With millions of diners, 60,000+ restaurant partners and 25+ years of experience, OpenTable, part of Booking Holdings, Inc.

(NASDAQ: BKNG), is an industry leader with a passion for helping restaurants thrive. Our world-class technology empowers

restaurants to focus on what matters most – their team, their guests, and their bottom line – while enabling diners to discover

and book the perfect restaurant for every occasion.

Every employee at OpenTable has a tangible impact on what we do and how we do it. You’ll also be part of a global team and its

portfolio of metasearch brands. Hospitality is all about taking care of others, and it defines our culture.

About the job

As a Staff Technical Program Manager (TPM), you will orchestrate the planning, development, and execution of key technical

projects. Your leadership will bridge product and engineering efforts, ensuring seamless roadmap alignment, milestone tracking,

and risk management. You'll play a crucial role in advancing both engineering and business strategies through effective

collaboration and visionary program management. Effective stakeholder management and critical thinking are paramount in this role,

as is the ability to exercise sound judgment in complex scenarios. Your strategic oversight and ability to navigate through

ambiguity will drive our engineering and business vertical strategies forward.

Responsibilities:

Collaborate with product and engineering leaders to establish program plans and milestones, proactively managing risks and

setting clear objectives.

Drive roadmap alignment across product areas, ensuring strategic goals are met through effective cross-functional coordination.
Lead transformation initiatives and develop strategic roadmaps, fostering a collaborative environment to achieve alignment.
Advocate for engineering excellence by supporting reliable software systems and improving productivity across teams.
Partner with Software Engineering, Platform Infrastructure, and other key functions to maintain high-quality standards.
Provide mentorship to junior TPMs, fostering their professional growth and enhancing overall program management capabilities.

Minimum Requirements:

8-10+ years of experience in software development program management across cross-functional projects.
5+ years in a program management role.
Expertise in Agile methodologies and tools.
Demonstrated ability to navigate software engineering challenges.
Proven ability to work effectively with both technical and non-technical team members.
Experience coordinating release schedules and building sustainable processes.
Hands-on expertise in automation and scripting, enabling the creation and optimization of workflows to automate various

processes efficiently.

Preferred Qualifications:

Background in a growth-stage or tech company.
Skilled in decomposing products or features into technical components and dependencies.
Experience in software development with one or more general-purpose programming languages.
Familiarity with Jira and Confluence tools.

Benefits and Perks

Work from (almost) anywhere for up to 20 days per year
Focus on mental health and well-being:
Company-paid therapy sessions through SpringHealth
Company-paid subscription to Headspace
Annual company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!)
Paid parental leave
Generous paid vacation + time off for your birthday
Paid volunteer time
Focus on your career growth:
Development Dollars
Leadership development
Access to thousands of on-demand e-learnings
Travel Discounts
Employee Resource Groups
20 days of paid time off
Private health and dental insurance
Life and Disability insurance
Free lunch 2 days per week
Convenient downtown SF office location close to the Embarcadero MUNI and BART stations.
Building amenities, such as a gym & bike parking

The best connections happen face-to-face, whether you’re sitting down to dinner or having coffee with a coworker. That’s why

OpenTable has adopted a hybrid workplace model. This role aligns with that approach, with an expectation of coming into the office

two days a week—giving employees the best of both worlds: in-person collaboration and flexibility.

We offer a competitive base salary and benefits including: health benefits; flexible spending account; retirement benefits; life

insurance; paid time off (including PTO, paid sick leave, medical leave, bereavement leave, floating holidays and paid holidays);

and parental leave benefits. This role is eligible to be considered for an annual bonus and equity grant.

Work Environment & Flexibility

At OpenTable, we pride ourselves on fostering a global and dynamic work environment. As a team member with us, you will benefit

from a schedule tailored to accommodate a global workforce operating across multiple time zones. While the majority of your

responsibilities may align with conventional business hours, there will be instances where you are expected to manage

communications - via calls, Slack messages, or emails - outside of regular working hours to effectively collaborate with

international colleagues, respond to restaurant partners, and/or address urgent matters. OpenTable will always abide by and

consider local laws and regulations.

