> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt. # Sr. ML Ops Engineer, Forward-Deployed Canonical URL: https://nextmove.md/fde/jobs/06ba4bd7675e00f2 6sense posts a senior FDE role to build what the customer runs, remote, hiring in California, at $191,475–$260,830 base, above the senior FDE median of $190,000 across 1,864 postings with pay. Productionize customer-tailored predictive models with validation, release, monitoring, and rollback paths. Read from the employer’s posting on November 8, 2026. - [6sense](https://nextmove.md/fde/companies/6sense) Posted Oct 27, 2026 by 6sense · open on Greenhouse as of Nov 8, 2026 **$191,475–$260,830** Remote, hiring in California Full-time Productionize customer-tailored predictive models with validation, release, monitoring, and rollback paths. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F06ba4bd7675e00f2&placement=top) - [View posting at 6sense](https://boards.greenhouse.io/6sense/jobs/8304088?gh_jid=8304088) Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so. ## At a glance ### Posted base pay $191K–$261K Above the median Midpoint $226K · median $190K This job $191K to $261K. Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K. ### The work Builds what the customer runs Balance **Mostly building** Project stages 1. Pre-sales (not covered) 2. Proof of concept (not covered) 3. Implementation 4. Operations - **Coding**: Writes production code - **Builds for**: Both - **Level**: Senior - **Role**: Individual contributor ### What they ask for Experience - **6+ years** MLOps, ML platform engineering, backend engineering, full-stack engineering, or related production engineering roles Background - **Software engineering** ### Do you meet what the posting states? The posting asks for 6+ years. How many do you have? The posting reads as a senior role. What level are you at now? The work is remote from the US. Can you work from the US? Which of these have you used in production? Answer each one. Nothing is saved or sent. [What postings ask for, by background →](https://nextmove.md/fde/paths) ## Conditions - **Location**: San Francisco, CA - **Work arrangement**: Remote - **Remote work restrictions**: United States - **Employment type**: Full-time - **Pay**: ## More like this [Databricks](https://nextmove.md/fde/companies/databricks) ### [Sr. Forward Deployed Engineer - Public Sector](https://nextmove.md/fde/jobs/440870dea6def209) Berkeley, CA · Kansas City, MO · +1 more Remote New · 2d ago $182,000–$250,208 [Roboflow](https://nextmove.md/fde/companies/roboflow) ### [Forward Deployed Engineer](https://nextmove.md/fde/jobs/d8c0abf8214d490b) New York, NY · San Francisco, CA Remote 5mo ago $180,000–$250,000 [Prime Intellect](https://nextmove.md/fde/companies/prime-intellect) ### [Applied Researcher - Forward-Deployed RL](https://nextmove.md/fde/jobs/0ed15e783d00992e) San Francisco, CA · New York, NY Remote 2w ago $150,000–$300,000 - [Other jobs at 6sense (3)](https://nextmove.md/fde/companies/6sense) ## The job description from 6sense Posted by 6sense on Oct 27, 2026 ### Our Mission 6sense's mission is to multiply what matters: growth, retention, and efficiency. We envision a future where companies, teams and people reach their full potential. ### Our People People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Win as One Team, Stay Curious, Do The Right Thing, Own the Outcome, and Create Belonging. Every 6sensor plays a part in defining the future of our industry-leading technology. 6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers. We want 6sense to be the best chapter of your career. ### Senior MLOps Engineer, Forward Deployed Forward Deployed Engineering · Predictive track · Senior **TEAM** Forward Deployed Engineering (FDE), Predictive track, in Data Science & AI Engineering **REPORTS TO** MLOps engineering lead **LEVEL** Senior (6+ years) **LOCATION** United States ### THE ROLE IN ONE PARAGRAPH This is a hands-on MLOps engineering role. You will work across model training and refresh workflows, APIs, orchestration, data pipelines, production monitoring, and user-facing experiences such as model dashboards and training controls. When a customer needs a better model, a refresh workflow, or visibility into model health, you will help make it real: build the experience, connect it to reliable backend systems, validate the outcome, and operate it safely in production. You'll be our first MLOps engineer in the US, working closely with the MLOps team in India so customer work reaches production in days, not weeks. Most of your work is behind the scenes, with customer conversations when the technical details matter. ### What You'll Do ### Build for the customer - Productionize customer-tailored predictive models, configurations, and scoring workflows with validation, release, monitoring, and rollback paths. - Build and improve UI workflows for training triggers, model refreshes, validation outcomes, model status, and operational troubleshooting. - Enhance model dashboards that make model health, score changes, data quality, refresh status, and production issues understandable to internal users and customers. - Build or modify the APIs, backend services, data contracts, and orchestration workflows behind those experiences. - Automate model retraining, validation, promotion, and deployment workflows for customer engagements. - Create safeguards for data quality, score distributions, threshold changes, and edge cases before model changes reach production. - Monitor models and services for drift, data shifts, reliability issues, and operational regressions. ### Productize for everyone - Turn repeatable customer solutions into reusable product and platform capabilities with Product, Data Science, and Platform Engineering. - Build deployment templates, reusable workflow components, and configuration-driven interfaces that support many customers without one-off operational work. - Create self-service or assisted tools for teams to initiate training, monitor refreshes, review validation results, and troubleshoot model issues safely. - Improve the MLOps platform where needed, including Kubernetes workloads, compute, pipelines, CI/CD, deployment tooling, and observability. - Establish clear runbooks, release checklists, audit trails, and support processes for model operations. - Identify recurring customer pain points and convert them