Full-Time
Lead Product Manager
AI Agents & Emerging Products
System1
201-500 employees
Data-driven tech platform for digital advertising
Compensation Overview
$161.8k - $242.7k/yr
Los Angeles, CA, USA
In Person
On-site at headquarters in Los Angeles, CA.
 Product (1) |
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- 7+ years of product management experience, including consumer mobile apps or subscription-based products
- At least 2 years demonstrable experience with large language models and Agentic frameworks
- Proven record of P&L ownership and growing revenue in consumer tech
- Strong understanding of subscription funnels, retention analytics, and mobile attribution tools (AppsFlyer, Adjust, Singular)
- Demonstrated ability to take AI products from concept to market, ideally including experience with large language models, APIs, and agent frameworks
- Demonstrable proficiency in low code application development platforms (Replit, Lovable, v0, etc). You can go beyond basic prototyping
- Analytical and data-driven mindset; fluent with experimentation, A/B testing, and growth metrics
- Strong technical fluency and collaboration skills with engineering, AI/ML, and design
- A builder’s mentality — entrepreneurial, resourceful, and comfortable navigating ambiguity
- Excellent storytelling and stakeholder alignment skills
- Lead strategy, roadmap, and execution for AI Agent–based mobile and web products from prototype to scale
- Incubate and grow consumer subscription experiences powered by AI Agents — spanning productivity, personalization, and knowledge verticals
- Define and manage subscription economics, including pricing, retention, and churn optimization
- Partner with Analytics on end-to-end revenue tracking, analytics, and attribution, ensuring clarity on LTV, CAC, ROI, and unit economics
- Partner with data, marketing, and finance to develop multi-touch attribution models and optimize growth funnels
- Translate emerging AI capabilities (LLMs, RAG, embeddings, and agent frameworks) into differentiated, scalable user experiences
- Collaborate closely with engineering, design, and marketing to bring AI prototypes to market quickly and efficiently
- Establish and track key success metrics while maintaining full P&L accountability for your product lines
- Mentor peer PMs and help define System1’s frameworks for AI-native consumer product development
System1 builds and grows online brands and businesses using a tech platform that combines data science and digital marketing across sectors like search, maps, health, automotive, personal finance, entertainment, and trivia. It attracts about 120 million monthly visitors and monetizes this audience mainly through advertising, offering privacy-friendly products such as search, browsers, and mapping tools. Its approach blends a large, diversified audience with data-driven marketing to help partners expand user bases and revenue, differentiating itself with privacy-focused tools and scale. The goal is to grow online communities and brands by expanding the audience and delivering value to consumers, while creating advertising revenue for itself and its partners.
Company Size
201-500
Company Stage
IPO
Headquarters
Toronto, Canada
Founded
2013
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Simplify's Take
What believers are saying
- August 5, 2026 Q2 revenue reached $30.2 million with $1.9 million adjusted EBITDA.
- May 29, 2026 debt exchange cut gross debt from $302.6 million to $150 million.
- Dogpile Fetch launched July 23, 2026, creating new monetization across AI-agent search traffic.
What critics are saying
- Google terminated a major search agreement February 10, 2026, slashing historical cash flow.
- Lenders sued over 2024 reorganization transfers; adverse rulings threaten asset ownership.
- System1 still carries heavy leverage after restructuring; missed execution risks bankruptcy by 2031.
What makes System1 unique
- System1 owns Dogpile, MapQuest, Startpage, and CouponFollow under one AI-intent platform.
- Its creative-effectiveness tools combine behavioral science, predictive analytics, and commercial sales expertise.
- Dogpile Fetch extends legacy search brands into MCP infrastructure for AI agents.
