**About Baseten** Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. **THE ROLE** As an Engineering Manager (Player & Coach), you will lead and mentor a team of Forward Deployed Engineers focused on building, scaling, and optimizing LLM inference workloads for Baseten customers. Applying both hands-on technical ownership and managerial leadership, you will guide your team through the processes of designing, deploying, and managing high performance, low latency AI applications on Baseten’s platform. FDE at Baseten is not a sales function – we are a mix of engineering, product, and customer architects who contribute to the core Baseten codebase, drive large portions of our feature roadmap, and execute on complicated customer engagements. You will also partner with product, infrastructure, and other customer engineering teams to ensure that large language models (LLMs) and other generative AI systems deliver best-in-class performance, reliability, and cost efficiency in production environments. **EXAMPLE INITIATIVES** Take a look at these blog posts written by members of our Forward Deployed Engineering team:

*   Forward Deployed Engineering on the frontier of AI
*   The fastest, most accurate Whisper transcription
*   Deploy production-ready model servers from Docker images
*   Deploy custom ComfyUI workflows as APIs

**ResponsibilitiesLeadership & Team Management**

*   Lead, mentor, and grow a team of Forward Deployed Engineers, providing guidance on technical direction, project execution, and professional development.
*   Set clear goals and ensure timely, high-quality delivery across multiple customer-facing projects involving LLM deployment and inference optimization.
*   Collaborate with leadership to align team priorities with company and customer goals, balancing short-term delivery, widely varying customer priorities, and long-term technical initiatives.
*   Player-coach – While much of this role will be leading the team, you will also be expected to be a key driver on strategic product initiatives and customer engagements. The best managers derive credibility from being able to be hands-on when needed.

**Technical Ownership**

*   Develop and maintain software systems and product features using one or more general-purpose programming languages in a production-level environment, with a preference for Python due to its relevance in ML projects.
*   Drive customer impact by designing, implementing, and deploying Baseten solutions end-to-end (problem framing → evaluation → production deployment → monitoring). This involves working with customers’ engineering teams at every stage of the customer journey including: sales, implementation, and expansion.
*   Deliver with velocity: turn vague objectives into clear specs and well-defined PoCs so we can rapidly ship well-tested services and outcomes for our customers
*   Optimize and enhance AI/ML projects, contributing to the continuous improvement of our technical stack. This includes developing features and PRDs with other engineering and product orgs.
*   Own products and customer projects end-to-end, functioning as both an engineer, project manager, and product manager, with a focus on user empathy, project specification, and end-to-end execution.

**Requirements**

*   Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, or related field.
*   4+ years of professional software engineering experience, including 1+ year in a leadership or mentorship capacity.
*   Strong programming skills in Python, with production experience in building or optimizing ML inference systems.
*   Proven experience with LLMs, inference optimization, or serving frameworks (e.g., vLLM, TensorRT, Triton, Hugging Face, Ray Serve).
*   Familiarity with observability, profiling, and cost/performance tradeoffs in production ML systems.
*   Excellent communication and collaboration skills—able to lead cross-functional efforts and drive outcomes in ambiguous, fast-paced environments.

**BONUS POINTS**

*   Experience leading customer-facing engineering teams or working directly with enterprise partners.
*   Deep understanding of GPU infrastructure, distributed inference, or model compression techniques.

**Benefits**

*   Competitive compensation, including meaningful equity.
*   100% coverage of medical, dental, and vision insurance for employee and dependents
*   Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
*   Paid parental leave
*   Fertility and family-building stipend through Carrot
*   Company-facilitated 401(k)
*   Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

**Apply now** to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. _At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status._ _We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)._ Compensation Range: $260K - $380K

Engineering Manager, Forward Deployed Engineering (LLM)

Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo.io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members. **Role Overview** Apollo is looking for a startup-minded Engineering Manager to lead our Security Detection & Response team. You'll build and scale a team that ships detection systems, automations, and investigation tools at startup velocity—moving from concept to production in weeks, not months. This is a hands-on leadership role for someone who can coach engineers, make fast decisions with incomplete information, and stay close to the technical details while balancing speed with rigor. This role operates in a fully remote environment and requires excellent asynchronous communication, comfort with ambiguity, and the ability to ship fast and learn from what sticks. **Key ResponsibilitiesTeam Leadership & Engineering Culture**

*   Build, lead, and retain a high-performing remote Security Detection & Response team with clear expectations, strong onboarding, documentation, and knowledge-sharing practices.
*   Coach engineers to grow in technical depth, operational ownership, and leadership capability while prioritizing shipping velocity and iteration over perfection.
*   Define team culture around experimentation: ship detection rules quickly, measure effectiveness, iterate based on signal.
*   Partner closely with Engineering, Infrastructure, IT, Fraud, Legal, People, Support, and Product—translating security risk into business decisions and communicating impact clearly to both technical and non-technical stakeholders.