Inclusion

We’re committed to creating a workplace where everyone feels they belong and can thrive. We know the best ideas come when we bring

different voices to the table, so we're building a team as dynamic as the diners and restaurants we serve—and fostering a culture

where everyone feels welcome to be themselves.

If you need accommodations during the application or interview process, or on the job, we’re here to support you. Please reach out

to your recruiter to request any accommodations.

#LI-[SFO, Hybrid]

Roll

Sr Technical Program Manager

Kategori

Other

Plats

San Francisco, CA

Publicerad

22 juli

Sista ansökningsdag

22 augusti

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Liknande jobb

Scientist/Sr. Scientist, Computational Chemistry

General Proximity•San Francisco, CA

TL;DR General Proximity is a seed-stage startup developing the next generation of induced proximity medicines (IPMs). Our OmniTAC drug discovery engine furnishes molecules that co-opt existing cellular machinery to overcome therapeutic challenges, which have remained unapproachable to other modalities for decades. We are seeking a first-rate [https://www.youtube.com/watch?v=Uyzqmn8Azuo] computational chemist to help us pioneer this uncharted frontier of drug discovery. ---------------------------------------------------------------------------------------------------------------------------------- OUR STORY A long-standing challenge in drug discovery is the development of molecules capable of modulating difficult or "undruggable" targets. Disease-causing proteins can be dysfunctional in many different ways, but our armamentarium for fixing them is quite limited. The most common mechanism of action for FDA-approved drugs is inhibition[1] [https://www.nature.com/articles/nrd.2016.230], but there are many other possible perturbation types whose potential remains unrealized. General Proximity is a seed-stage drug discovery company developing a novel platform technology to solve this problem. We make bifunctional drugs that induce the modification of drug targets by existing cellular machinery (rather than through direct modulation by the drug, the classical approach). Historically, the development of technologies that allow one to push new buttons in biology has been an incredibly fertile field for the discovery of new medicines[2 [https://www.nature.com/articles/nrd3410], 3 [https://www.nature.com/articles/nrd.2016.213], 4 [https://www.nature.com/articles/nrd.2016.211]], and our technology holds the same promise. THE POSITION We are seeking an exceptional computational chemist to support our computational chemistry, cheminformatics, and molecular design efforts. This role will help drive small-molecule drug discovery programs by providing practical modeling support, applying modern computational workflows, and using the cheminformatics and AI-enabled tools that empower medicinal chemists and project teams. The successful candidate will be a hands-on drug designer: someone who can partner closely with medicinal chemists, structural biologists, biologists, and DMPK scientists to guide compound design from hit identification through lead optimization and candidate selection. They will also apply practical tools that improve decision-making, accelerate design-make-test-analyze cycles, and make computational and AI-driven methods accessible to bench chemists. The ideal candidate is a computational drug hunter who combines strong technical expertise with practical medicinal chemistry judgment. This person should not be an isolated modeler, but a true project partner who sits with chemistry teams, understands the design problem, proposes molecules, helps interpret data, and contributes tools that make the broader organization faster and smarter. This role is ideal for someone who has worked in a pharma or biotech computational chemistry group and wants to work with modern, AI-enabled computational methods while remaining directly involved in molecule design. WHAT YOU'LL DO Computational Chemistry and Molecular Design Provide hands-on computational chemistry support to small-molecule discovery programs from target evaluation, hit identification, hit-to-lead, and lead optimization through candidate