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NinjaTech AI

Autonomous AI personal assistant for professionals

Marketing Manager

Full-TimeUpdated on 10/23/2026
No salary listed
Senior
San Francisco, CA, USA+1 moreMore locations: Mountain View, CA, USA
In Person
Growth & MarketingMarketing Generalist & Management

About the job

Requirements
  • At least 5 years of marketing experience, with meaningful experience as a generalist or early/founding marketer at a startup; candidates should have performed the work themselves rather than only managing others.
  • B2B and enterprise experience, ideally in SaaS, developer tools, infrastructure, or AI, with an understanding of long sales cycles, technical buyers, and enterprise procurement.
  • Strong writing ability to translate complex technical concepts into clear messaging.
  • Hands-on experience across paid campaigns, content writing, press pitching, social media, and website optimization.
  • Ability to work independently in an ambiguous environment without an established playbook or team.
  • Ability to use data and evidence to make decisions and measure results.
  • Technical curiosity and ability to learn about agentic AI, integrations, deployment models, and enterprise security.
  • Ability to collaborate with founders, engineers, and sales and build trust.
  • Experience marketing to enterprise IT, security, or AI buyers.
  • Prior experience as a first or founding marketing hire.
  • Familiarity with the agentic AI and large language model landscape.
  • Experience with account-based marketing programs and enterprise demand generation.
  • Design skills using Figma or Canva, or experience managing designers.
  • Experience working in a two-continent or distributed team.
Responsibilities
  • Refine the company narrative, ideal customer profile, buyer personas, and category positioning.
  • Own the company's core messaging architecture and maintain consistency across the website, decks, demos, ads, and sales conversations.
  • Translate technical product capabilities into compelling stories for enterprise buyers, including technology, AI, security, and procurement leaders.
  • Build and maintain brand guidelines covering voice, tone, visual identity, and editorial standards.
  • Manage brand reputation and crisis or issues communications.
  • Lead go-to-market strategy for product launches and feature releases, from positioning through launch day.
  • Write launch briefs, FAQs, internal announcements, and enablement documents.
  • Own product, solution, and use-case pages on the website.
  • Manage paid acquisition across Google Ads (Search, Display, Performance Max) and other paid channels.
  • Manage budgets, bids, and creative, optimizing for qualified pipeline.
  • Build and optimize landing pages and conversion paths.
  • Own technical, on-page, and content-led search engine optimization strategy and execution.
  • Run email and lifecycle marketing, including nurture sequences, newsletters, and lead scoring.
  • Build and run the content engine for blog posts, whitepapers, case studies, ebooks, one-pagers, and technical explainers.
  • Produce content for all funnel stages, from top-of-funnel awareness to bottom-of-funnel sales enablement.
  • Develop founders' and engineers' expertise into published thought leadership.
  • Own the editorial calendar and maintain a steady cadence across channels.
  • Own public relations strategy and media relations, building relationships with journalists covering enterprise AI and agentic AI.
  • Write and pitch press releases, media pitches, and bylined articles.
  • Manage awards, analyst briefings, and industry recognition.
  • Handle inbound press inquiries and coordinate executive interviews and speaking engagements.
  • Own social channels, including LinkedIn, X/Twitter, and YouTube, covering strategy, calendar, and daily execution.
  • Build an executive social presence for the founders and leadership.
  • Grow and engage the community of enterprise AI practitioners and developers.
  • Monitor social conversations, engage authentically, and manage online reputation.
  • Own website conversion optimization by testing and improving landing pages, messaging, calls to action, user journeys, and other conversion points to increase qualified leads and pipeline.
  • Work with internal or contract design and engineering resources to keep the website fast, current, and on-brand.
  • Manage the marketing technology stack, including the content management system, analytics, marketing automation, customer relationship management integration, and attribution.
  • Build sales collateral, including pitch decks, one-pagers, case studies, return-on-investment models, and competitive battlecards.
  • Partner with sales on repeatable sales plays and messaging for enterprise deals.
  • Support account-based marketing efforts targeting enterprise accounts.
  • Prepare materials to support security reviews, requests for proposals, and procurement conversations.
  • Own the company's presence at conferences, trade shows, and industry events, including booth strategy and speaking slots.
  • Plan and run webinars, roundtables, and executive dinners.
  • Manage event logistics, budgets, and pipeline follow-up.
  • Identify and pursue strategic speaking opportunities for the CEO at relevant industry conferences, panels, summits, and other high-value events.
  • Identify and execute co-marketing opportunities with technology, integrator, and channel partners.
  • Manage joint campaigns, webinars, and partner content.
  • Support partner enablement with co-branded materials.
  • Define relevant marketing key performance indicators and report them regularly to leadership.
  • Own marketing analytics and attribution to identify what drives pipeline and revenue.
  • Manage the marketing budget and allocate spending for maximum return.
  • Build repeatable processes to support scaling the marketing function as the company adds people.

