Technical-Account-Manager, Customer-Success-Manager, Solutions-Engineer Jobs

About AMMP

AMMP builds software for the renewable energy sector: AMMP OS, the operating system for renewable energy portfolios. Developers, EPCs, asset owners, O&M providers and finance teams use it to monitor, operate and report on their sites. It connects 30+ inverter, battery and meter brands and covers 10,000+ sites in 35+ countries, many of them multi-vendor fleets.

We build the product with our customers, and their day-to-day problems set the roadmap (a missed outage, a savings report that takes a week to compile). In 2026 we launched Ray, an AI coworker that sits in Teams or Slack and answers questions about a customer's fleet in plain language. We're a small team, working remotely.

What you'll do

Onboarding (roughly 40% of your time)

• Run kickoff calls and collect what we need from each customer: site lists, vendor API credentials, PV orientation, target yield from PVsyst or Helioscope.

• Set up new organisations and assets in AMMP OS; connect vendor APIs, and data source selection.

• Configure and manage AMMP OS platform tailored to the customer's operation

• Test end to end before handover, then invite users and set their permissions.

• Work closely with other teams including but not limited to Software and Product Team.

Adoption and account health

• Track feature adoption and a health score for each account; we have a framework drafted and need someone to run it.

• Run quarterly check-ins with key accounts. Train users when adoption drops below target.

• Spot expansion: more MWp, an added module, Ray, the Data API.

Support

• Be the first point of contact.

• Triage data gaps, missing telemetry and billing questions; use our AI agents for first-line investigation and escalate the rest.

Renewals and feedback

• Feed recurring customer requests into the product backlog, with a clear write-up of who asked and why.

• Help us make onboarding faster. Today a 6-vendor customer takes about 10 hours of asset setup plus 20 hours of dashboard work; we want that number to fall.

What you'll bring

Must-haves

• 3+ years in customer success, technical account management or solutions engineering at a B2B SaaS company.

• Comfort with data. You can read an API response, write a basic SQL query, and spot when a number looks wrong.

• Clear written English; you'll write to customers in 35+ countries.

• You finish things. Onboarding has a lot of small steps, and missing one breaks the customer's first impression.

Nice-to-haves

• Experience with battery storage, gensets or hybrid systems.

• Working knowledge of solar PV: you know what an inverter, PR and yield are, and why a site underperforms.

• Grafana, Looker Studio or a similar BI tool.

• Python or Jupyter notebooks for small data jobs.

• Familiarity with inverter portals.

• Experience in emerging markets, especially sub-Saharan Africa or Latin America.

• French, Portuguese or Spanish.

What we offer

• A real say in how customer success works here; you'd be building the playbook, not following one.

• Work that cuts emissions: every site we monitor is solar or storage replacing diesel or grid power.

• A team that already uses AI agents in daily work, so you spend less time on copy-paste setup.

• Remote work and flexible hours.

• Salary: EUR 15,000-25,000/year

Originally posted on Himalayas

At Comet, our mission is to empower organizations to drive meaningful business value by unlocking the full potential of AI. As a leader in the MLOps and GenAI space, Comet provides the essential platform for AI developers to accelerate innovation. From the data scientist tracking deep learning training runs, to the enterprise team deploying hundreds of models to production, to individuals and teams developing Generative AI applications, Comet is the platform used by the most innovative builders in the industry.

We are seeking a Technical Account Manager (TAM) to serve as the primary technical and strategic partner for our customers post-sale. This is a hybrid role, blending the technical depth of a TAM with the relationship ownership of a Customer Success Manager: you will onboard and enable new customers, provide hands-on AI/ML expertise (including on agentic AI systems), and act as a trusted advisor and extension of the customer's own team throughout their lifecycle with Comet. In addition to driving adoption and resolving technical challenges, you will identify and support expansion opportunities and help ensure customers renew while working with the Sales/ Account team.