**Shipping Detection Systems & Content at Startup Velocity**

*   Define and evolve the Security Detection & Response strategy: what to build, when, and why. Prioritize ruthlessly; not every threat gets a detection.
*   Lead the team in shipping detection rules, MITRE ATT&CK-aligned use cases, investigation playbooks, and response automations with measurement and validation loops—but ship first, perfect later.
*   Oversee Panther detections and AI-assisted workflows for triage, enrichment, and response. Continuously measure coverage, precision, latency, and tuning effectiveness through safe rollout and attack simulation.
*   Drive Python-based tooling, Git-based workflows, and CI/CD practices to enable the team to ship detection content in days, not quarters.
*   Stay close to the technical work: code reviews, architecture decisions, and hands-on problem-solving alongside the team.

**Security Observability & Incident Response as Outcome**

*   Own end-to-end security observability: telemetry onboarding, signal quality, threat intelligence inputs, and alert tuning. Good detections prevent incidents.
*   Lead complex and high-severity incidents with clear decision-making and effective communication. Translate incident learnings into detection and response priorities for the next sprint.
*   Stay technically engaged in investigations across cloud infrastructure, SaaS platforms, corporate systems, and user behavior. Use incidents as teaching moments for the team and validation for detection strategy.
*   Work with Engineering and Infrastructure on telemetry pipelines and operational readiness. Ensure the team has the data they need to ship fast.

**Metrics & Impact**

*   Define and own strategy-aligned metrics: detection latency, coverage gaps, false positive rates, team velocity. Use data to inform priorities and stakeholder decisions.
*   Communicate security impact in business terms: what risks are you preventing, and what's the cost of being wrong?

**Required Skills & Experience**

*   5+ years in Security Detection & Response, Security Engineering, or Incident Response—hands-on experience building and shipping detection systems, not just managing incidents.
*   2+ years of people management, including hiring, coaching, and performance management, ideally in a remote-first environment.
*   Strong technical foundation: modern SIEM platforms, detection engineering, log analysis, threat intelligence workflows. Panther experience highly valued.
*   Python proficiency for automation, analysis, and internal tooling. You need to remain technically credible with your engineers and review code.
*   Comfort with startup velocity: able to make sound decisions with incomplete information, ship fast, iterate based on feedback, and know when "good enough" is good enough.
*   Git workflows, CI/CD practices, and experience building security content and automation pipelines as code.
*   Cloud-native and SaaS expertise: GCP preferred. Familiarity with Apollo's toolsets (Google Workspace, Okta, GitHub, Slack, Atlassian, Cloudflare, CrowdStrike, Kandji, Panther, Snowflake) strongly valued.
*   Excellent communication: You'll translate technical security work into business impact for executives and explain engineering trade-offs to non-technical stakeholders.

**Preferred Qualifications**

*   Experience leading Detection Engineering or Security Engineering teams in a high-growth cloud or SaaS startup environment (not just enterprises or government).
*   AI-assisted security workflows: You've used AI for triage, investigation, or response in production and know the limitations.
*   MITRE ATT&CK, threat intelligence workflows, and vulnerability management SLAs—but with a bias toward automation and shipping, not just compliance.
*   Relevant certifications such as CISSP, GCIA, GCIH, GCED, or cloud security certifications.
*   Track record of shipping fast: you've led teams that iterate weekly and measure success by velocity + signal.