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Benefits
Great compensation
401(k) company match
Excellence benefits
Charitable gift matching
Education subsidy
Referral bonus
Weekly happy hour
Catered lunches & free snacks
Weekly workouts
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↑ 0%2 year growth
↑ 2%EDGAR radar: soundhound posts all-time record revenue of $61.9 million. What public companies just told the SEC about AI, read straight from the filings. Every quote links the original document. SoundHound posts all-time record revenue of $61.9 million. SoundHound AI (Nasdaq: SOUN) reported Q2 2026 revenue of $61.9 million, up 45% year over year, and raised its full-year outlook in an 8-K filed August 5. The company credited OASYS, its enterprise voice and agentic AI platform, for driving adoption. Also reporting Q2: System1 (NYSE: SST) disclosed it launched MCP servers for MapQuest, Dogpile, and its new IntentStream audience data platform during the quarter, extending its proprietary location, shopping, and search data into the infrastructure layer agentic AI agents use to call external tools. System1 reported a margin of 85%, adjusted EBITDA of $1.9 million, and a GAAP net loss of $15.3 million. Two drug-discovery filings each disclose an agentic AI co-scientist. Schrödinger (Nasdaq: SDGR) posted Q2 annual contract value of $29.6 million, 27% growth, and announced the early-access launch of Bunsen, an agentic AI co-scientist for molecular discovery. The name frames it as a reasoning agent layered on top of Schrödinger's existing computational chemistry stack. On the same day, Lantern Pharma (Nasdaq: LTRN) disclosed the formation of Open-Medicine AI (OMAI), a new entity that will hold and advance Lantern's agentic AI platform, with Lantern licensing the technology back under commercial agreements. The 8-K describes the platform as the "multi-agentic AI co-scientist platform previously launched as withZeta.ai. OMAI will continue to advance the multi-agentic architecture, first proven in oncology and rare cancer research, while expanding its application across broader disease areas." The structure separates the AI system into a standalone entity while Lantern retains access through a license. The filing says the arrangement is consistent with terms committed during Lantern's most recent registered direct financing. Intrusion acquires VigilAigent for $3.5 million in annual recurring revenue. Intrusion Inc. (Nasdaq: INTZ) disclosed terms of its VigilAigent acquisition in a DEFA14A filed August 3. The deal pairs Intrusion's existing threat-intelligence data with VigilAigent's agentic AI layer to create what the filing calls an AI-native cybersecurity platform. The transaction's stated effects: "The transaction adds ~$3.5 million in annual recurring revenue; $3 million+ in identified annualized cost synergies; ~1,000 customers from the acquired base; and 80+ additional reseller partne..." A DEFA14A is an additional proxy solicitation, meaning shareholders must vote before the deal closes. AI risk language turns up in a tow-truck maker's 8-K. Eight companies in this four-day window included "our use of artificial intelligence" in their earnings-release risk language: ZipRecruiter, Wayfair, Paymentus, EVERTEC, EverQuote, Warby Parker, and Thryv. The entry worth pausing on: Miller Industries (NYSE: MLR), which manufactures towing and recovery equipment, placed AI risk alongside product defects and commercial insurance availability in its August 5 8-K. Most of this language across the group is standard boilerplate. Thryv's version names specific categories of harm rather than waving at risk in general: "our use of artificial intelligence in our business, and challenges with properly managing its use, could result in reputational harm, competitive harm, and legal liability" B-Scada registers as a fully restructured "AI lab" for small business. B-Scada (OTC: SCDA) filed a Form 10-12G on August 5, the registration form companies use to become SEC-reporting without a concurrent share offering. The filing discloses a complete business pivot: B-Scada has exited its prior operations and is rebuilding entirely around agentic AI for small and midsize businesses. The filing's description of the new model: "...Our restructured business model positions the Company as an "AI lab" where we design, prototype and deploy bespoke or proprietary..." Once the Form 10-12G is effective, B-Scada carries the same periodic disclosure obligations as exchange-listed companies. The filing itself is what creates those obligations, not a listing event. Stay ahead in AI. Join 50,000+ professionals getting the AI briefing that matters. 3x/week, free, no spam.
System1 appoints Kimberly Bastoni as Global Chief Commercial Officer. Aug. 04, 2026 System1, The Creative Effectiveness Platform, today announced the appointment of Kimberly Bastoni as Global Chief Commercial Officer (CCO). Bastoni has more than 25 years of leadership experience spanning advertising, innovation and brand research, enterprise sales, marketing and research technology. Throughout her career, including leadership roles at Kantar, MetrixLab, Qualtrics, and Alida (Vision Critical), she has helped organizations scale commercial teams, strengthen enterprise customer relationships and bring innovative research technologies to market. She has led account strategies behind sustained enterprise growth, helping expand major global client relationships from early engagements into substantial, long-term revenue. James Gregory, CEO of System1 said: "Coming off a record second half, we're entering FY27 with a broader customer base and strong operating discipline, and we're focused on accelerating revenue growth from here. Kim brings a rare combination of deep research expertise, proven enterprise growth leadership and firsthand product experience. She has built commercial organizations that scale, and she is well positioned to build on the momentum we've established." Bastoni has also spent much of her career close to the product itself, including helping build Qualtrics' brand tracking platform, giving her firsthand experience in what it takes to build and deliver research technology. Bastoni said: "Brands are under increasing pressure to make every marketing investment count. System1 has built an extraordinary platform grounded in behavioural science and predictive technology, and I'm excited to help more organizations use those insights to make better creative decisions and drive measurable business growth, globally." Bastoni's appointment supports System1's strategy to expand enterprise adoption across its global footprint, strengthen its U.S. market presence, and scale its AI-powered platform to help brands make more confident marketing decisions through predictive, emotion-based insights.