nomination. Apply structure-based and ligand-based design approaches to guide compound design, including docking, molecular dynamics, pharmacophore modeling, QSAR, scaffold hopping, virtual screening, FEP/free-energy methods, and multi-parameter optimization. Use structural biology data, including X-ray structures, cryo-EM structures, homology models, and AlphaFold-derived models, to generate actionable design hypotheses. Partner with the medicinal chemistry team to interpret SAR, optimize potency, selectivity, physicochemical properties, ADME/PK, developability, and synthetic feasibility. Contribute to computational design discussions with project teams and translate complex modeling results into clear, practical medicinal chemistry recommendations. Support portfolio prioritization by evaluating target tractability, ligandability, binding-site quality, chemical matter, and developability risks. Cheminformatics and Data Infrastructure Use and help improve chem and bioinformatics tools that support compound registration, structure-searching, SAR analysis, property visualization, compound triage, library design, and project decision-making. Apply tools for chemical data handling, including similarity and substructure searching, R-group analysis, matched molecular pairs, reaction enumeration, compound clustering, property prediction, and visualization. Work with internal or external engineering and data science teams to integrate chemical, biological, DMPK, structural, and assay data into usable project dashboards and design tools. Follow best practices for chemical data quality, assay data curation, compound annotation, metadata standards, and reproducible computational workflows. Use commercial and open-source computational tools, including platforms such as Schrödinger, MOE, CCDC tools, ChemAxon, KNIME, Pipeline Pilot, RDKit, DataWarrior, Spotfire, and related systems. AI/ML and Digital Chemistry Tools Apply user-friendly AI/ML-enabled molecular design tools, including generative chemistry, predictive ADME/Tox models, property prediction, active learning, virtual screening, and decision-support systems. Help incorporate AI tools into the DMTA cycle, including compound prioritization, library design, synthetic route ideation, molecular-property prediction, and design hypothesis generation. Support AI literacy across chemistry and project teams by helping colleagues understand appropriate use, limitations, and interpretation of predictive models. Help develop workflows that allow medicinal chemists to use modeling and AI tools without requiring deep computational expertise. Collaboration and Continuous Improvement Contribute to the computational chemistry approach for projects and align it with discovery program needs. Serve as a subject-matter resource for computational chemistry, cheminformatics, AI-enabled design, and molecular modeling. Support collaborations with CROs, software vendors, academic groups, and computational chemistry consultants where appropriate. Represent computational chemistry in project team meetings and program discussions. Maintain awareness of emerging computational, AI, and cheminformatics technologies and recommend adoption where scientifically and operationally justified. ABOUT YOU High Agency. Initiative, independence, and self-accountability are some of our most valued traits. Enthusiastic. We love people who are excited about what they are doing and are generally attempting to build a high-energy team. Intensity and Grit. Early-stage startups are hard. Drug discovery is doubly so. We are looking for candidates who have a demonstrated ability to stick with complex problems for the long haul, with a team that has your back along the way. Prosocial. We are here to create life-saving medicines for the patients who need it most. You should be, too. QUALIFICATIONS & NICE-TO-HAVES * PhD in Computational Chemistry, Medicinal Chemistry, Chemical Physics, Biophysics, Cheminformatics, Physical Organic Chemistry, or a related discipline. * A minimum of 3 years of relevant experience in pharma, biotech, or a drug discovery-focused research environment. * Track record of using computational chemistry to impact small-molecule drug discovery programs, ideally