + birthday off!

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At BlackRock, technology is the foundation of our business. As a VP, Java Back-End Engineer, you'll lead by example — architecting, coding, and mentoring teams to build resilient systems that power our global post-trade operations. You'll design and deliver enterprise-scale software with a focus on reliability, performance, and clean engineering practices.

This role is ideal for a technical leader who enjoys staying close to the code, guiding design decisions, and solving complex data challenges — all while fostering a culture of excellence and continuous improvement.

Key Responsibilities

• Design and develop robust, high-performance back-end systems using Java 11+ and the Spring Boot ecosystem.
• Lead design discussions, code reviews, and architecture sessions with a hands-on approach.
• Build and maintain microservices and event-driven systems to process and distribute large-scale financial data.
• Develop data integration and pipeline components that connect systems across Snowflake, SQL Server, and real-time streaming platforms.
• Implement and optimize Redis-based caching and data stores for low-latency access patterns.
• Champion best practices for code quality, testing, automation, and performance tuning.
• Mentor engineers to elevate technical craftsmanship, problem-solving, and design thinking.
• Collaborate cross-functionally to ensure technical solutions align with product goals and business outcomes.

Qualifications / Competencies

• B.S./M.S. in Computer Science, Engineering, or related discipline.
• 6+ years of professional experience in Java and object-oriented design.
• Strong knowledge of Spring Boot, REST APIs, and enterprise integration patterns.
• Deep expertise in SQL Server, including stored procedures, performance tuning, and data modeling.
• Experience with Redis for caching or data persistence.
• Hands-on exposure to Kafka or similar publish-subscribe systems for real-time event processing.
• Familiarity with Snowflake and data pipeline concepts (ETL, batch vs. streaming).
• Experience with Agentic coding and general understanding of how LLMs are working
• Strong focus on clean architecture, maintainability, and production readiness.
• Excellent communication and leadership skills — able to guide teams and influence design direction.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

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We are seeking a highly skilled program manager to join our team as a Technical Program Management (AI Governance), Principal. As a principal program manager, you will be responsible for driving portfolio-level prioritization and delivery of Gen/Agentic AI initiatives, ensuring focus on highest-value outcomes.

What You'll Be Doing:

• Drive portfolio-level prioritization and delivery of Gen/Agentic AI initiatives, ensuring focus on highest-value outcomes.
• Ensure alignment between program execution and organizational goals, maximizing business value from AI investments.
• Contribute strongly towards cross-functional AI governance and decision forums that balance innovation velocity with enterprise risk and compliance.
• Shape the future of the Gen/Agentic AI solutions, influencing the direction of AI governance, risk management, and compliance efforts.
• Enhance cross-functional collaboration and knowledge sharing, breaking down silos to accelerate innovation.
• Build scalable governance frameworks and operationalize industry standards to ensure compliance and quality throughout the AI lifecycle.
• Empower business units to confidently adopt GenAI technologies, driving enterprise-wide transformation and agility.
• Collaborate closely with stakeholders to define program objectives, scope, and deliverables that align with strategic business goals.
• Develop, maintain, and optimize comprehensive program plans, resource allocation, and risk mitigation strategies.
• Monitor program progress, identify potential roadblocks, and implement proactive solutions to keep projects on track.
• Provide strategic guidance and support to project teams, acting as a mentor and thought leader in AI program delivery.
• Foster a culture of continuous improvement within the PMO function, incorporating best practices and lessons learned.
• Stay current with industry trends, regulatory developments, and advancements in AI to enhance program delivery and governance.
• Drive the successful delivery of GenAI offerings and strategic initiatives, positioning Synopsys as a leader in enterprise AI adoption.

