Experience Requirements:

• 5+ years of experience in Sales Engineering, Solutions Consulting, Solutions Architecture, or a closely related technical customer-facing role

• Proven track record supporting SaaS sales cycles with complex technical products — ideally in the data, analytics, or AI infrastructure space

• Deep fluency in the modern data stack: cloud data warehouses (Snowflake, Redshift, BigQuery), data transformation tools, semantic or metrics layers, and BI platforms

• Strong SQL skills and a solid grasp of data modeling concepts

• History of hitting or exceeding quota in a technical sales role, ideally with recognition for performance

Other Requirements:

• Comfortable navigating full sales cycles — from discovery and technical validation to security reviews and executive presentations

• Exceptional communicator who can engage engineers, data leaders, and C-suite stakeholders with equal clarity and credibility

• Entrepreneurial mindset: thrives in fast-moving startup environments and solves problems proactively

• Hands-on experience with semantic or metrics layers — Cube, LookML, MetricFlow, dbt Semantic Layer, or similar

• Familiarity with legacy OLAP technologies (Microsoft SSAS, Oracle Essbase, SAP BW)

• Proficiency in at least one high-level programming language: Node.js, Python, Ruby, Java, Scala, or similar

• Experience building or contributing to solutions that integrate AI agents, LLMs, or agentic workflows with data infrastructure

• Background in analytics consulting or data engineering

• Active presence in the data community: published content, conference talks, open-source contributions, or a strong professional network

Responsibilities:

• Become the go-to subject-matter expert on semantic layers, data modeling, performance tuning, and modern data and AI stacks — including how Cube enables Agentic Analytics workflows.

• Partner with Account Executives to deliver tailored demos, technical deep dives, and proof-of-concept engagements that translate complex data challenges into compelling, elegant solutions.

• Own the full technical customer relationship: requirements gathering, solution architecture, integrations, and success criteria for pilots and POCs.

• Translate enterprise data challenges into solutions that leverage Cube's semantic layer alongside BI tools, data warehouses, AI agents, and governance systems.

• Capture and document customer feedback to directly influence the product roadmap and partner integration strategy.

Experience Requirements:

• Hands-on engineer, comfortable owning and shipping production code

• Experience building data, analytics, or AI products

• Background in startups or scale-ups with hybrid or fast-evolving roles

• Practical experience with AI technologies, LLMs, or agent-based systems

• Familiarity with modern backend architectures, cloud platforms, or distributed systems

Other Requirements:

• Strong product mindset — thinking in terms of user value, outcomes, and what's actually worth building

• Genuinely excited about AI, agents, and the data and analytics space

• Comfortable with ambiguity and enjoy shaping problems as much as solving them

• Strong communicator who thrives in a remote, async team

• Fluent in English

• Contributions to open-source or public technical projects

Responsibilities:

• Take product ideas from concept to production — owning both the 'what' and the 'how.'

• Build, prototype, and ship core product features, with a focus on AI- and agent-powered experiences.

• Turn user needs and business goals into pragmatic, working software.

• Explore practical AI use cases and turn the most promising ones into real product value.

• Make fast, sound technical decisions in close partnership with engineering and product.

Benefits:

• Competitive salary and generous stock options in a growing company

• Unlimited PTO — we actually use it

• Remote-first culture with coworking space stipend if you prefer not working from home

• Team offsites several times a year (locations rotate between the US and Europe)

• Professional development budget — training courses, books, conferences

Experience Requirements:

• 5+ years in a customer-facing role at a data, analytics, or developer-tools company (CSM, technical account manager, solutions consultant, or similar)

• Strong SQL skills — you can write queries with window functions, CTEs, and cohort logic, and you can read someone else's SQL and spot what's wrong

• Experience working with technical stakeholders and executive stakeholders in the same account

• Track record of managing renewals and driving account growth in a SaaS environment

• Familiarity with the modern data stack: cloud data warehouses, transformation tools (dbt), and BI/analytics tools

