AI Applications Engineer

Senior Staff AI Engineer

Sofi

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role: SoFi’s Senior Staff AI Engineer is a hands-on AI engineering role in SoFi’s growing independent risk organization. This is a critical, senior role responsible for setting the technical direction, driving execution, and ensuring the successful delivery of our most complex, production-level AI initiatives. This role will be instrumental in conceptualizing, prototyping and implementing best-in-class AI-based solutions to meet risk management and compliance requirements. This hands-on role will work closely with the Director of Risk Analytics, and will leverage your deep expertise to solve our hardest problems, mentor the next generation of engineers, and directly connect technical innovation to major business success. This is a crucial role for the independent risk function as we execute our mission to help more members get their money right. What you’ll do:  * Architecture and Strategy: Define the long-term technical architecture and strategy for our next-generation AI platform, particularly focusing on robust, scalable agentic frameworks and LLM deployment patterns. * Advanced LLM Orchestration: Architect and standardize the use of graph-based LLM orchestration, leveraging expert-level mastery of LangGraph to solve highly complex, multi-stage reasoning problems at scale. * Distributed Agent Memory & State: Develop robust, persistent infrastructure for agentic state management, ensuring that long-running agent workflows maintain context and reliability across distributed nodes and regional failovers * Deep Model Optimization: Pioneer and institutionalize advanced parameter-efficient fine-tuning (PEFT) and compression techniques to maximize model performance and minimize operational costs across the organization. * Model Serving Infrastructure: Support the development of a unified model serving platform designed to host internally fine-tuned and custom-trained models to ensure high-throughput, low-latency inference across diverse hardware footprints. * Operational Excellence: Define and enforce high standards for AI operationalization, requiring mastery in designing and deploying comprehensive AI observability solutions and advanced tracing/testing frameworks that guarantee production quality, compliance, and reliability. * Mentorship: Mentor senior and junior AI Engineers, elevating the overall engineering quality * Cross Functional Collaboration: Coordinate with cross-functional teams to distill specific requirements, project roadmaps, and ensure accurate and on-time project deliveries * AI Innovation: Stay up-to-date with the latest trends and advancements in GenAI, LLMs, and NLP, evaluating and experimenting with new techniques and tools to push the boundaries of AI innovation in the banking sector. What you’ll need: * Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or a related field. PhD is a plus. * 8+ years software development experience, with 3+ years of hands-on experience in developing and successfully deploying production-level AI applications that have been used by real customers or internal stakeholders. * Expert-level experience with LangGraph to model and orchestrate complex, stateful multi-step reasoning and control flow in LLM applications. * Expert-level proficiency in developing sophisticated agentic solutions, with a portfolio demonstrating advanced use of planning, memory management, tool integration, and control flow. * Deep understanding of Large Language Model (LLM) architectures, prompt engineering, retrieval-augmented generation (RAG), and advanced text generation techniques. * Proven experience implementing parameter-efficient fine-tuning (PEFT) techniques (e.g., LoRA) to customize and optimize pre-trained models for specific tasks with minimal computational overhead. * Deep expertise in building or extending inference engines (e.g., vLLM, NVIDIA Triton, or TGI) and managing the underlying Kubernetes/GPU orchestration for custom model deployments. * Deep experience designing and institutionalizing AI observability solutions (e.g., LangSmith, Arize, Deepchecks) and advanced tracing and testing methodologies for LLM and agentic systems. * Experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes). * Expert level Python is required. * React is strongly preferred. * Experience with large-scale data handling, including unstructured and structured data pipelines, with a strong preference for Snowflake and DynamoDB. * Experience developing and integrating AI-powered APIs and microservices architecture into banking applications. * Experience with vector databases and retrieval-augmented generation (RAG) techniques using systems like Elasticsearch, Pinecone, or FAISS for enhancing LLM performance. * Exceptional ability to communicate complex technical concepts, drive consensus among senior technical leaders, and influence organizational AI strategy. * Strong analytical and problem-solving skills with attention to detail and an ability to work with complex, large-scale systems. * Strong collaboration skills, with experience working in agile, cross-functional teams. Nice to have: * Familiarity with regulatory frameworks and ethical considerations in AI within the banking industry (e.g., GDPR, data privacy, model explainability). * Experience in banking or financial services use cases such as conversational AI for customer service, intelligent document processing for loan applications, fraud detection, or risk analysis. Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.    To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! SOFI PROVIDES EQUAL EMPLOYMENT OPPORTUNITIES (EEO) TO ALL EMPLOYEES AND APPLICANTS FOR EMPLOYMENT WITHOUT REGARD TO RACE, COLOR, RELIGION (INCLUDING RELIGIOUS DRESS AND GROOMING PRACTICES), SEX (INCLUDING PREGNANCY, CHILDBIRTH AND RELATED MEDICAL CONDITIONS, BREASTFEEDING, AND CONDITIONS RELATED TO BREASTFEEDING), GENDER, GENDER IDENTITY, GENDER EXPRESSION, NATIONAL ORIGIN, ANCESTRY, AGE (40 OR OVER), PHYSICAL OR MEDICAL DISABILITY, MEDICAL CONDITION, MARITAL STATUS, REGISTERED DOMESTIC PARTNER STATUS, SEXUAL ORIENTATION, GENETIC INFORMATION, MILITARY AND/OR VETERAN STATUS, OR ANY OTHER BASIS PROHIBITED BY APPLICABLE STATE OR FEDERAL LAW. THE COMPANY HIRES THE BEST QUALIFIED CANDIDATE FOR THE JOB, WITHOUT REGARD TO PROTECTED CHARACTERISTICS. PURSUANT TO THE SAN FRANCISCO FAIR CHANCE ORDINANCE, WE WILL CONSIDER FOR EMPLOYMENT QUALIFIED APPLICANTS WITH ARREST AND CONVICTION RECORDS. NEW YORK APPLICANTS: NOTICE OF EMPLOYEE RIGHTS SOFI IS COMMITTED TO AN INCLUSIVE CULTURE. AS PART OF THIS COMMITMENT, SOFI OFFERS REASONABLE ACCOMMODATIONS TO CANDIDATES WITH PHYSICAL OR MENTAL DISABILITIES. IF YOU NEED ACCOMMODATIONS TO PARTICIPATE IN THE JOB APPLICATION OR INTERVIEW PROCESS, PLEASE LET YOUR RECRUITER KNOW OR EMAIL ACCOMMODATIONS@SOFI.COM. DUE TO INSURANCE COVERAGE ISSUES, WE ARE UNABLE TO ACCOMMODATE REMOTE WORK FROM HAWAII OR ALASKA AT THIS TIME. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