The listed Pay Range reflects the total cash compensation inclusive of annual base salary and annual bonus as applicable. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonus target and annual base salary for the role. This salary range may be inclusive of several career levels at Apollo and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include: equity; company bonus or sales commissions/bonuses; 401(k) plan; at least 10 paid holidays per year, flex PTO, and parental leave; employee assistance program and wellbeing benefits; global travel coverage; life/AD&D/STD/LTD insurance; FSA/HSA and medical, dental, and vision benefits. Pay Transparency Range $225,400—$281,800 USD We are AI Native Apollo.io is an AI-native company built on a culture of continuous improvement. We’re on the front lines of driving productivity for our customers—and we expect the same mindset from our team. If you're energized by finding smarter, faster ways to get things done using AI and automation, you'll thrive here. Why You’ll Love Working at Apollo At Apollo, we’re driven by a shared mission: to help our customers unlock their full revenue potential. That’s why we **take extreme ownership** of our work, **move with focus and urgency**, and **learn voraciously** to stay ahead. We invest deeply in your growth, ensuring you have the resources, support, and autonomy to **own your role and make a real impact**. Collaboration is at our core—we’re **all for one**, meaning you’ll have a team across departments ready to help you succeed. We encourage **bold ideas and courageous action**, giving you the freedom to experiment, take smart risks, and drive big wins. If you’re looking for a place where your work matters, where you can push boundaries, and where your career can thrive—Apollo is the place for you. Learn more here!

Engineering Manager, Security Detection & Response

ezCater is the #1 food tech platform for workplaces in the US. The company makes it easy for any organization to manage its food needs and order from over 125,000 restaurants nationwide. For workplaces, ezCater provides flexible and scalable solutions for everything from employee meal programs to one-off meetings, all backed by 24/7 service and business-grade reliability. For restaurant partners, ezCater helps grow their business by bringing them new high-value customers and large orders. ezCater is a B2B marketplace for business catering. We are building a ground-up re-architecture of our platform – a headless, channel-agnostic core with AI as a cross-cutting layer. The stack is modern and intentional: Go, PostgreSQL, Kafka (MSK), Temporal, Vespa, SpiceDB, EKS. The front end is a first-class product — every API surface is designed to be consumed by multiple channels (marketplace, internal tools, partner API). You will lead Experience Engineering at ezCater – owning the front-end platform, ordering experience, and the full customer journey from discovery through cart, checkout, and draft order submission. This is not a front-end lead role. You own the experience layer that turns a headless API platform into a product that customers use and that AI agents transact through. You will lead three teams (Discovery Experience, Ordering Experience, and Front-End Platform) and report to the VP of Engineering. **What You'll Do**

*   Own front-end platform and architecture across Next.js (App Router), React, TypeScript, and Astro, including micro-frontend composition strategies, monorepo, shared design system, cross-MFE state management, and MFE shell orchestrator.
*   Define the opinionated path for building and deploying front-end applications — CI/CD, observability, accessibility, performance budgets, and contract testing — across both the marketplace and internal tools channels.
*   Own the full ordering experience from discovery, personalization, and menu browsing through cart, checkout, and payment, consuming headless backend APIs through BFF layers.
*   Drive AI-native front-end development, including design-to-code pipelines (Figma, Claude Design, v0), AI-assisted development against organizational context, and AI-powered product experiences such as personalized recommendations, intelligent search, and conversational ordering
*   Ensure front ends are machine-readable and API-first to serve AI agents alongside human users, with awareness of emerging commerce protocols (MCP, Universal Commerce Protocol)
*   Own the design system as infrastructure — design tokens, theming, cross-platform consistency — packaged and documented for both human engineers and AI code generation workflows
*   Lead and develop three engineering teams, scaling the organization as it grows; recruit and develop engineers and managers, including from minimal staffing
*   Hold a high technical bar: review front-end system designs, challenge architectural decisions, and identify performance issues from technical signals

**What You Have**

*   Demonstrated experience standing up front-end engineering organizations, not just inheriting them
*   Deep fluency in Next.js (App Router), React, TypeScript, and modern build tooling (e.g., Turborepo, Rspack), with hands-on architectural credibility
*   Experience leading multi-team web applications with micro-frontend architectures; strong opinions on composition strategies per journey stage and cross-MFE concerns (CSS isolation, state sharing, auth propagation, SSR vs. CSR, contract testing)
*   Ownership of a transactional customer journey — discovery, cart, checkout, payment — including BFF architectures and multiple customer types or ordering modes on a single platform
*   Practical AI fluency across front-end work: design-to-code workflows, AI-assisted testing, AI-powered product features, and the infrastructure that makes AI effective (component library docs, API contracts, repository context)
*   Design system experience — tokens, theming, cross-platform consistency, documentation for human and AI consumers
*   Expertise in performance and observability: Core Web Vitals, real user monitoring, and performance budgets enforced in CI
*   Experience leading engineering managers, developing teams, and making hard performance calls
*   Ability to travel up to 5 days per quarter for Together Weeks, team gatherings and other events, when applicable.