Other Requirements:

• Ability to run a QBR that a data leader would actually find valuable — business narrative, not just metrics

• Excellent written and verbal communication

• Based in the US with availability for overlap with US business hours

• Experience with Cube or semantic layer concepts

• Background in analytics engineering, data engineering, or BI

• Familiarity with embedded analytics use cases and multi-tenant architectures

• Experience with API-first or developer-tool products where the buyer is technical

• Understanding of AI/LLM integrations in the data stack

• Comfort with light data modeling, YAML/code-based configuration, or git workflows

Responsibilities:

• Own customer outcomes. Manage a portfolio of mid-market and enterprise accounts end-to-end — from onboarding through renewal.

• Run strategic QBRs. Prepare and deliver quarterly business reviews that go beyond usage dashboards.

• Get technical. Understand how customers have modeled their data in Cube, diagnose performance issues, and advise on best practices.

• Be the voice of the customer internally. Translate customer feedback into actionable product insights.

• Drive adoption of new capabilities. Cube's platform is evolving fast — Analytics Chat, embedded agentic analytics, MCP integration, workbooks and dashboards.

Experience Requirements:

• Experienced building multi-threaded campaigns across mid-market and enterprise organizations

• Enterprise sales experience, ideally with exposure to (or genuine interest in) the data/analytics industry

• Familiar with sales prospecting tools such as Attio, Apollo, and LinkedIn Sales Navigator

Other Requirements:

• A highly motivated, disciplined self-starter with strong interpersonal skills and excellent written, verbal, listening, and presentation skills

• Metrics-driven, with an analytical approach to solving business problems and reviewing and reporting on KPIs

• Creative and strategic in how you generate qualified leads

• Comfortable interacting with stakeholders across multiple departments

• Hiring for this role in the United States

Responsibilities:

• Hit a quarterly target of qualified meetings sourced from our range of inbound channels — paid and organic, free (PLG) signups, and open-source users.

• Build outbound campaigns that drive interest, user signups, and qualified meetings for sales.

• Continually optimize target audiences, sales cadences, and pitches for the best results.

• Run outreach across a mix of traditional and new channels — email, phone, LinkedIn, AI — and keep testing new methods and messaging.

• Improve GDR efficiency by bringing in and implementing new tools.

Experience Requirements:

• Strong experience with cloud infrastructure (AWS, GCP, or similar)

• Hands-on experience with Kubernetes, container orchestration, and infrastructure-as-code (Terraform or equivalent)

• Experience building and operating production systems with high availability and performance requirements

• Proficiency in at least one programming language used for platform development (Go, Rust, TypeScript, Python, or similar)

• Experience with observability stacks (Prometheus, Grafana, OpenTelemetry, etc.)

Other Requirements:

• Solid understanding of distributed systems, networking, and Linux internals

• Familiarity with CI/CD systems and release automation

• Good communication skills and ability to work effectively in a remote, async environment

• Fluent English

• Background in security best practices for cloud platforms

• Experience operating data-intensive or analytics-heavy platforms

• Hands-on use of AI coding tools (Claude Code, Cursor, Copilot, or similar)

• Contributions to open-source infrastructure or platform projects

Responsibilities:

• Designing and maintaining cloud-native infrastructure for a globally distributed analytics platform.

• Building internal platform tooling to improve developer velocity, observability, and deployment safety.

• Scaling multi-tenant systems that serve large volumes of analytical queries with strict latency requirements.

• Improving reliability, fault tolerance, and disaster recovery for Cube cloud platform.

• Operating Kubernetes-based environments and evolving our deployment and release pipelines.

Education Requirements:

• Bachelor’s degree in Web Design, Computer Science, or a related field (or equivalent experience).

Experience Requirements:

• 2+ years of experience in UI/UX design and front-end development.

• Proven experience as a UI/UX Developer or similar role, with a strong portfolio demonstrating design and front-end skills.