Manager, IT Client Endpoint Engineering

Asana

The IT Systems Engineering team builds the systems and processes that keep Asana running: endpoint management, identity, and the enterprise applications every Asana employee uses every day. As Manager of IT Applications and Client Platform Engineering, you’ll lead four engineers: two on client platform, two on applications. You report directly to the Head of IT Systems Engineering. This is a player/coach role: you set direction, run planning, and step in on escalations and architecture decisions while your engineers own most of the day-to-day. Your primary depth is in endpoint engineering; you have enough SaaS administration background to lead the apps side without micromanaging it. We’re looking for someone who knows endpoint work deeply and is ready to grow as a manager. Your title history matters less than technical foundation and how you work with people. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you’re interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve * Lead and develop your team. Manage and mentor four engineers (two on CPE, two on Apps). Set priorities, clear blockers, and help each person grow. * Own the client platform program. Set strategy and lead execution for Asana’s endpoint fleet: macOS, Windows, and mobile. This means MDM infrastructure, zero-touch deployment, software catalog, and OS lifecycle. We’re primarily an Apple shop with a growing Windows footprint. * Strengthen endpoint security. Work with the Corporate Security team to harden our endpoint posture, respond to incidents, and build initiatives that connect security priorities and endpoints. * Oversee the applications engineering function. Your Apps engineers manage the SaaS portfolio: Asana, Google Workspace, Slack, Zendesk, DocuSign, 1Password, Slab, Figma, and more. You set direction, stay close enough to catch problems early, and step in when something needs senior judgment. * Be the technical escalation. When a hard endpoint problem surfaces, an MDM decision needs to be made, or a cross-team initiative needs senior ownership, that’s you. * Push automation and efficiency. Spot opportunities to reduce manual work through scripting, APIs, and workflow tooling. Build the expectation that if something is repetitive, the team automates it. * Work across the organization. Partner with Corporate Security, HR, Legal, and other business teams to understand what they need, communicate what IT is building, and ship solutions that work. * Document and share knowledge. Make sure your team documents clearly and hands off processes that others can follow. About you * Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. * Experience managing client endpoint infrastructure: macOS and Windows required, mobile (iOS/Android) a strong plus. * Hands-on with MDM platforms like Jamf, Intune, BigFix, or AirWatch; familiar with zero-touch deployment methods. * Comfortable with identity platforms like Okta and how they connect to endpoint management. * Can write scripts in Bash or PowerShell; familiar with APIs and orchestration tools like Workato. * Enough SaaS administration experience — Google Workspace, Slack, and similar — to lead a team that owns it. * Some management experience. This is a good role for a senior engineer who has led projects or a small team and is ready for the next step. We care more about how you think technically and how you work with people than what your title has been. * You communicate clearly, prioritize in writing, and know when to solve a problem yourself and when to hand it off. At Asana, we’re committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you’re interested in this role and don’t meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we’re committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $194,000 - $220,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you’re interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: * Mental health, wellness & fitness benefits * Career coaching & support * Inclusive family building benefits * Long-term savings or retirement plans * In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you’re interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. #LI-Hybrid #LI-SA About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Principal Business Development Manager, Frontier AI Labs

