Conductor is the world's leading organic marketing company. Our content intelligence platform, Conductor Searchlight, generates customer intent insights that lead to compelling content, increased traffic, and higher organic marketing ROI. Conductor's technology enables marketers to understand their prospective customers' intent by revealing the trends and topics they are searching for at every phase of purchase process. Customizable dashboards and workflows guide marketers through the content creation process, empowering them to continuously measure, refine, and demonstrate the effectiveness of their SEO and content marketing efforts. Conductor's forward-thinking customers include global brands like Citibank and FedEx, emerging leaders like Birchbox and JustFab, and leading agencies like iProspect and Acronym. In December 2019, Conductor spun out of WeWork and is now an independent company.
Conductor is the world's leading organic marketing company. Our content intelligence platform, Conductor Searchlight, generates customer intent insights that lead to compelling content, increased traffic, and higher organic marketing ROI. Conductor's technology enables marketers to understand their prospective customers' intent by revealing the trends and topics they are searching for at every phase of purchase process. Customizable dashboards and workflows guide marketers through the content creation process, empowering them to continuously measure, refine, and demonstrate the effectiveness of their SEO and content marketing efforts. Conductor's forward-thinking customers include global brands like Citibank and FedEx, emerging leaders like Birchbox and JustFab, and leading agencies like iProspect and Acronym. In December 2019, Conductor spun out of WeWork and is now an independent company.
Sector: Enterprise organic marketing / AEO & SEO platform
Flagship product: Conductor Searchlight and product suite (Creator, Intelligence, Monitoring, Data)
Founded / origins: Founded mid-2000s; co-founded by Seth Besmertnik (and Jeremy Duboys per contemporaneous press)
Headcount (approx.): ~348 employees
Total funding: Approximately $210.65M (includes $150M growth round in Nov 2021)
Bregal Sagemount (led $150M growth round, Nov 2021)
Company Overview
Problem Domain
Organic marketing, search engine optimization (SEO), and AI/LLM-driven answer experience optimization for enterprises.
Industry
Marketing technology / Search optimization
Tech Stack
AI/ML for content and search intelligence
Site monitoring and analytics
Funding Track Record
Growth (Series A classification in company blog)- 2021-11-16
150000000.00
Growth investment reported at a $525M post-money valuation.
Series D- 2015-02-12
27000000.00
Series C- 2012-10-30
20000000.00
Investor Signal
“Mix of venture and growth investors including Matrix Partners, FirstMark Capital, Investor Growth Capital, Catalyst Investors, Blue Cloud Ventures, and Bregal Sagemount”
Founders
What we do
Join the Team
AI/ML Software Engineer
On-SiteNew York, US
On-Site • New York, US
Notable investor:
Who you are
3+ years of experience in software development, with at least 3 years in building scalable and secure SaaS application platforms and systems for intelligent applications
Deep knowledge of modern technologies including:
LLM architectures (GPT-4, Claude, Gemini)
Retrieval-augmented generation (RAG) and vector database (Milvus) optimizations
Multi-agent AI architectures and agentic frameworks
Experience with model evaluation, including designing self-assessment prompts and implementing performance dashboards using relevant metrics (confidence and perplexity scores, win-rate comparisons between model versions, etc.)
Proficiency with traditional ML technologies (PyTorch, TensorFlow, AWS SageMaker, MLflow) and strong Python coding skills
Experience with cloud technologies, particularly in data processing and distributed systems. Knowledge of AWS technologies is a plus
Excellent communication skills, with the ability to translate complex technical concepts for both technical and non-technical stakeholders
Solution-oriented approach using rapid prototyping, experimentation, and iterative development
Self-directed, proactive, and comfortable working across organizational stacks, taking ownership of end-to-end problem-solving in a fast-paced environment
What the job involves
Benefits
Child Care & Parental Leave Benefits
Health Insurance & Wellness Benefits
Perks & Discounts
Professional Development Benefits
Retirement and Stock Option Benefits
Vacation & Time Off Benefits
Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.
DevOps Engineer
ContractSan Francisco, US
Contract • San Francisco, US
Backend Developer
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Internship • Utrecht, NL
Software Engineer
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Software Engineer
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Internship • Manchester, GB
Mobile Developer
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Data Scientist
InternshipTel Aviv
Internship • Tel Aviv
We are seeking a skilled and experienced Senior Machine Learning Engineer to join our team. Reporting to the Engineering Director, the successful candidate will take on a pivotal role in designing, developing, and implementing innovative solutions to our customers' problems, while adhering to the standards and principles of our R&D department.
The Senior ML Engineer will work closely with data engineers, product managers, application developers, UI/UX designers, and other stakeholders to create scalable, high-performance, reliable, and secure SaaS applications. The ideal candidate is passionate about solving problems, influencing strategic thinking, and mentoring others within the team
Design and implement end-to-end AI systems and ML pipelines, creating a scalable framework that powers iterative R&D workflows
Orchestrate multi-model decision workflows and implement efficient agent handoff systems that optimize for both performance and user experience
Design human-in-the-loop interactions allowing AI agents to collaborate effectively with content marketers, incorporate feedback, and refine workflows autonomously
Optimize AI models for efficiency, interpretability, and real-world performance in enterprise environments
Define AI evaluation frameworks and metrics to ensure continuous improvement of models and systems
Collaborate with cross-functional teams to unlock insights, innovation, and intelligence in our applications
Stay current with state-of-the-art techniques in AI/ML and apply this knowledge to our architectures
Mentor other engineers and foster a culture of knowledge sharing and collaboration
Understand challenges in the SEO space and solve problems, not just deliver features