• Proficiency in design tools such as Figma, Adobe XD, or Sketch.

• Strong coding skills in HTML5, CSS3, and JavaScript, with familiarity in frameworks such as Bootstrap or Tailwind CSS.

• Experience with JavaScript frameworks like React.js, Vue.js, or Angular.

Other Requirements:

• Deep understanding of responsive design, cross-browser compatibility, and mobile-first development.

• Knowledge of accessibility standards (WCAG) and SEO best practices.

• Experience with user research, A/B testing, and creating user personas.

• Strong attention to detail and ability to work in a fast-paced environment.

Responsibilities:

• Design and develop responsive, user-friendly web and mobile interfaces aligned with Auralis AI’s brand and objectives.

• Collaborate with product managers, designers, and developers to gather and analyze user requirements.

• Create wireframes, mockups, and prototypes to visualize ideas and iterate on designs.

• Develop front-end code using HTML, CSS, JavaScript, and frameworks such as React.js, Vue.js, or Angular.

• Ensure design consistency through the creation and maintenance of a design system.

Experience Requirements:

• 3 to 5 years in a quota-carrying B2B SaaS closing role (AE, not SDR/BDR only): at least 2 years closing, not just sourcing.

• Demonstrated experience selling to US or other international customers from India.

• Track record: quota attainment history, average deal size, sales cycle length, logos.

Other Requirements:

• Comfortable running technical demos of an AI/automation product and scoping integrations.

• Fluent written and spoken English at a native-like level.

• Bangalore-based or willing to relocate; in-office.

• Legally eligible to work in India; no visa sponsorship.

• Available to work a shifted schedule 2 to 3 days a week for US-morning / EU-afternoon calls.

• Able to travel internationally on occasion (valid passport).

Responsibilities:

• Build and work your own pipeline in target niches via outbound sequences, partner intros, events and inbound follow-up.

• Run discovery and demos for CX, support and operations leaders in US/EU/APAC time zones.

• Scope and drive paid pilots to conversion.

• Manage a Pipedrive pipeline with accurate stages, next steps and forecast every week.

• Build vertical-specific talk tracks, objection handling and ROI narratives.

Experience Requirements:

• 5 to 7 years in B2B SaaS sales, with at least 3 years as a full-cycle closer selling to US or international customers from India.

• Multiple years of quota attainment, including at least one year over 100% with deal sizes ≥ $25k ACV.

• Has sold an AI, automation, CX/support, or CCaaS product, or a comparably technical product to operations/CX/IT buyers.

• Has built or materially rebuilt a sales process at an early-stage company.

• Experience selling through or alongside partners/channels.

Other Requirements:

• Executive-grade communication in English; comfortable presenting to C-level buyers.

• Bangalore-based or willing to relocate; in-office.

• Legally eligible to work in India; no visa sponsorship.

• Available to work US/EU-overlapping hours several days a week.

• Valid passport and willingness to travel internationally (roughly 4 to 8 weeks a year).

Responsibilities:

• Close the top of the pipeline: multi-stakeholder mid-market and lower-enterprise deals in the US, DACH, ANZ and India.

• Design the pilot-to-paid motion end to end: pilot scope templates, success criteria, commercial conversion triggers.

• Own the sales playbook: ICP definitions, discovery framework, demo flows, objection library, pricing and discount policy.

• Build and manage partner-sourced pipeline with system integrators, ERP/CRM consultancies and vertical software vendors.

• Recruit, onboard and coach AEs as the team grows; run deal reviews.

Experience Requirements:

• 3 to 5 years in Customer Success, Account Management or Implementation at a B2B SaaS company.

• Has managed international (US/EU) customers from India, including running QBRs and handling escalations across time zones.

• Has owned renewal and/or expansion targets and can show retention numbers.

Other Requirements:

• Hands-on with a technical product: comfortable configuring workflows, reading integration logs, explaining AI behaviour.

• Excellent written and spoken English; structured, calm communicator.

• Bangalore-based or willing to relocate; in-office.