What You'll Need:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related discipline.
• Proven experience as a Program Manager, leading complex projects in the software or high-tech industry and leadingend-to-end evaluation of new model/app/tool requests (including third-party solutions), coordinating risk reviews across IP, privacy, security, and legal/compliance.
• Robust understanding of Generative AI (GenAI), Large Language Models (LLMs), Agentic AI, Responsible AI, and AI Governance, and are adept at embedding responsible practices, such as fairness, transparency, privacy, and accountability—into every stage of program delivery.
• Awareness of industry standards such as the NIST AI Risk Management Framework and EU AI Act-style Quality Management Systems, and ability to operationalize them effectively within large organizations.
• Hands-on experience with portfolio management tools (e.g., Jira, Azure DevOps), intake workflow systems, and knowledge bases (e.g., SharePoint, Confluence).
• Ability to drive Scalable, auditable AI governance mechanisms adopted across multiple business units.
• Reduced friction and cycle time for AI model/app approvals without increasing risk
• Measurable enterprise adoption and business value from GenAI deployments

Who You Are:

• Strategic thinker with strong analytical and problem-solving skills.
• Excellent communicator, able to convey complex ideas clearly to technical and non-technical stakeholders.
• Adaptable and resilient in the face of change, with a continuous improvement mindset.
• Collaborative, inclusive, and able to build strong relationships across diverse teams and geographies.
• Comfortable operating in areas of ambiguity where policy, technology, and business objectives intersect.
• Able to manage multiple priorities in a dynamic environment

The Team You'll Be A Part Of:

You will be part of GenAI Center of Excellence, a team that is passionate about driving innovation and advancing our AI Platform & Solutions. This role reports to Head of AI Program Management & Chief of Staff, GenAI Center of Excellence. We are a close-knit, collaborative group that values open communication and continuous learning. We collaborate closely with engineering, product, compliance, and executive teams to deliver impactful results and shape the company’s AI strategy.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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We are seeking a highly skilled and experienced AI Revenue-generating Solutions Manager to join our team. As a key member of our sales team, you will be responsible for driving revenue growth and developing new business opportunities in the AI space.

Responsibilities:

• Strategic Acumen: Identify new market opportunities, emerging trends, and unmet customer needs.
• Market Hunter: Proactively find where the next wave of business is.
• Visionary: Connect the dots between client challenges and the broader industry landscape, articulating a compelling vision for how your solutions provide long-term value.
• Analytical Mindset: Research markets, analyse data, and extract actionable insights to inform strategy and targeting.
• Exceptional Communicator & Persuader: Articulate complex solutions in a clear, concise, and persuasive manner, translating technical features into tangible business benefits.
• Master Negotiator: Skilled at finding win-win solutions, navigating objections, and closing deals that are mutually beneficial and profitable.
• Relationship Builder & Networker: Build and nurture a vast professional network both internally and externally.

Requirements:

• Typically a Bachelor's degree in Business Administration, Marketing, Sales, Economics, or a related field.
• An MBA or specialized certifications can be highly advantageous.
• 3-5+ years of progressive experience in sales, account management, or business development roles, specifically within a solutions-oriented environment.
• Demonstrable track record of exceeding revenue targets and driving measurable business growth.
• Experience in the specific industry is often highly preferred.

Benefits:

• Competitive salary and bonus structure.
• Comprehensive benefits package, including health insurance, retirement plan, and paid time off.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

If you are a highly motivated and experienced sales professional with a passion for AI, we encourage you to apply for this exciting opportunity.

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Responsibilities:

• Design, develop, and deploy end-to-end GenAI solutions (RAG, AI agents, agentic workflows, prompt engineering).
• Integrate AI solutions into existing systems, applications, and business processes.
• Implement LLMOps practices, including Docker containerization, CI/CD pipelines, and versioning strategies.
• Ensure monitoring, observability, cost optimization, and rollback mechanisms for production AI services.
• Define and execute evaluation frameworks (hallucination metrics, A/B testing, offline/online validation).
• Apply security, compliance, and governance guidelines for GenAI implementations.
• Collaborate with stakeholders and contribute to AI delivery standards and onboarding practices.

Requirements:

• Master’s degree in Computer Science, Software Engineering, Data Engineering, or a related field.
• Very strong expertise in Python and software engineering (APIs, testing, code reviews).
• Practical experience with RAG architectures, vector databases, and agentic AI workflows.
• Hands-on experience deploying production-grade AI services.
• Solid knowledge of Docker and CI/CD pipelines.
• Understanding of ML fundamentals, evaluation concepts, and LLM behavior.
• Familiarity with cloud environments (preferably Azure) and distributed systems.
• Strong analytical and problem-solving skills.
• Very good level of English.
• Autonomous, reliable, and team-oriented mindset.

