Education Requirements:

• Preparing a Bac +5 degree in business school, growth hacking, Marketing or equivalent university.

Experience Requirements:

• A first experience in prospecting, growth or digital marketing is a plus.

Other Requirements:

• Curious, proactive and comfortable with digital tools (LinkedIn, HubSpot, Apollo, Lemlist, Notion, etc.)

• Likes to communicate, analyze and test new approaches

• Entrepreneurial spirit and the desire to contribute to the growth of a high-impact startup

• A good level of English is essential (international environment).

Responsibilities:

• Identify and qualify new prospects via different channels (LinkedIn, email, calls, events).

• Deploy targeted multi-channel prospecting campaigns.

• Schedule and organize appointments for the sales team.

• Design growth hacking strategies to generate qualified leads.

• Analyze campaign performance and track KPIs (click-through rate, conversion, ROI).

Experience Requirements:

• You think in systems and code fluently - Strong technical foundation with ability to write SQL, architect integrations, and choose the right technology for each challenge

• You thrive on direct customer interaction - Natural ability to translate complex technical concepts into clear business value while turning customer feedback into prioritized development work

• You sprint but never ship half-baked - Bias toward action with unwavering commitment to quality, ensuring every implementation meets both timeline and excellence standards

• You want strategic influence - Seeking a role where data, product, and revenue decisions intersect, with direct input on company direction and customer success

Responsibilities:

• Own the semantic layer for commerce agents - Build the unified data model that turns raw Shopify, ad, and retention data into the language that AI agents understand, creating consistent metrics and business logic across every store and channel

• End-to-end impact from pre-sale to expansion - Design compelling proofs of concept that accelerate our sales cycle, then lead implementations that hit time-to-value in weeks while identifying expansion opportunities

• High-leverage, high-ownership environment - Write SQL, architect integrations, and sit shoulder-to-shoulder with revenue leaders where your technical decisions directly impact retention and LTV

• Strategic seat at the table - Work at the critical intersection of data, product, and revenue where your insights shape both customer success and product development

• Drive $1M ARR per quarter - Own the technical close for high-value deals through compelling demonstrations, custom proofs of concept, and seamless technical implementations

Benefits:

• An amazing team to work with

• Competitive pay & equity

• Remote role

• Unlimited Time Off

• Flexible Work Hours

Education Requirements:

• BS or MS in Computer Science or related field.

Experience Requirements:

• 5+ years of technology industry experience in a hands-on engineering role.

• 2+ years of experience building and launching AI products.

• Experience working in high paced, customer focused environment.

• Experience building both backend and frontend solutions using Python and Typescript.

• Experience building agentic systems, understanding of the recent frameworks is a strong plus.

Other Requirements:

• Being located in Brazil and speaking Portuguese is a must

Responsibilities:

• Prototyping, building and launching AI experiences for large retailers and enterprises.

• Partnering with PM, sales and clients to define and refine customer requirements.

• Partnering with engineering teams in San Francisco to leverage the latest capabilities of the AI platform as well as contributing to the platform where needed.

• Establishing and implementing AI business metrics, analyzing data and iterating to progressively and relentlessly improve business performance.

• Planing your work, negotiating on dates, and offering creative solutions and practical tradeoffs to compromise between client deadlines and feature completeness.

Education Requirements:

• Bachelors or Masters in Computer Science or AI from top engineering schools

Experience Requirements:

• 3+ years of experience developing state-of-the-art AI technologies in at least one of the following areas: Graph Machine Learning, Reinforcement Learning, Linear and Non-linear Optimization, Computer Vision, Generative AI

Other Requirements:

• Strong problem solving skills and fast paced work ethic

• Interest in building cutting-edge AI technologies to solve real-world problems

• Fast learner able to adapt to challenging environments

• PhD in AI from a top engineering school

• Interest in learning about Materials Science

• Experience in implementing tech solutions in the industry sector

Responsibilities:

• You will build state-of-the art AI technologies.

• You will interact closely with developers and product teams to build a technology which will have a direct impact on our users.

• You will directly report to the CTO.

• You will contribute to a strong mission where AI is key.

• You will tackle real-world challenges and complex problems at the forefront of machine learning for materials science.