Mongodb

The frontier AI labs are among the most consequential relationships MongoDB has. The platforms they build, the architectures they recommend, and the tools their ecosystems produce are shaping where AI applications get built and what infrastructure they run on. This role exists to make sure MongoDB wins at that layer. In this role, you will own the end-to-end relationship with MongoDB’s frontier model lab partners. That means building and maintaining executive relationships, working directly with Product to improve the developer experience through deeper integrations, and driving GTM execution on joint initiatives that create measurable outcomes for both sides. This is a senior individual contributor role. You will need to operate at the executive level with external partners while simultaneously driving internal alignment across Product, Engineering, Sales, and Marketing. The person who succeeds here combines sharp strategic instincts with the credibility and tenacity to get things done across complex organizations. We are looking to speak to candidates who are based in San Francisco for our hybrid working model. WHAT YOU’LL DO Executive Relationship Management * Own the executive and senior-level relationships with MongoDB’s frontier AI lab partners, operating as the primary point of contact and long-term relationship owner * Develop a deep understanding of each partner’s platform direction, product priorities, and ecosystem strategy, and use that knowledge to identify where MongoDB can win together * Represent MongoDB credibly and with authority in senior partner conversations, including product roadmap discussions, joint GTM planning, and executive business reviews Integration and Developer Experience * Partner with MongoDB’s Product and Engineering teams to identify, prioritize, and drive integrations that improve how developers build AI applications using both platforms together * Serve as the voice of the partner ecosystem inside MongoDB, surfacing developer experience gaps and integration opportunities that should inform the product roadmap * Ensure MongoDB is well-represented in how frontier lab partners document, recommend, and demonstrate solutions to their developer communities GTM and Joint Initiative Execution * Develop and execute joint go-to-market initiatives with frontier lab partners, including co-marketing programs, joint solution positioning, and field engagement that drives adoption and expansion * Identify synergistic opportunities where partner platform reach can accelerate MongoDB adoption, and build the business case and execution plan to pursue them * Track and report on the business impact of each partnership, including developer adoption signals, pipeline influence, and co-sell contribution Internal Alignment * Coordinate across Sales, Product, Marketing, and Engineering to ensure MongoDB is executing against partner commitments and maximizing each relationship * Bring external partner intelligence into internal planning cycles, connecting what you are hearing from the frontier labs to MongoDB’s roadmap, field strategy, and messaging WHO YOU ARE * Experienced: 12+ years in partnerships, business development, or product strategy at a technology company, with a track record of managing high-stakes, complex relationships at the executive level * Technically Credible: You understand AI application architecture well enough to have substantive product conversations with engineers and product leaders at frontier AI companies. You don’t need to build it, but you need to understand it deeply * Strategically Sharp: You can read where a partner’s platform is going before it is obvious, identify where MongoDB fits in that future, and build a compelling case for why winning together is the right path * Executional: You know how to move complex initiatives through large organizations. You build internal coalitions, hold workstreams accountable, and drive outcomes without relying on direct authority * Executive Presence: You are comfortable and effective at the senior leadership level, both externally with partner executives and internally with MongoDB’s own leadership * Clear and Direct: You communicate with precision. You can write a crisp exec brief, run a tight business review, and translate complex partner dynamics into a clear point of view SUCCESS MEASURES 3 Months Deep familiarity with MongoDB’s AI partner ecosystem, product direction, and internal stakeholders. Executive relationships established with priority frontier lab partners. Initial integration gaps and GTM opportunities identified and socialized internally 6 Months Active joint initiatives in motion with at least two frontier lab partners. Integration priorities aligned with MongoDB Product. Early signals of partner-driven developer adoption and pipeline influence 12 Months Measurable impact from frontier lab partnerships: developer adoption, co-sell contribution, and integration depth that makes MongoDB the clear choice for builders on these platforms. Strong, trusted executive relationships that give MongoDB strategic visibility into where these platforms are going ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. REQ ID: 2273450146 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $162,400—$203,000 USD