• Legally eligible to work in India; no visa sponsorship.

• Available for US-morning / EU-afternoon customer calls 2 to 3 days a week.

Responsibilities:

• Run onboarding and go-live for new customers and pilots: kickoff, knowledge/workflow ingestion, agent configuration review, launch.

• Own a book of accounts across US, Europe and India; run monthly/quarterly business reviews with defined outcome metrics.

• Drive adoption: identify low-usage accounts early, run enablement, and remove blockers with engineering.

• Own renewals and identify expansion (new channels, new departments, new agents).

• Manage escalations calmly and close the loop; maintain health scores in the CRM.

Experience Requirements:

• 5 to 7 years in Customer Success / Account Management in B2B SaaS, including at least 3 years managing US or international enterprise/mid-market accounts from India.

• Has owned a retention or NRR number and can evidence results (gross retention, NRR, expansion revenue).

• Has built or rebuilt a CS function or a major CS process at an early-stage company or new business unit.

• Deep familiarity with conversational AI, CX/support software or contact-centre platforms.

• Comfortable in executive rooms: has run QBRs and escalations with VP/C-level stakeholders.

Other Requirements:

• Bangalore-based or willing to relocate; in-office.

• Legally eligible to work in India; no visa sponsorship.

• Available for US/EU-overlapping hours several days a week.

• Valid passport; some international travel to strategic customers and events.

Responsibilities:

• Design and run the Auralis customer lifecycle: pilot success plans, go-live methodology, adoption playbooks, health scoring, renewal playbooks, and expansion triggers.

• Own the strategic account book across the US, DACH, ANZ and India.

• Set and hit net revenue retention, gross retention and expansion targets; report weekly to the CEO.

• Define metrics promised to customers and build reporting that proves them.

• Build the CS tooling and process in the CRM; hire, onboard and coach CSMs.

Experience Requirements:

• 4–7 years of experience in RevOps, Data Engineering, Sales Engineering, or GTM Operations.

• Strong technical proficiency with CRMs (HubSpot/Salesforce), automation tools, APIs, and data infrastructure.

• Proven experience in data research, lead list building, and market segmentation.

Other Requirements:

• Strong analytical skills for turning raw data into actionable insights.

• Problem-solving mindset with the ability to identify inefficiencies and automate them.

• Excellent communication skills to collaborate with Sales, Marketing, and Product teams.

Responsibilities:

• Build and maintain target databases with high data quality for outreach.

• Research and curate prospect lists using a structured, logical approach.

• Integrate and automate GTM tools for maximum efficiency.

• Leverage data insights and AI to improve campaign targeting and conversion.

• Connect CRM, marketing automation, and customer success platforms into a unified GTM stack.

Education Requirements:

• Bachelor’s degree in Human Resources, Business Administration, Psychology, or a related field (or equivalent experience).

Experience Requirements:

• 3+ years of experience as an HR professional (startup or fast-paced environment preferred).

• Strong understanding of HR functions, including recruitment, compliance, employee relations, and learning & development.

• Proven ability to design and implement HR policies and processes from the ground up.

• Experience with HR software and tools (HRIS, ATS, payroll systems).

Other Requirements:

• Excellent communication, interpersonal, and conflict-resolution skills.

• Strong organizational and problem-solving abilities with attention to detail.

• Ability to thrive in ambiguity and adapt quickly to changing priorities.

• Advanced proficiency in spoken and written English.

• Strong self-management skills and the ability to work independently.

Responsibilities:

• Lead end-to-end talent acquisition, including sourcing, interviewing, and onboarding.

• Build scalable HR policies, processes, and systems aligned with company culture and business needs.

• Manage employee engagement programs, recognition initiatives, and team-building activities.

• Partner with leadership on workforce planning, performance management, and organizational development.

• Ensure compliance with labor laws, employment regulations, and HR best practices.

Education Requirements:

• Final-year students or recent graduates in BBA, BCom, or related business programs.

