Ai Product Pricing Strategist

**Multiverse Computing**

Multiverse is a well-funded and fast-growing deep-tech company founded in 2019. We are the biggest Quantum Software company in the EU. We are also one of the 100 most promising companies in AI in the world (according to CB Insights, 2023) with 150+ employees and growing, fully multicultural and international.

We provide hyper-efficient software to companies wanting to gain an edge with quantum computing and artificial intelligence. Our main product, Singularity, is used in blue-chip companies in finance, energy, manufacturing, cybersecurity and many more industries. Another product, CompactifAI, is used in Large Language Models editing.

You will be working alongside world leading experts to build solutions that tackle real life issues. We look for passionate people that want to grow in an ethics driven environment, promoting sustainability and diversity. We aim to continue building our truly inclusive culture - come and join us.

**Key Responsibilities**
- **Pricing Model Design**: Develop and refine multi-dimensional pricing structures for AI products:

- Consumption-based models (e.g., tokens or compute time).
- Annual licensing for cloud and on-premise deployments.
- Scalable pricing frameworks for large (billion-parameter) vs. small models.
- GPU-specific pricing strategies, considering single vs. multi-GPU deployments.
- **Cloud & Marketplace Alignment**:

- Define optimized pricing strategies for hyperscaler marketplaces (e.g., AWS, Azure, GCP).
- Ensure competitive positioning across cloud platforms and on-premise scenarios.
- **Partner & Channel Incentives**:

- Collaborate with sales and business development teams to structure incentive models for:

- Channel partners.
- System integrators.
- Hyperscaler alliances.
- Design incentives to maximize adoption and revenue growth while maintaining profitability.
- **Benchmarking & Strategy**:

- Analyze competitive products and market trends to ensure our AI offerings remain cost-efficient and attractive.
- Implement pricing optimizations based on user behavior, compute usage, and deployment scale.
- **Cross-functional Collaboration**:

- Work closely with Product, Finance, and GTM teams to align pricing strategies with product goals.
- Support sales teams in communicating and executing pricing plans effectively.
- **Revenue Operations & CRM Implementation**- Establish robust monitoring systems for lead generation, deal pipeline, and revenue tracking.
- Collaborate on implementing a CRM or alternative tools to improve transparency in lead-to-revenue cycles.
- Monitor KPIs and recommend adjustments for improved sales efficiency and ROI.

**What You Bring**
- 3+ years of experience in **SaaS pricing**, ideally for **AI-driven products** or cloud-based solutions.
- Proven expertise in designing multi-tiered pricing models (consumption-based, licensing, and compute-specific).
- Experience with cloud providers (AWS, Azure, GCP) and on-premise deployments involving GPUs.
- Familiarity with partner ecosystems, including channel partners, system integrators, and hyperscaler incentive structures.
- Strong analytical and financial modeling skills to forecast pricing impact.
- Ability to balance technical, strategic, and financial considerations in pricing decisions.
- Excellent communication skills to translate complex pricing models into clear, actionable strategies.

**Perks & Benefit**
- Equal pay guaranteed.
- Sales Commission structure.
- Signing bonus.
- Relocation package (if applicable).
- Private health insurance.
- Eligibility for educational budget according to internal policy.
- Hybrid opportunity.
- Flexible working hours.
- Language classes and discounted lunch options
- Working in a high paced environment, working on cutting edge technologies.
- Career plan. Opportunity to learn and teach.
- Progressive Company. Happy people culture
- As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply._