Full-Time
Product Manager
Posted on 12/22/2025
Alloy AI
51-200 employees
SaaS platform for supply chain visibility
Compensation Overview
CA$95k - CA$140k/yr
Vancouver, BC, Canada
Hybrid
Hybrid requires 3+ days in-office per week; remote workers are not eligible.
 Product (1) |
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- 3+ years of experience in Product Management at a growing B2B SAAS company.
- Experience successfully launching B2B software products with ideally owning a product from ideation through launch and support.
- Strong data-driven decision-making skills and experience deriving business strategy from data.
- Technical fluency and experience in big data processing, analytics, BI tools and AI products.
- Strong user-centered mindset with a UX appreciation and design instincts.
- Experience with beta testing and collecting customer feedback for product iteration and development.
- Excellent ability to explain complicated concepts to both technical and non-technical audiences.
- Experience working in a startup environment with a desire to work in an environment that excels on fast iteration and continuous improvement.
- Hybrid is defined by our company as 3+ days/week in the office when not on vacation. Remote employees will not be considered for this role.
- Develop our product roadmap, in partnership with our Chief Customer Officer and other Product team members. Collaborate closely with Sales, Marketing, Client Solutions, Design and Engineering to develop a roadmap that will deliver a best-in-class product.
- Deeply understand Alloy.ai’s capabilities, the needs of our users, and the needs of our customers’ businesses. Proactively identify opportunities for Alloy.ai to leverage our technology and data capabilities to meet their needs in new and valuable ways.
- Collaborate with engineering and design teams to ship new products and features, including shaping product requirements, coordinating development and launch activities, and seeking input from key stakeholders including: users, sales, marketing, client success and Alloy leadership.
- Drive forward Alloy’s AI capabilities, through development of AI features, evolving best-in-class AI development processes and adoption of AI tools to increase productivity (e.g. AI prototyping).
- Make data driven roadmap decisions by reviewing and interpreting qualitative and quantitative data on usage patterns to uncover new product insights.
- Conduct customer and market research in order to ensure we are developing a best-in-class solution.
- Act as a product expert to support GTM efforts and our Client Solutions team, including product enablement, product marketing and specialist product support for customers and prospects.
Alloy AI runs a subscription-based SaaS platform for consumer goods brands to manage supply chain and sales operations. Its system acts as a real-time control tower that provides end-to-end visibility of inventory and shipments and surfaces analytics for sell-in (retailer demand) and sell-through (consumer purchase) so brands can react to current demand. Users access dashboards and insights to optimize inventory, shipments, and marketing investments, which helps reduce working capital, minimize waste, and strengthen retailer partnerships while safeguarding market share. The platform differentiates itself by offering integrated, real-time visibility and analytics focused specifically on both supply chain and sales stages (not just logistics) to enable proactive demand response. Alloy AI’s goal is to bridge planning and execution for consumer goods brands, enabling faster, data-driven decisions across the entire go-to-market chain and ultimately improve performance in retail channels.
Company Size
51-200
Company Stage
Series A
Total Funding
$15.3M
Headquarters
San Francisco, California
Founded
2016
Simplify's Take
What believers are saying
- Ember achieved 35% YoY forecast accuracy to 95%, yielding 67X ROI.
- Liftlab partnership enables real-time ROAS tracking by product, retailer, location.
- WM Barr adopted platform February 13, 2024, to boost sales opportunities.
What critics are saying
- Snowflake Marketplace commoditizes POS data, bypassing Alloy.ai in 6-12 months.
- NinjaCat's Measured acquisition erodes marketing-sales linkage in 3-6 months.
- o9 Solutions steals Bosch with superior AI planning in 12-18 months.
What makes Alloy AI unique
- Lens agentic AI delivers instant sales, inventory, and forecasting analyses from 450+ sources.
- 850+ pre-built connectors provide SKU-store level POS and supply chain visibility.
- Tracks sell-in and sell-through for proactive demand response and out-of-stock reduction.
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Benefits
Hybrid Work Options
Paid Vacation
Growth & Insights and Company News
6 month growth
↑ 1%1 year growth
↓ -2%2 year growth
↓ -4%Alloy.ai and Liftlab have partnered to help consumer brands measure marketing return on investment across digital and retail channels by connecting advertising spend to in-store sales. The partnership combines Alloy.ai's real-time point-of-sale data from hundreds of retailers with Liftlab's media measurement capabilities. Brands can now track incremental return on ad spend down to individual products, retailers and locations in real-time. Alloy.ai collects and harmonises item- and store-level retail data, whilst Liftlab analyses the complete marketing mix including digital, radio, television, print and retail activation. The solution addresses a longstanding challenge for consumer brands with significant wholesale revenue, providing unified visibility across both direct-to-consumer and brick-and-mortar performance. Alloy.ai customers typically achieve a 35% reduction in out-of-stock situations and a 5% bottom-line impact.