Other Requirements:

• Excellent verbal and written communication skills.

• Strong interest in B2B sales, marketing, and client engagement.

• Self-motivated, detail-oriented, and a strong team player.

Responsibilities:

• Identify and research potential clients and market segments across industries.

• Drive lead generation through email campaigns, LinkedIn outreach, and outbound initiatives.

• Support client presentations, product demos, and proposal creation.

• Collaborate with the marketing team to execute campaigns, events, and content strategies.

• Maintain CRM databases and track outreach activities and engagement metrics.

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field (or equivalent experience).

Experience Requirements:

• 2+ years of experience in a technical support, solutions engineering, or customer success role.

• Strong foundation in software troubleshooting, debugging, and problem resolution.

• Experience with APIs, integrations, and web technologies (JavaScript, RESTful APIs, etc.).

• Familiarity with cloud environments (AWS, GCP, or Azure).

• Experience with customer support tools (Zendesk, Intercom, Freshdesk, or similar).

Other Requirements:

• Excellent communication skills with the ability to explain complex concepts clearly to both technical and non-technical audiences.

• Strong organizational and multitasking skills with attention to detail.

• Ability to work independently with minimal supervision.

• Familiarity with Agile methodologies and tools like Jira or Trello.

Responsibilities:

• Serve as the first line of technical and product support for customers, addressing queries, troubleshooting issues, and providing timely resolutions.

• Partner with product and engineering teams to escalate and resolve complex technical challenges.

• Lead customer onboarding, ensuring smooth setup, configuration, and integration of Auralis AI products.

• Develop and maintain support documentation, FAQs, and knowledge base articles.

• Gather customer feedback and relay insights to product teams to influence the roadmap and feature enhancements.

Benefits:

• Remote work equipment allowance up to 5,000,000 KRW

• Support for cafe beverages, study room, or shared office expenses

• Support for software, books, learning materials, and language training fees

• Fitness support, group insurance, and comprehensive health screening

Experience Requirements:

• Over 3 years of relevant work experience

• Multiple VLM research publications (ML/NLP international conference 1st or corresponding author) or equivalent VLM product development/commercialization experience

• Experience building high-quality data pipelines for VLM/LLM and achieving top performance

• Experience leading an AI research group or product development team

Other Requirements:

• Broad and deep understanding of multimodal and Foundation Model development trends

• Preferred: Experience designing Agent Harness for data synthesis (UI/UX, screen recognition)

• Preferred: Experience improving training pipelines with understanding of large-scale post-training (RLVR, OPD)

• Preferred: Top placement in domestic or international AI competitions (e.g., Kaggle)

• Preferred: Outstanding communication skills to share lessons learned with related departments

Responsibilities:

• Oversee the construction of data pipelines (collection, cleaning, generation) for VLM post-training

• Lead optimization of visual reasoning performance of models

• Collaborate closely with Central Training team during model training and testing

• Advance VLM capabilities toward Computer Use Agents

Benefits:

• Remote work equipment allowance up to 5,000,000 KRW

• Support for cafe beverages, study room, or shared office expenses

• Support for software, books, learning materials, and language training fees

• Fitness support, group insurance, and comprehensive health screening

Experience Requirements:

• Experience publishing papers in international conferences on AI model evaluation/analysis (including co-authorship) or ML/NLP topics (as 1st author or corresponding author)

Other Requirements:

• Preferred: Experience in data collection, generation, cleaning, and quality control for AI model evaluation

• Preferred: Experience designing/developing agent systems or workflows including Tool Use

• Preferred: Ability to conduct deep failure analysis and derive insights

• Preferred: Experience formulating logical hypotheses and designing validation experiments

• Preferred: Ability to systemize complex evaluation/data pipelines into reproducible processes

Responsibilities:

• Develop benchmarks and evaluation toolkits for reasoning, human preference alignment, and agent scenarios

• Analyze language bias, cultural understanding, and methodology limits in multilingual evaluation