What you will get:

• A role with true technical ownership: architecture, scaling, and governance decisions that directly impact production AI solutions.
• Complex projects that go beyond “just pipelines” – covering big data processing and large-scale ML/DL deployment.
• Opportunities to deepen your expertise in Databricks, cloud-native ML, and MLOps.
• A team where your input and technical decisions truly matter.
• A competitive package and benefits.

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We are bringing Copilot and AI into a world class mobile browser to make it easier for users to search, read, decide, and act, while we work to lead in the emerging AI browser space.

At Microsoft Edge Mobile, we deliver a fast, secure, and reliable browser built on Chromium, and we are steadily making it smarter through thoughtful AI integration.

We are looking for a Product Manager who has a solid appetite for working close to the Chromium based platform and can pair product judgment with hands on, AI enabled ways of working to move quickly, learn faster than competitors, and deliver real user value.

Responsibilities

• Identify, define, and evolve product opportunities by combining user research, data, competitive insights, and ongoing feedback across areas such as search, reading, privacy, Copilot integration, and cross device continuity.

• Design and run experiments, interpret results, and guide investment decisions using both traditional analytics and AI assisted workflows.

• Leverage AI tools to monitor, interpret, and quickly react to user voices across app reviews, feedback, and other signals.

• Work closely with engineering and design partners to decide which capabilities should align with Chromium and where Edge should purposefully diverge, while shipping high quality features on a regular release cadence.

• Ensure smooth app release schedules and collaborate with business development and marketing teams on app store promotions and in product launches.

• Drive adoption and growth through in product experiences and clear communication of plans, results, and learnings to stakeholders and leadership.

Qualifications

• Bachelor’s Degree AND 2+ years experience in product/service/program management or software development or equivalent experience.

• Solid product mindset grounded in customer needs, business outcomes, and quality at scale.

• Ability to own ambiguous problems end to end, from framing and discovery through delivery, iteration, and learning.

• Comfort designing experiments, reading data, and using evidence to make and explain product decisions.

• Familiarity with working on large, technically complex products and navigating tradeoffs between platform capabilities and product differentiation.

• Ability to manage multiple work streams in a fast moving environment while maintaining focus on what matters most.

• Willingness to act with a bias toward action, using AI assisted tools and workflows to test ideas quickly and avoid long dependency chains.

• Ability to create clarity through concise written and verbal communication with engineering, design, test partners, and leadership.

• 2+ years of experience building user facing products.

• Demonstrated ability to deliver meaningful user value at scale.

• Experience working across engineering, design, data, and go to market partners.

• Ability to influence without authority and collaborate effectively across teams.

Preferred Qualifications

• Bachelor’s Degree AND 5+ years experience in product/service/program management or software development or equivalent experience.

• 4+ years of experience building user facing products.

• Experience working on consumer apps, mobile products, or platforms with large user bases.

• Familiarity with Chromium based browsers or browser platforms.

• Familiarity with experimentation, analytics, or growth loops.

• Experience working with LLM powered or agentic AI products.

• Hands on use of AI powered tools to improve product discovery, analysis, and execution.

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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 the Team

Our team is organised around the north star goal of building an AI scientist – a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific frontier. Our team likes to think across the whole model stack. Currently the team is focused on improving models' abilities to use computers – as a laboratory for long horizon tasks and a key blocker to many scientific workflows.

About the role

As a Research Engineer on our team you will work end to end, identifying and addressing key blockers on the path to scientific AGI. Strong candidates should have familiarity with language model training, evaluation, and inference, be comfortable triaging research ideas and diagnosing problems and enjoy working collaboratively. Familiarity with performance optimisation, distributed systems, vm/sandboxing/container deployment, and large scale data pipelines is highly encouraged.

Join us in our mission to develop advanced AI systems that are both powerful and beneficial for humanity.