As a TAM (fully remote in North America), you will own a portfolio of assigned accounts end-to-end, from onboarding through steady-state usage to growth, working closely with a broad set of customer stakeholders to demonstrate the value delivered through Comet's software and services while building durable, trusted relationships. You will also serve as the internal voice of the customer, advocating on their behalf and collaborating with Customer Engineering, Deployment Engineering, Sales, Marketing, and Product to drive alignment and continuous improvement.

Beyond customer engagement, you will contribute to key initiatives, processes, tools, and programs that scale Comet's impact as we grow. This role reports directly to the Head of Customer Success and is measured by key metrics, including customer satisfaction, product adoption, retention, and expansion revenue.

Join us in shaping the future of AI by helping organizations build, deploy, and scale transformative models with confidence.

Who you are:

• Technical Account Manager, Customer Success Manager, Customer Success Engineer, Sales Engineer, Forward Deployed Engineer, or Solutions Architect in the AI/ML space.
• Data Science consultant for a top consulting firm.
• Data Scientist, ML Engineer or Agentic AI/AI Engineer with other customer-facing experience.

Responsibilities:

• Own a portfolio of global accounts, including some of the world's leading organizations in financial services, insurance, pharmaceuticals, transportation, and technology, as their primary point of contact post-sale.
• Lead new customer onboarding and enablement, ensuring teams are set up for success on the Comet platform from day one.
• Drive value for customers by helping them achieve their business and technical outcomes, becoming a trusted advisor and de facto extension of their team.
• Gain a deep understanding of each customer's use cases and machine learning goals, including agentic AI and multi-agent systems, to ensure Comet is strategically aligned to their desired business outcomes.
• Lead technical enablement sessions on how to use the Comet platform for an array of workflows and use cases, from training time series forecasting or computer vision models, to LLM fine-tuning, RAG application evaluation, and agentic AI development and evaluation.
• Troubleshoot and resolve technical questions and issues from end users, helping with Python SDK integration, solutioning custom visualizations and integrations, and leading technical working sessions.
• Use knowledge of ML/LLM/agentic frameworks and tools to create examples and help customers leverage our many integrations (ex: PyTorch, TensorFlow, Ray, OpenAI, Bedrock, LangChain, LangGraph, agent orchestration frameworks).
• Leverage customer health analytics to proactively identify expansion opportunities and churn risks, and drive account growth in partnership with Sales.
• Support the renewal process by ensuring customers are realizing ongoing value and are positioned for a successful renewal conversation, partnering closely with the Sales/Account team who own the renewal contract itself.
• Partner with Product and Engineering to provide customer and market feedback to help define product roadmap, including for agentic AI use cases.

Requirements:

• 3+ years of experience in the AI/ML domain in a customer-facing role (TAM, CSM, Forward Deployed Engineer, Solutions Engineering, Technical Consulting or similar domain).
• Hands-on experience with the LLM and agentic AI development process, and comfort with common LLM models, agent frameworks, and tools (ex: OpenAI, LangGraph, Bedrock, agent orchestration frameworks).
• Working knowledge of LLM observability and evaluation concepts, such as tracing, evaluation datasets, LLM-as-a-judge and experiment tracking. Familiarity with OpenTelemetry or other tracing and instrumentation standards.
• Strong Python skills, enough to write integration scripts, debug customer code and build working examples.
• Strong understanding of the current ML, MLOps, and agentic AI landscape (applications, tools, new research).
• Experience spotting account growth opportunities as well as risks, and working with Sales colleagues on renewals and expansions.
• Demonstrated ownership of technical escalations, from diagnosis through resolution, with close attention to detail.
• Proven ability to manage competing priorities across a portfolio of accounts in a fast-paced environment.
• A track record of managing relationships with multiple stakeholders, including senior and executive contacts, and demonstrating platform value.
• Strong communication and presentation skills; even better listening skills.
• Ability to travel a couple of times per quarter.