through hit-to-lead or lead optimization. * Hands-on expertise in structure-based drug design, ligand-based design, docking, molecular dynamics, virtual screening, QSAR, FEP/free-energy methods, pharmacophore modeling, and multi-parameter optimization. * Strong working knowledge of medicinal chemistry principles, SAR interpretation, physicochemical property optimization, ADME/PK concepts, and developability considerations. * Practical experience with cheminformatics platforms, chemical databases, chemical data curation, compound registration systems, and project-facing visualization tools. * Experience with AI/ML applications in molecular design, including predictive modeling, generative chemistry, active learning, or AI-enabled compound prioritization. * Strong programming or scripting ability, preferably Python, with experience using cheminformatics toolkits such as RDKit and modern data science workflows. * Ability to communicate complex computational concepts clearly to medicinal chemists, biologists, and non-specialist stakeholders. * Ability to collaborate within cross-functional teams and influence project decisions through strong scientific input. * Nice to have: * Experience working in a biotech or fast-moving discovery organization * Experience implementing user-friendly modeling tools for medicinal chemists * Familiarity with cloud-based or high-performance computing environments * Experience with automated DMTA workflows, electronic lab notebooks, compound management systems, assay-data systems, and integrated discovery platforms * Experience supporting discovery across multiple modalities, such as covalent inhibitors, bifunctional molecules, and molecular glues * Familiarity with synthetic accessibility prediction, retrosynthesis tools, reaction enumeration, and library design * Scientific contributions through publications, presentations, patents, open-source contributions, or demonstrated project impact BENEFITS [https://www.generalproximity.bio/benefits] * Strong equity incentives. We are looking for candidates who will bring a strong sense of ownership to drive their project areas forward, and we believe that you deserve to be compensated accordingly. * Top tier medical, dental, and vision coverage + One Medical membership. * 401(k) retirement plans. * Education and health/fitness incentive programs. * Meditation retreats—do a ten-day Vipassana retreat without counting towards vacation days. * Reading budget! We will buy you books. 📚 * Located in the MBC BioLabs at 135 Mississippi Street, an entrepreneurial hub full of the best scientists and operators the Bay Area has to offer. Our lab is a very short walk from the 22nd St Caltrain Station and a number of wonderful restaurants and cafés. ABOUT US Work Hard/Play Hard. We believe time is our most valuable commodity, so we strive to create a culture that reflects this. We won’t drag you through unnecessary meetings or email you at 7 PM on a Saturday. When we're at work, we're there to get things done, and when we're off, we're really off. 🌴 Strong Communication. We like well-written documents over PowerPoints, OKRs over vague mission statements, and weekly one-on-ones over yearly reviews. Writing First. We have a "writing-first" culture. We believe that clarity of writing reflects clarity of thinking and that the benefits of well-written documentation in a scientific environment are innumerable: democratization of ideation and decision-making, increased reproducibility, quicker scaling and onboarding, and better company-wide alignment, to name a few. Growth. As an early-stage startup, we value scientists with an independent, can-do attitude. The more hats you can wear, the better. Our job as employers is to put you in positive feedback loops so you can grow in the direction of your choosing. ---------------------------------------------------------------------------------------------------------------------------------- Title and compensation commensurate with experience. Applications from candidates of diverse backgrounds, women, and members of underrepresented minority groups are particularly welcomed. We look forward to hearing from you. :) More info at jobs.generalproximity.bio [https://jobs.generalproximity.bio/]

