Benefits:

• Competitive salary and stock options

• Empowerment to advance through engineering levels rather than management

• Flexible remote work environment

• Opportunity to work on impactful AI-driven products with a talented team

• Recognition for strong ownership and delivery

Experience Requirements:

• Active user of modern agentic engineering tools, such as Claude Code

• Solid experience with backend API development and RESTful/JSON-RPC design

• Comfortable with database architecture – knowing when to share and when to separate

• Familiarity with integrating external APIs (AWS, GCloud, general HTTP integrations)

• Exposure to AI/LLM integrations is a strong plus

Other Requirements:

• Collaborative by default – you document as you go, advocate for realistic timelines, and loop people in early

• You care about what you’re building, not just that it builds

Responsibilities:

• Building and maintaining backend APIs for new platform products and features

• Designing standalone systems with clean separation from legacy infrastructure

• Integrating third-party services – AI/LLM tools, video infrastructure, analytics platforms

• Supporting AI-powered features including LLM-based data processing and automated workflows

• Collaborating directly with product and UX – including jumping on user interviews to hear feedback firsthand

Benefits:

• OTE

• Equity

• Flexible work

• Competitive compensation & benefits

Experience Requirements:

• 6+ years of Enterprise SaaS sales experience with consistent quota attainment

• Proven track record of closing six-figure subscription deals

• Experience selling to Insights, CX, Product, or Innovation teams is preferred

Other Requirements:

• A natural hunter who thrives in outbound sales and is equally capable with inbound leads

• Familiarity with enterprise sales methodologies (Challenger, MEDDPIC, Sandler, etc.) is a plus

• Ability to work in a fast-paced, high-growth environment

Responsibilities:

• Prospecting, networking, and converting high-value enterprise deals

• Running discovery calls, managing sales cycles, and closing deals

• Engaging senior executives and decision-makers across Fortune 1000 companies

• Partnering with marketing on demand generation and converting high-quality leads

• Leveraging Salesforce and Gong to maintain accurate pipeline data and drive insights

Benefits:

• OTE

• Equity

• Flexible work

• Competitive compensation & benefits

Experience Requirements:

• 3–5 years of SaaS sales experience with consistent quota attainment

• Proven success in a full-cycle, quota-carrying AE role

• Experience selling to Insights, CX, or Innovation teams is an advantage

Other Requirements:

• Strong communication, presentation, and negotiation skills

• Ability to prospect effectively and manage a structured pipeline

• Familiarity with sales methodologies (Challenger, MEDDPIC, Sandler, etc.) is a plus

• Collaborative, curious, and motivated to grow into a senior role

Responsibilities:

• Prospect, qualify, and manage opportunities through the full sales cycle

• Build and close deals while supporting strategic enterprise opportunities

• Execute campaigns and convert high-quality inbound leads

• Deliver tailored demos, proposals, and ROI-driven conversations

• Work with senior sales peers and leadership to refine positioning and process

Benefits:

• Healthcare

• 401(k)

• Unlimited PTO

• Learning stipends

Experience Requirements:

• 2–4 years in implementation, technical onboarding, solutions consulting, or a similar customer-facing technical role

• Experience working with CRM systems (Salesforce preferred) and project management tools (ChurnZero preferred)

• Experience with CCaaS or VoIP softphone platforms preferred, but not required

Other Requirements:

• Strong technical troubleshooting and problem-solving skills

• Highly organized with the ability to manage multiple projects simultaneously

• Comfortable in a customer-facing role with strong communication skills

• Ability to explain technical concepts to audiences with varying levels of technical expertise

• Basic understanding of scripting or data formats (e.g., JSON) and APIs

• Ability to collaborate cross-functionally and manage dependencies effectively

Responsibilities:

• Lead and manage six to ten concurrent customer implementation projects from kickoff through go-live

• Own the technical integration of Balto with customer environments, including softphone/email/chat/SMS integrations, agent deployment, and validation of functionality

• Coordinate integrations such as Single Sign-On (SSO), CRM integrations, and call data exports as needed

• Serve as the technical expert on the Balto side during implementation, including hands-on troubleshooting and investigation

• Lead customer-facing implementation meetings, trainings, and technical discussions

Benefits:

• Healthcare

• 401(k)

• Unlimited PTO

• Learning stipends

Experience Requirements:

• 2-3 years in a technical support, support engineering, or technical escalation role

• Prior experience in a tier-2/tier-3 support or technical escalation role, ideally in a SaaS or contact-center technology environment

Other Requirements:

• Knowledge of networking, firewalls, and VPNs

• Knowledge of softphone or CCaaS integrations

• Knowledge of log/observability tooling (Datadog or equivalent)

• Basic code literacy (Python, JSON, HTML/CSS/JS) to understand integration behavior

• Experience with Salesforce Service Console or equivalent case-management tooling

• Demonstrated ownership of ambiguous, multi-stakeholder problems through to resolution

• Strong project-management ownership

• Support case triage experience

• Demonstrated experience using different AI tools and a general understanding of prompting

