Wand AI

Recruitment

• Lead end-to-end hiring for technical roles
• Drive proactive sourcing using advanced Boolean search, LinkedIn, GitHub, and niche tech communities
• Conduct structured screening interviews (soft skills + basic tech understanding)
• Partner with hiring managers to define role requirements, timelines, and evaluation criteria
• Prepare candidate briefs, evaluations, and recommendations after interviews
• Own the communication flow: scheduling, follow-ups, feedback, offers
• Align hiring processes with EST time zone and ensure fast turnaround

Recruiter

Technical Recruiter

• Lead end-to-end hiring for technical roles.
• Drive proactive sourcing using advanced Boolean search, LinkedIn, GitHub, and niche tech communities.
• Conduct structured screening interviews (soft skills + basic tech understanding).
• Partner with hiring managers to define role requirements, timelines, and evaluation criteria.
• Own the communication flow: scheduling, follow-ups, feedback, offers.

IT Recruiter

Chief Marketing Officer

• Develop and own the global marketing strategy across brand, growth, product marketing, and communications.
• Build and lead a high-performing marketing team; establish processes, KPIs, and reporting frameworks.
• Drive the full marketing funnel: awareness, acquisition, activation, engagement, and retention.
• Create and execute scalable demand-generation campaigns across paid, organic, and partner channels.
• Oversee product marketing: value proposition, messaging, positioning, competitive analysis, and GTM strategy.
• Lead content strategy across formats: website, blog, social media, email, product content, case studies.
• Build a strong brand identity and ensure consistency across all touchpoints.
• Develop and manage marketing budgets, forecasting, and performance metrics.
• Execute SEO/SEM strategies to increase visibility, organic reach, and qualified traffic.
• Manage PR, media relations, external communications, and strategic partnerships.
• Analyze marketing performance, generate insights, and refine strategy based on data.
• Collaborate with Sales, Product, and Leadership on joint initiatives and cross-functional alignment.
• Lead community-building initiatives, user education programs, and event participation.

Head of Marketing

Artificial Intelligence

• Develop and execute a comprehensive global sales strategy focused on enterprise and mid-market segments.
• Build, lead, and mentor a world-class sales organization with a focus on performance, accountability, and execution excellence.
• Establish robust sales processes, forecasting models, and performance metrics to ensure predictable growth.
• Drive customer acquisition and expansion across priority regions through both direct and partnership channels.
• Collaborate cross-functionally with Product, Marketing, and Engineering to ensure alignment between customer needs and product development.
• Lead negotiations of complex, multi-stakeholder deals with enterprise clients and strategic partners.
• Define sales enablement frameworks and go-to-market materials to accelerate deal velocity.
• Analyze pipeline performance and market dynamics to identify opportunities for optimization and scale.
• Represent Wand at global conferences, events, and executive-level discussions to strengthen brand presence.

Head of Sales

Engineering Manager

• Lead a cross-functional team of software engineers, ensuring clarity in goals, timelines, and ownership.
• Mentor engineers through code reviews, career growth plans, and performance feedback.
• Own delivery — ensuring projects are shipped on time with high quality and measurable impact.
• Establish and refine team processes for sprint planning, documentation, and release cycles.
• Partner with recruiting to attract and onboard top engineering talent.
• Contribute to company-wide initiatives for improving developer experience, testing, and reliability.
• Maintain source-of-truth plans (roadmaps, milestones, burn-down, critical paths), enforce SLAs, and run tight daily standups with crisp blockers and next steps.
• Proactively track every task to closure; escalate risks before they become delays; coordinate recovery plans and surge capacity when needed.
• Ensure engineering is consistently available to Product, Sales, Customer Success, and Leadership; triage inbound requests with clear priorities and ETAs.
• Lead retrospectives with action items, tighten feedback loops, and remove systemic blockers to ship faster with fewer defects.

Sales Engineer

• Lead technical pre-sales engagements — partner with Sales and Product to architect high-impact solutions that align with client goals, data realities, and Wand’s differentiators.
• Design and deliver lightweight, believable prototypes that prove Wand’s unique capabilities — from legal document parsing to agentic workflow automation.
• Own the “Proof-to-Contract” motion — help clients define what must be proven technically (accuracy, scalability, adaptability) to justify commercial commitment.
• Act as a consultative discovery partner — uncover what customers really need, not just what they ask for, and reframe “fishing expedition” demos into contract-worthy hypotheses.
• Build reusable demo systems and technical frameworks that make it faster for the next SE to spin up an environment, run a workflow, or connect a customer dataset.
• Contribute Python scripts, API workflows, and reference architectures that showcase best practices for integrating Wand into client ecosystems.
• Mentor and scale a small, high-performing team of Sales Engineers — establishing standards for demo quality, engagement discipline, and technical storytelling.
• Collaborate cross-functionally with Product and Engineering to channel field feedback into roadmap priorities and product enablement.
• Develop and document playbooks — from demo readiness and proof scoping to customer engineering rituals — building the foundation for a repeatable SE function.
• Represent Wand externally — lead workshops, client sessions, and conference demos that position Wand as the most capable, credible applied AI partner in the market.