Sista ansökan: 29 aug.Publicerad: 29 juli

Other

Scientist/Sr. Scientist, DMPK

General Proximity•San Francisco, CA

tl;dr General Proximity is a seed-stage startup developing the next generation of induced proximity medicines (IPMs). Our OmniTAC drug discovery engine furnishes molecules that co-opt existing cellular machinery to overcome therapeutic challenges, which have remained unapproachable to other modalities for decades. We are seeking a first-rate [https://www.youtube.com/watch?v=Uyzqmn8Azuo] DMPK expert to help us pioneer this uncharted frontier of drug discovery. Our Story A long-standing challenge in drug discovery is the development of molecules capable of modulating difficult or "undruggable" targets. Disease-causing proteins can be dysfunctional in many different ways, but our armamentarium for fixing them is quite limited. The most common mechanism of action for FDA-approved drugs is inhibition[1] [https://www.nature.com/articles/nrd.2016.230], but there are many other possible perturbation types whose potential remains unrealized. General Proximity is a seed-stage drug discovery company developing a novel platform technology to solve this problem. We make bifunctional drugs that induce the modification of drug targets by existing cellular machinery (rather than through direct modulation by the drug, the classical approach). Historically, the development of technologies that allow one to push new buttons in biology has been an incredibly fertile field for the discovery of new medicines[2 [https://www.nature.com/articles/nrd3410], 3 [https://www.nature.com/articles/nrd.2016.213], 4 [https://www.nature.com/articles/nrd.2016.211]], and our technology holds the same promise. The Position We are seeking an exceptional DMPK expert to join and lead our drug metabolism and pharmacokinetics function. This is a hands-on, high-impact role in which you will design and execute DMPK studies across our small molecule portfolio, interpret and communicate data to project teams, and serve as a key DMPK contributor in cross-functional settings. You will help shape scientific approaches, support regulatory activities, and play an important role in advancing programs from lead optimization through IND. You will work closely with our medicinal chemistry, structural biology, pharmacology, and toxicology teams to translate DMPK science into actionable program decisions. The ideal candidate is a hands-on scientist who combines solid technical expertise in ADME, in vivo PK, and PK/PD modeling with the ability to work independently and collaborate effectively across teams. This role is well suited for someone with a few years of DMPK experience at a pharma or biotech who now wants to take on greater ownership and grow at a mission-driven company working at the frontier of induced proximity medicine. This role benefits from familiarity with the unique DMPK challenges of induced proximity medicines and bifunctional molecules. These include non-linear and dose-dependent pharmacokinetics arising from ternary complex formation, linker and warhead metabolic soft spots, high molecular weight and physicochemical complexity affecting permeability and oral bioavailability, tissue distribution considerations for proteasome-engaging degraders, and the interpretation of hook-effect phenomena in in vitro and in vivo settings. Exposure to TPD, molecular glue, PROTAC, or other bifunctional modality DMPK is a plus for this role. WHAT YOU'LL DO In Vitro ADME Design, execute, and interpret in vitro ADME studies, including metabolic stability, CYP inhibition/induction, plasma protein binding, permeability (Caco-2/MDCK), solubility, and transporter assays. Contribute to in vitro–in vivo correlation (IVIVC) analyses to inform candidate selection and advance structure–activity/property relationships. Interpret metabolic soft spot and MetID data, translating findings into actionable guidance for medicinal chemistry teams. Support CRO relationships for outsourced ADME studies, including scientific oversight of study execution and data quality review. Bioanalytical Sciences Support bioanalytical activities for the portfolio, including CRO-performed LC-MS/MS method development for small molecules and their metabolites across biological matrices. Help ensure GLP-compliant bioanalytical practices for IND-enabling studies and monitor regulated bioanalysis timelines and data quality through CRO partners. Contribute to fit-for-purpose bioanalytical approaches for induced proximity molecules, including strategies for quantifying bifunctional compounds and target engagement biomarkers. In Vivo Pharmacokinetics Design and support in vivo PK studies across rodent and non-rodent species, including study design, data interpretation, and cross-program learnings. Perform high-quality PK data analysis (NCA and compartmental) using Phoenix WinNonlin or equivalent, ensuring accurate reporting and data integrity. Integrate PK data with pharmacology and toxicology readouts to inform candidate progression criteria and target product profiles. Coordinate with CROs for in vivo studies, tracking scope, timelines, and scientific deliverables. PK/PD Modeling & Simulation Perform PK/PD modeling and simulation, including PBPK modeling (Simcyp, GastroPlus) and allometric scaling to support human PK prediction. Apply quantitative pharmacology approaches to support translational decision-making, FIH dose selection, and clinical dose range prediction. Use modeling and simulation to inform go/no-go decisions and communicate DMPK findings to project teams. Present DMPK modeling results in cross-functional project team meetings. Regulatory & IND-Enabling Work Support DMPK execution for IND-enabling programs, including study design, drafting of study reports, and data package delivery. Contribute to DMPK sections of IND and CTA submissions; author and review relevant study