AI Analyst, SDR Programs

About Remote

Remote is solving global remote organizations’ biggest challenge: employing anyone anywhere compliantly. We make it possible for businesses big and small to employ a global team by handling global payroll, benefits, taxes, and compliance. Check out remote.com/how-it-works to learn more or if you’re interested in adding to the mission, scroll down to apply now.

Not only do we encourage folks from all ethnic groups, genders, sexuality, age, abilities, disability status and any other under-represented group to apply, but we prioritize a sense of belonging. We have 4 ERGs (Women, Disability, Queer, Minorities in Tech) who meet regularly with the People team. During your interviews and beyond, we ask & encourage anybody who needs an accommodation to request one from their recruiter.

All of our positions are fully remote. You do not have to relocate to join us!

About the Role

Join Remote.com as an AI Analyst, SDR Program, where you'll be at the forefront of revolutionizing our internal Go-To-Market engine. You won't be building features for our external product; instead, you'll be a force multiplier for our Sales Development, Sales, and broader GTM teams. Your mission is to design, build, and deploy innovative AI/ML-powered solutions and automation systems that directly increase productivity, generate pipeline, and drive scalable revenue growth.

You'll partner closely with GTM leadership and individual contributors to understand their workflows, identify high-leverage automation opportunities, and rapidly prototype, test, and deploy solutions. This role is ideal for an entrepreneurial engineer who is passionate about applying cutting-edge AI/ML to real-world business challenges, loves to build end-to-end systems, and wants to see their work translate directly into measurable GTM success.

What This Job Can Offer You

• Spearhead the application of applied AI/ML within Remote’s GTM functions.
• Directly impact revenue generation and operational efficiency through innovative automation.
• Own the design, development, and deployment of novel internal AI tools and agentic workflows.
• Work cross-functionally with Sales, SDRs, Marketing, and Revenue Operations leaders and teams.
• Operate with significant autonomy in a fast-paced environment, constantly experimenting and iterating.
• Solve complex problems by pioneering the application of frontier AI models to build highly intelligent, scalable, and revenue-driving GTM automation systems from the ground up.

Key Responsibilities

n this role, you will:

• Automate end-to-end SDR functions: Strive to build systems that can autonomously perform significant portions of the SDR role, from prospecting and enrichment, to initial outreach and qualification.
• Engineer advanced agentic GTM workflows: Design and build a sophisticated three-tiered automation engine:
  • Signal Ingestion Layer: Continuously capture and process diverse market and prospect signals (e.g., relevant funding announcements, negative sentiment from competitor’s customers, hiring signals etc.).
  • Intelligence & Orchestration Layer: Enrich these signals with internal data (e.g., Salesforce history, existing engagement status), apply custom logic to determine optimal engagement strategies, and route actions based on context (e.g., differentiating flows for new leads, existing customers, or recent closed-lost prospects).
  • Automated Action Layer: Execute precise, context-aware GTM actions across multiple channels (e.g., personalized LinkedIn messages & connection requests, tailored email sequences, task creation in sales engagement platforms etc.).
• Design, build, and deploy custom AI/ML models: Develop and fine-tune models (e.g., LLM trained on successful email exchanges and interaction data from Salesforce) to automate personalised outreach and responses to prospects.
• Partner deeply with Sales, SDRs, Marketing, and Revenue Operations: Understand their pain points, identify automation opportunities, gather requirements, and ensure solutions meet their needs.
• Integrate solutions seamlessly: Ensure your AI tools and automations work harmoniously with our existing GTM tech stack (e.g., Salesforce, Outreach, Clay, LeanData).
• Constantly prototype, iterate, and A/B test: Rapidly develop and test new AI-driven GTM projects, measure their impact, and scale successful initiatives. This includes improving Salesforce data hygiene, enhancing lead scoring, or optimizing account prioritization.
• Monitor, maintain, and optimize: Ensure the ongoing performance, reliability, and effectiveness of deployed AI systems and automations.
• Champion data-driven decision making: Use data to identify new opportunities, measure the ROI of your projects, and continuously improve GTM processes.

