About Prophecy 

The leader in AI-native data preparation and analysis, Prophecy is revolutionizing how the world’s top enterprises turn data chaos into reliable insights. We introduce the AI-native data lifecycle (generate, refine, deploy) where our industry leading AI agents and humans work hand-in-hand in visual and document interfaces to analyze, transform and prepare data, to ship trusted insights at enterprise scale. 

Don’t miss the rocket ship—join Prophecy and build the next data revolution.

Must-Have Skills:

• Hands-on LLM/agent building (e.g., LangChain/Graph, CrewAI) and tuning to quality benchmarks.
• Experience with semantic search, RAG, and vector databases.
• Experience with prompt engineering and optimization
• Agentic Use Cases: Hands-on experience building and deploying agents in at least one of the following scenarios:
• Workflow Orchestration: Automating multi-step processes (e.g., ETL pipelines, supply chain optimization, or CRM workflows like Salesforce Agentforce).
• Code Generation/Assistance: Developing or debugging code autonomously (e.g., similar to Devin AI or GitHub Copilot extensions).
• Data Analysis/Transformation: Querying, manipulating, or analyzing data across sources (e.g., topic extraction, document analytics in vector DBs like Weaviate).
• Personalized Assistance: Tailoring recommendations or plans (e.g., e-commerce, education, or finance agents).
• Autonomous Decision-Making: Real-time decisions in domains like trading or healthcare (e.g., crypto trading, medical workflow optimization).
• Content Creation: Generating text, art, or media (e.g., social media automation, presentation creation).
• Multi-Agent Systems: Collaborative agents for simulations or transactions (e.g., policy-constrained evaluation, machine-to-machine commerce).
• Versatile software developer: fluency in Python, REST APIs, microservices in public cloud; some experience with Go, AWS, k8s, java, Scala.
• Builder mentality: Demonstrated experience taking ideas to production.

What Will Make You Stand Out

• Expertise in building and managing Knowledge Graphs, including entity extraction, linkage, and ontology design.
• Experience integrating Knowledge Graph with AI systems for retrieval, reasoning, and agent context (e.g., enriching with LLM).
• ML/LLM work in code generation (e.g., Codex, text-to-SQL), semantic extraction, or knowledge graphs (e.g., Neo4j, Neptune).
• Experience with big-data engines like Spark.
• Compiler development for languages like SQL, Python, or Scala.
• Optimization of ML models for low-latency, high-throughput production use.
• Contributions to open-source AI/ML projects (e.g., Hugging Face, PyTorch).
• Expertise in retrieval systems or vector databases (e.g., Pinecone, Weaviate).
• Skill in evaluating tech and driving build/buy decisions

Seniority: Mid to Staff Level

Location: This is a Hybrid role with 2-3 days a week in office. However, this can vary week to week. 

Experience: 6+ years of Software Engineering experience minimum with 2+ of these being in AI/ML

Compensation:  $250,000–$350,000

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates. 

Benefits and Perks

• Prophecy covers 99% of employee health insurance premiums and 75% for dependents
• We offer $200 per month towards remote work, wellness, gyms, massages, facials, and more!
• Flexible PTO
• Professional development allowance
• Company sponsored Long Term Disability and Life Insurance, FSA/HSA, dental, vision, and more
• Ability to have your fingerprint on an innovative platform
• End-to-end ownership of your projects. 

*Benefits and perks may vary per country

Prophecy is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, age, disability, or veteran status.

About Prophecy 

Prophecy is building the next generation AI-powered data prep and analysis platform. Our platform enables business analysts and data teams to transform raw data into reliable, production-ready datasets and insights faster, using modern data infrastructure and AI-driven capabilities. We work with leading enterprises to simplify how organizations prepare, analyze, and operationalize data, while maintaining strong governance, security, and operational control. Our mission is to make it dramatically easier for organizations to turn complex data into trusted insights that drive decisions.

About the Roles

We are looking for a Partner Sales Manager who can do both: drive revenue through Prophecy's partner ecosystem, and build an effective partner program. This is an early-stage, high-ownership motion, the playbook is still being written, and you'll have real influence over how we engage partners, what good looks like for partner-sourced pipeline, and how we build durable co-sell relationships with Snowflake, Databricks, GCP field and partner teams.

You will sit at the intersection of sales, partnerships, and strategy, owning partner performance while building the programs and processes that scale it. You'll work directly with our AEs and SEs to bring partners into deals at the right moments, and you'll serve as the primary point of contact for our strategic cloud and ecosystem partners.

