Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: We are trusted by over 500 million active users every month across 190+ countries We identify over 15 billion calls daily, helping users avoid spam and scams We are powered by a team of 400+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. As an Engineering Manager, Data, you will lead a multidisciplinary team of ML engineers, data scientists, and data engineers driving some of Truecaller's most strategic initiatives. Your team will be responsible for advancing the trust graph, compounding intelligence, communication experiences, fraud detection, federated learning, calling, search, and the AI Assistant, technologies that sit at the core of Truecaller's strategy. This role combines deep technical leadership with people management: you will define the technical direction across an applied ML stack, foster the growth and well-being of a highly specialized team, and transform a research-driven roadmap into reliable, production-ready systems. What you'll do: Lead, grow, and retain a high-performing team of ML engineers, data scientists, and data engineers, investing deliberately in each person's development and career path. Set technical direction for the core intelligence behind Truecaller’s calling and search intelligence, along with the real-time serving and data platforms that support them. Own team planning, prioritization, and delivery, balancing near-term product commitments against long-term platfo
Jobiba hiring network
Lead Assistant Controller Manager Jobs
6,753 active opportunities · Updated for October 2026
Fresh results
15 shown
Explore current lead assistant controller manager jobs. Use filters to narrow by work mode, employment type, experience and date posted.
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . This role sits at the intersection of advertiser experience and ad creative, owning the tools and workflows that help advertisers create, manage, and optimize the right ad for the right Pinner at scale. You’ll shape how creative assets are uploaded, organized, and activated across campaigns, including new AI‑powered and automated solutions. Your work will directly impact how efficiently advertisers of all sizes can create on‑brand, high‑performing campaigns, and will be a key driver of Pinterest Ads revenue growth. What you’ll do: Lead end-to-end design for Merchant AI Assistant experiences across Pinterest Business Assistant workflows, including onboarding, catalog health, and Catalog Enhance. Define cohesive patterns that connect conversational AI with contextual product experiences, helping merchants understand priorities and complete
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . About the role: We’re looking for a Principal Engineer to set the technical vision and lead foundational work across Homefeed, Search, and our emerging AI Assistant experiences at Pinterest. This role sits at the intersection of relevance, ranking, retrieval, and generative AI, and will shape how hundreds of millions of Pinners discover and act on inspiration every day. You will operate as a cross-cutting technical leader: defining long-term architecture, raising the bar on ML and systems excellence, and partnering closely with product and executive leadership to drive step‑function improvements in engagement, quality, and creator value. What you’ll do: Define the long-term technical strategy and architecture for Homefeed, Search, and AI Assistant, including retrieval, ranking, personalization, and generative experiences. Drive a multi‑year road
At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Vanta's Corporate Engineering team is the infrastructure layer that keeps 1,500+ people connected, secure, and moving fast. AI is now central to how that happens, and this role leads the team that owns the backbone underneath it. Corporate Engineering owns the shared AI platform for Vanta's internal systems: identity and access for AI tools, cost visibility and controls, sanctioned tooling and guardrails, and the enablement that helps people use those tools well. We do not own product AI, which stays with Engineering, and we do not replace the AI work happening inside individual departments. We build the engineering layer that makes all of it safer, cheaper, and better supported. The company has moved fast. AI assistant use is widespread across every function, MCP infrastructure is live and self-serve company-wide, internal apps ship on a hosted platform, and AI spend has grown to the point where attribution and guardrails genuinely matter. What does not exist yet is a single owner for that platform layer. That is this role. As Sr. Manager, AI Engineering, you will lead a small, senior team, write the charter for what Corporate Engineering owns versus enables, and build the platform that lets the rest of Vanta adopt AI quickly without accumulating cost, risk, or duplication. What you’ll do as a Senior Manager, AI Corporate Engineering at Vanta: Lead, coach, and grow a senior team spanning platform engineering and technical program management. Set clear direction, hold a high bar, and give the team explicit permission to push back with data. Own the AI access layer end to end: identity and authentication for AI tools, connector
Role Overview & Executive Impact Serving as the West Coast anchor for MongoDB's Global VIP Support, this position acts as the “single-threaded DRI” for the technology needs of M3 — the CEO's direct reports — in the US Pacific time zone. You hold end-to-end accountability for their digital journey, from two weeks before Day 1 through daily operations, high-stakes events, global travel, and eventual offboarding, ensuring a seamless experience without handoff friction. The population you support is intentionally scoped and governed by HR and the Office of the CEO, not by IT — this is Phase 1 of a model designed to extend, tier by tier, to SVP+, then VP+, and ultimately the full Senior Leadership Team. The standards, runbooks, and judgment you establish now become the template each later phase reuses. This role prioritizes proactive engagement over traditional ticketing. By monitoring system health and resolving issues before they impact the executive, you act as a protective barrier for critical workflows. You