AI Ops Technical Leader Job at Lingaro

Staff Machine Learning Engineer

Machine Learning Engineers at Rocket Money further our mission by building produ...

Location

United States , San Francisco; Washington, D.C.; New York City; Silver Spring; Miami; Denver

Salary:

210000.00 - 260000.00 USD / Year

Truebill

Expiration Date

Until further notice

Requirements

8+ years of professional experience in machine learning engineering or data science roles
Proven track record of designing and implementing ML systems at consumer tech scale and speed
Extensive hands-on experience integrating ML and AI methods into production workflows, including creating evaluation tooling and effective user feedback mechanisms
Experience with prompt engineering and management, creating robust systems for testing and optimizing LLM-based applications
Expert-level proficiency in Python, SQL, and at least a handful of common ML frameworks
Understanding of ML methods at a fundamental level
Master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation
Owned the development, launch, and maintenance for several scaled ML/AI powered product experiences
Understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments
Technical leader who can identify both emergent technical opportunities and gaps relative to best practice

Job Responsibility

Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite
Design, implement, and maintain robust evaluation frameworks
Develop novel new product experiences
Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams
Provide technical mentorship

What we offer

Health, Dental & Vision Plans
Competitive Pay
401k Matching
Unlimited PTO
Lunch daily (in-office only)
Snacks & Coffee (in-office only)
Commuter benefits (in-office only)
Bonus

Fulltime

Senior Solutions Consultant, Agentic AI

We seek an exceptional Senior Solutions Consultant, Agentic AI (Presales) based ...

Location

United States , New York

Salary:

110000.00 - 140000.00 USD / Year

Workato

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field, or equivalent hands-on experience in AI development
Proven track record as an AI Engineer, with portfolio examples of successful machine learning or AI projects
06-10 years of pre-sales experience in a SaaS/iPass organization
Familiarity with LLMs and has directly interacted with the development or support of chat based AI applications
Strong understanding of prompt engineering, RAG, vector databases, function calling, chain of prompt reasoning, and other state of the art techniques to improve LLM behavior and performance
Hands-on experience using OpenAI, Azure OpenAI, Google Gemini, Amazon Bedrock and Anthropic. Good working knowledge of these APIs as opposed to just chat based interfaces like Claude and ChatGPT
Hands-on experience with iPaaS technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and Databases
Knowledge of python programming (or understanding/familiarity with object-oriented programming)
Ability to learn new concepts, and technologies to solve problems
Excellent presentation abilities and composure in front of all levels of technical and business audiences

Job Responsibility

Collaborate with cross-functional customer teams, including data scientists and software engineers, AI leaders, and Architects, to show how Workato Agentic can change their work
Effectively team with Sales AEs, Solution Architects, and other functions to evangelize our Agentic and AI capabilities, our approach to delivering Workato Agent solutions and AI infused use cases, and architecture tailored to the customer’s AI use cases
Articulate and educate on AI, Generative AI and Agentics architectural concepts to a variety of audiences, including digital leaders, AI engineer, prompt developers, data architects, enterprise architects, IT ops and line of business, marketing Ops, Finance Ops, People Ops etc
Assist sales teams with technical discovery with customer prospects and be able to architect/build AI blue print solutions using Workato products
Create and deliver custom product demonstrations, AI Agentic use cases
Support solution accounts to execute technical workshops and proof of concepts (POCs), on-site or remote
Able to respond to functional and technical elements of RFIs/RFPs
Collect feedback from the field, synthesize, analyze, and channel it to product management and engineering for the AI agentic product roadmap
Support Marketing with developer marketing and evangelism activities, including writing blogs, participating in demo-driven webinars, and speaking at industry events
Stay updated on the latest Agentics, AI and machine learning advancements, research papers, and tools, incorporating them into AI development projects

Senior Solutions Consultant, Agentic AI

We seek an exceptional Senior Solutions Consultant, Agentic AI (Presales) based ...

Location

United States , New York

Salary:

110000.00 - 140000.00 USD / Year

Workato

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field, or equivalent hands-on experience in AI development
Proven track record as an AI Engineer, with portfolio examples of successful machine learning or AI projects
06-10 years of pre-sales experience in a SaaS/iPass organization
Familiarity with LLMs and has directly interacted with the development or support of chat based AI applications
Strong understanding of prompt engineering, RAG, vector databases, function calling, chain of prompt reasoning, and other state of the art techniques to improve LLM behavior and performance
Hands-on experience using OpenAI, Azure OpenAI, Google Gemini, Amazon Bedrock and Anthropic. Good working knowledge of these APIs as opposed to just chat based interfaces like Claude and ChatGPT
Hands-on experience with iPaaS technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and Databases
Knowledge of python programming (or understanding/familiarity with object-oriented programming)
Ability to learn new concepts, and technologies to solve problems
Excellent presentation abilities and composure in front of all levels of technical and business audiences

