Qureos Mentor

Apollo.io

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.About Apollo.ioApollo.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 an end-to-end go-to-market platform that enables sales and marketing teams to source prospects from our database of 210 million B2B contacts and 35 million companies, execute personalized email outreach campaigns, automate booking flows, and manage deals&mdash;all within one unified platform.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.We are AI NativeApollo.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&mdash;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.Your Role &amp; MissionAs a Senior AI Engineer on our AI Engineering team, you will be responsible for building and productionizing advanced AI systems powered by Large Language Models (LLMs) and intelligent agents. You'll work on critical Apollo capabilities including our AI Assistant, Autonomous AI Agents, Deep Research Agents, Conversational Assistant, Semantic Search, Search Personalization, and AI Power Automation features that directly impact millions of users' productivity.The mission of our AI teams is to leverage Apollo's massive scale data and cutting-edge AI to understand and predict user behaviors, personalize experiences, and optimize every stage of the customer journey through intelligent automation.What You'll Be Working On AI Assistant &amp; Agent Systems<ul><li>Agent Architecture &amp; Implementation: Build sophisticated multi-agent systems that can reason, plan, and execute complex sales workflows</li><li>Context Management: Develop systems that maintain conversational context across complex multi-turn interactions</li><li>LLM and Agentic Platforms: Build scalable large language model and agentic platforms that enable widespread adoption and viability of agent development within the Apollo ecosystem</li><li>Backend Systems: Build back-end systems necessary to support the agents.</li><li>AI features: Conversational AI, Natural Language Search, Personalized Email Generation and similar AI features</li></ul>Classical AI/ML (Optional Focus)<ul><li>Search Scoring &amp; Ranking: Develop and improve recommendation systems and search relevance algorithms</li><li>Entity Extraction: Build models for automatic company keywords, people keywords, and industry classification</li><li>Lookalike &amp; Recommendation Systems: Create intelligent matching and suggestion engines</li></ul>Key Responsibilities<ul><li>Design and Deploy Production LLM Systems: Build scalable, reliable AI systems that serve millions of users with high availability and performance requirements</li><li>Agent Development: Create sophisticated AI agents that can chain multiple LLM calls, integrate with external APIs, and maintain state across complex workflows</li><li>Prompt Engineering Excellence: Develop and optimize prompting strategies, understand trade-offs between prompt engineering vs fine-tuning, and implement advanced prompting techniques</li><li>System Integration: Build robust APIs and integrate AI capabilities with existing Apollo infrastructure and external services</li><li>Evaluation &amp; Quality Assurance: Implement comprehensive evaluation frameworks, A/B testing, and monitoring systems to ensure AI systems meet accuracy, safety, and reliability standards</li><li>Performance Optimization: Optimize for cost, latency, and scalability across different LLM providers and deployment scenarios</li><li>Cross-functional Collaboration: Work closely with product teams, backend engineers, and stakeholders to translate business requirements into technical AI solutions</li></ul>Required QualificationsCore AI/LLM Experience (Must-Have)<ul><li>8+ years of software engineering experience with a focus on production systems</li><li>1.5+ years of hands-on LLM experience (2023-present) building real applications with GPT, Claude, Llama, or other modern LLMs</li><li>Production LLM Applications: Demonstrated experience building customer-facing, scalable LLM-powered products with real user usage (not just POCs or internal tools)</li><li>Agent Development: Experience building multi-step AI agents, LLM chaining, and complex workflow automation</li><li>Prompt Engineering Expertise: Deep understanding of prompting strategies, few-shot learning, chain-of-thought reasoning, and prompt optimization techniques</li></ul>Technical Engineering Skills<ul><li>Python Proficiency: Expert-level Python skills for production AI systems</li><li>Backend Engineering: Strong experience building scalable backend systems, APIs, and distributed architectures</li><li>LangChain or Similar Frameworks: Experience with LangChain, LlamaIndex, or other LLM application frameworks</li><li>API Integration: Proven ability to integrate multiple APIs and services to create advanced AI capabilities</li><li>Production Deployment: Experience deploying and managing AI models in cloud environments (AWS, GCP, Azure)</li></ul>Quality &amp; Evaluation Focus<ul><li>Testing &amp; Evaluation: Experience implementing rigorous evaluation frameworks for LLM systems including accuracy, safety, and performance metrics</li><li>A/B Testing: Understanding of experimental design for AI system optimization</li><li>Monitoring &amp; Reliability: Experience with production monitoring, alerting, and debugging complex AI systems</li><li>Data Pipeline Management: Experience building and maintaining scalable data pipelines that power AI systems</li></ul>What Makes a Great CandidateProduction-First Mindset<ul><li>You've built AI systems that real users depend on, not just demos or research projects</li><li>You understand the difference between a working prototype and a production-ready system</li><li>You have experience with user feedback, iterative improvements, and feedback systems</li></ul>Technical Depth with Business Impact<ul><li>You can design end-to-end systems, including back-end systems, asynchronous workflows, LLMs, and agentic systems</li><li>You understand the cost-benefit trade-offs of different AI approaches</li><li>You've made decisions about when to use different LLM providers, fine-tuning vs prompting, and architecture choices</li></ul>Evaluation &amp; Quality Excellence<ul><li>You implement repeatable, quantifiable evaluation methodologies</li><li>You track performance across iterations and can explain what makes systems successful</li><li>You prioritize safety, reliability, and user experience alongside capability</li></ul>Adaptability &amp; Learning<ul><li>You stay current with the rapidly evolving LLM landscape</li><li>You can quickly adapt to new models, frameworks, and techniques</li><li>You're comfortable working in ambiguous problem spaces and breaking down complex challenges</li></ul>Working at ApolloWe are a remote-first inclusive organization focused on operational excellence. Our way of working ensures clear expectations and an environment to do your best work with ample reward.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&mdash;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.Our AI Impact at ApolloJoin a team that's already making significant impact:<ul><li>Our AI Assistant helps sales teams automate research, scoring, and outreach processes</li><li>Assisted Prompting Mode allows users to leverage AI power-ups without being prompt engineering experts</li><li>Our AI email assistant processes hundreds of thousands of words monthly for Professional plan users</li><li>We help users &quot;book more meetings in less time by automating research, scoring, outreach, &amp; more with embedded AI sales assistants&quot;</li></ul>Job Type: Full-timePay: $160,000.00 - $280,000.00 per yearApplication Question(s):<ul><li>Can you briefly describe your hands-on experience with LLMs and embedding, including any work on fine-tuning, prompt engineering, or using vector databases?</li></ul>Work Location: Remote