01 A lack of real-time inventory visibility and difficulties in accurately predicting shopper demand often result in overproduction, excess stock or critical shortages — all of which have a direct and detrimental impact on profitability. 02 GenAI is transforming inventory management by enabling accurate demand forecasting, optimized stock levels and streamlined replenishment processes. Solutions like Alloy.ai, Hypersonix and Maiven provide real-time tools that empower retailers to make data-driven decisions and respond swiftly to market changes. 03 If managing inventory is retail business managers’ top priority, delivering personalized shopping experiences is a close second. Offering consumers exactly what they want can drive sales, but it also demands precise control over stock levels to ensure a seamless and satisfying customer experience. Personalized offers fall flat without available inventory
CHICAGO, March 28, 2024 /PRNewswire/ -- Adoption of real-time capabilities and sophisticated analytics, such as artificial intelligence, for omnichannel integration and improved customer experiences is what the Retail Analytics Market will look like in the future. Partnerships for innovation, a rising emphasis on sustainability and ethical analytics, supply chain optimisation, in-store analytics, and a focus on data privacy and security will all be critical.The Retail Analytics Market is projected to grow from USD 8.5 billion in 2024 to USD 25.0 billion by 2029, at a compound annual growth rate (CAGR) of 24.0% during the forecast period, according to a new report by MarketsandMarkets™. The Retail Analytics Market is expected to grow significantly during the forecast period, owing to various business drivers like the increasing increasing adoption of omni-channel retail strategies, exponential growth of e-commerce platforms, and proliferation of data generated through diverse channels is also responsible for driving the market's growth.Browse in-depth TOC on "Retail Analytics Market"300 - Tables75 - Figures310 - PagesDownload PDF Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=123460609Scope of the ReportReport Metrics Details Market size available for years 2019–2029 Base year considered 2023 Forecast period 2024–2029 Forecast units USD (Billion) Segments Covered Offering, Business Function, Application, End User, and Region Geographies covered North America, Asia Pacific, Europe, Middle East & Africa, and Latin America Companies covered Microsoft (US), IBM (US), SAP (Germany), Oracle (US), Salesforce (US), MicroStrategy (US), SAS Institute (US), AWS (US), Qlik (US), Teradata (US), WNS (India), HCL (India), Lightspeed Commerce (Canada), RetailNext (US), Manthan Systems (India), Fit Analytics (Germany), Trax (Singapore), ThoughtSpot (US), RELEX Solutions (Finland), Tredence (US), Creatio (US), Solvoyo (US), datapine (Germany), Sisense (US), EDITED (UK), Retail Zipline (US), ThinkINside (Italy), Dor Technologies (US), Triple Whale (Israel), Flame Analytics (Spain), Alloy.ai Technologies (US), Conjura (UK), Kyvos Insights (US), Pygmalios (Slovakia), and SymphonyAI (US)By Software by analytics type, the predictive analytics segment to register for the largest market size during the forecast period.By software by analytics type, the predictive analytics segment is expected to register the largest market size during the forecast period. Predictive analytics software can help forecast sales volumes, identify demand fluctuations, and predict customer preferences, enabling retailers to optimize pricing strategies, allocate resources efficiently, and tailor marketing campaigns to target specific customer segments. Recent advancements in predictive analytics technology, including the integration of AI and machine learning algorithms, have further enhanced the capabilities of predictive analytics software, enabling retailers to gain deeper insights, make more accurate predictions, and drive greater business value.Request Sample Pages@ https://www.marketsandmarkets.com/requestsampleNew.asp?id=123460609By services, managed services to register for the highest CAGR during the forecast period.The managed segment of the Retail Analytics Market is growing rapidly. Managed service providers (MSPs) offer tailored solutions that cater to the unique needs and challenges of retailers, delivering insights that drive operational efficiency, enhance customer engagement, and drive revenue growth
SAN FRANCISCO, February 13, 2024-(BUSINESS WIRE)-Alloy.ai, the omnichannel revenue intelligence platform for consumer goods brands, today announced that WM Barr, maker of leading products for the home improvement and automotive repair industries, has selected Alloy.ai to enhance its ability to identify new sales opportunities, respond more quickly to changes in demand and strengthen key retail partnerships.
ToolsGroup and NTT Data partnered to help organizations in their supply chain digital transformation. The partnership brings together ToolsGroup’s retail and supply chain planning and optimization software and NTT Data’s information technology and business services, the companies said in a Wednesday (Dec. 20) press release. “NTT DATA’s supply chain consulting practice is built on fact-based strategies that leverage the analytics, expertise and market intelligence that help organizations thrive amid volatility,” Neelesh Asati, vice president of supply chain consulting at NTT Data Services, said in the release. “In ToolsGroup, we found a partner whose technological prowess and supply chain experience complements our own drive to help companies understand the impacts, nuances and benefits of supply chain management in this new commercial landscape.”