combine high-level IT proficiency with AV expertise to lead high-stakes events and Board meetings, while also empowering the Executive Assistant community through specialized technical training. The way of working behind this role is built on a simple framework: routine diagnostics, health checks, and reporting are handled through automation and intelligent tooling wherever possible, freeing your time for the judgment calls, relationship-building, and in-person moments that actually require a human. Because this framework depends on staying ahead of what's possible, you are expected to stay current on emerging technology and AI trends and proactively evaluate how they can improve the executive support experience. Innovation through AI and automation is fundamental to this model. You will implement intelligent solutions to handle routine diagnostics and triage, eliminating manual toil so that human intervention is reserved for high-impact moments. These automa
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma's platform helps teams bring ideas to life — and Data Science is central to how we measure, improve, and scale it. We're on a mission to make data self-serve for every Figmate: moving from a world where every data question requires filing a request to a DS or DE, to one where anyone can ask a question in plain language and get a trustworthy answer in minutes. We're hiring Figma's first dedicated Technical Program Manager for Data Science to own that mission — driving our multi-phase Self-Serve Analytics program from semantic layer expansion through the Figma Data Assistant, while building the operational foundation for a growing DS org. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Own end-to-end program delivery for Figma's Self-Serve Analytics initiative that includes semantic layer expansion, Slack bot launch, automated eval framework, and the Figma Data Assistant Coordinate delivery across Data Engineering, DS ICs, Security, IT, and business stakeholders (Sales, Product, Finance, Research) to expand self-serve data coverage and drive adoption Lead the governance and security work stream: work with Security and IT on LLM data access policies, PII guardrails, access controls, and LLM provider approvals Drive adoption and change management — build champion networks, run training programs, and meet Figmates where they work (Slack, Notion) to shift from request-based to self-serve data culture Build and maintain
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role Search is being rebuilt in real time. Millions of people now start with a question to ChatGPT, Claude, Gemini, or Perplexity, and the answer they get decides which products they try. When someone asks how to build an app, a website, or a tool for their business, Replit needs to be the answer. We're hiring an AEO/GEO/SEO Lead to own how Replit gets discovered, across AI-generated answers and traditional search. This is a zero-to-one role. You'll define the strategy, then execute it yourself with AI-leveraged production, agency partners, and cross-functional teams behind you. You'll work daily with our Web, Growth, Brand, Content, Product, Engineering, and Analytics teams. The fastest-growing AI-native companies have already turned AI answers into a primary acquisition channel. Your mandate is to do the same for Replit: grow AI referral traffic into one of our largest sources of new builders, keep our traditional search presence compounding, and make Replit the platform AI assistants recommend when anyone wants to build software. Replit moves fast. We ship continuously, experiment relentlessly, and aim to make every builder more productive and creative. We're looking for someone who thrives in that environment: part strategist, part operator, part scientist of a channel that changes every month. What You'll Do Own the AEO/GEO Strategy Define where Replit must show up across ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews, for which prompts and buyer intents, and build the playbook to win those answers. Set targets, sequence the roadmap, and defend the strategy with data. Win Citations Across the Open Web LLMs cite what they trust: Reddit threads, YouTube videos, high-authority publications, co
About the team Preparedness is a critical Safety Research team at OpenAI, which is focused on mitigating AI threats to global security that could scale to an extreme level of severity. Our work involves: Measurement. Monitoring and predicting the evolving capabilities of frontier AI systems. Mitigation. Keeping misuse safeguards, alignment tools, and security measures on track to adequately address extreme threats that might arise in the future. Coordination. Setting mitigation targets by maintaining OpenAI’s preparedness framework , and partnering with other staff to achieve these targets. This is urgent, fast-paced work that has far-reaching implications for the company and for society. About the role The stakes of securing OpenAI increases as our internal coding and research becomes increasingly driven by autonomous AI agents. Compromising these agents could allow a cyber threat actor to compromise many other parts of the company. In this role, you would lead Preparedness work defending the security of our internal AI agents against insiders, Advanced Persistent Threats (APTs), or powerful AI agents. We’re looking for a strong hands-on technical executor with experience working directly with advanced cyber threat actors. In this role, you will: Develop and maintain threat models via which advanced attackers could compromise our coding assistants and automated security systems. Identify security investments that are especially critical to make in advance; for example, prioritizing by implementation lead-times, costs, and benefit. Partner with Security, Infrastructure, Research, Legal, and Preparedness to align on implementation plans and tradeoffs. Lead technical execution directly when needed, including prototyping controls, writing and reviewing software, and coordinating engineers across teams. Work with penetration testers to close gaps in defenses. You might thrive in this role if you: Are an exceptional hands-on technical executor. Have worked with advanced