What You’ll Own

Partner Revenue & Pipeline

• Own and exceed partner-sourced and partner-influenced revenue targets on a quarterly basis
• Proactively generate pipeline through Snowflake, Databricks, and GCP field AEs and PDMs — building the relationships that produce qualified, sourced opportunities
• Drive joint account mapping and target account activation against Prophecy's ICP: enterprises running Alteryx on Snowflake or Databricks
• Activate co-sell motions through marketplace programs (GCP Marketplace, Snowflake Partner Network, Databricks Marketplace) and joint field events
• Work with Marketing to design co-marketing initiatives and demand gen activities that drive inbound from partner channels

Deal Execution & Co-Selling

• Serve as the Prophecy quarterback on partner-sourced and partner-influenced deals — from discovery through close
• Work directly with AEs and SEs to bring cloud partners into active deal cycles at the right moments, with clear roles, clean handoffs, and shared accountability for outcomes
• Own the Prophecy Express offer and Alteryx migration motion in partnership with Snowflake, Databricks, and GCP field teams
• Manage deal registration, co-sell hygiene, and pipeline tracking across partner portals and Salesforce

Partner Relationships & Enablement

• Build and maintain working relationships with cloud partner field AEs, PDMs, and alliance managers — at the level required to generate consistent pipeline referrals
• Serve as Prophecy's primary point of contact for strategic partner communications, QBRs, and co-sell coordination
• Keep partners informed and enabled on Prophecy's core positioning, displacement motion, and key use cases — enough to refer and co-sell confidently

Foundation Building

• Contribute to co-sell playbooks, partner GTM frameworks, and joint solution narratives as the motion matures
• Track partner pipeline health, forecast partner-attached revenue, and report weekly on pipeline created and deals advanced
• Collaborate with RevOps to ensure partner attribution, CRM hygiene, and accurate sourced vs. influenced reporting

What We’re Looking Fo

Preferred

• 6+ years in partner sales, channel sales, or alliances at a B2B SaaS company — with a quota and a track record to show for it
• Proven ability to generate pipeline and close revenue through cloud ecosystem partners, not just manage relationships
• Experience co-selling with hyperscaler field teams (Snowflake, Databricks, GCP, AWS, or Azure)
• Comfortable operating as both a hunter and a builder — you can work deals and design the motion around them
• Strong co-selling instincts — you know when to bring a partner in, how to position their involvement, and how to keep deals moving
• Data-driven and operationally disciplined — you forecast with integrity, keep CRM clean, and surface blockers early

Strongly Preferred

• Background in data engineering, analytics, or the modern data stack (Snowflake, Databricks, dbt, Alteryx)
• Familiarity with Alteryx displacement or legacy platform migration motions
• Prior work at or with Snowflake, Databricks, or GCP — with existing field-level relationships you can activate
• Experience with marketplace co-sell mechanics (GCP Marketplace, Snowflake Marketplace, AWS Marketplace)

Seniority: Mid to Staff Level

Location: Bay Area, CA or Remote

What Prophecy Offers:

• Prophecy covers 99% of employee health insurance premiums and 75% for dependents
• Discretionary allowance for cell phone, wifi, gym memberships, wellness, and more
• Flexible PTO
• Professional development allowance
• Company sponsored Long Term Disability and Life Insurance, FSA/HSA, dental, vision
• Ability to have your fingerprint on an innovative product
• End-to-end ownership of your projects.
• Benefits and perks may vary per country
• At Prophecy, we hire for merit and foster an inclusive culture where people from diverse backgrounds can excel and do their best work. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. 

Don’t miss the rocket ship, join Prophecy and build the next data revolution!

About Prophecy 

Prophecy is building the next generation of AI-powered Data Prep and Analytics. Our platform enables business analysts and data teams to transform raw data into reliable, production-ready datasets and insights faster, using modern data infrastructure and AI-driven capabilities. We work with leading enterprises to simplify how organizations prepare, analyze, and operationalize data, while maintaining strong governance, security, and operational control. Our mission is to make it dramatically easier for organizations to turn complex data into trusted insights that drive decisions.

Why This Role Exists

We are building an AI-native data platform that sits at the intersection of data infrastructure, analytics, and intelligent systems.

We are looking for a Senior Product Manager who operates like a builder and owner, not just a planner, but someone who:

• Thinks in terms of the full data → insights → decisions → actions lifecycle
• Uses AI tools and prototyping to explore ideas before formalizing them
• Balances deep customer understanding with strong technical intuition
• Drives products from concept to production with high ownership and velocity

You will own a product area end-to-end and play a critical role in shaping how analysts interact with data in modern enterprise environments.