About the company

N

NinjaTech AI

View
Website

NinjaTech AI builds an autonomous AI personal assistant called Ninja that handles research, writing, file analysis, coding, image generation, and meeting scheduling for busy professionals. Ninja takes conversations in chat, voice, or video with a customizable avatar and uses its own large language models plus a proprietary decision engine to plan and execute tasks end-to-end, turning requests into completed work within a SaaS platform. It stands apart by delivering full task execution rather than just suggestions, integrating planning, action, and communication in one system, supported by a team with backgrounds at Google, Meta, and AWS. Its goal is to democratize access to executive‑level assistance, helping more professionals save time and focus on their core responsibilities.

Company Size

11-50

Company Stage

Seed

Total Funding

$5M

Headquarters

Los Altos, California

Founded

2022

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Simplify Jobs

Simplify's Take

What believers are saying

  • Infosys invested August 4, 2026, opening large-enterprise distribution and delivery channels.
  • September 2026 pricing promises about 10x lower costs than frontier-model deployments.
  • Microsoft, AWS, and Fireworks AI partnerships reduce infrastructure friction for enterprise adoption.

What critics are saying

  • September 2026 launch still lacks public customer logos, revenue, or usage disclosures.
  • Open-weight dependence on DeepSeek V4.1 Flash invites model-quality and supplier-switching risk.
  • One-year Infosys exclusivity and 1–50 employees constrain delivery if enterprise demand spikes.

What makes NinjaTech AI unique

  • SuperNinja Enterprise, launched September 28, 2026, bundles software, GPUs, and inference.
  • NinjaTech runs inside customer clouds, keeping data and IP inside enterprise boundaries.
  • Babak Pahlavan’s Google-acquired CleverSense pedigree and 2026 Infosys partnership sharpen enterprise credibility.

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Benefits

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Company Equity
  • Performance Bonus

Growth & Insights and Company News

6 month growth

-9%

1 year growth

-6%

2 year growth

0%
TechDay
Oct 12th, 2026
NinjaTech launches fixed-price AI platform for enterprises.

NinjaTech launches fixed-price AI platform for enterprises. Tue, 13th Oct 2026 (Today) NinjaTech AI has launched SuperNinja Enterprise, an AI workforce platform that companies can run in their own cloud environments. It is sold at a fixed annual price that includes computing capacity. The Palo Alto-based company says the platform lets businesses deploy AI agents inside their own cloud or data centre rather than relying on an external service. It uses open-weight models and also supports models from Anthropic and OpenAI. SuperNinja Enterprise combines software, model-serving infrastructure and GPU-backed inference capacity under one contract. Customers can deploy the system on single-tenant capacity through Microsoft with Fireworks AI or AWS, while organisations with stricter security requirements can choose a licensed deployment in an air-gapped environment using their own hardware. The launch comes as companies look to move beyond small AI trials while keeping tighter control over spending and data handling. Usage-based pricing has made it difficult for many businesses to forecast costs as AI agents take on longer-running tasks and consume more computing resources than simple chatbot interactions. Cost model NinjaTech says organisations running open-weight models on reserved capacity can reduce end-to-end costs to about one-tenth of comparable deployments based on frontier lab models. The company is positioning the offer as an alternative to per-token billing, with annual pricing designed to stay stable as usage rises. That pricing model addresses a central concern for large companies testing AI tools at scale. Businesses often have to secure GPU capacity, deploy model-serving systems and source applications through separate suppliers, adding cost uncertainty and procurement complexity. Packages are sized for 100, 500 or 1,000 AI employees. The platform also integrates with Slack and Microsoft Teams, allowing workers to use the system through tools already common in the workplace. Data control NinjaTech is also emphasising data residency and separation. Enterprise data stays within the customer's own environment and is not pooled to train external models, a point likely to matter in sectors handling regulated or commercially sensitive information. "With SuperNinja Enterprise, your CISO can rest assured data never goes outside your own walls," said Babak Pahlavan, Chief Executive Officer of NinjaTech AI. "Your CFO gets an AI bill that doesn't move. And everyone sleeps well, knowing you can scale AI without waking up to skyrocketing costs." For the first time, NinjaTech is supplying the GPU and inference capacity for the platform rather than leaving customers to assemble those components themselves. In practice, that means buyers get the AI software and the underlying computing arrangement under one commercial agreement. Partners involved Healthcare customers will work with Optimum HealthcareIT for integration, while other enterprise customers will work with Infosys. Infosys is also described by NinjaTech as an investor and implementation partner. The product keeps model choice open, allowing customers to move workflows between open-weight systems and proprietary models. That approach reflects a broader enterprise effort to avoid dependence on a single model provider as pricing, performance and policy terms continue to shift across the AI market. NinjaTech says many enterprise AI projects remain stuck at the pilot stage because finance teams struggle to predict usage-based charges and security teams resist sending sensitive workloads to outside providers. It argues that placing the system inside a customer-controlled environment with fixed annual pricing removes both barriers. "Most vendors keep AI on a usage meter," said Pahlavan. "We give enterprises predictable capacity and costs, so adoption can spread across the organisation instead of stopping at a pilot."

The Information
Sep 28th, 2026
NinjaTech AI launches tool to help companies forecast AI agent operating costs

NinjaTech AI, an early-stage startup backed by Amazon and led by a former Google product management executive, has unveiled a new product designed to help large companies forecast the costs of running agents continuously for long-running tasks. The tool aims to eliminate uncertainty in budgeting for agent operations that run around the clock. The startup's solution addresses growing concerns about the unpredictable expenses associated with deploying AI agents at scale. By providing more accurate cost projections, NinjaTech AI seeks to help enterprises better plan their AI infrastructure investments and avoid unexpected bills from agent deployments.

AiThority
Sep 28th, 2026
NinjaTech AI launches SuperNinja Enterprise, a Turnkey AI workforce platform enterprises own and run Unmetered on open-weight model.

NinjaTech AI launches SuperNinja Enterprise, a Turnkey AI workforce platform enterprises own and run Unmetered on open-weight model. Built to end runaway per-token AI costs, the platform deploys into the customer's own cloud and data centers, so data never leaves their control. Sep 28, 2026 Prev Next 1 of 43,225 NinjaTech AI launched SuperNinja Enterprise, an AI workforce platform that puts AI employees to work around the clock inside the customer's own cloud, on a fixed annual bill, with the computing capacity delivered under the same contract. It runs open-weight models and keeps enterprise data inside the customer's boundary. For the first time, NinjaTech AI is also supplying the GPU and inference capacity the platform runs on. Customers get one product that combines the AI software, model-serving infrastructure and compute, rather than assembling those pieces from separate vendors. "With SuperNinja Enterprise, your CISO can rest assured data never goes outside your own walls," said Babak Pahlavan, CEO of NinjaTech AI. "Your CFO gets an AI bill that doesn't move. And everyone sleeps well, knowing you can scale AI without waking up to skyrocketing costs." What Sets SuperNinja Enterprise Apart * Lower cost than frontier models: Total cost is about 10x lower, running open-weight models. * Turnkey capacity: GPUs, inference and software in one contract, with no infrastructure vendor to assemble first. * Unmetered open-weight compute: AI reaches every employee, not stopping at a rationed pilot. * AI workforce that enterprises own: AI employee production and outputs remain in the enterprise's own tenant. * Enterprise data is not pooled: It never trains any outside models. * Fixed annual pricing: Consistent annual pricing that holds as usage increases. * 24/7: AI employees that take a goal and finish the work, running unattended around the clock. * Swappable models: The freedom of never being locked into one AI lab. * Works in the tools enterprises use: Integration into Slack and Microsoft Teams. * Expandable on-demand: Packages sized for 100, 500 or 1,000 AI employees. Cost and Data Concerns Limit Enterprise AI Adoption Many enterprise AI initiatives stall for two reasons. Teams cannot forecast usage-based pricing, and they can't hand their most sensitive work to an outside AI service. A fixed annual bill inside the customer's own environment answers both. AI agents have advanced enough to handle long, unattended jobs, but that means they now burn far more tokens than a chat interface ever did. But while token prices are generally falling, enterprise AI bills keep climbing. That has kept most enterprise AI deployments stuck in the pilot stage instead of scaling across organizations to drive stronger results. Model choice stays open. The platform supports Anthropic and OpenAI alongside open-weight alternatives, so customers can move a workflow to the best model for the job without committing to a single AI lab. Single-Contract Deployment Model Deploying enterprise AI today usually means securing GPU capacity, standing up model-serving infrastructure and deploying applications across separate vendors and contracts. The offering combines all three into one. NinjaTech AI delivers GPU and inference capacity through Microsoft with Fireworks AI or AWS, on single-tenant capacity reserved for the customer. Neither side buys hardware. Organizations that run open-weight models on that reserved capacity see end-to-end costs about 10 times lower than comparable deployments on frontier lab models. Customers whose most sensitive work cannot touch an external network can instead choose a licensed deployment inside their own air-gapped environment, where they supply the hardware. NinjaTech delivers the dedicated capacity above end-to-end. Platform and implementation arrive in one contract at one price. Healthcare customers work with NinjaTech AI integration specialist Optimum HealthcareIT, and other enterprises work with Infosys. SuperNinja Enterprise is available now. Enterprises can start with a fixed-scope pilot that puts AI employees on real work in days, then expand into an annual capacity contract. "Most vendors keep AI on a usage meter," Pahlavan said. "We give enterprises predictable capacity and costs, so adoption can spread across the organization instead of stopping at a pilot."

NinjaTech AI
Aug 4th, 2026
Infosys and NinjaTech AI-Building the Enterprise AI Workforce, Together.

Infosys and NinjaTech AI-Building the Enterprise AI Workforce, Together. By The Ninja AI Team August 4, 2026 The Infosys Innovation Fund has made a strategic investment in NinjaTech AI, and the two companies are partnering to bring an enterprise-grade AI workforce to large, complex organizations. The belief behind it is simple: AI should amplify human potential, and enterprises should get that power on their own terms. Why Infosys invested. NinjaTech has built an autonomous, self-evolving AI workforce that works alongside every employee, inside the enterprise's own environment, and is measured by business outcomes rather than demos. It answers the three questions that decide enterprise AI: how to deploy without handing over your data, how to pay without a bill that balloons with every user, and how to reach every employee rather than one team. The four capabilities below are how. 24/7, self-evolving AI employees. NinjaTech's AI employees run complex, multi-step work from start to finish, around the clock, and get better on their own from the work they do. Because most enterprise value is locked in long processes that cross teams, an AI employee that owns a whole process keeps compounding in value instead of leveling off, and capacity grows with demand rather than headcount. Deployed in your own cloud. NinjaTech runs inside the customer's own cloud accounts on AWS, Microsoft Azure, or Google Cloud, on infrastructure the customer owns and controls. For regulated industries, and any company that treats its data as a strategic asset, that keeps data, access, and governance inside the compliance boundary the company already trusts, and sensitive information never leaves the perimeter. Your models, or unlimited usage. NinjaTech works with the best frontier models, including those from OpenAI and Anthropic, and can also run unmetered on open-weight models such as Moonshot AI's Kimi K3 on the customer's own GPUs. The highest-value work can use the strongest proprietary models, while high-volume work runs on owned hardware with no per-seat or per-token metering. That turns an unpredictable, usage-based bill into a fixed cost, which is what makes it realistic to give AI to an entire workforce. Human + AI, in the flow of work. From Slack and Microsoft Teams, any employee can bring in as many AI teammates as they need, hand off work, and stay in the loop. By meeting people inside the tools they already use, NinjaTech turns the AI workforce into something they reach for by default, so it reaches the whole organization instead of a single pilot team. What Infosys and NinjaTech are building together. Infosys and NinjaTech are partnering to accelerate enterprise adoption of the AI workforce across both sales and delivery, and Infosys will be the exclusive professional services partner for NinjaTech AI for at least one year. Infosys brings trusted relationships with the world's largest enterprises, deep industry expertise, and the scale to deliver responsibly; NinjaTech brings the product. Together NinjaTech AI, Inc. can meet a large enterprise where it is, design the workforce around its real processes, and stand it up quickly and securely, with a single accountable partnership from strategy through to production. The opportunity ahead. Every major enterprise wants to put AI to work safely, affordably, and at scale, and few offerings deliver all three at once. NinjaTech's technology with Infosys's reach and delivery is built for exactly that gap. NinjaTech AI, Inc. is proud to have the Infosys Innovation Fund as an investor and Infosys as its services partner, and NinjaTech AI, Inc. is just getting started. A workforce, not a tool. A platform for AI employees that work around the clock, self-evolve to your business, finishing real work end to end from Slack, Teams, and WhatsApp...

Los Altos Town Crier
Aug 26th, 2025
Los Altos-based AI company launches new program

NinjaTech AI Inc. in July launched SuperNinja, which operates on a computer in the same way human workers do, according to the company's vice president of product, Divya Chirasani.