Job Responsibility

Collaborate with cross-functional customer teams, including data scientists and software engineers, AI leaders, and Architects, to show how Workato Agentic can change their work
Effectively team with Sales AEs, Solution Architects, and other functions to evangelize our Agentic and AI capabilities, our approach to delivering Workato Agent solutions and AI infused use cases, and architecture tailored to the customer’s AI use cases
Articulate and educate on AI, Generative AI and Agentics architectural concepts to a variety of audiences, including digital leaders, AI engineer, prompt developers, data architects, enterprise architects, IT ops and line of business, marketing Ops, Finance Ops, People Ops etc
Assist sales teams with technical discovery with customer prospects and be able to architect/build AI blue print solutions using Workato products
Create and deliver custom product demonstrations, AI Agentic use cases
Support solution accounts to execute technical workshops and proof of concepts (POCs), on-site or remote
Able to respond to functional and technical elements of RFIs/RFPs
Collect feedback from the field, synthesize, analyze, and channel it to product management and engineering for the AI agentic product roadmap
Support Marketing with developer marketing and evangelism activities, including writing blogs, participating in demo-driven webinars, and speaking at industry events
Stay updated on the latest Agentics, AI and machine learning advancements, research papers, and tools, incorporating them into AI development projects

Senior Solutions Consultant, Agentic AI

We seek an exceptional Senior Solutions Consultant, Agentic AI (Presales) based ...

Location

United States , Palo Alto

Salary:

110000.00 - 140000.00 USD / Year

Workato

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field, or equivalent hands-on experience in AI development
Proven track record as an AI Engineer, with portfolio examples of successful machine learning or AI projects
06-10 years of pre-sales experience in a SaaS/iPass organization
Familiarity with LLMs and has directly interacted with the development or support of chat based AI applications
Strong understanding of prompt engineering, RAG, vector databases, function calling, chain of prompt reasoning, and other state of the art techniques to improve LLM behavior and performance
Hands-on experience using OpenAI, Azure OpenAI, Google Gemini, Amazon Bedrock and Anthropic. Good working knowledge of these APIs as opposed to just chat based interfaces like Claude and ChatGPT
Hands-on experience with iPaaS technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and Databases
Knowledge of python programming (or understanding/familiarity with object-oriented programming)
Ability to learn new concepts, and technologies to solve problems
Excellent presentation abilities and composure in front of all levels of technical and business audiences

Job Responsibility

Collaborate with cross-functional customer teams, including data scientists and software engineers, AI leaders, and Architects, to show how Workato Agentic can change their work
Effectively team with Sales AEs, Solution Architects, and other functions to evangelize our Agentic and AI capabilities, our approach to delivering Workato Agent solutions and AI infused use cases, and architecture tailored to the customer’s AI use cases
Articulate and educate on AI, Generative AI and Agentics architectural concepts to a variety of audiences, including digital leaders, AI engineer, prompt developers, data architects, enterprise architects, IT ops and line of business, marketing Ops, Finance Ops, People Ops etc
Assist sales teams with technical discovery with customer prospects and be able to architect/build AI blue print solutions using Workato products
Create and deliver custom product demonstrations, AI Agentic use cases
Support solution accounts to execute technical workshops and proof of concepts (POCs), on-site or remote
Able to respond to functional and technical elements of RFIs/RFPs
Collect feedback from the field, synthesize, analyze, and channel it to product management and engineering for the AI agentic product roadmap
Support Marketing with developer marketing and evangelism activities, including writing blogs, participating in demo-driven webinars, and speaking at industry events
Stay updated on the latest Agentics, AI and machine learning advancements, research papers, and tools, incorporating them into AI development projects

New

Customer Operations Leader

We power Plaid’s growth by streamlining go-to-market strategy, tools, and proces...