into product requirements, platform improvements, or durable operational tooling. ### What You'll Bring - 6+ years of experience in MLOps, ML platform engineering, backend engineering, full-stack engineering, or related production engineering roles. - Experience owning machine-learning systems in production, including training, deployment, monitoring, retraining, and incident response. - Strong Python and SQL skills, including APIs, backend services, asynchronous workflows, testing, CI/CD, and observability. - Experience building or materially contributing to internal tools, operational dashboards, or customer-facing product workflows. - Comfortable debugging across the stack: UI, APIs, workflows, data pipelines, model artifacts, and production infrastructure. - Experience releasing changes safely across multiple customers or production environments, including staged rollout, impact checks, and rollback. - Working knowledge of Kubernetes and cloud infrastructure. - Strong communication and judgment when balancing customer urgency, usability, reliability, and long-term maintainability. - Nice to have: Fast API and Frontend experience. - Airflow, Spark, MLflow, model registries, feature pipelines, or workflow orchestration. - AWS, S3, Hive, distributed compute, and multi-tenant SaaS experience. - Forward-deployed, consulting, solutions, implementation, or customer-facing engineering experience. - B2B SaaS, go-to-market data, or predictive modeling experience. ### What Success Looks Like ### Within 3 months - Understand the predictive-model lifecycle and improve at least one meaningful deployment, support, or visibility bottleneck. - Bring clear release, monitoring, and support plans to active customer model engagements. ### Within 6 months - Common training, refresh, validation, and deployment workflows are materially more automated. - Model dashboards or internal workflows provide clear visibility into model status, health, and refresh progress. - Customer model changes move to production faster, with stronger operational controls. ### Within 12 months - At least one customer-specific solution has become a reusable product or platform capability. - The team can reliably deliver and operate customer-tailored models without fragile manual processes or overnight handoffs. **Why this role is different:** You won’t only maintain ML infrastructure. You’ll build the product experiences and production systems that make predictive models easier to launch, understand, refresh, and trust—then turn what works for one customer into something that benefits many. Base Salary Range: $191,475.00 - $260,830.00 . The base salary range represents the anticipated low and high end of the base salary range for this position. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location and experience. The base salary is one component of 6sense’s total compensation package for this position. Other compensation may include a bonus program or commission plan, and stock options if approved by 6sense’s board. In addition, 6sense provides a variety of benefits, including generous health insurance coverage, life, and disability insurance, a 401K employer matching program, paid holidays, self-care days, and paid time off (PTO). #Li-remote Notice of Collection and Use of Personal Information for California Residents: California Recruitment Privacy Notice and Policy ### Our Benefits Full-time employees can take advantage of health coverage, paid parental leave, generous paid time-off and holidays, quarterly self-care days off, and stock options. We’ll make sure you have the equipment and support you need to work and connect with your teams, at home or in one of our offices. We have a growth mindset culture that is represented in all that we do, from onboarding through to numerous learning and development initiatives including access to our LinkedIn Learning platform. Employee well-being is also top of mind for us. We host quarterly wellness education sessions to encourage self care and personal growth. From wellness days to ERG-hosted events, we celebrate and energize all 6sense employees and their backgrounds. ### Equal Opportunity Employer 6sense is an Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to jobs@6sense.com. *We are aware of recruiting impersonation attempts that are not affiliated with 6sense in any way. All email communications from 6sense will originate from the @6sense.com domain. We will not initially contact you via text message and will never request payments. If you are uncertain whether you have been contacted by an official 6sense employee, reach out to jobs@6sense.com * [View posting at 6sense](https://boards.greenhouse.io/6sense/jobs/8304088?gh_jid=8304088) ## About 6sense 6sense combines B2B buying signals and predictive models to help revenue teams identify in-market accounts and coordinate marketing, sales, and AI-agent actions. Late-stage private · 1000–2000 people ## Similar jobs [Monte Carlo](https://nextmove.md/fde/companies/monte-carlo) ### [Applied Forward Deployed Engineer (Post-Sales)](https://nextmove.md/fde/jobs/4593abbbddffbf3a) US Remote New · Yesterday $140,000–$180,000 [NVIDIA](https://nextmove.md/fde/companies/nvidia) ### [Senior MLOps Engineer - DSX Enablement](https://nextmove.md/fde/jobs/d111a9977bdaacbb) Santa Clara, CA · Seattle, WA · US remote Remote 2mo ago $184,000–$356,500 [ServiceNow](https://nextmove.md/fde/companies/servicenow) ### [Forward Deployed Solution Engineer – Applied AI FDE](https://nextmove.md/fde/jobs/1a6269874b4bdbd0) Santa Clara, CA Remote 4w ago $201,300–$352,300 [OpenAI](https://nextmove.md/fde/companies/openai) ### [Applied AI Engineer, Enterprise - EDU](https://nextmove.md/fde/jobs/4b0baa0ee913def4) New York, NY · San Francisco, CA Remote New · Yesterday $251,000–$278,000 [Gray Swan](https://nextmove.md/fde/companies/gray-swan) ### [Senior Forward Deployed Engineer – Enterprise](https://nextmove.md/fde/jobs/2f8298f975b489cb) San Francisco, CA Remote 2mo ago $175,000–$220,000 - [Compare senior FDE salary ranges](https://nextmove.md/fde/salary/senior) - [Similar jobs in SF Bay Area](https://nextmove.md/fde/jobs?region=sf-bay-area) - [Similar jobs that build what the customer runs](https://nextmove.md/fde/jobs?role=builds-for-customers) Hiring at 6sense and want this page changed or removed? 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