Responsibilities:

• Working across the full stack to identify and remove bottlenecks preventing progress toward scientific AGI
• Develop approaches to address long-horizon task completion and complex reasoning challenges essential for scientific discovery
• Scaling research ideas from prototype to production
• Create benchmarks and evaluation frameworks to measure model capabilities in scientific workflows and computer use
• Implement distributed training systems and performance optimisations to support large-scale model development

You may be a good fit if you:

• Have 8+ years of ML research experience
• Are familiar with large scale language model training, evaluation, and inference pipelines
• Enjoy obsessively iterating on immediate blockers towards longterm goals
• Thrive working collaboratively to solve problems
• Have expertise in performance optimisation and distributed computing systems
• Show strong problem-solving skills and ability to identify technical bottlenecks in complex systems
• Can translate research concepts into scalable engineering solutions
• Have a track record of shipping ML systems that tackle challenging multi-step reasoning problems

Strong candidates may also have:

• Expertise with performance optimisation for language model inference and training
• Experience with computer use automation and agentic AI systems
• A history working on reinforcement learning approaches for complex task completion
• Knowledge of containerisation technologies (Docker, Kubernetes) and cloud deployment at scale
• Demonstrated ability to work across multiple domains (language modelling, systems engineering, scientific computing)
• Have experience with VM/sandboxing/container deployment and large-scale data processing
• Experience working with large scale data problem solving and infrastructure
• Published research or practical experience in scientific AI applications or long-horizon reasoning

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification.** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us.** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science.

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What you'll do

Implement AI solutions to enable efficiency, expansion, and transformation across EA Experiences, directly aligned with EA Experiences' goals. You will:

• Stay informed on the evolution of AI technologies and opportunities to drive efficiency, expansion, and transformation
• Have a deep understanding of AI technologies and solutions, specifically focusing on how they can be integrated into business processes and systems to enhance efficiency
• Collaborate EA Experiences teams to understand their business, processes, opportunities, and challenges.
• Identify opportunities for developing creative AI solutions that enable our teams to focus on creative and innovative work that keeps our fans at the center of what we do
• Be an AI evangelist, promoting the use of AI as a force-multiplier

What you need

• 4+ years experience rapidly prototyping and deploying robust production solutions incorporating software engineering, infrastructure, architectural, and security best practices
• Excellent Python development skills are required, C#, JavaScript, HTML, and CSS are strongly preferred
• Experience using agentic AI software engineering solutions such as Cursor, GitHub CoPilot, or Claude Code
• Extensive experience engineering AI solutions and excellent working knowledge of:
• Prompt and context engineering
• AI agents, agentic architectures, tool calling, and Model Context Protocol (MCP)
• AI assistants, RAG, embeddings, and vector databases
• Model tuning, evaluation, benchmarking, and guardrails
• An excellent understanding of architecture, design principles, and cloud services, such as:
• AWS (Azure, and GCP cloud services are optional)
• Enterprise architecture and microservices design
• Observability and telemetry
• Infrastructure as code and CI/CD
• Data science experience is beneficial
• Content production (e.g. marketing) is strongly beneficial
• Experience navigating the legal, ethical, and security implications for AI
• Thrive working both collaboratively and independently
• Excellent creative, critical thinking, and problem solving skills
• Enjoy and prioritize continual learning- and staying up to date with the newest technologies and solutions and can understand how they can benefit EA Experiences
• Demonstrated ability to clearly and succinctly articulate complex concepts at a senior level
• Experience integrating AI solutions specifically with AAA Console/PC games and businesses is beneficial
• Experience with game engines is beneficial (Unity, Unreal)

Why this matters

This role is a key part of our EA Experiences team, and will help us to create innovative AI solutions that keep our fans at the center of everything we do. As an AI Solutions Engineer, you will be working closely with teams across EA Experiences to develop and implement cutting-edge AI solutions that provide increased efficiency and help our teams focus on what matters most, our fans.

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Microsoft AI are looking for a talented Principal Software Engineer to lead the development of security features and innovative solutions that harness agentic AI to both protect our customers and enable new agentic capabilities in Copilot.