Location

United States

Salary:

121296.00 - 270000.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

8+ years in customer operations, support operations and/or product operations
Proven track record building or scaling operations/enablement teams that support technical, customer-facing functions (Support, Sales Engineering, Technical Account Management, Professional Services) with measurable impact on efficiency, quality, and customer outcomes
Strong program management skills: experienced in setting roadmaps, prioritizing across stakeholders, and driving complex cross-functional initiatives end-to-end
Experience owning or heavily influencing technical enablement, product roadmaps and sprint planning
Comfort working with data, tooling, and AI
Excellent communication, cross-functional and change management skills
able to context-switch between frontline detail and executive-level narrative and get buy-in across multiple stakeholders
A customer-first approach grounded in Plaid’s principles

Job Responsibility

Hire, lead, and develop a high-performing CES Ops team through clear vision, goals, operating cadence, and standards for excellence
Develop learning programs that keep this organization on the cutting edge of our field – from AI adoption, technical proficiency, industry knowledge and professional skill development
Own technical documentation and knowledge programs internally and externally using data from front-line teams, tickets and customer interactions to improve content and deflection
Align with GTM, Product and Product Marketing on product launch strategies, readiness criteria, enablement plans,
Lead a “Voice of Customer” program using insights from all CES teams and customer feedback to drive technical improvements in our product areas and increase product adoption
Guide our CES Ops Engineering team to improve efficiency of the CES team using AI, closing workflow gaps, prioritizing tooling and self-service in partnership with CGX, Product Areas and others
Define and track core CES Ops metrics (e.g., time to technical proficiency, enablement quality, team confidence, adoption, support efficiency) with an operating cadence that drives continuous improvement
Own the project management (from vendor selection, compliance, project plan, rollout, adoption, measurement, etc.) of new tooling and experiments
Partner on org design and development for CES including role clarity, in-person connection, career paths, and talent programs that support a high-performing, inclusive, and scalable organization

Fulltime

Customer Engineering and Support (CES) Operations Leader

We ensure cross-functional coordination and increase efficiency across Plaid to ...

Location

United States , San Francisco; New York

Salary:

121296.00 - 214800.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

8+ years in customer operations, support operations and/or product operations
Proven track record building or scaling operations/enablement teams that support technical, customer-facing functions (Support, Sales Engineering, Technical Account Management, Professional Services) with measurable impact on efficiency, quality, and customer outcomes
Strong program management skills: experienced in setting roadmaps, prioritizing across stakeholders, and driving complex cross-functional initiatives end-to-end
Experience owning or heavily influencing technical enablement, product roadmaps and sprint planning
Comfort working with data, tooling, and AI
Excellent communication, cross-functional and change management skills
able to context-switch between frontline detail and executive-level narrative and get buy-in across multiple stakeholders
A customer-first approach grounded in Plaid’s principles

Job Responsibility

Hire, lead, and develop a high-performing CES Ops team through clear vision, goals, operating cadence, and standards for excellence
Develop learning programs that keep this organization on the cutting edge of our field – from AI adoption, technical proficiency, industry knowledge and professional skill development
Own technical documentation and knowledge programs internally and externally using data from front-line teams, tickets and customer interactions to improve content and deflection
Align with GTM, Product and Product Marketing on product launch strategies, readiness criteria, enablement plans
Lead a “Voice of Customer” program using insights from all CES teams and customer feedback to drive technical improvements in our product areas and increase product adoption
Guide our CES Ops Engineering team to improve efficiency of the CES team using AI, closing workflow gaps, prioritizing tooling and self-service in partnership with CGX, Product Areas and others
Define and track core CES Ops metrics (e.g., time to technical proficiency, enablement quality, team confidence, adoption, support efficiency) with an operating cadence that drives continuous improvement
Own the project management (from vendor selection, compliance, project plan, rollout, adoption, measurement, etc.) of new tooling and experiments
Partner on org design and development for CES including role clarity, in-person connection, career paths, and talent programs that support a high-performing, inclusive, and scalable organization

Fulltime

Platform Product Manager - Enterprise Hosting Services

The Platform Product Manager is a technically fluent product manager who will dr...

Location

India; Poland , Bengaluru; Poznan

Salary:

279750.00 - 466250.00 PLN / Year

GSK

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, engineering or a related technical field
15+ years of experience in platform product management, cloud/infrastructure engineering, observability, AI/ML or similar technical environments
Proven product management skills, including customer and stakeholder research, strategic roadmap development, prioritization, translating business requirements to technical teams, user experience, product adoption and data-driven decision making
Experience defining strategy for modern platforms architectures and hands-on experience with technologies enabling AI and ML Ops
Technical experience with cloud-native architectures (e.g., Azure, GCP) and platforms such as Vertex AI, Agentspace or similar AI platforms
Understanding of responsible AI frameworks, compliance requirements, governance and risk mitigation in technical platforms
Knowledge of financial governance concepts (FinOps tagging, usage transparency, cost controls)
Experience working within Agile delivery teams and iterative product development
Demonstrated ability to influence and lead across business, engineering, architecture, security and compliance teams
Exceptional written, verbal and storytelling communication skills with the ability to simplify and articulate complex technical concepts

Job Responsibility

Define and maintain a clear, forward-looking product roadmap for infrastructure platforms including AI for Technology Operations, Cloud/Edge Platforms and Connectivity in alignment with enterprise priorities
Develop and execute a strategy to operationalize platform capabilities, making them easy to discover, adopt, and integrate across product and engineering teams
Drive a self‑service-first experience by delivering frictionless onboarding, automated provisioning, and reusable components—including templates, integrations, and APIs—that enable teams to adopt and use the platform with ease
Drive platform adoption and ensure users derive value
Drive continuous improvement of platform usability based on customer feedback, data, and adoption patterns
Ensure platforms provide a great user experience by providing clear onboarding paths, high quality documentation and tutorials, integrated observability & usage insights and responsive support and feedback loops
Prioritize features, enhancements, and technical investments balancing business value, user productivity, risk, engineering capacity and long-term architectural direction
Maintain a strong understanding of platform architecture, data movement and platform constraints to inform roadmap decisions
Monitor platform performance, health, reliability, adoption, and cost to ensure accountability for outcomes and inform roadmap adjustments
Provide input into technical discussions and design reviews to guide informed platform choices

What we offer

private healthcare
additional paid days off
life insurance
private pension plan
fully paid parental leave & care of family member leave
bonus (if applicable and based on defined, non-discretionary criteria)
awards for exceptional performance (granted at the employer’s discretion)

Fulltime

AI & Cloud Sales Specialist

At Cloudera, we empower people to transform complex data into clear and actionab...

Location

Salary:

Not provided

Cloudera

Expiration Date

Until further notice

Requirements

10+ years in enterprise software / cloud / data selling (AE, overlays, or specialist roles), with a track record in complex, multi-stakeholder deals
Fluency in German is essential for this role
Proven experience opening, shaping, and closing Deals (Cloud, Data, AI/ML, Analytics, or similar)
Proven experience of managing and growing cloud consumption within a set of customers or region
Comfortable being the “AI person” in the room—you don’t need to be able to write code, but you can credibly talk about AI, agents, LLM-driven use cases, and why architecture + economics matter
Strong hunting muscle: you know how to work account lists, partners, and existing customer base to create net-new opportunities, not just wait for inbound
Field-friendly style: you know how AEs, SEs, CSMs, and Partners really work, and you’re good at co-selling without stepping on toes
Executive-level communication: you can simplify complex ideas for executives, tell a clear business story, and connect AI to outcomes in plain language
Hands-on knowledge of the big data ecosystem, including selling or delivering data warehousing, data engineering, data in motion, operational databases, and/or machine learning technologies
BA/BS or equivalent educational background with an ability to operate independently in an entrepreneurial environment

Job Responsibility

Be the sales expert helping shape customer decisions to buy and adopt Cloudera AI & Cloud technology, serving as a thought leader and trusted advisor to CEMEA field sales teams
Own AI & Cloud pipeline and bookings in your patch: Align to a VP and drive sourced and influenced AI & Cloud pipeline across your region (CEMEA). Own AI & Cloud specific booking and consumption targets. Own and Manage the Forecast for your region. Deliver incremental Revenue through use case adoption with existing customers and new logos via Opportunity owndership
Be the AI & Cloud face to our largest accounts: Act as the go-to AI & Cloud Sales specialist for strategic & enterprise accounts. Lead AI-focused discovery, whiteboards, and value conversations with client personas, and line-of-business owners. Expand beyond traditional IT
help account teams reach new AI & Cloud buyers in the business
Run AI & Cloud Sales plays, end-to-end: Use our key sales plays as your primary motions to Open: land meetings using TALs, cadences, campaigns and events. Prove: design and sell funded pilots (vHOLs, Jumpstarts, Builder Series). Close: convert pilots to production and incremental ARR / consumption. Make sure every serious AI & cloud conversation ends with clear next steps: workshop, vHOL, pilot, or POV
Partner across SEs, PS, VM and Cloud Ops: Team with SEs for deep technical validation, architecture sessions, and competitive proof. Align with PS to bundle delivery motions (Jumpstart, Builder Series, Hackathon/vHOL) into every deal. Use Cloud / Field Ops dashboards to track your AI & Cloud pipeline, pilots, wins, and consumption impact

What we offer

Generous PTO Policy
Support work life balance with Unplugged Days
Flexible WFH Policy
Mental & Physical Wellness programs
Phone and Internet Reimbursement program
Access to Continued Career Development
Comprehensive Benefits and Competitive Packages
Paid Volunteer Time
Employee Resource Groups

Fulltime

AI Ops Technical Leader

Lingaro

Location:
Philippines

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 18, 2026

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