• Exceptional written and verbal communicator

• Critical thinker with the capacity to understand a complex technical problem

• Self-motivated, detail-attentive, and able to continuously learn

• Familiarity with CCaaS platforms

Responsibilities:

• Serve as the primary escalation point for the Support team's Technical Success Specialists (TSS) on cases that exceed T1/T2 complexity

• Investigate and diagnose complex technical issues: integration failures, connector/softphone problems, platform behavior that doesn't match documentation

• Own multi-part enterprise escalations end-to-end: track every open thread, assign next steps, keep the customer and internal stakeholders informed, and close the loop

• Filter and package what actually reaches Engineering

• Troubleshooting complex integration/softphone issues, and act as a technical consultant on networking, firewall, and connectivity questions

Benefits:

• Medical

• Dental

• Vision

• Matching 401k

• Flex time off

Education Requirements:

• Bachelor’s degree or equivalent experience

Experience Requirements:

• 5+ years of sales experience preferred

• Experience in the automotive industry is required

• Experience with presentation tools, Salesforce, and Outreach

• Existing in-market dealer relationships highly preferred

Other Requirements:

• Proven track record of sales success

• In-depth knowledge and experience of automotive industry and dealerships

• Complex problem solver

• Communicative and high energy

• Self-motivated and ambitious

Responsibilities:

• Uncover dealer pain points/sales opportunities

• Align Lotlinx’s solutions to the dealer’s business needs

• Build consensus on proposals and secure agreements

• Ensure dealer activation and smooth transition of the relationship to account management

• Build and work a sales pipeline

Benefits:

• Medical

• Dental

• Vision

• Matching 401k

• Flex time off

Education Requirements:

• Bachelor’s degree or equivalent experience

Experience Requirements:

• 5+ years of sales experience preferred

• Experience in the automotive industry is required

• Experience with presentation tools, Salesforce, and Outreach

• Existing in-market dealer relationships highly preferred

Other Requirements:

• Proven track record of sales success

• In-depth knowledge and experience of automotive industry and dealerships

• Complex problem solver

• Communicative and high energy

• Self-motivated and ambitious

Responsibilities:

• Uncover dealer pain points/sales opportunities

• Align Lotlinx’s solutions to the dealer’s business needs

• Build consensus on proposals and secure agreements

• Ensure dealer activation and smooth transition of the relationship to account management

• Build and work a sales pipeline

Benefits:

• Medical

• Dental

• Vision

• Matching 401k

• Flex time off

Education Requirements:

• Bachelor’s degree or equivalent experience

Experience Requirements:

• 5+ years of sales experience preferred

• Experience in the automotive industry is required

• Experience with presentation tools, Salesforce, and Outreach

• Existing in-market dealer relationships highly preferred

Other Requirements:

• Proven track record of sales success

• In-depth knowledge and experience of automotive industry and dealerships

• Complex problem solver

• Communicative and high energy

• Self-motivated and ambitious

Responsibilities:

• Uncover dealer pain points/sales opportunities

• Align Lotlinx’s solutions to the dealer’s business needs

• Build consensus on proposals and secure agreements

• Ensure dealer activation and smooth transition of the relationship to account management

• Build and work a sales pipeline

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.

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

Benefits:

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

• Support for work-related software, books, and educational materials

Experience Requirements:

• Solid understanding of at least one programming language (TypeScript, Python, etc.) and web service development

• Experience taking ownership of identifying and solving problems to completion

Other Requirements:

• Ability to actively utilize AI tools to improve development efficiency by 10x

• Preferred: Experience developing and deploying Full-stack services based on Next.js

• Preferred: Experience working on AI/ML or RAG projects

• Preferred: Experience with data visualization libraries

• Preferred: English communication ability for global team collaboration

Responsibilities:

• Advance AI service UI/UX: Design and implement new features and improve AI touchpoints

• Data-driven feature development: Build monitoring dashboards and data visualization tools

• Cross-functional collaboration with model research and US teams

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:

• 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:

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

• Support for software, books, and educational materials

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:

• Contribute to post-training research across General, Science, Coding, Office Work, and Computer Use agents

• Work on reinforcement learning for LLM (math, code, general reasoning, tool use)

• Assist in developing scalable agentic tool use data synthesis pipelines and reward models

Benefits:

• Monthly retainer of $5,000/month

• Advisory equity (0.10% on a fully diluted basis, vesting over four years with a one-year cliff)

• Room to build your own practice keeping 100% of your own fees

• Expense reimbursement for reasonable, pre-approved costs

• Path to a full operating role as practice grows

Experience Requirements:

• A practicing or former litigator, ideally plaintiff/trial side (mass tort, personal injury, product liability, or complex commercial)

• Deep in real trial-prep workflows

• Experience on an advisory board or as a design partner elsewhere is a bonus

Other Requirements:

• Curious about AI, treating it to augment judgment rather than replace it

• Natural teacher and communicator

Responsibilities:

• Partner with a small cohort of trial firms to run real workflows and capture what actually works

• Turn litigation practice into clear product direction

• Help firms encode their own expertise and judgment into the platform

• Build and steer the Lawyer Advisory Board

• Co-create case studies and represent BoodleBox to the trial bar

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