Preferred Qualifications:

• Experience working with the major cloud providers (AWS, Azure, GCP) plus working knowledge of docker and kubernetes.
• Experience with traditional ML frameworks (ex: Keras, PyTorch, TensorFlow, XGBoost, Hugging Face)
• Experience with customers in regulated industries such as financial services, insurance or pharma, including their security, compliance and model-risk requirements.
• Contributions to open-source projects, or activity in AI developer communities.
• Bachelor's degree in Computer Science or a related engineering field, or equivalent practical experience.

What We Offer:

• Competitive base salary + variable (~ $150-165K + $15-25K), based on proven experience, skills, and location
• Competitive benefits package.
• Flexible working hours and remote work options.
• Opportunities for professional growth and development.
• A collaborative and innovative work environment.
• The chance to work with cutting-edge technologies and projects.
• This role will be fully remote in North America, working with a global team (large presence in the US and Europe, Tel Aviv ).
• Some flexibility with work hours is required and ability to travel a couple of times per quarter.

Originally posted on Himalayas

Description

About Onyx

Onyx is building the control plane for autonomous AI. As enterprises scale AI agents across the organization, Onyx gives them the visibility, governance, and operational control to understand what agents exist, what they do, and what risks they introduce. We're a fast-moving team helping the world's largest companies adopt AI safely.

About the Role

As a Senior Technical Account Manager, you'll be the primary technical advocate and strategic advisor for our enterprise customers — the bridge between them and our Product, Engineering, and Security teams. You'll own post-sale relationships, solve hard technical problems, and make sure customers realize measurable value from the Onyx platform.

This isn't a traditional support or relationship-management role. You'll learn each customer's environment, priorities, and security requirements in depth, then coordinate the resources to get them where they want to go. The ideal candidate moves easily between hands-on discussions with architects and security engineers and strategic conversations with CIOs, CISOs, and CTOs.

What You'll Do

• Own the technical relationship. Serve as the primary post-sale technical contact for assigned enterprise accounts, from onboarding through renewal and expansion.
• Advise at every level. Guide practitioners on deployment, configuration, and best practices while advising executives on AI risk posture and governance strategy.
• Drive time-to-value. Lead integration into customer environments (agent frameworks, identity, cloud, SIEM/SOAR, data platforms) and define success plans tied to measurable security outcomes.
• Solve hard problems. Troubleshoot issues, run technical deep-dives, write scripts for diagnostics and automation, and escalate effectively to drive resolution.
• Manage risk and growth. Monitor account health, lead QBRs and executive briefings, channel structured feedback to Product and Engineering, and partner with Sales on expansion.

Requirements

What You Bring

• 7+ years in customer-facing technical roles (TAM, Solutions Engineer, Customer Success Engineer, or similar) in B2B SaaS, with significant time on enterprise accounts.
• Background in cybersecurity, cloud security, identity, or data protection; experience with AI/ML platforms, LLM tooling, or agent frameworks is a strong plus.
• Scripting skills (Python, Bash, or similar) and comfort with REST APIs, cloud platforms (AWS/Azure/GCP), and modern security tooling.
• Executive presence and excellent communication — a proven ability to advise senior security leaders and translate technical detail into business risk and value.
• Consultative, customer-obsessed mindset with a bias for action and experience working cross-functionally with Product, Engineering, and Sales.

Nice to Have

• Experience with the AI security landscape (AI governance, agent security, LLM risk, data leakage) and agentic workflows used by modern security and data teams.
• Prior startup experience building or scaling a Customer Success / TAM function.
• Familiarity with CRMs, ticketing systems, and customer-health platforms (Salesforce, Zendesk, Gainsight).
• Relevant certifications (CISSP, CCSP, cloud provider certifications).

Job Benefits

• Remote work model
• Health insurance and wellness benefits
• Equity participation

Compensation Disclosure

We offer a competitive compensation package that includes base salary, equity, and performance-based incentives. Compensation will be determined based on experience, location, and the scope of the role.

Equal Opportunity Statement

Onyx is an equal opportunity employer. We value diverse perspectives and are committed to building an inclusive environment for all employees.

Originally posted on Himalayas