Education Requirements:

• Bachelors or Masters in Computer Science or AI from top engineering schools

Experience Requirements:

• PhD in AI from a top engineering school or 3+ years of work experience as an AI engineer

• Experience developing state-of-the-art AI technologies in at least one of the following areas: Graph Machine Learning, Reinforcement Learning, Linear and Non-linear Optimization, Computer Vision, Generative AI

Other Requirements:

• Strong problem solving skills and fast paced work ethic

• Interest in learning about Materials Science (prior knowledge is not required)

• Interest in building cutting-edge AI technologies to solve real-world problems

• Fast learner able to adapt to challenging environments

Responsibilities:

• You will build state-of-the art AI technologies

• You will interact closely with developers and product teams to build a technology which will have a direct impact on our users

• You will directly report to the CTO

• You will contribute to a strong mission where AI is key

Education Requirements:

• Bachelors or Masters in Computer Science or AI from top engineering schools

• Currently enrolled in a Computer Science/AI degree or recently graduated

Experience Requirements:

• Experience developing state-of-the-art machine learning technologies

Other Requirements:

• Strong problem solving skills and fast paced work ethic

• Interest in learning about Materials Science (prior knowledge is not required)

• Interest in building AI technologies which will directly impact a product

• Fast learner able to adapt to challenging environments

Responsibilities:

• You will build state-of-the art machine learning models

• You will interact closely with developers and product teams to build a technology which will have a direct impact on our users

• You will directly report to the CTO

• You will contribute to a strong mission where AI is key

Education Requirements:

• Bachelors or Masters in Applied Mathematics or Computer Science from top engineering schools

Experience Requirements:

• Strong background in Data Analysis, Machine Learning and Statistical Modeling

• Previous experience working on end-to-end data science projects

Other Requirements:

• Strong problem solving skills and fast paced work ethic

• Interest in learning about Materials Science (prior knowledge is not required)

• Interest in building cutting-edge AI technologies to solve real-world problems

• Fast learner able to adapt to challenging environments

Responsibilities:

• You will solve complex data science problems

• You will work closely with cross-functional teams to uncover data-driven insights and develop machine learning models

• You will implement high-value data-oriented for our software to bring the highest value to our customers

• You will directly report to the CTO

• You will contribute to a strong mission where AI is key

Education Requirements:

• Bachelors or Masters in Applied Mathematics or Computer Science from top engineering schools

Experience Requirements:

• Strong background in Data Analysis, Machine Learning and Statistical Modeling

• Previous experience working on end-to-end data science projects is preferred

Other Requirements:

• Strong problem solving skills and fast paced work ethic

• Interest in learning about Materials Science (prior knowledge is not required)

• Interest in building cutting-edge AI technologies to solve real-world problems

• Fast learner able to adapt to challenging environments

Responsibilities:

• You will solve complex data science problems

• You will work closely with cross-functional teams to uncover data-driven insights and develop machine learning models

• You will implement high-value data-oriented for our software to bring the highest value to our customers

• You will directly report to the CTO

• You will contribute to a strong mission where AI is key

Education Requirements:

• Bachelors or Masters in Computer Science, Software Engineering or equivalent work experience

Experience Requirements:

• 3+ years of experience as a full-stack engineer

• Experience developing and managing AI infrastructure

Other Requirements:

• Strong problem solving skills and fast paced work ethic

• Interest in learning about Materials Science (prior knowledge is not required)

• Fast learner able to adapt to challenging environments

• Previously worked in a startup

• Experience building B2B SaaS

• Experience in our tech stack: Vercel, Next.js, AWS, Typescript, Tailwind CSS, Python

Responsibilities:

• You will be at the heart of the technology development

• You will directly report to the CTO

• You will contribute to a strong mission where software is key

Benefits:

• variable compensation

• equity

• benefits

Experience Requirements:

• 2+ years of professional experience

Other Requirements:

• Hungry, curious, and consultative mindset

• Strong problem-solving skills with the ability to adapt to different users and scenarios

• Proven understanding and ability to write complex prompts and build AI-agents

• Ability to understand various user types and convey a sense of the most valuable applications of AI in diverse job functions

• Excellent communication skills to effectively interact with multiple stakeholder groups

• Product sense and ability to drive a product’s full potential capabilities

• Customer presence: ability to work with any level from individual contributors to CEOs

• Prior experience in consultative roles, solutions engineering, support, or product management

Responsibilities:

• Engage with executive sponsors and provide strategic reviews and consult customers on developing and executing on their AI roadmap

• Deeply comprehend Glean's suite of products, ensuring the ability to best help customers get the most out of the Glean platform

• Conduct use case discovery workshops and turn those use cases into tangible outcomes

• Collaborate internally with Product and R&D to help shape Glean’s product roadmap based on the voice of our users

• Proactively identify opportunities to expand Glean’s deployment and enhance customer engagement

Experience Requirements:

• 3+ years of sales experience in healthcare technology (startup experience preferred)

• Proven track record of building and closing pipelines in a fast-paced environment

• Experience running full-cycle deals: prospecting → discovery → demo → contract → implementation.