We’re on a mission to build the world’s first AI Development Infrastructure: software that enables enterprises to safely evolve from today’s AI assistants to tomorrow’s autonomous workflows, all while maintaining full visibility and control. We’re creating a new category, and we need a Product Marketing leader to help define it. You’ll shape and scale Coder’s story across every touchpoint, building thought leadership, deepening our enterprise presence, and influencing how the world thinks about AI development. You’ll define the vision and strategy for the team, working across the company to drive clarity, alignment, and growth, and position Product Marketing as a force multiplier for our business. This role is perfect for a player-coach: someone who can translate complex technology into clear, credible stories, lead insightful analyst conversations, and dive deep into customer segmentation - all in a day’s work. What you’ll do here Evaluate, refine, and validate Coder’s messaging and positioning to explain how we fit into enterprise AI transformations. Build clear, visual frameworks that communicate complex design choices and product architecture to technical decision-makers. Drive alignment and consistency across internal teams and customer touchpoints through continuous iteration. Partner with Sales, Customer Solutions, and Product to identify and operationalize emerging use cases for Coder at the frontier of agentic development. Grow the Product Marketing team while providing strategic guidance on scaling thought leadership, developer relations, and enablement to create cohesive marketing to our ICP. Drive a unified technical content strategy with Marketing, Product, and Customer Solutions that connects product truth to customer needs and market opportunities, strengthening Coder’s technical credibility. What we’re looking for 10+ years of relevant experience, with 3+ years in a leadership/management role Action‑oriented; execute autonomously in fast-changing env
Role Description Dropbox is building the knowledge layer that connects content, context, and action. As AI moves from assistants to systems that act, the structure and stewardship of enterprise knowledge becomes the difference between AI that helps and AI that fails. This role owns the context layer our AI depends on: what it can know, what it can trust, and what it is allowed to act on. You will lead the central function, setting the strategy, architecture, standards, and operating model that make enterprise knowledge reliable, current, and permissions-aware for both human and AI use, while domain experts stay accountable for the accuracy of their content. AI capability changes quickly, and this role changes with it. What a model can interpret, how content needs to be structured for retrieval, and what a system can safely act on all shift as the technology moves. You will track those shifts, translate them into practical standards, and revise your own past decisions when the ground moves under them. This is the first role of its kind at Dropbox. You will partner with IT, Engineering, Legal, Privacy, and Security, and your decisions will show up directly in how AI performs across the company. Responsibilities Define the source-of-truth strategy for enterprise knowledge: which systems are authoritative, what is indexed centrally versus fetched live, what is eligible for AI use, and what is archived or excluded, informed by an assessment of the authoritative sources behind our highest-value workflows. Define the enterprise standards that make content AI-ready across structure, metadata, provenance, and access, including where semantic models or knowledge graphs are warranted and where they are not, and translate them into authoring patterns adopted across domains. Design the control model for AI actions, including eligibility rules, preconditions, approval boundaries, escalation paths, and rollback requirements, so systems that act on enterprise knowledge stay traceab
Role Description Dropbox is building the knowledge layer that connects content, context, and action. As AI moves from assistants to systems that act, the structure and stewardship of enterprise knowledge becomes the difference between AI that helps and AI that fails. This role owns the context layer our AI depends on: what it can know, what it can trust, and what it is allowed to act on. You will lead the central function, setting the strategy, architecture, standards, and operating model that make enterprise knowledge reliable, current, and permissions-aware for both human and AI use, while domain experts stay accountable for the accuracy of their content. AI capability changes quickly, and this role changes with it. What a model can interpret, how content needs to be structured for retrieval, and what a system can safely act on all shift as the technology moves. You will track those shifts, translate them into practical standards, and revise your own past decisions when the ground moves under them. This is the first role of its kind at Dropbox. You will partner with IT, Engineering, Legal, Privacy, and Security, and your decisions will show up directly in how AI performs across the company. Responsibilities Define the source-of-truth strategy for enterprise knowledge: which systems are authoritative, what is indexed centrally versus fetched live, what is eligible for AI use, and what is archived or excluded, informed by an assessment of the authoritative sources behind our highest-value workflows. Define the enterprise standards that make content AI-ready across structure, metadata, provenance, and access, including where semantic models or knowledge graphs are warranted and where they are not, and translate them into authoring patterns adopted across domains. Design the control model for AI actions, including eligibility rules, preconditions, approval boundaries, escalation paths, and rollback requirements, so systems that act on enterprise knowledge stay traceab