About the Role

As a Principal Software Engineer, you will design, build, and ship AI-powered defenses, secure orchestration frameworks, and enabling technologies that empower Copilot to act safely and responsibly at scale. This role demands deep engineering expertise, creativity in applying agentic AI to security challenges, and a passion for building systems that balance innovation with trust.

Accountabilities

• Develop and ship agentic AI-powered security features that proactively protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows.
• Design and implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms.

The Candidate we're looking for

Experience:

• 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Proven ability to design, build, and ship agentic AI features or frameworks.
• Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms; familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns.

Personal attributes:

• Ability to clearly explain complex systems and security concepts to technical and non-technical stakeholders and influence cross-org roadmaps.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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Microsoft AI are looking for a talented Principal Software Engineer to lead the development of security features and innovative solutions that harness agentic AI to both protect our customers and enable new agentic capabilities in Copilot.

About the Role

As a Principal Software Engineer on the Copilot Security team, you will design, build, and ship AI-powered defenses, secure orchestration frameworks, and enabling technologies that empower Copilot to act safely and responsibly at scale. You will work closely with product, engineering, security, privacy, and AI teams to drive adoption of agentic security patterns and best practices across Copilot and MAI.

Accountabilities

• Develop and ship agentic AI-powered security features that proactively protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows.
• Design and implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms.

The Candidate we're looking for

Experience:

• 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Proven ability to design, build, and ship agentic AI features or frameworks.
• Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms.

Personal attributes:

• Ability to clearly explain complex systems and security concepts to technical and non-technical stakeholders and influence cross-org roadmaps.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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Microsoft AI are looking for a talented Principal Software Engineer to join their Copilot Security team in Mountain View. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI experiences. You'll work directly with leadership to shape the company's direction in the AI and security markets.

About the Role

We're seeking a Principal Software Engineer to contribute to the development of security features and solutions that harness agentic AI to protect customers and enable new capabilities in Copilot. You'll design, build, and ship AI-powered defenses, secure orchestration frameworks, and enabling technologies that empower Copilot to act safely and responsibly at scale. This role requires solid engineering skills, creativity in applying agentic AI to security challenges, and a passion for building systems that balance innovation with trust.

Accountabilities

• Develop and ship agentic AI-powered security features that protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows.
• Design and implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms.

The Candidate we're looking for

Experience:

• 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, Go, or Python.

Technical skills:

• Proven ability to design, build, and ship agentic AI features or frameworks.
• Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms; familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns.

Personal attributes:

• Ability to clearly explain complex systems and security concepts to technical and non-technical stakeholders and influence cross-org roadmaps.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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Microsoft AI are looking for a talented Principal Software Engineer to join their Copilot Security team in Redmond. This role will involve designing, building, and shipping agentic AI-powered security features that protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows.

About the Role

As a Principal Software Engineer on the Copilot Security team, you will be responsible for developing and shipping agentic AI-powered security features that protect users from emerging threats. You will design and implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms. You will also collaborate with product, engineering, security, privacy, and AI teams to drive adoption of agentic security patterns and best practices across Copilot and MAI.

Accountabilities

• Develop and ship agentic AI-powered security features that protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows.
• Design and implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms.

The Candidate we're looking for

Experience:

• 8+ years of technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, Go, or Python.

Technical skills:

• Proven ability to design, build, and ship agentic AI features or frameworks.
• Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms.

Personal attributes:

• Ability to clearly explain complex systems and security concepts to technical and non-technical stakeholders and influence cross-org roadmaps.

Benefits

• Competitive salary and benefits package.
• Opportunity to work on cutting-edge AI-powered security features.
• Collaborative and dynamic work environment.

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Microsoft AI are looking for a talented Principal Software Engineer to join their Copilot Security team in Redmond. This role will involve designing and building agentic AI-powered security features that proactively protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows.

About the Role

As a Principal Software Engineer on the Copilot Security team, you will be responsible for developing and shipping agentic AI-powered security features that proactively protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows. You will design and implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms. You will also collaborate with product, engineering, security, privacy, and AI teams to drive adoption of agentic security patterns and best practices across Copilot and MAI.