Other Requirements:

• Excellent communication and relationship-building skills

• Ability to operate in ambiguity, create structure, and scale processes in a new business unit

• Worked in Revenue cycle companies or Healthtech

• Experience selling automation, or AI solutions

• Knowledge of workflow-based pricing and/or token-based sales models

Responsibilities:

• Prospect and build a qualified pipeline of healthcare providers (outpatient/post-acute care, mental health, ambulatory care etc.)

• Run discovery calls to deeply understand customer goals and qualify opportunities

• Coordinate with Sales Engineering to plan and deliver tailored demos

• Drive proof-of-concept (POC) contracts with customers and ensure smooth handoff to Implementation

• Partner closely with the Implementation team to ensure POC success and conversion into long-term recurring contracts

Experience Requirements:

• 2+ years of quota-carrying SaaS sales experience (AE or AM with close responsibility). Startup experience a plus.

• Demonstrated full-cycle proficiency: prospecting, discovery, value selling, negotiation, and closing.

• Track record of hitting/exceeding quota with expansion or net-new ACVs; comfortable opening doors and growing footprint.

Other Requirements:

• Executive presence with the ability to multi-thread at the C-level and quantify business impact

• Strong communication, relationship-building, and negotiation skills

• Comfortable working in a fast-paced, startup environment with evolving processes

• Familiarity with workflow automation, AI, or data-heavy enterprise solutions

• Experience managing complex renewal/expansion motions across departments

Responsibilities:

• Carry and beat a closing quota across a named account list; drive expansions, cross-sell, and multi-year renewals.

• Run full-cycle sales: build pipeline (outbound + partner/marketing), multi-thread, deliver tailored demos, handle evaluations, negotiate, and close.

• Negotiate renewals with a focus on multi-year, higher-value commitments.

• Provide feedback to Product and Leadership teams on enterprise customer needs.

• Track expansion ARR, renewal values, and overall account growth metrics.

Experience Requirements:

• How many years of hands-on experience do you have with Python scripting?

• Have worked with API integrations?

Other Requirements:

• interested in AI/ML space

• good with communication

• enjoy tasks with quick wins and love solving a diverse set of problems

• understand Nanonets’ product really well

• understand customer requirements/goals

• build machine learning models on the Nanonets platform to demo capabilities to customers on their own data

Responsibilities:

• Accompanying salespeople on client calls to answer technical questions, understand their current processes and goals with Nanonets, and suggest improvements.

• Building solutions/demos based on their requirements using Nanonets product

• Write code to solve user requirements that the product doesn’t support completely

• Solving challenges potential customers might be facing with the product

• Researching about customers current tools/stack and building technical architecture for end solution we are proposing that will solve their problem

Experience Requirements:

• 5+ years of experience working across Saas, AI, Automation, Consulting, VC, IB along with some sales exposure

• Proven ability to manage complex, multi-stakeholder enterprise deals.

Other Requirements:

• Consulting, Founder, Investing, Analytical background (e.g., strategy consulting, VC/IB, business consulting, pre-sales, or equivalent structured problem-solving roles)

• Comfortable navigating long sales cycles

• Exceptional communication, presentation, and executive relationship-building skills

• Strong outbound prospecting and pipeline-building capability

• Experience with workflow-based pricing or selling tokens

• High-level understanding of LLMs, RAG, and model fine-tuning

• Prior experience transitioning from consulting/strategy into enterprise SaaS sales

Responsibilities:

• Own the full sales cycle for enterprise accounts in the US — from prospecting to negotiation and closing.

• Engage with C-level executives and senior stakeholders to understand business challenges and design tailored solutions.

• Apply structured, analytical problem-solving skills to craft compelling value propositions and ROI-driven business cases.

• Build and manage strong, trust-based relationships across enterprise accounts.

• Drive pipeline generation through outbound prospecting, events, and networks, in addition to managing inbound leads.