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Key Responsibilities Facility shift team. Day/Night rotate shift is required. Develop and implement comprehensive facility management programs to ensure detailed operations. Coordinate with internal teams and external vendors to maintain and upgrade facility infrastructure. Conduct regular inspections and assessments to determine the condition of facilities and implement preventive measures. Coordinate and lead all aspects of facility projects, ensuring they are completed on time and within budget. Ensure compliance with all safety and environmental regulations strictly. Provide technical support and troubleshooting for facility-related issues. Collaborate with cross-functional teams to successfully implement process improvements and cost-saving initiatives. Leverage approved Generative AI, AI Assistants, and digital technologies to enhance facility operations, process optimization, knowledge management, and operational excellence while ensuring the responsible use of Artificial Intelligence in accordance with Micron policies. Requirements To be considered for this role, you should have: A bachelor’s degree in engineering, Facilities Management, or a related field, or equivalent experience. Proven experience in facility engineerin
Agents have changed the game for software delivery and efficacy. Diligent is the leading GRC platform in the world, and we are racing ahead to take the agents show on the road and work with the customers where they work . The FDE function will lead the change on how we embed AI agents into some of the world’s most complex governance, risk and compliance environments. This is not a support or consultancy role. It is a builder role, for someone who is equally comfortable reading a failing agent trace, running a discovery workshop with a bank’s internal audit team, and translating what they find into a production-grade agentic solution. You will be building AI agents for GRC professionals , not assistants that surface suggestions, but agents that own complex, multi-step workflows end to end . Agents that customers can hand a task to and trust it will come back done. Closing the gap between a promising prototype and something a company Board and ELT depends on is a completely . Here’s a breakdown of what you’ll do Embed directly with major enterprise customers (global banks, regulated corporates) across EU and US ; sitting wi th internal audit teams, risk functions, compliance and governance professionals to understand their real workflows and devise agentic solutions to intelligently automate them creating tremendous efficacy and efficiencies for our customers. Run agent-focused discovery workshops, rapidly prototype agentic solutions, and test them with practitioners; distinguishing between workflows that need an agent and those that need a button. Source, integrate, and move data between enterprise systems as part of live customer implementations — understanding the real data landscape customers operate in and building reliable pipelines to support it . Take agents from prototype t
Staff Software Engineer Bengaluru, Karnataka, India Opportunity Get Well is seeking a visionary and technically adept Staff Software Engineer to architect, design, develop, and optimize our cloud-native healthcare platform while driving the adoption of AI-First and AI-Augmented Software Engineering practices. This role is pivotal in shaping the future of software development at Get Well by combining deep technical expertise with modern AI-assisted engineering workflows. As we evolve toward an AI-First engineering organization, this leader will champion the use of Generative AI, AI development assistants, and Agentic AI to improve developer productivity, software quality, and engineering velocity. The ideal candidate brings deep expertise in software architecture, cloud-native application development, AI-enabled engineering, and distributed systems. This role provides technical leadership across multiple engineering teams, ensuring high standards for architecture, code quality, reliability, security, and AI adoption. This is a hands-on leadership role where strategic thinking meets deep engineering execution within a complex healthcare environment. This position reports to the Director, Product Development and requires close collaboration with software engineers, AI engineers, product managers, DevOps, QA, and compliance specialists. Key Responsibilities Technical Leadership Define and drive the architecture of scalable, distributed healthcare platforms. Champion AI-First Software Engineering practices across the development lifecycle. Lead the adoption of AI-Augmented Development , including spec-driven development, AI-assisted coding, code reviews, testing, and documentation. Establish engineering standards, Cursor/AI coding guidelines, reusable patterns, and governance for responsible AI usage. Provide hands-on leadership in architecture, coding, design reviews, debugging, and performance optimization. Mentor enginee
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The role At Okta, we believe AI will fundamentally transform how design, research, and product development happen. We are looking for a Senior Design Operations Program Manager, Agentic Design to lead the operationalization and enablement of internal AI agents, plug-ins, and automated workflows across our Design team — reimaging how designers create in the AI era through internal AI agents. In this role, you will bridge the gap between AI tooling capabilities and practical design ops execution. You will partner closely with design, product management and design systems to govern, evaluate, deploy, and scale AI-driven design capabilities — making our 60+ person design org dramatically faster, more consistent, and highly innovative. This is a tactical, execution-focused builder role for an operations leader who is deeply curious about AI tools, understands modern UX workflows, and excels at change management, team enablement, and operationalizing new frameworks. What you'll do AI & Agentic Design Enablement Serve as the operational connective tissue driving AI adoption, evaluation, and workflow integration across Product Design, UX Research, and Content Design. Manage the intake, evaluation, and approval process for design plug-ins, Model Context Protocol (MCP) integrations, and generative AI tools (e.g., custom content design assistants, design-to-code agents). Partner with internal engineering teams to operationalize, ship, and drive adopt
Get new lead assistant controller manager jobs by email
Daily job updates · Unsubscribe anytime