What You’ll Do

Product Strategy & Ownership

• Own and evolve the roadmap for a product area over a 1–3 quarter horizon, balancing customer needs, technical investments, and business goals
• Translate product vision into clear initiatives and priorities aligned with Prophecy’s broader strategy
• Evaluate opportunities based on impact, effort, and strategic fit, making thoughtful trade-offs
• Think beyond features to systems: how do capabilities fit into the broader data and analytics ecosystem

Customer Insight & Discovery

• Develop deep understanding of analyst workflows across data preparation, transformation, and analysis
• Run continuous discovery through customer interviews, product usage data, sales and support signals, and win/loss analysis
• Frame problems clearly before jumping to solutions
• Understand enterprise constraints including governance, compliance, and operational complexity

AI-Native Product Development

• Use AI tools (LLMs, copilots, workflows) as a core part of product development, not an afterthought
• Build lightweight prototypes (prompts, workflows, internal tools) to validate ideas before writing full specifications
• Identify where AI-driven capabilities and automation can meaningfully improve user workflows
• Ensure AI features are reliable, explainable, and aligned with enterprise requirements

Product Development & Execution

• Work closely with engineering and design to deliver high-quality product capabilities
• Write clear, structured product specifications grounded in data and user insight
• Define success metrics and track adoption, impact, and effectiveness
• Monitor execution progress, identify risks early, and drive cross-team alignment
• Maintain a high bar for usability, reliability, and product integrity

Cross-Functional Leadership

• Align engineering, design, sales, and customer success around shared outcomes
• Communicate product direction through clear documentation and structured decision-making
• Resolve ambiguity and misalignment quickly to maintain execution momentum
• Contribute to product positioning and narrative through artifacts such as one-pagers, demos, and customer-facing materials

Operational Ownership

• Own the operational health of your product area, including performance monitoring, feature adoption, issue triage, and iteration cycles
• Establish and improve repeatable processes that increase execution speed and predictability

Who You Are

Required

• 5+ years of product management experience in data platforms, analytics products, developer tools, or enterprise software
• Strong understanding of data preparation, analytics workflows, and modern data infrastructure
• Experience working closely with engineering teams to deliver technical products
• Hands-on familiarity with AI-powered products or intelligent systems
• Ability to translate complex problems into clear, actionable product specifications
• Experience working with APIs, SDKs, CLIs, or other developer-facing systems
• Strong written and verbal communication skills

Preferred

• Experience operating in a high-growth startup environment (Series A–C)
• Comfortable using AI tools (LLMs, copilots) to accelerate your own workflow and product thinking
• Ability to prototype ideas, e.g. prompts, workflows, lightweight tools to validate concepts quickly
• Familiarity with technologies such as Spark, SQL, data warehouses, ETL/ELT pipelines, or orchestration systems
• Experience working with enterprise customers and complex data environments
• Ability to interpret product analytics and customer signals to guide decisions

Strongly Preferred

• Experience shipping AI/ML-powered capabilities in data or analytics products
• Deep familiarity with the modern data ecosystem, e.g. Snowflake, Databricks, BigQuery
• Experience building products for regulated industries, e.g. finance, healthcare, pharma with requirements around governance, lineage, and compliance
• Experience navigating enterprise sales cycles and deployment constraints

How You Work

• You operate with a sense of end-to-end ownership and accountability
• You are comfortable with ambiguity and move quickly to create clarity
• You combine product intuition with data-driven decision making
• You use tools including AI to increase leverage and speed
• You care deeply about building products that deliver real, measurable outcomes for customers

Seniority: Mid to Staff Level

Location: This is a Hybrid role with 2-3 days a week in office. However, this can vary week to week. 

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates. 

Benefits and Perks

• Prophecy covers 99% of employee health insurance premiums and 75% for dependents
• We offer $200 per month towards remote work, wellness, gyms, massages, facials, and more!
• Flexible PTO
• Professional development allowance
• Company sponsored Long Term Disability and Life Insurance, FSA/HSA, dental, vision, and more
• Ability to have your fingerprint on an innovative platform
• End-to-end ownership of your projects. 

*Benefits and perks may vary per country

Prophecy is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, age, disability, or veteran status.

Customer Success Manager, Master’s degree in Information Systems, Computer Science with 2 years of experience; Lead strategic initiatives by coordinating execution across Customer Success, Sales, Engineering, Product, and Support teams, using project tracking tools such as Rocket Lane, Asana, and ServiceNow. Lead Customer Success, Sales, and Product efforts to set up customers for success and present the product roadmap, including requested features. Develop and enhance OEM partner onboarding and value delivery assets that outline every stage of the customer journey, from initial setup to go-live. Design post-launch governance models, including SLA (Service Level Agreement) alignment, risk tracking dashboards in Databricks, and escalation workflows using ServiceNow. Create business review frameworks (QBR & EBR) and executive success summaries using Salesforce reports, dashboards, and shared slide templates. Develop and maintain internal documentation for Success and Support readiness, field enablement, and onboarding SLAs. Define long-term OEM success operations, reporting workflows, and scalable templates. Skills; Rocket Lane, Asana, ServiceNow, OEM, SLA, QBR & EBR. Must be willing to travel and/or relocate to the company’s various worksites throughout the U.S., including the corporate office located at 400 Concar Dr, San Mateo, CA 94402. Each trip is expected to last from a few days up to a maximum of one week. Send resume to SimpleDataLabs Inc dba Prophecy, 3790 El Camino Real, Unit #688, Palo Alto, CA 9430