reports and document sections. Support preparation of DMPK materials for interactions with regulatory agencies, including briefing documents. Maintain working knowledge of current regulatory guidance (DDI, MIST, bioanalytical method validation, ICH M9/M10) and apply evolving standards. Collaboration & Cross-Functional Contribution Contribute to DMPK team goals and priorities in alignment with company objectives and pipeline evolution. Serve as an active member of cross-functional project teams, contributing DMPK input to program planning and decision-making. Support DMPK input for scientific evaluations and collaborations as needed. Support clinical pharmacology activities as programs advance toward IND, including FIH dose projections, DDI risk assessment, and exposure–response analysis; contribute to clinical pharmacology sections of regulatory documents. Help track CRO spend and study timelines in alignment with program milestones. Author and present scientific findings through peer-reviewed publications, conference abstracts, and posters; contribute to General Proximity’s scientific credibility and platform visibility in the induced proximity field. ABOUT YOU High Agency. Initiative, independence, and self-accountability are some of our most valued traits. Enthusiastic. We love people who are excited about what they are doing and are generally attempting to build a high-energy team. Intensity and Grit. Early-stage startups are hard. Drug discovery is doubly so. We are looking for candidates who have a demonstrated ability to stick with complex problems for the long haul, with a team that has your back along the way. Prosocial. We are here to create life-saving medicines for the patients who need it most. You should be, too. QUALIFICATIONS & NICE-TO-HAVES * PhD in pharmacokinetics, pharmaceutical sciences, or a related discipline. * A minimum of 3 years of industry experience in DMPK, spanning drug discovery and development, with a track record of contributing to small molecule programs. * Demonstrated ability to work independently and collaborate effectively within cross-functional project teams. * Hands-on expertise in in vitro ADME and in vivo PK, with the ability to translate data into actionable drug discovery insights. * Proficiency in PK data analysis (Phoenix WinNonlin or equivalent) and familiarity with PBPK/PK-PD modeling platforms (Simcyp, GastroPlus, or equivalent). * Experience contributing to IND-enabling DMPK studies and authoring study reports. * Working knowledge of FDA, EMA, and ICH guidance relevant to DMPK (DDI, MIST, M9/M10, bioanalytical validation). * Strong communication and presentation skills, with the ability to clearly convey DMPK science to cross-functional teams. * Hands-on experience with bioanalytical activities, including LC-MS/MS method development in support of DMPK studies. * Working knowledge of clinical pharmacology principles, including FIH dose projection, DDI risk assessment, and exposure–response analysis, sufficient to support drug development through early clinical stages. * Nice to have: * Experience working in a startup or early-stage biotech environment * Experience contributing to a small molecule program advancing toward or through IND * Experience with novel modalities such as TPD, molecular glues, or PROTACs * Familiarity with AI/ML-based ADME prediction tools and an interest in integrating computational approaches (e.g., ML-driven metabolic stability or permeability models, digital twins for PK simulation) into the DMPK workflow alongside established platforms such as Simcyp and GastroPlus BENEFITS [https://www.generalproximity.bio/benefits] * Strong equity incentives. We are looking for candidates who will bring a strong sense of ownership to drive their project areas forward, and we believe that you deserve to be compensated accordingly. * Top tier medical, dental, and vision coverage + One Medical membership. * 401(k) retirement plans. * Education and health/fitness incentive programs. * Meditation retreats—do a ten-day Vipassana retreat without counting towards vacation days. * Reading budget! We will buy you books. 📚 * Located in the MBC BioLabs at 135 Mississippi Street, an entrepreneurial hub full of the best scientists and operators the Bay Area has to offer. Our lab is a very short walk from the 22nd St Caltrain Station and a number of wonderful restaurants and cafés. ABOUT US Work Hard/Play Hard. We believe time is our most valuable commodity, so we strive to create a culture that reflects this. We won’t drag you through unnecessary meetings or email you at 7 PM on a Saturday. When we're at work, we're there to get things done, and when we're off, we're really off. 🌴 Strong Communication. We like well-written documents over PowerPoints, OKRs over vague mission statements, and weekly one-on-ones over yearly reviews. Writing First. We have a "writing-first" culture. We believe that clarity of writing reflects clarity of thinking and that the benefits of well-written documentation in a scientific environment are innumerable: democratization of ideation and decision-making, increased reproducibility, quicker scaling and onboarding, and better company-wide alignment, to name a few. Growth. As an early-stage startup, we value scientists with an independent, can-do attitude. The more hats you can wear, the better. Our job as employers is to put you in positive feedback loops so you can grow in the direction of your choosing. ---------------------------------------------------------------------------------------------------------------------------------- Title and compensation commensurate with experience. Applications from candidates of diverse backgrounds, women, and members of underrepresented minority groups are particularly welcomed. We look forward to hearing from you. :) More info at jobs.generalproximity.bio [https://jobs.generalproximity.bio/]