System1 Introduced Dogpile Fetch, a new Search MCP Server from the Groundbreaking Metasearch Engine, giving AI agents a Wider view of the Web. Published: 27 Jul 2026 On 23 July 2026, System1 introduces the Dogpile Fetch MCP Server, allowing AI agents to perform wider web searches and access real-time information. This launch intelligently discovers multiple sources, makes better decisions, and advances AI-driven search and enterprise automation solutions. System1 launched Dogpile Fetch, a Model Context Protocol Server based on its metasearch engine, Dogpile. The MCP server integrates Dogpile's search infrastructure within the MCP ecosystem, supporting AI-driven online activities and improving interactions with live web content. This platform allows AI agents to access web data through a unified interface that combines results from multiple sources for research, analysis, and automation. As AI agents increasingly handle customer service, research, and robotics in real time on the web. Companies and developers can use Dogpile Fetch to enable research tools, chatbots, and automation systems to access broader web knowledge in real time, accelerating accuracy, reliability, and context. This launch positions System1 to grow in the AI infrastructure market, renewing Dogpile's legacy with a modern platform for next-generation AI assistants. Additionally, Dogpile Fetch exemplifies the transition from human browsing to machine retrieval, optimized for autonomous systems by promoting industry-standard AI communication protocols for secure external connections. Impact on the artificial intelligence infrastructure sector. The global artificial intelligence (AI) infrastructure market size accounted for USD 72.02 billion in 2025 and is predicted to increase from USD 91.21 billion in 2026 to approximately USD 518.26 billion by 2035, expanding at a CAGR of 21.82% from 2026 to 2035. According to Precedence Research, AI increasingly relies on external sources for research, automation, and decision-making. Dogpile Fetch enhances AI by providing reliable web data access by recovering information from numerous search providers through a unified MCP server, improving comprehension, and reducing dependence on individual indexes. This drives innovation in AI, smart search, retrieval-augmented generation, and self-governing systems, helping create a connected AI ecosystem. This supports advanced AI assistants, enterprise copilots, and automation, facilitating standardized integration and scalability. As AI is integrated into agent-based computing, real-time data retrieval, such as Dogpile Fetch, improves knowledge access and response accuracy and enables dynamic online engagement. Impact on the AI search engine sector. The global AI search engine market size accounted for USD 16.30 billion in 2025 and is predicted to increase from USD 20.75 billion in 2026 to approximately USD 182.17 billion by 2035, expanding at a CAGR of 27.30% from 2026 to 2035. According to Precedence Research, the rising demand for AI agents requires platforms that deliver structured, machine-readable, context-rich data, where Dogpile Fetch targets to revolutionize search by expanding into AI-native recovery. This approach cuts reliance on individual search ecosystems and fosters digital integration. By integrating Dogpile's metasearch into an MCP-compatible server, System1 enhances its search infrastructure by supporting an autonomous AI ecosystem. Dogpile Fetch revives metasearch relevance in an AI-driven infrastructure where autonomous software performs searches, encouraging innovation in the search engine sector, creating new opportunities for digital knowledge and AI solutions. Publishers and data aggregators may develop AI-friendly interfaces integrated with intelligent applications by combining data from multiple sources to enhance coverage, diversity, and completeness. Impact on the enterprise software sector. The global enterprise software market size accounted for USD 280.49 billion in 2025 and is projected to hit around USD 313.42 billion by 2025, and is anticipated to reach around USD 851.15 billion by 2035, expanding at a CAGR of 11.74% from 2025 to 2035. According to Precedence Research, growing integration of AI for research and trend spotting improves efficiency and decision-making. The enterprise software sector can benefit from Dogpile Fetch as organizations embed AI agents into operations, align with MCP integration to simplify deployment, and reduce complexity. Modern companies rely on intelligent assistants for market research, customer service, and data summarization. As Dogpile Fetch demonstrates, advanced search elevates business intelligence and fosters innovation, allowing smarter, highly adaptable, and data-driven operations. Their success depends on accessing accurate, timely information. Dogpile Fetch provides broader web insights through metasearch, enabling AI tools to improve recommendations. Major sectors include finance, consulting, healthcare, legal, education, and technology, which support digital transformation by enabling better enterprise copilots and automation. Expert opinion. From the expert's perspective, System1's Dogpile Fetch advances search tech by modifying AI from passive models to autonomous agents that engage a live digital ecosystem. This benefits enterprise AI by enhancing productivity and decision-making. Dogpile Fetch targets AI systems that need diverse, up-to-date knowledge for complex research and automation, to improve responses, and on a single search platform. Built on Dogpile's metasearch foundation, the Model Context Protocol highlights interoperability, real-time data, and standard communication. As AI infrastructure's competitive edge grows, System1 must enhance Dogpile Fetch's scalability, tools, and compliance with regulatory standards. Success depends on data quality, privacy, source transparency, and performance. If this strategy is successful, it could redefine search engines into intelligent knowledge services optimized for autonomous operation, transforming future AI applications and enterprise solutions.
System1 has launched Dogpile Fetch, a web search API and MCP server designed for AI agents. The tool, built under the Dogpile brand — a metasearch engine operating since 1996 — installs in under two minutes in Claude Code, Cursor, or any MCP-compatible client. New research from Dogpile found that single search indexes surface only about half of available results compared to what multiple indexes collectively find. The company analysed seven popular search APIs and discovered AI agents take limited results and generate answers without recognising gaps. Dogpile Fetch addresses this by routing queries to optimal backends automatically, returning ranked results, knowledge graph data, and related questions. A Deep mode breaks complex queries into multiple searches and removes duplicates. Pricing starts at $2 per 1,000 calls, with free monthly credits available.
System1 secures $150m term loan, reduces debt by $160m