What You Bring / You’ll thrive in this role if you:

• Have 3+ years of experience as a Technical Product Manager, ML Engineer, or in a similar technical role, with a strong focus on building and deploying user-facing or internal systems.
• Proven experience in designing and building ML-powered applications, particularly using LLMs and associated architectures (e.g., OpenAI/Gemini/Anthropic API, Langchain, vector databases, fine-tuning, RAG, MCP etc.).
• Experience building and consuming APIs; full-stack development experience (e.g., Flask/Django, FastAPI, and/or a frontend framework like React/Vue for building internal UIs) is highly desirable.
• Have experience in "vibe coding" – rapidly building prototypes and full-stack applications by leveraging generative AI/LLMs within AI-assisted development platforms (e.g., Loveable, Replit, Cursor) to accelerate development cycles.
• Hands-on experience with GTM technology, including CRM systems (Salesforce preferred), sales tools (e.g., Outreach, ZoomInfo, Lusha, Unipile), and AI-driven prospecting tools (e.g., Clay).
• Familiarity with automation platforms (e.g., Zapier, N8n, Activepieces) and data pipeline/ETL concepts.
• Ability to translate complex GTM team needs and challenges into tangible, scalable technical solutions.
• A bias for action, rapid prototyping, and a "get things done" attitude with a strong sense of ownership.
• Excellent problem-solving skills, analytical thinking, and experience with data-driven experimentation.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with technical and non-technical stakeholders.
• Curiosity and a passion for staying on the cutting-edge of AI/ML advancements and their GTM applications.
• Ability to work both autonomously and within a remote team environment.

Practicals

• You'll report to: Senior Manager, SDR Programs
• Team: SDR Programs
• Location: For this position we welcome everyone to apply, but we will prioritise applications from the following locations as we encourage our teams to diversify;
• Start date: As soon as possible

Remote Compensation Philosophy

Remote's Total Rewards philosophy is to ensure fair, unbiased compensation and fair equity pay along with competitive benefits in all locations in which we operate. We do not agree to or encourage cheap-labor practices and therefore we ensure to pay above in-location rates. We hope to inspire other companies to support global talent-hiring and bring local wealth to developing countries.

At first glance our salary bands seem quite wide - here is some context. At Remote we have international operations and a globally distributed workforce.  We use geo ranges to consider geographic pay differentials as part of our global compensation strategy to remain competitive in various markets while we hiring globally.

The base salary range for this full-time position is $42,000 - $141,750 USD. Our salary ranges are determined by role, level and location, and our job titles may span more than one career level. The actual base pay for the successful candidate in this role is dependent upon many factors such as location, transferable or job-related skills, work experience, relevant training, business needs, and market demands. The base salary range may be subject to change.

 

At Remote, we foster internal mobility as a key element of our culture of employee growth and development, supported by a compensation philosophy that guarantees pay equity and fairness. Therefore, all compensation changes associated with an internal move will be reviewed by the Total Rewards & People Enablement team on a case by case basis.

Application process

1. Interview with recruiter
2. Interview with future manager
3. Interview with team members (no managers present)
4. Bar Raiser Interview
5. Prior employment verification check 

Benefits

Our full benefits & perks are explained in our handbook at remote.com/r/benefits. As a global company, each country works differently, but some benefits/perks are for all Remoters:

• work from anywhere
• flexible paid time off
• flexible working hours (we are async)
• 16 weeks paid parental leave
• mental health support services
• stock options
• learning budget
• home office budget & IT equipment
• budget for local in-person social events or co-working spaces

How you’ll plan your day (and life)

We work async at Remote which means you can plan your schedule around your life (and not around meetings). Read more at remote.com/async.

You will be empowered to take ownership and be proactive. When in doubt you will default to action instead of waiting. Your life-work balance is important and you will be encouraged to put yourself and your family first, and fit work around your needs.

If that sounds like something you want, apply now!

How to apply

1. Please fill out the form below and upload your CV with a PDF format.
2. We kindly ask you to submit your application and CV in English, as this is the standardised language we use here at Remote.
3. If you don’t have an up to date CV but you are still interested in talking to us, please feel free to add a copy of your LinkedIn profile instead.

We will ask you to voluntarily tell us your pronouns at interview stage, and you will have the option to answer our anonymous demographic questionnaire when you apply below. As an equal employment opportunity employer it’s important to us that our workforce reflects people of all backgrounds, identities, and experiences and this data will help us to stay accountable. We thank you for providing this data, if you chose to.

Please note we accept applications on an ongoing basis.