• Lead technical pre-sales engagements
• Partner with Sales and Product to architect high-impact solutions
• Design and deliver lightweight, believable prototypes
• Own the “Proof-to-Contract” motion
• Act as a consultative discovery partner
• Build reusable demo systems and technical frameworks
• Contribute Python scripts, API workflows, and reference architectures
• Mentor and scale a small, high-performing team of Sales Engineers
• Collaborate cross-functionally with Product and Engineering
• Develop and document playbooks
• Represent Wand externally

Sales Engineering Manager

Founding Sales Engineering Manager

QA Engineer

• Develop and maintain comprehensive test strategies across backend services, APIs, and data pipelines.
• Build, maintain, and improve test automation frameworks (integration, regression, E2E, performance).
• Perform manual testing to validate new features, edge cases, and user scenarios.
• Identify, isolate, and document bugs thoroughly—work closely with engineers to resolve them.
• Collaborate with developers during planning and design to establish clear acceptance criteria and test coverage.
• Define quality metrics and implement monitoring to track and improve software reliability over time.
• Ensure cross-environment stability (dev/staging/prod) and proactively identify regressions or side effects.
• Participate in release and deployment processes to ensure only well-tested code goes live.
• Advocate for a quality-first culture and mentor other engineers on testing best practices.

AI Research Scientist

• Wand AI’s mission is to drive a generational leap for the global economy by integrating agent ecosystems into the core of work, business, and society.
• Join AI’s brightest minds and work with top talent from DeepMind, Microsoft Research, Google Brain, Amazon, Nvidia, IBM, Jasper, and Hubspot.
• Focused on outcomes; elite global team; high ownership, and aggressive timelines to shape the future.
• Responsibilities: Design, build, and ship end-to-end AI prototypes and features with a high sense of urgency.
• Own the entire development lifecycle: from understanding a vague problem statement to producing clean, scalable, production-level code.
• Rapidly survey, select, and implement state-of-the-art models and techniques to solve immediate business problems.
• Work independently to architect and build robust systems, making pragmatic trade-offs between perfection and speed.
• Quickly ramp up on new domains, frameworks, and technologies as needed to get the job done.
• Focus on tangible outcomes and delivering working features to customers; reports and papers are a by-product, not the goal.

AI Researcher

Backend Engineer

• Develop and maintain backend services supporting AI features and business logic
• Collaborate closely with AI researchers, product managers, and frontend engineers
• Implement clean, maintainable, and testable code
• Optimize APIs and data processing pipelines for performance and scalability
• Participate in code reviews, design discussions, and team meetings
• Stay up to date with industry best practices in backend and AI integration

AI-focused Backend Engineer

Full-stack Engineer

• Design, build, and maintain scalable data pipelines and systems that support agentic applications.
• Develop backend services and APIs that handle data ingestion, transformation, and access.
• Work closely with the Data Engineering lead to define architecture and technical direction.
• Integrate structured and unstructured data sources into agent workflows.
• Ensure high performance and reliability of data systems in production environments.
• Collaborate with AI researchers and product teams to deliver intelligent, data-driven features.
• Contribute to best practices in data governance, quality, and security.

Data Experience Software Engineer @ Wand Synthesis AI Inc.

Product Designer

• Conduct in-depth user research through interviews, surveys, usability testing, and data analysis.
• Map and analyze end-to-end user journeys to identify friction points and opportunities.
• Zoom into critical interaction points such as how a user completes a single action or interprets a single screen and refine usability at the micro level for maximum clarity and efficiency.
• Create user personas, journey maps, user flows, wireframes, and prototypes to communicate design intent.
• Collaborate closely with product managers, designers, and developers to translate insights into product improvements.
• Advocate for UX best practices and user-centered design across the organization.
• Ensure consistency and accessibility across all digital touchpoints.
• Continuously test, measure, and refine design solutions based on user feedback and data.