Location: Remote
About Us
Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we’ve built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We’re passionate about maintaining this and work on the bleeding edge of AI to do so.
Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco.
We’re a passionate team who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things.
Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today.
About the Position
You will drive the product strategy across two critical teams—Prospect Data Solutions and Prospect Data Science Integrations—that are responsible for accelerating and scaling Constructor's pre-sales success. This unified role focuses on transforming raw prospect data into compelling business cases and automated proof-of-concept (proof schedule) demos.
Your mission is to drastically reduce the time-to-value for prospects, ensuring our AI models are finely tuned for impactful results, and empowering the Sales and Account Executive (AE) teams with self-service tools, reports, and compelling narratives.
Requirements
What You'll Do
A. Pre-Sales Automation & Velocity (Data Solutions Focus)
- Proof Schedule Optimization: Own the end-to-end prospect data integration and proof schedule creation process, seeking opportunities to improve velocity and reduce the overall cycle time.
- Data Strategy & Scaling: Define the roadmap for systems that efficiently and accurately gather high-quality catalog data and behavioral events from prospects, including the development of automated JavaScript code and utilities for live data collection.
- Engineer Automation: Identify repetitive tasks performed by Engineers and prioritize the integration of advanced technologies (e.g., LLMs and Agents) to automate data collection and processing, ensuring the process scales without proportional resource growth.
B. Business Case & Results Optimization (Analyst Focus)
- AI Model Fine-Tuning: Define the tooling and processes that allow teams to work closely with Account Executives to fine-tune our AI models, ensuring they deliver the most relevant and impactful results for each prospect's unique needs.
- Analytical Tools & Reporting: Prioritize and build analytical tools, reports, and dashboards to help Account Executives create better, data-driven demos and provide business case reports and forecasts for potential revenue/conversion lifts for prospects.
- Storytelling & Examples: Build systems and solutions that make identifying great examples easier and help AEs tell better stories about how Constructor can help prospects.
- Product Improvement: Leverage data exploration and analysis (SQL, Python) to understand user behavior and suggest opportunities for improving our core recommendation and search systems.
C. Internal Enablement & Cross-Functional Collaboration
- Sales Self-Service: Build robust internal tooling to empower the Sales and Account Executive teams to manage more proof schedule tasks, reducing dependencies on Engineering and Data Analysts.
- Stakeholder Alignment: Serve as the product liaison, collaborating across Data Analysts, Frontend Engineers , and Account Executives to prioritize evolving prospect needs and secure deals with prominent e-commerce brands.
What You'll Bring
- Experience: 5+ years of Product Management experience, ideally working on B2B SaaS, Data/AI platforms, or complex pre-sales/sales enablement solutions.
- Technical Acumen: Ability to interface effectively with engineers working on JavaScript and data pipelines (ETL) and data analysts proficient in SQL.
- Data & Analytics: Comfortable defining data requirements for BI dashboards and analytical tools , and leveraging massive amounts of data to drive product innovation.
- Customer & Business Focus: Proven experience working directly with customers (prospects) and sales teams to deliver solutions that translate technical capabilities into clear business value and revenue optimization.
- Soft Skills: Excellent communication and interpersonal skills to translate business asks into technical language and vice versa.
Benefits
- 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year
- 💰 A competitive compensation package including stock options
- 👨⚕️ Company sponsored US health coverage (100% paid for employee)
- 🌎 Fully remote team - choose where you live
- 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office
- 💻 Apple laptops provided for new employees
- 🧑🎓 Training and development budget for every employee, refreshed each year
- 👪 Parental leave for qualified employees
- 🧠 Work with smart people who will help you grow and make a meaningful impact
This position is fully remote - Constructor.io is a remote-first company.
Diversity, Equity, and Inclusion at Constructor
At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.