Accountabilities

• Develop and ship agentic AI-powered security features that proactively protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows.
• Design and implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms.

The Candidate we're looking for

Experience:

• 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Proven ability to design, build, and ship agentic AI features or frameworks.
• Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms; familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns.

Personal attributes:

• Ability to clearly explain complex systems and security concepts to technical and non-technical stakeholders and influence cross-org roadmaps.

Benefits

• Competitive salary and benefits package.
• Opportunity to work on cutting-edge AI and security projects.
• Collaborative and dynamic work environment.

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What you'll do

• Architect multi-agent systems and agentic workflows for IP R&D automation
• Design and implement AI copilots with tool use, planning, and memory capabilities

What you need

• 5+ years in software development with AI/ML focus
• Expertise in GenAI, RAG, and agentic AI systems

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Microsoft are looking for a talented Senior Software Engineer to join their Copilot Security team in New York. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI experiences. You'll work directly with leadership to shape the company's direction in the AI and security markets.

About the Role

Copilot for consumers is entering a new era of agentic AI, where intelligent agents act on behalf of users across Windows, Edge, web, mobile, and third-party products. We're seeking a Senior Software Engineer to help develop security features and solutions that harness agentic AI to protect customers and enable new capabilities in Copilot. You'll contribute to designing and building AI-powered defenses, secure orchestration frameworks, and enabling technologies that empower Copilot to act safely and responsibly at scale.

Accountabilities

• Develop and ship agentic AI-powered security features that protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows.
• Implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms.

The Candidate we're looking for

Experience:

• 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses.
• Proven ability to design, build, and ship agentic AI features or frameworks.

Personal attributes:

• Ability to clearly explain complex systems and security concepts to technical and non-technical stakeholders and influence cross-org roadmaps.

Benefits

• Competitive salary range of $119,800 - $234,700 per year.
• Comprehensive benefits package, including health insurance, retirement plan, and paid time off.
• Opportunities for professional growth and development, including training and mentorship programs.
• Collaborative and dynamic work environment with a team of experienced professionals.
• Access to cutting-edge technology and tools, including Azure AI services and Microsoft security platforms.

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What you'll do

Implement AI solutions to enable efficiency, expansion, and transformation across EA Experiences, directly aligned with EA Experiences' goals. You will:

• Stay informed on the evolution of AI technologies and opportunities to drive efficiency, expansion, and transformation
• Have a deep understanding of AI technologies and solutions, specifically focusing on how they can be integrated into business processes and systems to enhance efficiency
• Lead collaborative efforts with EA Experiences teams to understand their business, processes, opportunities, and challenges.
• Identify opportunities for developing creative AI solutions that enable our teams to focus on creative and innovative work that keeps our fans at the center of what we do
• Be an AI evangelist, promoting the use of AI as a force-multiplier

What you need

• 4 years + experience rapidly prototyping and deploying robust production solutions incorporating software engineering, infrastructure, architectural, and security best practices
• Python development skills, C#, JavaScript, HTML, and CSS is beneficial
• Experience using agentic AI software engineering solutions such as Cursor
• Extensive experience engineering AI solutions and excellent working knowledge of:
• Prompt and context engineering
• AI agents, agentic architectures, tool calling, and Model Context Protocol (MCP)
• AI assistants, RAG, embeddings, and vector databases
• Model tuning, evaluation, benchmarking, and guardrails
• A comprehensive understanding of architecture and design principles, and cloud services, such as:
• AWS, Azure, and GCP cloud services
• Enterprise architecture and microservices design
• Observability and telemetry
• Infrastructure as code and CI/CD
• Experience navigating the legal, ethical, and security implications for AI
• Thrive working both collaboratively and independently
• Excellent creative, critical thinking, and problem solving skills
• Enjoy and prioritize continual learning- and staying up to date with the newest technologies and solutions and can understand how they can benefit EA Experiences
• Demonstrated ability to clearly and succinctly articulate complex concepts at a senior level
• Experience integrating AI solutions specifically with AAA Console/PC games and businesses is beneficial

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