• Design and optimize evaluation platforms and infrastructure in distributed environments

• Share insights with model development teams to guide technical improvements

Benefits:

• Remote work equipment allowance up to 5,000,000 KRW

• Support for cafe beverages, study room, or shared office expenses

• Support for software, books, learning materials, and language training fees

• Fitness support, group insurance, and comprehensive health screening

Experience Requirements:

• Experience achieving top performance on specific problems through LLM/VLM post-training/fine-tuning

• Publication record in ML/NLP at international conferences (1st author or corresponding author)

Other Requirements:

• Understanding of Foundation Model development trends

• Preferred: Experience leading AI research or product development

• Preferred: Experience designing Agent Harness for data synthesis

• Preferred: Experience collecting, generating, and cleaning data for LLM/VLM

• Preferred: Top placement in domestic or international AI competitions (e.g., Kaggle)

Responsibilities:

• Develop post-training technologies across General, Science, Coding, Office Work, and Computer Use agents

• Build scalable agent environments and high-quality data filtering systems

• Apply cutting-edge training methods including RLHF, RLVR, and OPD

Experience Requirements:

• More than 5 years of experience in project/program management or relevant B2B marketing experience

Other Requirements:

• Native-level Japanese and business-level English proficiency

• Ability to communicate smoothly and collaborate with various stakeholders

• Ability to adapt to a rapidly changing technological environment

• Preferred: Experience in overall management and operation of educational programs

• Preferred: Direct/indirect experience with AI and cloud education programs

Responsibilities:

• Manage the overall education program of Upstage in Japan

• Perform tasks related to educational programs, such as planning, operating, and analyzing performance

• Identify areas for improvement and manage educational effectiveness via satisfaction survey analysis

• Define requirements for developing and operating an education platform with the development team

• Discover and manage a pool of talents such as instructors and mentors, and plan related events

Benefits:

• Competitive base salary plus bonus

• Unlimited PTO

• Medical, dental, and vision coverage (covers 75% of premiums)

• 401(k)

• Fully remote work environment

Experience Requirements:

• 3+ years across sales engineering, solutions consulting, sales development, or RevOps (ideally a hybrid)

• Experience selling into professional services, legal, or other regulated industries, or hands-on PLG/self-serve experience is a bonus

Other Requirements:

• Directly worked with AI products or pick them up fast

• Ability to build CRM machinery and run demos/discovery

Responsibilities:

• Act as first-call triage for every inbound corporate and legal lead

• Qualify and route leads by fit and firm size

• Close inbound corporate (non-legal) pipeline deals from start to finish

• Build and run the routing engine in HubSpot (lead scoring, PQL triggers, clean handoffs, reporting)

• Deliver demos and light solutions engineering

Benefits:

• Base salary of $100,000–$120,000, plus variable compensation tied to expansion and renewal targets

• Unlimited PTO

• Medical, dental, and vision coverage (covers 75% of premiums)

• 401(k)

• Fully remote work environment

Experience Requirements:

• 4+ years in account management, sales, or another quota-carrying revenue role in SaaS

• Experience expanding existing accounts, not just renewing them

• Background in higher education, edtech, or complex institutional/enterprise sales is a strong plus

• Track record of measurable expansion (net revenue retention, upsell attainment, etc.)

Other Requirements:

• Must be authorized to work in the United States

• Comfortable with multi-stakeholder buying processes

• Built a real workflow with AI into your account planning, research, outreach

Responsibilities:

• Build and run account plans that grow seat counts, add departments and colleges, introduce new products, and lock in multi-year renewals

• Build trust with Provosts, CIOs, and academic affairs VPs who can sponsor growth beyond the original buying group

• Take clean handoffs from Customer Success, read adoption data for expansion signals, and turn that intelligence into a proactive growth motion

• Find the departments and colleges inside your accounts that haven't adopted yet, and build internal champions

• Lead pricing and contract conversations for upsells, expansions, and renewals