Experience Requirements:

• 6+ years of experience in Product Design

• 2+ years of design leadership experience

• 6+ years of experience working collaboratively with product, engineering, design, content and user research teams

• Experience building and shipping applications or software across a variety of platforms

• Experience leading product direction and strategic thinking with the experience developing product goals, identify opportunities, and make decisions based on the impact to people and the company

Responsibilities:

• Manage and grow small design team, ensuring the team delivers against goals

• Drive innovation by inventing new, ad formats and evolving the Feed surface to make ads feel more native and delightful

• Tackle ambiguity head-on — from concept to execution — bringing clarity and creativity to uncharted problem spaces

• Scale your impact by taking on execution oversight

Education Requirements:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

• Advanced Degree in Computer Science, Math, Physics, or other technical fields

Experience Requirements:

• Project management experience

• Data architecture experience

• Experience in SQL or similar languages

• 9+ years of experience in BI and Data Warehousing

• 2+ years of experience managing managers

Other Requirements:

• Possess in depth data infrastructure and architecture skills, a proven track record of leading and scaling data engineering teams, operational expertise, project management leadership, and a vision for how data engineering can proactively improve companies

• Define processes to achieve operational efficiency, including project management and system reliability

Responsibilities:

• Mission and Strategy: Proactively drive the vision for BI and Data Warehousing across a product vertical and execute plans to achieve it

• Team Building: Build and scale a high-quality BI and Data Warehousing team

• Cross-Functional Collaboration: Establish relationships with Data Scientists, Product Managers, and Software Engineers to understand and meet data needs

• Data Warehouse Management: Lead data warehouse plans and ensure alignment with product vertical goals

• Data Model and Pipeline Development: Lead the design, building, and launching of new data models and pipelines in production

Education Requirements:

• Bachelor of Arts/Bachelor of Science in Computer Science, Math, Physics, or other technical fields

• Advanced Degree in Computer Science, Math, Physics, or other technical fields

Experience Requirements:

• A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams

• 8+ years of experience in BI and Data Warehousing

• Experience initiating and completing BI, data warehousing and/or analytical projects with minimal guidance

• Experience communicating results of analysis to executive leadership

• Project management experience

Responsibilities:

• Drive the mission and strategy for Business Intelligence (BI) and Data Warehousing across a product vertical

• Build and lead a high-quality BI and Data Warehousing team, designing it to scale

• Develop cross-functional relationships with stakeholders to understand data needs and deliver on those needs

• Manage data warehouse plans, drive data quality, and ensure operational efficiency

• Design, build, and launch new data models and pipelines in production

Education Requirements:

• Bachelor's Degree in a business, marketing, technical or related field

Experience Requirements:

• 12+ years of experience in consumer product marketing, product management, management consulting, business strategy or a similar field

• 5+ years of people management experience

• Experience developing global strategy and delivering impactful and measurable communication and campaigns internationally that have been proven successful through data

• Experience in using data to inform strategy and communication and to develop meaningful Go-To-Market approaches that drive business outcomes

• Experience partnering with product management, product design, data science and other cross-functional teams (Analytics, Research, Creative, etc.) to drive business results

Responsibilities:

• Lead and manage a team of product marketers for Instagram

• Influence Instagram’s product strategy and roadmap through the use of data and insights in close collaboration with Research and Data Science, ensuring we’re deepening audience understanding and delivering user value

• Define and manage comprehensive marketing strategy and planning including segmentation, targeting, market sizing, media and communications plan, roll-out strategy, and integration with Public Relations, Editorial, growth, partnerships and performance marketing

• Develop, manage and support the execution of integrated marketing communications efforts that encompass a 360 approach across various channels (digital, social, traditional media, etc.) to support key narratives and impact stories

• Lead and collaborate with a multitude of cross-functional stakeholders to deliver marketing campaigns, product launches and Go-To-Market strategies

Other Requirements:

• CV includes a link to your portfolio

• Currently based in or willing to relocate to Paris, France; Belgrade, Serbia; Lisbon, Portugal; or Bucharest, Romania

• Legally authorized to work in the job location

• Commit to a hybrid work environment that involves working in the office 2 days per week (Wednesday & Thursday)

Benefits:

• Offers Equity

Other Requirements:

• Legally authorized to work in the job location

• Commit to a hybrid work environment that involves working in the office 2 days per week (Wednesday & Thursday)

• Fluent in French & English