Senior AI Engineer

<div><div>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.</div>
As an Agency Partnerships Manager at Apollo, you will be the fourth hire focused on scaling our fast-growing Solutions Partner Program. Your primary responsibility will be to recruit, onboard, and manage a portfolio of high-potential RevOps, Marketing, and Lead Generation Agencies, many of whom specialize in CRM platforms such as HubSpot, Pipedrive, and Salesforce. You will drive partner success through structured enablement, co-marketing, and co-selling initiatives, while also being directly accountable for generating partner-sourced pipeline and revenue. This is a quota-carrying role with a measurable impact on Apollo's growth. If you thrive in a fast-paced, high-ownership environment and are excited to help agencies build services around Apollo, we'd love to meet you.

What you'll do:

 1. Recruit &amp; Onboard New Partners
<ul>
<li>Identify and recruit high-potential RevOps, Marketing, and Lead Generation Agencies focused on the upper SMB and MM segment</li>
<li>Prioritize partners with deep expertise in the HubSpot, Salesforce, and Pipedrive ecosystems</li>
<li>Use PartnerStack to manage onboarding workflows, partner communication, and referral tracking</li>
<li>Guide new partners through Apollo's structured onboarding program to accelerate time-to-value and long-term success</li>
<li>Ensure partners are equipped to confidently adopt and advocate for Apollo within their service offerings and client base 
 
2. Drive Activation &amp; Revenue</li>
</ul><ul><li>Build strong relationships with active solution partners to drive referrals and co-selling motions.</li>
<li>Enable partners with training, resources, and repeatable playbooks.</li>
<li>Regularly track partner performance and pipeline contributions; work to improve partner-sourced revenue. 
 
3. Expand Co-Marketing Opportunities</li>
</ul><ul><li>Collaborate with Apollo's marketing team to develop joint content (e.g., blog posts, webinars, case studies) and promotional campaigns with partners and encourage partners to create user-generated content.</li>
<li>Empower partners to build awareness of Apollo with their client base 
 
4. Optimize PartnerStack &amp; Leverage AI to Scale Partner Success</li>
</ul><ul><li>Streamline workflows and refine automations in PartnerStack to reduce friction and enhance the overall partner experience.</li>
<li>Incorporate AI to personalize engagement, enhance responsiveness, and boost operational efficiency.</li>
<li>Leverage data-driven reporting and segmentation to identify high-potential partners and tailor campaigns that maximize revenue impact.</li>
</ul>
Minimum Qualifications
<ul>
<li>3+ years of experience in partnerships or channel sales with 1+ years specifically working with RevOps, Marketing, and Lead Generation Agencies</li>
<li>Experience managing a book of partners and being in a quota-carrying role</li>
<li>Proven track record as a top performer in current or recent role, consistently meeting and exceeding quota targets.</li>
<li>Deep understanding of GTM Technology</li>
<li>Understanding of partner ecosystems (HubSpot, Salesforce, Pipedrive, etc.)</li>
<li>Experience using a partner relationship management tool like PartnerStack or similar</li>
<li>Strong communication, relationship-building, and project management skills</li>
<li>Comfortable managing multiple partner relationships and projects simultaneously</li>
<li>Collaborative, self-motivated, and results-oriented</li>
<li>Ability to move in a fast-paced environment</li></ul><div><h3 class="jobSectionHeader"> 
We are AI Native</h3>

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&mdash;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.
<h3 class="jobSectionHeader">
Why You'll Love Working at Apollo</h3>

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&mdash;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&mdash;Apollo is the place for you.

Learn more here!</div></div>

Agency Partnerships Manager

Join Apollo.io and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Apollo.io

ABOUT_COMPANY

Senior AI Engineer

Agency Partnerships Manager