Sista ansökan: 29 aug.Publicerad: 29 juli

Other

Sr Technical Program Manager

Parloa•New York

ABOUT PARLOA Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience — one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, Allianz, SAP, BarmeniaGothaer and TUI already deploying Parloa at scale. ABOUT THE ROLE As a Senior Technical Program Manager at Parloa, you will lead the end-to-end delivery of enterprise Agentic AI deployments, owning execution across complex customer implementations from kickoff through go-live and hypercare. You will act as the central delivery owner across customers, internal delivery teams, and external partners, ensuring enterprise programs are delivered successfully, on time, and at scale. This is a highly cross-functional, customer-facing role where you will combine structured program leadership with technical delivery coordination, partnering closely with Forward Deployed Engineers, Agent Architects, Product, Sales, Solution Engineering, and partner organizations to drive successful enterprise AI transformations. You will also play a key role in helping scale Parloa’s delivery organization by driving operational rigor, improving governance processes, and mentoring junior TPMs across the team. AREAS OF OWNERSHIP ENTERPRISE DELIVERY LEADERSHIP * Own end-to-end delivery across scope, timeline, budget, quality, risks, and dependencies for enterprise AI deployments * Lead implementations from SOW kickoff through design, integration, UAT, production go-live, and hypercare * Drive execution across cross-functional delivery pods consisting of Forward Deployed Engineers, Agent Architects, and partner teams * Maintain project governance across project plans, RAID logs, milestone tracking, risk management, change requests, and escalation handling * Proactively identify delivery risks, resource constraints, and implementation blockers while driving alignment across stakeholders CUSTOMER & STAKEHOLDER MANAGEMENT * Serve as the primary delivery contact for enterprise customer stakeholders, including executive sponsors and technical leaders * Translate business objectives into structured implementation plans with clear ownership, milestones, and success criteria * Lead governance meetings, executive updates, steering committees, UAT reviews, and go-live readiness discussions * Manage customer escalations and maintain delivery momentum across complex, high-visibility programs * Partner closely with Engagement Management post-go-live to support long-term adoption and expansion opportunities TECHNICAL & CROSS-FUNCTIONAL COORDINATION * Coordinate technical delivery across integrations, infrastructure, environments, testing, and deployment readiness * Partner closely with Product, Sales, Solution Engineering, Support, and Deployment Strategists to ensure smooth customer execution * Support pre-sales activities including delivery scoping, resource estimation, SOW reviews, and implementation risk assessment * Manage co-delivery execution with SIs, GSIs, BPOs, and external implementation partners * Ensure technical and operational dependencies are aligned across all delivery workstreams DELIVERY EXCELLENCE & OPERATIONAL RIGOR * Apply Agile, Waterfall, or Hybrid methodologies based on customer needs and implementation complexity * Drive consistency across delivery governance, implementation standards, documentation, runbooks, and operational processes * Ensure compliance, security, and data governance requirements are incorporated into delivery planning * Mentor junior TPMs and help establish scalable delivery best practices across the broader organization WHAT SUCCESS LOOKS LIKE * Enterprise Agentic AI deployments launch successfully, on time, and with strong customer outcomes * Customers, partners, and internal teams trust you to drive clarity, accountability, and execution across complex enterprise programs * Risks, dependencies, escalations, and delivery challenges are proactively managed before impacting implementation success * Delivery processes, governance frameworks, and TPM best practices scale effectively as Parloa continues to grow WHO YOU ARE * 6+ years of experience in technical program management, enterprise software delivery, consulting, professional services, or customer implementations * Proven experience leading complex enterprise deployments involving integrations, multiple stakeholders, and cross-functional delivery teams * Strong technical credibility and comfort discussing integrations, APIs, infrastructure dependencies, and implementation trade-offs * Experience managing enterprise programs across Agile, Waterfall, and Hybrid delivery methodologies * Strong stakeholder management and executive communication skills with the ability to influence alignment across technical and business teams * Highly organized, execution-oriented, and comfortable operating in fast-paced, ambiguous environments * Strong ownership mindset with the ability to proactively drive issues to resolution and maintain delivery momentum * Experience mentoring junior team members or helping establish scalable delivery processes and governance standards NICE TO HAVE * Experience with conversational AI, LLMs, or enterprise AI deployments * Exposure to CCaaS platforms, APIs, or enterprise integrations such as Genesys, Five9, NICE, or Avaya * Experience supporting pre-sales scoping, SOW development, resource estimation, or delivery planning * PMP, Scrum Master, Agile, or related certifications * Experience working with SIs, GSIs, BPOs, or multi-region enterprise delivery programs * Passion for AI tooling, operational excellence, and delivery process optimization OUR RECRUITING PROCESS: Talent Acquisition → Hiring Manager → Technical Case Study & Stakeholder Interview(s) → Bar Raiser WHY PARLOA? We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale and want your work to matter in real, everyday moments, this is where you do it. At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them. We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one. Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI. Compensation for this role is structured as On-Target Earnings (OTE), consisting of a base salary and performance-based variable component, in addition to an equity package. Salary Range $150,000—$170,000 USD ---------------------------------------------------------------------------------------------------------------------------------- Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. Parloa is an e-verify employer in the USA. Please click here to learn more. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

Sista ansökan: 16 aug.Publicerad: 28 maj