**Bonus Experience We'd Love To See**

*   Micro-frontend architectures in production (Multi-Zones, Module Federation, edge composition, Islands architecture)
*   Design-to-code pipelines integrating Figma, Claude Design, v0, or similar tools
*   Agentic or AI-powered commerce experiences
*   Internal tools unification under a shared MFE shell
*   Headless commerce architectures consuming OpenAPI contracts with event-driven updates
*   Cloudflare (Workers, reverse proxy, CDN optimization) for edge-based front-end routing
*   Familiarity with Go, Kafka/MSK, Temporal, or PostgreSQL — the backend your front end consumes

__The national total target_ _cash compensation range for this position, including base salary and bonus target, is $250,000–$334,000 annually.\*__

*   Please note: Final offer amounts are determined by multiple factors, including prior experience, expertise and region & may vary from the amount above. This range does not represent additional compensation benefits (such as equity, 401K or medical, dental or vision insurance).

ezCater does not sponsor applicants for work visas or legal permanent residence. **What You’ll Get From Us** You’ll get a terrifically compelling experience in an innovative, high performing environment. You’ll get to work with engaged and passionate colleagues on challenging and impactful projects. You will have opportunities to grow in your career, and work in a place that values work/life harmony. Oh, and you’ll get all this: Market competitive salary, stock options that you’ll help make worth a lot, 12 paid holidays, flexible PTO, 401K with ezCater match, health/dental/FSA, long-term disability insurance, mental health and family planning resources, remote-hybrid work from our awesome Boston office OR your home OR a mixture of both home and office, a tremendous amount of responsibility and autonomy, wicked awesome co-workers, employee meal program (and many more goodies) when you’re in our office, and knowing that you helped transform the food for work space. ezCater is an equal opportunity employer. We embrace humans of every background, appearance, race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, and disability status. At the same time, we do not employ jerks, even brilliant ones. Following a conditional offer of employment, ezCater may require a background check. For information on how ezCater collects and uses job applicants' personal information, please visit our Job Applicant Privacy Policy. #BI-Remote

Director of Engineering, Front-end and Ordering Platform (Remote)

**This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.** She will pick the best candidates from Jack's network. The next step is to speak to Jack. **Job Title** Director of Technical Delivery **Salary** $80k-$100k **Company Description** StrataBlue is a $2.3M revenue bootstrapped AI-first agency in Indianapolis building voice agents and workflow automation for mid-market home services operators and franchise groups. **Job Description** You will fix the bridge between sales and delivery by owning technical scoping, architecture, and quality assurance. As a hands-on leader, you'll join pre-sale calls to define feasibility, run technical discovery with mid-market clients, and enforce QA gates to ensure every build meets rigorous acceptance criteria before client delivery. **Location** Remote (US/Canada) **Why this role is remarkable**

*   True Architectural Authority: You own the full technical delivery loop and have the power to resize or decline work that cannot be delivered as sold.
*   High-Impact Bootstrapped Agency: Join a lean, $2.3M revenue team building cutting-edge voice AI and automation for a massive $5M-$100M home services market.
*   No Bureaucracy: Work directly with the Founder/CIO to build the delivery function from the ground up without corporate filler or management bloat.

**What You Will Do**

*   Produce feasibility memos for $25k+ deals, identifying client stack inventory, open unknowns, and delivery hour ranges with high-confidence bands.
*   Lead technical discovery sessions with client operations teams to create signed scoping documents featuring explicit out-of-scope lists and acceptance criteria.
*   Own the data warehouse and security layer while reviewing offshore developer commits weekly to ensure architectural integrity across all active engagements.

**The ideal candidate**

*   Proven background in agency, consulting, or professional services delivery with deep experience writing client-signed scoping documents and technical specifications.
*   Hands-on technical depth in API integrations (QuickBooks, NetSuite, HubSpot) and data engineering using Postgres, warehousing, and orchestration tools like n8n.
*   The backbone to tell a client "no" on feasibility and the communication skills to navigate working sessions with non-technical business owners.

**First 90 Days** In your first 90 days, you will establish the four core artifacts of our delivery engine: a standardized feasibility memo, a rigorous scoping document, an enforced QA gate process, and a formal change request reconciliation workflow. **Who are Jack & Jill?** Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. **How does this work?**

*   Jack's an AI agent for job searching and career coaching. He works for you.
*   Jill is the AI recruiter working for the company. She recruits from Jack's network.
*   If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.

**We never post fake jobs** This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

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